DE102022111410A1 - Process, system, personality model, avatar user device, computer program and a neural network to support interpersonal communication - Google Patents

Abstract

The invention relates to a method, system, personality model (PM1, MP1', PM1'', ... PM2, PM2', PM2''), user device (AG1, AG1', AG1', ... AG2, AG2', AG2''), computer program and a neural network (DNN1, DNN2, DNNZ) for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2''). In the method, supporting an interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2'') by means of one or more first personality models (PM1, MP1', PM1'') or avatars (AV1, AV1', AV1''). or several first persons (P1, P1', P1'') and/or one or several second personality models (PM2, PM2', PM2'') or avatars (AV2, AV2', AV2'') of one or several second persons (P2, P2', P2'').

Description

The invention relates to a method, a system, a personality model, a computer program for supporting interpersonal communication.

Furthermore, the invention relates to a correspondingly set up stationary or portable user device, at least one avatar, and a correspondingly set up neural network. The user device and the neural network can be set up to carry out the method or as part of the system.

The object of the invention is to show a method, a system, a user device, a personality model, a neural network and a corresponding computer program for supporting communication. In particular, the object of the invention is to provide an improved method for operating a user device that can be operated essentially stationary (e.g. in a living room) or that can be carried by a person. It is also the object of the invention to enable desired or appropriate communication, influencing, interaction between at least two different living spaces, user devices or people, and/or to avoid undesired or inappropriate influencing and/or communication for one To facilitate users of the user device with another user or to make it more effective. Furthermore, it is the object of the invention to determine or adapt an, in particular, subjective (e.g., emotional, cognitive or psychological) effect of a communication, in particular of a communication message that can be output on a user device, for example.

The object is solved by the features of each of the independent claims. Advantageous configurations are characterized in the dependent claims.

According to a first aspect, the invention is characterized by a method for supporting interpersonal communication between one or more first persons and one or more second persons. In the method, the communication is supported by means of one or more personality models of one or more first persons and/or one or more personality models of one or more second persons.

According to a second aspect, the invention is characterized by a method for supporting interpersonal communication between one or more first persons and one or more second persons. In the method, the communication is supported by means of one or more avatars of one or more first persons and/or one or more avatars of one or more second persons.

The at least one (e.g. first and/or second) personality model can be a technical (e.g. set up with technical means, in particular computer-implemented and/or executable) model of characteristics of personality, ways of communication, ways of acting of the respective person (e.g. one or act several first or one or more second persons). The personality model may be dynamically executable.

In particular, a personality model or avatar is not or directly controlled by a real person or does not have to be controlled. Rather, these (e.g. on the basis of the appropriately set up artificial intelligence) can act partially or completely independently of (e.g. voluntary) control or influence by people (e.g. communicate with each other or with real people).

In particular, the personality model is characterized by a selection of the properties of the respective person or multiple people. These can be properties, in particular properties relating to communication (e.g. in relation to a specific type of communication or specific communication) which characterize the respective person, in particular typical for them and/or which these people differ from other people, in particular from a standard value or distinguish average. The properties of the personality, in particular parameters of the properties, can be expressed in a scientific form (e.g. known from psychology, communication sciences), e.g. as respective absolute or relative quantitative measures, include or be such.

A similarity of the personality model or avatar (with regard to all properties or a certain selection of properties) with the person of more than 50, 70, 80, 90% can be achieved. For example, such properties can show a significant difference of 5, 10, 20, 30, 40, 50, 60% in personality models or avatars of different people.

It can preferably be properties of the respective persons that the person has revealed in one or more (e.g. a large number) of communications in the past and/or that have been determined on the basis of one or more communications.

The at least one personality model can be designed to be executed according to the selected characteristics, eg a selection of characteristics of a first or second person.
In particular, the at least one (first and/or second) personality model can include or be a (preferably dynamically executable) simulation of the properties of the (one or more first or one or more second) person or persons.

Supporting the communication can be done by executing the one or more first personality models and/or one or more second personality models. In particular, the communication can be supported as a function of the result of the execution of the one or more first personality models and/or one or more second personality models, in particular the information ascertained as a function of the execution. The one or more first personality models and/or one or more second personality models can be operated to support the communication.

For example, a first communication assistant may be operated for the one or more first persons dependent on operating one or more second personality models, or a second communication assistant may be operated for the one or more second persons dependent on operating the one or more first personality models. A personality model and/or avatar may be and/or be used as a proxy for the one or more (respective) people.

A personality model can be part of an avatar of a person, in particular of one or more corresponding people. For example, an avatar can be operated depending on the respective personality model, in particular based on the personality model of the respective person(s). This is to be understood in particular in such a way that the avatar can be operated at least partially and/or temporarily depending on the respective personality model, in particular it is operated during operation of the method. For example, an avatar can include a personality model (e.g. set up or operated by means of artificial intelligence), be such a personality model or be controlled by it.

In particular, a personality model (or avatar) can include or be a (e.g. appropriately set up) neural network. In particular, it should be understood that a (first or second) avatar can be set up on the basis of (each) a neural network or operated by the at least one neural network.

The at least one (first and/or second) personality model can be used for one or more specific (specific) people (e.g. one or more of the first people and/or one or more of the second people as users of the method) and/or for a specific species of communication or a specific communication. For example, the one or more first personality models of the one or more first persons can be specific or set up specifically for the (respectively) one or more first persons. For example, the one or more second personality models can be specific or set up specifically for the (respectively) one or more second persons. These can be set up with the aim of depicting, in particular executing, the personal characteristics of the corresponding persons within certain deviation limits and/or with or without a specific, in particular adjustable, difference.

A (first or second) personality model can, for example, be set up to act for a (first or second) person, to act in the sense of a (first or second) person and/or to act like the (first or second ) person would act (e.g. in the same or similar context and/or in the same or similar situation). This can take place in the course of the communication that is being supported or that is to be supported and/or as part of a simulated communication.

In an example that can be combined with all of the features described in the present document, multiple personality models or avatars can be operated for one (eg first and/or multiple) person. For example, they can participate in several (eg at least partly parallel, concomitant and/or overlapping) several (eg at least partly independent) communications, eg be used in parallel simulated communications or represent the person in a real (interpersonal) communication.

Particularly preferably, the one or more of the (first and/or second) personality models and/or avatars described in the present document are also set up (e.g. trained or configured) and/or operated depending on data that differ from the information, self-disclosures, and /or different attitudes of the respective persons. This results in the advantage that the personality model or avatar is not limited to the so-called self-image and/or conscious perception of oneself and/or a wish to be perceived in a specific way. Rather, the personality models and/or avatars can (also) be set up dependently, in particular on the basis of the data relating to the respective person, the (also) objective characteristics that the person himself is not aware of, unconscious and/or have shown in the past mark the person. These can be representative of the characteristics that are not (or not explicitly) conscious or unconscious for the respective person themselves and/or for a communication partner of the person. Thereby, enhanced communication support can be performed.

In particular, a personality model or avatar can be set up depending on parameters that characterize moral ideas, conventions, conscious and/or unconscious needs of the person (e.g. shown over a longer period of time).

Particularly preferably, at least one (first or second) personality model or avatar can be operated depending on the (e.g. cognitive, emotional and/or psychological) state of the respective (first or second) real person (e.g. during operation of the method), in particular executed and/or controlled. In particular, the personality model or avatar is executed or controlled depending on the current state or the state expected for the period of communication (e.g. for this predicted) state of the respective person. For example, the (respective) personality model or avatar can thus represent both the (essentially long-term applicable) characteristics of the person and their currently valid or expected (e.g. short-term applicable or expected) state in the time interval of the communication.

The method can include carrying out an at least partially simulated communication using one or more personality models of one or more first persons and/or one or more personality models of one or more second persons. In particular, this can also be understood as an (e.g. active or at least partially automatic, simulated or virtualized) execution of at least part of the communication using the one or more first personality models or the one or more second personality models. Therefore, the method may include at least partially simulated communication.

The simulated communication is to be understood in particular as an at least partially and/or temporarily simulated communication. In this case, at least one of the communication partners can differ from a real person. The virtualized communication can take place at least partially and/or at least temporarily independently and/or detached from the real communication (e.g. taking place directly or indirectly by one or more real persons and/or on the basis of the exchange of information). This can (also) differ from the transmission or exchange of user information.

The simulated communication can relate to a specific parameter of the context and/or situation. In particular, the simulated communication can be carried out in a simulated context and/or in a simulated situation.

In particular, the simulated communication can be carried out depending on a current, possible, expected and/or predicted context and/or situation.

At least one first personality model or avatar can preferably be used during the execution of the simulated communication depending on the first data relating to the one or more first persons, in particular relating to their state, in particular an ego state, a cognitive, emotional and/or psychological state. At least one second personality model or avatar can preferably be controlled when performing the simulated communication depending on the second data relating to the one or more second persons, in particular relating to their state, in particular an ego state, a cognitive, emotional and/or psychological state become. Alternatively or additionally, at least a first and/or second personality model or avatar can be controlled depending on the state of the second or first person. This can be the respectively current state or the state expected (eg predicted for this) at the time interval of the communication.

When operating, in particular executing, the one or more first personality models and/or one or more second personality models, a natural language and/or body language can be used (e.g. original language or body language that is also used or expected in interpersonal communication). Alternatively or additionally, a different (e.g. different from the original language) natural language and/or a protocol that characterizes non-verbal communication messages and/or influences (e.g. cognitive, emotional and/or psychological) can be used. The protocol can, for example, include or be a coding for different influences or non-verbal communication messages. In particular, an information technology protocol (e.g. based on a specific, special standard or agreement created for this purpose) can be used. Such a protocol can be intended or set up to carry out a simulated communication. It can characterize different parameters of the non-verbal communication messages and/or influences, in particular sequences of such parameters.

For example, simulated communication (e.g., between one or more of the first personality models and one or more of the second personality models) may be performed using natural language and/or a protocol. For example, text and/or communication messages and/or influences can be used (sent and/or received by an avatar). In other words, a first avatar need not smile at the second avatar (physically, so to speak) or emit an interjection in the form of an audio signal. A code (e.g. a character string, binary sequence) corresponding to different non-verbal communication messages or influences can be used within the framework of the protocol (e.g. agreed for this purpose).

The protocol can be used as an alternative or in addition (e.g. together or in a specific order) to the texts and/or information content, which in particular characterize the factual aspect of the communication. A first avatar (e.g. on a user device) can non-verbally influence a second avatar (with or without a corresponding or accompanying text or factual aspect), in particular for the purpose of determining the information that can be used to support communication, e.g. for a test , e.g. convey a code character for a specific (e.g. cognitive, emotional and/or psychological) influence and/or a non-verbal communication message. In this way, information about the change in the state of the second avatar and/or a response from the second avatar can be determined.

In the simulated communication, a part of the communication can be generated, for example, by one or more (e.g. first or second) personality models and/or a reaction to the part of the communication (e.g. the second or first) personality model can be determined. For example, depending on the simulated communication, supporting a portion of the communication may involve the one or more real people. For example, based on the generated portion of the communication and/or the response data may be provided and/or used to support at least a portion of the communication.

In particular, depending on a communication from a first person or a first personality model (or the avatar), one or more first persons to the second personality model (or avatar), and/or in the communication of a second person or a second personality model (or of the avatar) of one or more second persons to the first personality model (or avatar) the information (e.g. described in the present document) is determined. This information can be provided or used to (further) support communication.

For example, a simulated communication can be carried out between one or more first personality models or avatars (on the one hand) and one or more second personality models or avatars (on the other hand), with information to support the (useful content or on the real Persons effective supporting) communication involving the one or more first real people and / or one or more second (real) people is determined.

The at least one piece of information determined, in particular identifying the communication message and/or the reaction to the at least one communication message, can relate to a specific context and/or situation (also to be understood in particular: be assigned to a specific context and/or situation). For example, one or more parameters of the context and/or one or more parameters of the situation can be taken into account when performing the simulated communication. The support of the interpersonal communication (e.g. through the information determined by means of the simulated communication) can be carried out in a context-specific and/or situation-specific and/or person-specific manner.

For example, a simulated communication involving one or more first personality models and/or one or more second personality models can be carried out before and/or (e.g. at least partially and/or at least temporarily) in the same time interval with a portion of the communication (e.g. to be supported interpersonal). . In the context of the present document, the simulated communication is to be understood in particular as an at least partially simulated communication.

The method can include supporting a number of different communications, in particular those running at least partially in the same time intervals. The support can be carried out by means of personality models and/or avatars that are essentially the same or adapted (e.g. depending on the respective communications, of participating communication partners, contexts, situations, etc.). For example, the one or more first persons and/or one or more second persons can at least temporarily participate in several communications at the same time or at time intervals that overlap or be represented at least partially and/or temporarily by avatars.

The (at least partially simulated and/or at least partially real) interpersonal communication between one or more first persons and one or more second persons can be supported depending on the simulated communication, in particular depending on the data generated during the simulated communication. The interpersonal communication in which one or more (real) first persons and/or one or more (real) second persons are involved can be supported depending on the result of a virtualized communication.

In particular, at least part of the interpersonal communication carried out by a real (e.g. first or second) person and/or directed to a real (e.g. second or first) person can be at least part of the at least partially simulated or virtualized communication which is (e.g. predominantly) guided by means of the one or more first personality models and/or one or more second personality models.

The content of the communication, the speed at which the at least partially simulated or virtualized communication is carried out, one or more parameters of the communication described in the present document in any combination (e.g. relating to individual sections of the communication) of the at least partially simulated or At least partially (e.g. up to a certain degree of dissimilarity) differ or at least partially resemble (e.g. up to a certain degree of similarity) virtualized communication from that of (to be supported) interpersonal communication.

The simulated communication can be an (at least partially) simulated communication in which at least one of the communication partners differs from a real person or a person communicating essentially in real time. It can be a communication (e.g. one or more variants of the communication) in which the information, in particular information intended for the communication to be supported (e.g. useful information), is not transmitted. The simulated communication can be communication without a real effect or effect (e.g. on one of the real communication partners).

The one or more of the (first) personality models of the one or more first personality models depending on first data concerning one or more first persons and/or one or several of the (second) personality models of the one or more second personality models are trained and/or operated depending on one or more second data relating to one or more second persons. For example, the at least one first personality model can be implemented as a function of one (or more) neural networks, which is trained and/or operated as a function of one or more first parameters relating to one or more first persons.

For example, the at least one second personality model can be implemented as a function of one (or more) neural networks, which is trained and/or operated as a function of one or more second parameters relating to one or more second persons.

The neural networks described in the present document can be neural networks or areas of a neural network assigned to individual personality models or avatars. In this sense, all features described in the present document relating to the training and/or operation of the at least one neural network can be related (also directly) to the personality models or avatars. The one or more personality models and/or avatars can be implemented within the system, in particular within the at least one neural network, as centers that act at least partially independently of one another.

Supporting the communication between one or more (real) first persons and one or more (real) second persons can depend on the result of the (fully or partly) simulated, guided by means of one or more first personality models and/or one or more second personality models communication (e.g. part of the communication) are carried out.

The at least partially simulated communication can be carried out using multiple personality models and/or avatars. For example, upon entering, selecting or adjusting a draft of a communication message or a communication message (e.g. not yet addressed to the communication partner, ready to be sent or sent) an at least partially simulated communication with several personality models and/or avatars can be carried out. The communication (e.g. the current or further part of the communication) can be supported depending on the result of the execution of the at least partially virtual communication.

A (first or second) avatar can, for example, be set up to act for a (first or second) person, to act in the sense of a (first or second) person and/or to act as the (first or second) person would act (e.g. in the same or similar context and/or in the same or similar situation). In particular, the communication can be supported by means of one or more avatars of one or more first persons and/or one or more avatars of one or more second persons.

In an example that can be combined with all of the features described in the present document, incoming communication messages can be read in (so to speak perceived) by a personality model or avatar of the user (by their own avatar, so to speak). In this way, information to support (further) communication can be ascertained, in particular characteristic of an effect or reaction of the person. For example, a person (participating in several supported communications) can be supported in finding out which (e.g. cognitive, emotional and/or psychological) effect or reaction (and possibly in which of several communications this (at least approximately) would have (if these directly involved in the communication.

Supporting the communication can include or be the generation of feedback on the own condition of the one or more first persons and/or the one or more second persons. In particular, it can include or be feedback regarding the cognitive, emotional and/or psychological state of the respective communication partner in relation to a specific (e.g. expired, ongoing, possible, expected or predicted) communication. For example, the feedback can relate to a specific (e.g. expired, ongoing, expected or predicted) section of the communication. In other words, the feedback can (also) refer to a part of the communication that has not yet taken place in reality.

The feedback may be indicative of the (e.g., cognitive, emotional, and/or psychological) status and/or appropriate and/or recommended change in status of the one or more first individuals and/or one or more second individuals.

In particular, the simulated communication can be carried out with a specific, changing parameter of the context, the situation and/or the personal condition, which can change according to a specific mathematical context. For example, the parameters (eg according to a specific mathematical relationship) can be changed, in particular iterated. In this case, several variants of the simulated communication can be carried out and/or data from one or more simulated communications (in particular several variants of a communication) can be used to support the communication. In particular, these can be provided to support communication involving at least one real person in a similar context or in a similar situation. This has the advantage that it is not necessary to wait for a specific context or situation to occur.

In one with all other examples described in the present document, the method can include training a neural network depending on the execution of the simulated communication. The neural network can be used to support the communication or can be at least one neural network to support the communication. In particular, the neural network can be used to generate the information, in particular one or more pieces of information described in the present document, for supporting the communication.

One or more steps of the method described in the present document can be interpreted as features of a communication assistant to support interpersonal communication. A communication assistant, in particular an application for communication, for executing one or more steps and/or functionalities of the method can therefore be an aspect of the invention. The communication assistant can include or be a user functionality. In particular, this can include or be an operating interface for the respective (e.g. first or second) person. For example, the at least one communication assistant can be a user functionality of a communication application or a social network.

The communication assistant can preferably be a person-specific and/or context-specific and/or situation-specific communication assistant.

For example, this is set up, in particular trained, for specific people or people belonging to specific groups of people, for specific contexts, for specific situations. The communication assistant can be used to support communication, in particular to one or more first persons and/or to one or more second persons.

In particular, the communication assistant can be operated, in particular controlled, as a function of at least one neural network. It may be the neural network set up, trained and/or operated according to one or more features described herein. This can be used to operate the communication assistant or comprise or be at least one neural network for operating the communication assistant.

For example, a communication message and/or media output (e.g. text, speech, music, video) can be output to one or more personality models (e.g. assigned to different people and/or groups of people and in particular representing them (also to be understood in particular: read in by them). The one or more personality models can represent, for example, an audience, certain groups from a social network, consumer groups, etc. Depending on the effect of the communication message and/or the media output on the one or more personality models, one or more in the present Information described in the document is determined and made available.

The method or the communication assistant can be used to avoid errors and/or to improve personal communication. For example, information for checking and/or comparison with the perception of the user (e.g. the speaker, musician, etc.) can be generated. For example, an output to the user can be based on one or more information described in this document. In particular, an evaluation (e.g. generated by means of one or more simulated communications) is output, in particular a statistical evaluation. The method or information generated in the method can be used as a feedback provider for specific communication messages, communication behavior, for practicing communication or communication skills of one or more users.

The method, in particular the simulated communication, can be used to test texts, speeches or media content (of different types). For example, media content can be output to multiple personality models or avatars. As a result, a (eg statistical) evaluation of the reactions and/or effects of the texts, speeches or media content can be generated. An output (eg for the user, such as writers, speakers, artists) can be generated.

The at least one interpersonal communication supported in the method can include or be an at least partially virtual communication (also called “virtual communication” or simply “communication” in the further course of the document). This can be communication by means of and/or with the participation of at least one avatar of at least one person (e.g. a first person and/or a second person).

The at least one virtual communication is in particular (also) characterized in that at least one of the communicating persons, e.g. the at least one first person and/or at least one second person, communicates or is represented by an avatar or by means of an avatar.

The at least one virtual communication can be conducted in a virtual space (also to be understood in particular as “virtual space”) or by means of a virtual space (also to be understood in particular: to take place, to be carried out or to take place);

For example, at least one real person can at least partially and/or temporarily benefit from the creation of a communication message, the input of a specification for a communication message and/or direct perception of the at least one communication message, an image (e.g. image, camera image) and/or sounds of the communication partner be decoupled. This is to be understood in particular in such a way that at least one avatar (of the one or more persons) communicates at least partially and/or at times without direct operation, control, instruction of the one or more persons (e.g. with real persons and/or other avatars), acts, interacts with them or performs actions. For example, the one or more first persons and/or second persons can be represented at least partially and/or temporarily by an avatar (e.g. with the avatar operated for them or corresponding to them), in particular e.g. in a virtual space.

The one or more specifications VG1, VG1′, VG1″ can be specifications for the respective avatar (e.g. own avatar or set up or operated for several first persons). The one or more prompts may be directed to the avatar and/or may be intended for the avatar to consider (e.g., when communicating or acting automatically at least partially or at times). As in other examples of the invention, the specifications can only be taken into account at a later, particularly suitable, time interval.

For example, the one or more real first persons can be released or decoupled at least partially and/or temporarily from the communication, e.g. the generation of a communication message and/or from entering a specification for the communication or communication message. In particular, this should be understood to mean that at least one personality model or avatar represents them (e.g. in a virtual space).

For example, the one or more real second persons can be freed or decoupled at least partially and/or temporarily from direct perception of the at least one communication message, an image (e.g. image, camera image) and/or sounds of the respective communication partner (e.g. the one or more first persons). be. This is to be understood in particular in such a way that at least one personality model, in particular an avatar operated depending on the personality model, represents this (e.g. in a virtual space).

• - eine Kommunikation eines oder mehrerer Avatare (z.B. der einer oder mehreren ersten Personen) und einer oder mehreren realen (z.B. einer oder mehreren zweiten Personen).
• - die zumindest eine (erste und/oder zweite) reale Person kann an der Kommunikation, insbesondere vertreten durch ein Persönlichkeitsmodell bzw. Avatar), mittels eines (ersten und/oder zweiten) Anwendergeräts teilnehmen.

Communication is to be understood in particular as:

• - a communication of one or more avatars (eg one or more first persons) and one or more real ones (eg one or more second persons).
• - The at least one (first and/or second) real person can participate in the communication, represented in particular by a personality model or avatar, by means of a (first and/or second) user device.

For example, the communication can be conducted in an at least partially real space and/or in an at least partially virtual space. Such an at least partially real and/or at least partially virtual space can include at least partially real and/or at least partially virtual objects.

A partially real space is to be understood in particular in such a way that at least part of the spatial conditions is based on real data of a real condition (e.g. on data of a real living space). For example, the communication or interaction can be conducted in such a partially real space. At least one real person can be made perceptible at least partially by means of an avatar (e.g. appear or be augmented) and/or be represented by an avatar (e.g. partially and/or temporarily).

A partially virtual space is to be understood in particular in such a way that at least part of the spatial conditions is based on virtual data. This can be based on data from a virtual or virtually created (e.g. designed, created) situation, e.g. a living space that does not exist in reality. The at least partially virtual space can be superimposed or augmented around a real person, so to speak.

The room (e.g. one or more living rooms) can therefore be real to a certain extent and virtual to a certain extent. Alternatively or additionally, the communication can be conducted between one or more first persons and/or and or more second persons, with one or more first persons and/or one or more second persons being real to a certain extent and/or virtual to a certain extent (e.g. represented by at least one personality model or avatar assigned in particular to the person).

The at least one communication message can be generated to the at least one second person from the perceptual perspective of their avatar and/or interpreted by the avatar.

For example, the at least one second person can see, hear, and hear the one or more first persons from the distance, angle, and/or position corresponding to the virtual position of the second person's avatar to the real position of the one or more first persons. Alternatively or additionally, the environment and/or the one or more first persons can be interpreted by means of the personality model or avatar.

For example, the virtual space can be perceived differently by one or more first persons and by one or more second persons. This can also be during the same communication. Alternatively or additionally, the virtual space can (also) be perceived differently by one or more first persons or by one or more second persons.

This can be a neural network (e.g. deep neural network or DNN) set up to support at least partially virtual communication, in particular for one or more aspects of interpersonal communication (e.g. described in the present document). It can be a neural network that is set up or used (in particular at the same time) to operate one or more personality models or avatars described in the present document.

Alternatively or additionally, in facilitating the interpersonal communication, one or more recommended parameters about the communication and/or one or more drafts for one or more communication messages may be determined or adjusted. For example, supporting the communication can include or be a determination or adjustment of a parameter of at least one communication message, in particular a parameter that is non-acoustic and/or does not correspond directly or unambiguously to acoustic parameters. In particular, the determination or adjustment of the parameters (e.g. the at least one communication message) involves determining or adjusting the volume of the corresponding signals and/or a trigger to output them (e.g. condition for the communication message) or the determination or adjustment relates to one or several parameters deviating from the volume or a trigger and/or a (technical) structure of the communication connection.

The one or more first parameters can be the one or more parameters related to the first person and/or the environment of the one or more first persons. For example, the one or more first parameters relate to the living space of the respective first person or the position of the environment or living space where the respective first person is located. The one or more first parameters or the one or more second parameters can be parameters that directly or indirectly affect the respective person or can be parameters that relate directly or indirectly to the respective person. The one or more (first and/or second) parameters can be (qualitative and/or quantitative), in particular objective and/or statistical, scientific measures. These can be characteristic of the states, processes, effects, etc. known, for example, from communication science, psychology, in particular communication psychology.

Alternatively or additionally, the communication can be supported depending on the data characterizing a communication behavior and/or character of the one or more first persons and/or the one or more second persons. The communication behavior and/or character of the persons can (but does not have to) be determined explicitly or implicitly at least partially depending on the first parameter and/or second parameter, e.g. over longer periods of time. Parameters of the communication behavior and/or character of the (first and/or second) persons are preferably determined as a function of several previous communications.

Supporting the communication may be performed depending on the one or more first parameters and/or one or more second parameters relating to one or more time intervals from the past (e.g. in the last minutes, hours, days, weeks, months) and /or related to the current time interval (e.g. of one or more seconds or minutes) and/or to one or more time intervals in the near future (e.g. parameters predicted or assumed for the near future).

The communication can be supported specifically for a particular communication, one or more directions of communication, people involved in the communication, in particular from the combination or constellation of people (e.g. from a first number (N) of the first people to a number (M ) of the second persons), a certain time interval, context, situation, type of communication, a specific communication. Each aspect of assisting may be performed depending on the (e.g., predetermined) time interval, type of communication, specific communication, determined or predicted context, situation, emotion of the one or more first persons and/or one or more second persons.

The supporting may be performed depending on the (e.g. set and/or detected) type of communication to be supported. Different types of support can be provided for different types of communication (e.g. small talk, private, friendly, playful, intimate, family, factual, business, etc.) and/or communication related to specific topics.

The support is to be understood in particular in the context of the communication, in particular a larger communication or a communication comprising several communication messages, and/or a relationship, in particular a relationship between the persons. The communication may be a communication interaction and/or communicating in a partial duplex (e.g., bi-directional or multi-directional) or full duplex. For example, supporting the one or more first persons (e.g. generating various information outputs for the one or more first persons) can take place depending on the one or more second parameters.

Supporting the communication relates in particular to several communication messages, in particular initiated in different directions, in particular transactions (e.g. comprising second communication messages as answers, comments on one or more first communication messages). For example, the goal and/or the result of the support can relate to a number of communication messages, to a major part of the communication or to the entire communication. For example, the aim is to achieve an improvement, in particular an optimization with regard to several communication messages (e.g. number or sequence of communication messages) or the result of several communication messages. This can also happen if at least one communication message (e.g. taken alone) leads to a less desirable or undesirable result.

The communication can be supported, for example, depending on a conscious expression of will (e.g. an attitude, agreement, no rejection and/or an explicit operator action by the one or more first persons and/or the one or more second persons. For example, supporting one or several first persons, in particular certain variants of support described in the present document (e.g. each individually), require an (explicit and/or implicit) consent of the one or more second persons or vice versa Communication with one or more second persons subject to a verification (explicit and/or implicit) consent of the one or more second persons (or vice versa).

The (interpersonal) communication involving one or more first persons and one or more second persons may be or include (e.g. bilateral, multilateral) communication between the one or more first persons and the one or more second persons.

The communication can be an interaction of the one or more first persons (e.g. number N second persons) with the one or more second persons (e.g. number M second persons). The communication can be at least partially or entirely a telecommunication or at least partially or entirely a communication conducted without technical means or with non-technical means (e.g. acoustically and/or by means of body language), in particular face-to-face communication.

In particular, the one or more communication messages within the framework of the communication can be partially or fully transmitted using technical means and/or at least partially without technical means. The support of the interpersonal communication can relate at least partially to a telecommunication and/or at least partially to a face-to-face communication and/or at least partially to a virtual communication, in particular by means of a virtual space. The method does not have to involve transmission of the unaltered communication messages (e.g. between the user devices of the persons). In the context of the present document, the term "telecommunication" can differ from the transmission of communication messages and/or essentially only the transmission of communication messages or corresponding data.

Supporting the communication is in particular support in arranging the communication and/or in the course of the communication and/or with regard to the content of the communication (e.g. one or more communication messages) and/or with regard to the achievement of one or more goals of the communication, desired effects and /or to understand reactions.

Supporting the communication particularly preferably relates to various (e.g. described in the present document) at least partially subjective aspects of interpersonal communication (in particular at least partially virtual communication) or effects typical of interpersonal communication (in particular at least partially virtual communication). For example, the support can take place with regard to various processes or effects known from communication sciences, perception sciences, cognitive sciences and/or psychology. These can be taken into account in an objectified form (e.g. as respective qualitative and/or quantitative measures).

In particular, support for communication does not or does not only refer to the establishment or control of a connection, in particular a connection serving to transmit information (e.g. a data connection and/or transmission of the signals representing the communication, e.g. audio or video signals). Rather, aspects of communication abstracted from the establishment or control of the connection, e.g. with regard to data processing and/or the execution of certain functionalities, are supported.

The interpersonal communication may include multiple, e.g., near-simultaneous and/or multilateral, communications. Alternatively or additionally, the communication can include or be a virtual stay in a virtual space, various virtual encounters, actions, interactions, etc. This can (also) be a method for supporting virtual encounters, actions, interactions, etc.

The one or more first persons and/or one or more second persons can each belong to a specific first group of persons (eg a community, party, communication party, fraction, interest group, family, etc.). One or more first persons can be construed as a (first) communication party. One or more second persons can be understood as a (second) communication party. The first persons and/or the second persons (from the respective communication party) can each be characterized by specific goals, interests, opinions, points of view, identities, and/or expectations of the communication, in particular similar to one another. Certain variants of support can only be directed at one or more first persons or one or more second persons (e.g. one of the communication parties) and/or cannot be made perceptible or recognizable for the other person or cannot be made perceptible or recognizable .

In an example that can be combined with all other examples in the present document, a method for supporting a communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second Persons (P2, P2', P2'') described, the communication (KB12, ... KB21) by means of at least one avatar (AV1, AV1', AV1'', ... AV2, AV2', AV2'') at least one person (P1, P1', P1'', ... P2, P2', P2'') and who has at least one avatar (AV1, AV1', AV1'', ... AV2, AV2' , AV2'') depending on one or more personality models (PM1, PM1', PM1'', ... PM2, PM2', PM2'') of the at least one person (P1, P1', P1'', ... P2, P2', P2'') is operated.

The at least one personality model (VP1, VP1', VP1'') or (VP2, VP2', VP2'') described in the present document can have the at least one avatar (AV1, AV1', AV1'', ... AV2, AV2', AV2'') or be the avatar (AV1, AV1', AV1'', ... AV2, AV2', AV2''), (optionally) mutatis mutandis the same features as the avatar (AV1, AV1', AV1'', . . . AV2, AV2', AV2'') or be set up according to the features. Alternatively or additionally, the at least one personality model (VP1, VP1', VP1'') or (VP2, VP2', VP2') in an active connection with at least one (corresponding) avatar (AV1, AV1', AV1'', . .. AV2, AV2', AV2'') are available or operated.

The method deviates in particular from (e.g. direct or indirect) control of the avatar (AV1, AV1', AV1'', ... AV2, AV2', AV2'') or of several avatars (AV1, AV1') involved in the communication , AV1'', ... AV2, AV2', AV2''). In particular, the one or more, in particular first, avatars (AV1, AV1', AV1'') and/or second avatars (AV2, AV2', AV2''), in particular with regard to carrying out the at least partially virtual communication (KB12, ... KB21, ...) not controlled by the real persons (P1, P1', P1') or (P2, P2', P2'') (assigned to them).

Preferably, at least part of the communication (KB12, ... KB21, ...), action, interaction cannot or at least predominantly not be controlled by the real person (P1, P1', P1') or (P2, P2 ', P2'') take place. Rather, the avatar (AV1, AV1′, AV1″, . . . AV2, AV2′, AV2″) can at least partially , in particular predominantly generate the data for managing the communication, action, interaction or carry out the communication, action, interaction.

For example, the avatar (AV1, AV1', AV1'', ... AV2, AV2', AV2'') is a (virtual) perception of the parts of an at least partially virtual space VR, which in particular is at least partially virtual objects and/or (at least partially virtual and/or at least partially real communication partners (e.g. real persons P2, P2', P2'', ... P1, P1', P1'') or other avatars (AV1, AV1', AV1'', ... AV2, AV2', AV2'').

Furthermore, the avatar (AV1, AV1', AV1'', ... AV2, AV2', AV2'') with respect to the at least partially virtual communication (KB12, ... KB21, ...) with a certain independence , decision-making ability, decision-making authority or power of attorney must be set up. A specification (VG1, VG1′, VG1″) described in the context of the present document, in particular relating to communications, actions, interactions, actions that meet certain criteria, can be taken into account.

It can preferably be a virtual communication (KB12, ... KB21, ...) in which several people, in particular one or more first people (P1, P1', P1'') are represented by one or more first avatars ( AV1, AV1', AV1'') and/or one or more second persons (P2, P2', P2'') are represented by one or more second avatars (AV1, AV1', AV1'').

At least one first avatar (AV1, AV1', AV1'') of one or more first persons (P1, P1', P1'') is preferred depending on (in particular also to be understood by means of) one or more first personality models (PM2, PM2' , PM2'') and/or operated by the current first parameters; and at least one second avatar (AV2, AV2', AV2'') of one or more second persons (P2, P2', P2'') depending on (in particular also to be understood by means of) one or more second personality models (PM2, PM2', PM2'') and/or operated by the current first parameter.

The communication (KB12, ... KB21) by means of at least two avatars, in particular a first avatar (AV1, AV1', AV1'') of one or more first persons (AV1, AV1', AV1'') and/or one second avatars (AV2, AV2', AV2'') of one or more second persons (P2, P2', P2''). In this case, one or more (first or second) avatars (AV1, AV1', AV1'') or (AV2, AV2', AV2'') depending on at least one or more personality models (PM1, PM1', PM1') ', . ') operate. This can also happen if the person (P1, P1', P1'', ... P2, P2', P2'') himself is at least partially and/or at least temporarily not involved in the communication (KB12, ... KB21) participates and/or does not observe the communication (KB12, ... KB21), action, interaction, acting, etc. In particular, the one or more first persons (P1, P1', P1'') and/or the one or more second persons (P2, P2', P2'') can at least partially and/or at least temporarily separate from their avatars (AV1 , AV1', AV1'') or (AV2, AV2', AV2''). For example, the one or more first persons (P1, P1′, P1″) and/or the one or more second persons (P2, P2′, P2″) can still be present to one another or to their communication partners at least in the form described be.

For example, the at least one avatar can generate the report information (e.g. for the associated person). The report information relating to at least one virtual communication can be recorded and/or put into a form perceivable by humans. For example, the report information can be made visually, auditorily, haptically, olfactorily or gustatorically perceptible. This can be done, for example, from the perspective of the avatar (e.g. according to the "first person view" principle) and/or from a perspective that differs from the perspective of the avatar.

For example, the one or more first persons can operate their avatar (also understood to be assigned to them) as part of the at least partially virtual communication. This can be done using avatars that are trained depending on various parameters related to the person (e.g. the first parameters and/or second parameters).

This can be set up and/or trained to determine, in particular to simulate, the effects of various perceptions and/or reactions to them. The perception of at least partially real and/or at least partially virtual circumstances can be trained and/or operated depending on the perception of the one or more real people, in particular assigned to the avatar. This can be or include, for example, information perceived virtually, various communication messages, perceptions in the at least partially virtual space) and/or reactions to various perceptions.

Alternatively or additionally, the at least one avatar can be trained and/or operated, the effects of one or more perceptions or circumstances; and/or the reaction to the perceptions or circumstances, in particular to simulate them.

The at least one avatar is set up, in particular trained and/or operated, with one or more characteristics, in particular with regard to the character, the behavior, the external effect and/or the inner life of the one or more (e.g. in the assigned, for example the one or more first persons and /or one or more second persons), in particular with regard to communication. This can apply during operation or in a specific operating mode of the avatar. Alternatively or additionally, the at least one avatar can have a difference to the characteristics based on the characteristics of the one or more (specific) persons, in particular an adjustable, selectable, linked to one or more conditions, or can be set up or trained for them.

For example, the one or more (eg first and/or second) persons can generate said support information and/or voting information and/or feedback and/or report information through their respective personality models or avatars. This can also be the case with an at least partial or temporary absence or distraction from participating in the communication, Observation of the communication and/or non-perception of the at least partially virtual space. Based on the support information and/or coordination information and/or feedback and/or report information, a (preferably multimedia) perceptible sequence, story, film, experience can be generated (eg for the respective person or communication partner, group).

The at least one (first and/or second) item of report information can relate to the progress of the communication, actions, events in connection with the at least partially virtual communication. This can be characteristic, in particular representative, of an experience of communication and/or acting, interacting, acting, etc. in connection with virtual communication. The at least one piece of report information can be or include information from the visual perspective, perceptual perspective and/or report perspective of the avatar.

The one or more first parameters relating to one or more first persons include one or more parameters of one or more first communications of one or more first persons and/or one or more parameters of a first reaction of the one or more first persons to media content or are determined as a function of this become;
and or
one or more second parameters relating to one or more second persons include one or more parameters of one or more second communications of one or more second persons and/or one or more parameters of a second reaction of the one or more second persons to media content or are determined as a function of these .

Alternatively or additionally, the one or more (first and/or second) parameters relating to at least one (first or second) person can be at least partially based on the data from any data sources, in particular from the Internet, from portals, and/or profiles, etc . be determined. In particular, this can be data that corresponds to at least one respective (first or second) person and is assigned, in particular associated, to them according to one or more criteria, in particular patterns, and/or by means of the at least one neural network. For example, the parameters relating to one or more first persons and/or one or more second persons can be determined and/or processed, in particular depending on the parameters of the specific communication, communication partner, context, situation, etc. For example, depending on the communication to be supported (e.g. a preset or recognized type of communication), one or more persons involved in the communication, their respective context, situation, etc., specific, appropriate (first and/or second) parameters or Parameters of certain types are determined and / or processed.

For example, the parameters corresponding to the (respective) persons, assigned to them, in particular associated with them, can (also) depend on one or more parameters of the communication (to be supported) (e.g. a set or recognized type of communication), one or more communication partners , context and/or situation, etc. regarding the persons involved in the communication are determined and/or processed.

For example, appropriate or person-specific, context-specific, situation-specific parameters, e.g. dependent on one or more persons involved or their respective communication partners, parameters relating to one or more first persons and/or parameters relating to one or more second persons can be determined and/or processed . For example, parameters relating to one or more first persons can be determined and/or taken into account depending on one or more second persons or their parameters.

For example, communication-specific, context-specific, situation-specific, person-specific queries to various data sources can be generated and/or the data found can be processed in the method. For example, search engine queries can be generated in the method and/or the result of the query can be processed.

For example, the at least one neural network can be trained and/or operated, one or more parameters relating to one or more first persons and/or one or more second persons (e.g. depending on information from various data sources, e.g. databases, Internet, portals) to determine. For example, the at least one neural network can be trained and/or operated depending on a communication to be supported (and in particular depending on a or a plurality of known or determined first parameters or second parameters), to generate queries and/or to determine further parameters (e.g. corresponding to these).

For example, the data sources can include or be profiles at least partially created by the respective person and/or at least partially generated using the data of the person. For example, they may be more or less persistent or dependent on multiple communications and/or profiles created to support particular communications. One or more profiles can be generated e.g. depending on personal information, a catalog of questions, a psychological test (e.g. from a result of a psychological test).

For example, one or more of the data sources, in particular profiles (e.g. by one or more of the respective persons) can be at least partially enabled and/or at least partially blocked for use in executing the method. For example, the method can include a query of settings and/or operator actions that determine the use or usability of specific data sources for the data of (respective) people.

For example, the at least one neural network can be trained and/or operated to read in and/or process the data relating to the one or more first persons and/or one or more second persons from the data sources, in particular profiles, for carrying out the method.

For example, the at least one neural network can be trained and/or operated to support one or more first persons, at least primarily to ask questions to one or more second persons and/or to generate answers that are used to achieve a goal of communication, a are conducive to a certain effect or reaction, in particular lead directly or indirectly to the achievement of the goal, effect or reaction. Depending on data sources, requested and/or ascertained data can be used or also used.

One or more steps of the method can be carried out by appropriate training and/or operation of the at least one neural network. Of course, this does not exclude the use or joint use of other means, e.g. computer-implemented formulas, rule-based algorithms, etc. For example, at least part of one or more method steps can be carried out using other means. A significant part of the processing of the parameters described in the present document and/or a significant part of the effect of the method can preferably take place by means of the at least one neural network. Alternatively or additionally, the at least one neural network can, for example, carry out pre-processing and/or post-processing of the data, e.g. of the respective parameters.

The method for supporting the at least partially virtual communication can include or be: determining one or more first parameters relating to at least one first person, in particular by means of one or more first user devices and/or one or more second parameters relating to at least one second person, in particular by means of a or multiple first user devices; and thereupon: supporting an at least partially at least partially virtual communication involving the one or more first persons and one or more second persons, wherein the supporting is carried out dependent on at least one neural network which, depending on the one or more first parameters, relates to at least one first person and/or one or more second parameters relating to at least one second person is trained and/or operated.

In particular, the at least one neural network can be trained and/or operated for one or more specific groups of people, specific people, specific combinations of people, specific directions of the communication message. The neural network can be trained starting from comparatively larger or more general cases (e.g. starting from an at least partially trained neural network for a number of people, in particular a large group of people or people belonging to one or more groups of people), in particular in one or several steps, for smaller or more specific cases (e.g. for people belonging to certain groups of people, for specific groups of people, for certain people, for more specific parameters) further trained (e.g. retrained in each case). In this sense, so-called transfer learning can be carried out in relation to the at least one neural network.

For example, the at least one neural network is initially trained on the basis of cases, parameters or categories that cannot be distinguished or are roughly (eg in 4-8 classes) distinguishable or differentiated. With that can the first data of the neural network are generated. These can already be used for operation. Further training is preferably carried out on the basis of the first data, with more finely or finely (eg in 8-64 classes) differentiable or differentiated cases, parameters or categories being trained. In this case, one or more data sets of the second data of the neural network can be generated, which (in each case) are suitable together with or in addition to the first data for handling specific cases or a large number of cases.

For example, the first data mainly represents the layers of the neural network close to the input layer and the second data (e.g., respective, multiple data sets of the second data) mainly represents the layers of the neural network close to the output layer. In particular (e.g. during training, updating and/or operation), the first data and second data can be combined in an expedient manner.

• - Wertebereichen, Klassen und/oder Muster erster Parameter; (z.B. Szenen, Kontexte, Arten der Kommunikation, etc. in der Umgebung erster Anwendergeräte)
• - Wertebereichen, Klassen und/oder Muster zweiter Parameter; (z.B. Szenen, Kontexte, Arten der Kommunikation, etc. in der Umgebung erster Anwendergeräte)
• - Zugehörigkeit zu Personengruppen;
• - Kombinationen von Personen zugehörig zu unterschiedlichen Personengruppen;
• - bestimmte erste Personen und/oder bestimmte zweite Personen;
• - Bestimmte Kombinationen bestimmter ersten Personen und/oder bestimmter zweiter Personen;
• - Kommunikationsbotschaften die in bestimmte Richtungen, z.B. von (auch zu verstehen im Namen, im Auftrag) einer oder mehreren bestimmten ersten Personen an eine oder mehrere bestimmte zweite Personen gerichtet sind.

For example, after a first training that relates to an entry from the following list, a second training (e.g. the corresponding transfer learning) can be carried out that relates to one or more of the following entries:

• - value ranges, classes and/or patterns of first parameters; (e.g. scenes, contexts, types of communication, etc. in the environment of first user devices)
• - value ranges, classes and/or patterns of second parameters; (e.g. scenes, contexts, types of communication, etc. in the environment of first user devices)
• - membership of groups of people;
• - Combinations of people belonging to different groups of people;
• - certain first persons and/or certain second persons;
• - Certain combinations of certain first persons and/or certain second persons;
• - Communication messages that are directed in specific directions, eg from (also to be understood in the name of, on behalf of) one or more specific first persons to one or more specific second persons.

The determination of one or more first parameters by means of a first user device can also mean that the parameter in the environment of the (respective) first user device (e.g. with means of the first user device or with means of a device directly or indirectly networked with the first user device, e.g. a Sensor system, especially in its environment or within the same living space) is determined. For example, the determination of one or more first parameters of the communication or the reaction of the one or more first persons with the first user device can mean that the communication or the reaction of the at least one person is controlled by means of a further (e.g. directly or indirectly networked with the user device ) device, e.g. by means of an output device, a multimedia output device is detected or determined. The features described can (also) apply to the second parameters in a corresponding manner.

The first parameters and/or second parameters can alternatively or additionally include other parameters that correspond to the (in particular respective) first parameters and/or second parameters, in particular in terms of time, space and/or causality, e.g. in a time, space or causal relationship. For example, further (first and/or second) parameters described in this document, which correspond to the respective (first or second) sections of the communication, the reaction or the effect of the communication message and/or reaction to the communication message, can be used as first parameters or second parameters are used or used together with the respective first or second parameters.

The determination and/or processing of one or more first parameters by means of a first user device can be dependent (e.g. in a specific dependency) or independent of the use of the user device, in particular dependent (e.g. in a specific dependency) or independent of its use for outputting content , as a means of communication, etc. For example, the one or more first parameters are determined, in particular recorded or processed, by means of a first user device (only or also) while this is not actively used or is in a mode of low activity (eg standby mode). The one or more parameters (this is also to be understood as meaning the respective parameter value) can characterize a respective (specific) property, in particular a property that changes continuously or in several stages over the course of time, for example qualitatively and/or quantitatively to. The features described can (also) apply to the second parameters in a corresponding manner. Each of the parameters described in this document can identify more than two parameter values or take on several intermediate values, eg identify values that do not correspond or do not only correspond to Boolean values. For example, a parameter value characterizes a respective qualitative and/or quantitative measure. The one or more parameters can then be at least partially (further) processed with the first user device.

The parameters for generating the communication message are determined and/or processed in particular at least partially using means of the one or more first user devices and/or at least partially using means of the one or more second user devices. For example, one or more parameters (e.g. of those described in this document) of the at least one communication message (e.g. transmitted from the user device of the sender or person specified as the sender to the user device of the recipient) can depend on the second (current or predicted) parameters of the recipient be. For example, one or more parameters of the communication message are determined or adjusted in a specific dependence on the first parameters and the second parameters. The initiation of the generation of the communication message and/or the transmission and/or the output of the at least one communication message can (also) be dependent on the first parameters and/or the second parameters or on the dependent on the first parameters and/or the second Parameters trained and / or operated neural network are executed.

For example, the communication message is initiated, transmitted and/or output using the user device of the recipient and/or depending on the second parameters associated with the recipient (and in particular independently of the first parameters of the sender). In other words, an intelligence can be created that determines or co-determines communication messages that a recipient receives from or on behalf of a sender (also) depending on the parameters of the recipient.

Supporting the at least one at least partially virtual communication on the (first and/or second) user device is to be understood in particular in such a way that the one or more corresponding outputs (e.g. depending on one or more information determined in the present document) in the environment of the (first and/or second) user device (e.g. directly or indirectly to the relevant person). Furthermore, corresponding (e.g. virtual) operating elements and/or input options can be provided on the user device. These can be set up according to the one or more functionalities described in the present document or to operate the functionalities.

The at least one communication message (e.g. belonging to the at least partially virtual communication) can be output more or less directly to the second person. The at least one communication message is in particular an output that can be directly perceived or interpreted with one of the human senses. This can be generated as a function, in particular on the basis of the information to be transmitted and/or as a function of the specification. In particular, the communication message is or includes a media output, in particular a multimedia output. For example, the communication message is made accessible or perceivable for the at least one second person in the form of a media output, in particular a multimedia output.

The at least one communication message can be output on the at least one second user device (or possibly on a plurality of respective second user devices). This is also to be understood in particular as: through which at least one second user device takes place, in particular using means of the user device or to a second user account. The output can take place by means of a device that is directly or indirectly networked with the second user device, e.g. in the vicinity of the user device.

The term “output” in relation to the communication message is to be understood in particular as a possibility of retrieving, perceiving, outputting and/or making outputtable the communication message on the second user device or using means of the user device. For example, the output can take place using means of an (output) device that can be operated in the vicinity of the second user device, in particular in the same living space. For example, the outputting of the communication message on the second user device can mean that the communication message is sent by means of a further device (eg directly or indirectly networked with the user device), eg with means an output device, multimedia output device, loudspeaker, headphones, headset (e.g. converted into sound waves, images, video sequences, into a form that people can hear and/or visually perceive and/or interpret).

The communication message can preferably be generated by or on behalf of the one or more first persons. The communication message is preferably directed, in particular only or essentially only, to the one or more (respective) second persons. This is also to be understood in such a way that the communication message is directed to an environment of the second user device and/or to a number of (possibly specific) second persons.

The at least one communication message is particularly preferably dependent, in particular on the basis of a specification and/or dependent on an expression of will and/or an explicitly or implicitly expressed wish of the one or more first persons, e.g. part of the content, topic, purpose of the communication, goal of the communication, a suggestion to be transmitted, an emotion and/or a desired reaction of the at least one second person. The specification may include at least a portion (e.g., less than 50, 30, 20, 10%) of the content and/or form to be conveyed with the communication message to one or more second parties.

The specification can be one or more (e.g. desired, to be fulfilled or necessary) features, in particular dimensions and/or characteristics of the communication to be supported (e.g. desired by the one or more first persons) and/or a communication message to be generated or adapted include. The specification of the one or more first persons can be or include an abstract, descriptive input (e.g. input that can be entered or selected by one or more persons via the user interface). For example, the specification can include or be a simplified or abstracted description (so to speak, a high-level description) of the desired features of the at least one communication message and/or the (desired, desired, intended) result. The specification preferably identifies at least two features of different types relating to a communication to be aimed for and/or a communication message to be generated. The specification can relate to a communication, section of the communication or communication message that is not yet taking place and/or is only potential or probable. For example, a specification can comprise less than 1, 5, 10, 20, 50% of the content and/or the information content of the communication, communication section or communication message that results therefrom or takes place depending on the specification. The one or more specifications can be taken into account in particular at a later (compared to the determination of the specification) time interval, in particular at a suitable time interval. For example, at a time interval when the (e.g. specified goal, desired effect or reaction or target values) can at least probably be achieved as well as possible.

The at least one specification of the one or more first persons can include a precondition with regard to the respective first person, environment of the one first person. The precondition can be abstract, in particular it can be formulated in an abstract manner. The term "abstract" is to be understood in particular as not being understood unambiguously or unambiguously as being related to simple events and/or individual parameter values. For example, the one or more preconditions may require interpretation. The method may include interpreting the one or more inputs from the one or more first parties. The specification of one or more first persons can be interpreted depending on the parameters relating to the one or more first persons. The interpretation can be carried out using at least one neural network.

Furthermore, the at least one precondition of a first person can relate to one or more first parameters of one or more further (different) first persons and/or to preconditions of the further persons. In particular, it is to be understood that for a first person a precondition comprising a criterion in relation to one or more other first persons can be specified. The other first persons can, for example, be first persons from the same group, in particular a communication group. The at least one precondition can include a logic that can be set (e.g. on the respective user device or by the respective person), can be selected or can be combined from a number of elements or can be linked to such a logic.

For example, a first person can specify (eg enter) a specification for a communication message to one or more second persons. A precondition can be specified therein. For example, the precondition can read "Communication message is only generated when the second person (as at least a potential recipient) is in a good mood". Furthermore, the at least one precondition can identify a dependency (e.g. adjustable or selectable by the one or more first persons) between the one or more second parameters of the at least one second person and the content, style, form, perception channel, level of detail of the communication message to be generated .

For example, one or more second persons can be given the opportunity to participate in a specific communication message, in particular if the precondition is met (e.g. if the precondition in relation to the one or more first parameters of the respective further first person is met). For example, a common communication message or communication message generated depending on a number of specifications can be given priority or only generated if the one or more (respective) first persons meet the precondition.

The one or more specifications of the one or more first persons can be entered using a graphical interface, voice and/or body language or can be determined and/or changed depending on the evaluation of the inputs, voices and/or body language. At least one specification can include a voice input or a video recording and/or can be recorded by means of a voice input or a video recording.

The method can include processing, in particular analyzing, at least two specifications from one or more first persons. At least part of the communication can be supported or the communication message can be generated that (as far as possible, as well as possible or according to certain optimization criteria) takes into account as many or all specifications and/or fulfills a goal or target value for the effect or reaction.

For example, a synthesis of as many specifications as possible, in particular all specifications, can be carried out. At least part of the communication can be supported or the at least one communication message can be generated on the basis of the synthesis.

One or more specifications can be processed depending on (in particular) respective first parameters and/or second parameters. For example, the at least one neural network is trained and/or operated to process, in particular to merge, combine and/or integrate (in particular also to understand: to synthesize) the one or more specifications.

For example, a default is processed depending on (e.g. past and/or current) parameters of one or more (respective) first persons. A (respective) parameter of a physical movement can be taken into account.

• - gemeinsamen, insbesondere sinngemäß gemeinsamen Teilen (z.B. Abschnitte und/oder Inhalte), Formen und/oder Muster aus mehreren Vorgaben; und/oder
• - unterschiedlichen, insbesondere sinngemäß unterschiedlichen Teilen (z.B. Abschnitte und/oder Inhalte), Formen und/oder Muster aus mehreren Vorgaben;

For example, the specifications and/or at least predominantly generated communication messages can be matched and/or combined, combined and/or integrated by means of matching information. In particular, the method includes recognizing and/or taking into account:

• - common, in particular mutatis mutandis common parts (e.g. sections and/or content), forms and/or patterns from several specifications; and or
• - Different parts (e.g. sections and/or content), shapes and/or patterns from several specifications, in particular parts that differ in terms of meaning;

For example, the identified information can be taken into account when supporting at least part of the communication or when generating and/or adapting the at least one communication message that is dependent on a number of specifications. This means in particular a communication message that is triggered depending on several specifications.

Alternatively or additionally, the at least one piece of voting information to the one or more first persons can be generated depending on the identified information.

For example (e.g. if it is recognized that the specifications of several first persons have comparatively great similarities to one another and/or have comparatively few differences, in particular contradictions) a common specification can be generated or at least part of the communication can be carried out according to one or more statistical values from several specifications or .the combined default are supported. In this case, a high degree of consensus can be confirmed by the voting information.

For example (e.g. if it is recognized that the specifications of several first persons have approximately average similarities to each other and/or approximately average differences, in particular contradictions), a combined specification can be generated or at least part of the communication can be processed according to one or more, e.g. statistical values from several specifications or the combined specification are supported. In this case, a medium degree of consensus can be confirmed by the voting information.

For example (e.g. if it is recognized that the specifications of several first persons have comparatively large differences, in particular contradict each other, and/or have comparatively few similarities), a modified procedure, e.g. formation of groups of the first persons, can be requested or initiated by the voting information.

A certain personal character of the communication message and/or a feature specific to the one or more first persons can be at least partially retained and/or generated (e.g. reproduced) with the communication message. A certain degree of control over the at least one communication message (e.g. goal and/or parameters of the communication message) and/or the communication (e.g. goal and/or parameters of the communication) can be maintained or increased by the one or more first persons.

The communication message can be a communication message initiated by one, two or more than two first persons and/or generated in the name of one, two or more than two first persons. Such a communication message can be generated depending on at least two specifications of the at least two first persons. The method can include: processing at least two specifications from at least two first persons, in particular aggregating them expediently. This can take place as a function of the one or more first parameters and/or one or more second parameters or as a function of the at least one neural network. These can be taken into account or processed. The at least two specifications can be processed, in particular analyzed and aggregated. Supporting the communication or generating or adapting at least one communication message can then be carried out depending (e.g. on the basis of) the result of the processing. Alternatively, at least two (e.g. at least partially finished) communication messages (e.g. as drafts for communication messages) can be generated depending on at least two specifications. These can be processed together or aggregated into at least one communication message. The processing, in particular the aggregation of a plurality of specifications or drafts of communication messages can take place depending on the one or more first parameters and/or one or more second parameters or depending on the at least one neural network.

Supporting the communication, in particular the same (e.g. multilateral) communication in the process, can be carried out differently for different first persons and/or for different second persons. In particular, the at least one communication message can be generated for at least one second person or several communication messages or variants of communication messages for several second persons. The two or more people can, for example, belong to a so-called group, e.g. in a social network or form a group (hereinafter also referred to as “communication group”) or belong to such a group. A communication message can take into account or include the parameters and/or specifications of at least two first persons. This can include personal input from at least two first persons and/or can be generated depending (in particular on the basis of) the input from at least two of the first persons. The communication message may be from or on behalf of one or more (any number N) first persons to one or more (any number M) second persons.

The method can support the one or more first persons in sending an effective communication message, in particular a communication message with a specific target value, e.g. one corresponding to a (first) target value (e.g. desired by one or more first persons and/or desired by one or more second persons or presumably desired) effect, e.g. leads to communication with the at least one second person that is as successful as possible in terms of one or more first persons and/or one or more second persons.

Furthermore, the method can support the one or more second persons in perceiving, processing and/or evaluating the at least one communication message or supporting the perceiving, processing and/or evaluating in the sense of the one or more first persons. In particular, interpersonal communication is supported (eg by means of the at least one communication message, one or more additional outputs generated in the method). Alternatively or additionally, the communication can be supported in such a way or that at least one communication message is generated in such a way (also to be understood in particular: one or more parameters of the communication or communication message are determined or adapted in such a way) that it has a specific effect, e.g. a one (second ) Target value corresponding (e.g. desired by the at least one second person) effect on the one or more (respective) second person achieved, e.g. to a (possibly also) communication with the one or more first person that is as successful as possible in terms of the at least one second person person leads. The method can be implemented as a functionality of a social network, a communication portal, a service. The features of the method can be combined with any known or future features of the social network or such services or services.

Depending on the first parameter and/or second parameter, one or more communication messages or variants of a communication message (which are e.g. caused by the same specification of the one or more first persons or are generated depending on the same specification) can be sent to different second persons (e.g. to different members of a communication group). The one or more communication messages can have different parameters, in particular characteristic of (respectively) different information, information in a different form, different parts (e.g. sections and/or content) for different channels of perception (in particular also to be understood: parts that appeal to different senses of the perceiving person or perceptible through different senses) and/or parts that are to be output at different points in time or when different preconditions apply. For example, the one or more parameters of the communication messages are determined or adjusted differently (e.g. appropriately in each case) for different members of a communication group.

• - gleiche oder ähnliche zu übermittelnde Information, insbesondere einen Sachaspekt (z.B. kann sich die Form, Wirkung und/oder anzuregende Reaktion oder weiteres unterscheiden);
• - gleiche oder ähnliche zu erreichende Wirkung bzw. anzuregende Reaktion (z.B. kann sich die übermittelte Information, Form, Stil, Wahrnehmungskanal, etc. unterscheiden);
• - gleiche oder ähnliche Teile (z.B. Inhalte und/oder Abschnitte) (z.B. kann sich die Reihenfolge, Sequenz, Umfang, Detaillierungsgrad, Abstraktionsniveau, etc. unterscheiden)

Variants of a communication message can be characterized by:

• - the same or similar information to be transmitted, in particular a factual aspect (e.g. the form, effect and/or reaction to be stimulated or something else may differ);
• - the same or similar effect to be achieved or reaction to be stimulated (e.g. the transmitted information, form, style, channel of perception, etc. may differ);
• - Identical or similar parts (e.g. content and/or sections) (e.g. the order, sequence, scope, level of detail, level of abstraction, etc. may differ)

The variants of a communication message can differ, for example, with regard to (e.g. person-specific, context-specific) details, facts, forms, etc.

Several variants of the communication message can be used for several different second persons (as respective) recipients and/or for one or every second person (as recipient) and/or for output with different second parameters or when different preconditions apply (e.g. with regard to Contexts, people present, states, moods, of people, etc.) are generated. Alternatively or additionally, several variants of the communication message (e.g. as a draft, in particular initially to the one or more first persons) can be generated for selection by one or more first persons. For example, one or more communication messages can be generated which are only output to the respective second person in the event of such second parameters or preconditions in which these (e.g. specifically for the person or group of people) correspond to a specific or specific characteristic (e.g. cognitive, emotional and/or psychological) effect and/or reaction.

Several variants of the communication message can each include (e.g. abstracted) information about their respective effect or reactions stimulated by it, in particular for certain people or certain groups of people. For example, one or more of the first persons (e.g. each) is offered an operating option with which a variant (e.g. one of several drafts) can be selected and/or assigned to one or more second persons. It is not necessary to know all the relevant second parameters (e.g. on the first user device).

• - noch (kurz) bevor diese abgesendet werden müssen;
• - bevor die zumindest eine erste Person einen bewussten Wunsch empfindet diese abzusenden;
• - bevor ein unbewusster Wunsch der ersten Person bewusst wird.

The generation of the communication message can be an adaptation of the communication message (eg compared to a specification or compared to the draft of the one or more first persons). This is to be understood in particular in such a way that one or more parameters of the template or the draft of the one or more first persons are adjusted. In other words, one or more parameters of the communication message can be determined or adjusted by adjusting the one or more parameters of the specification or the draft. In particular, a communication message that already exists as a specification or draft and/or has been initiated (in particular sent) can be adapted. It can be a communication message that has not yet been retrieved or reproduced, or not completely, by the at least one (respective) second person. For example, one or more parameters of a communication message provided (eg as a file or link) by the one or more second persons (but eg not yet or only partially issued) can be determined or adjusted (possibly further or repeatedly). This can be done, for example, if the second parameters (eg relating to context, state of the second person) have changed. For example, the communication message (e.g. previously generated, in particular approved by one or more first persons or meeting the preconditions of one or more first persons) is then or only then output to the one or more second user devices if a predetermined criterion, in particular one with this achievable effect or reaction, is fulfilled. For example, data for generating a communication message (e.g. initiated by one or more first persons) can be determined, for example:

• - (shortly) before they have to be sent;
• - before the at least one first person feels a conscious desire to send them;
• - before an unconscious desire becomes conscious in the first person.

• - eine oder mehrere Varianten der Kommunikationsbotschaft für je eine zweite Person (z.B. pro Empfänger);
• - eine oder mehrere Varianten der Kommunikationsbotschaft für unterschiedliche zweite Personen;
• - (jeweils) eine empfohlene Variante der Kommunikationsbotschaft;
• - vorgefertigte Kommunikationsbotschaft bzw. als Entwurf vorliegende Kommunikationsbotschaften.

For example, data for generating the at least one communication message can be or include:

• - one or more variants of the communication message for a second person each (e.g. per recipient);
• - one or more variants of the communication message for different second persons;
• - (each) a recommended variant of the communication message;
• - ready-made communication message or communication messages available as a draft.

In a further example, one or more parameters of a part (e.g. content and/or section) of the communication message that has not yet been output or is perceived by the respective person and which is or would be sent to a second user device (which is or would be directed or output for a second person, for example ), depending on one or more effects of the communication message (also: same or corresponding variant of the communication message) in another second person and/or reactions to the communication message (also: same or corresponding variant of the communication message) of the other second person determined or adjusted. For example, if it is determined that the effect or reaction of at least part of the communication message does not or does not sufficiently correspond to the specification, goal or target value for one or more second persons, at least part of the communication message can be sent to another user device (for to a other second person), in particular with regard to certain parameters. This can be done almost in real time, interactively, or relate to parts of the communication message that have not yet been output in the case of the second person in question. For example, a further generation, in particular outputting of the communication message to (further, next) second persons, can take place if the goal or target value of the effect or the reaction of the communication message (also: same or different variants of communication message) to second persons who already have them have perceived is sufficiently achieved. Otherwise, (further) generation to (further) second persons can be adjusted or reduced, in particular stopped. The features described above can be implemented in consideration of the specification or depending on the specification.

• - eine Anregung für die eine oder mehrere erste Personen zum Vorgeben zumindest eines Teils der Kommunikationsbotschaft und/oder zum Veranlassen eines (zumindest) teilweise automatischen Erzeugens der Kommunikationsbotschaft; Eine solche Anregung kann an dem einen oder mehreren Anwendergeräten der einen oder mehreren ersten Personen erzeugt werden. Das Verfahren kann umfassen, einen oder mehrere Parameter der Anregung zu bestimmen oder anzupassen. Beispielsweise kann bestimmt oder angepasst werden, wann, mit welchem Inhalt, Motivation, und/oder welche der einen oder mehreren ersten Personen angeregt werden, eine (z.B. eine bestimmte) Kommunikationsbotschaft an die eine oder mehrere zweite Personen vorzugeben (dabei kann zumindest ein Teil der Kommunikationsbotschaft teilweise oder ganz von der einen oder mehreren ersten Personen entworfen werden) und/oder ein zumindest teilweise automatisches Erzeugen der Kommunikationsbotschaft zu veranlassen.
• - ein zumindest teilweise automatisches Erzeugen der Kommunikationsbotschaft oder eines Entwurfs zu der Kommunikationsbotschaft; Dabei kann das Ergebnis des Erzeugens der Kommunikationsbotschaft zuerst an dem einen oder mehreren ersten Anwendergeräten ausgegeben (insbesondere auch zu verstehen: repräsentiert, z.B. in einer weniger detaillierten, abstrahierten Form repräsentiert) werden. Der Entwurf kann abhängig von dem einen oder mehreren bestimmten oder angepassten Parameter erzeugt werden. Dieser kann insbesondere (ebenfalls) als eine zur Ausgabe an dem zweiten Anwendergerät bestimmte Kommunikationsbotschaft verstanden werden.
• - eine Anpassung oder Ergänzung einer oder mehreren Vorgaben einer oder mehreren ersten Personen zu der zumindest einen Kommunikationsbotschaft und/oder eines Entwurfs der Kommunikationsbotschaft von der einen oder mehreren ersten Personen; Dabei kann der Entwurf der Kommunikationsbotschaft oder die (z.B. mehr oder minder unverändert an dem zweiten Anwendergerät auszugebende) Kommunikationsbotschaft zumindest teilweise automatisch erzeugt, wobei eine oder mehrere Vorgaben, z.B. der einen oder mehreren ersten Personen, insbesondere möglichst gut bzw. vollständig, berücksichtigt werden.

The at least one communication message can be generated in such a way that the one or more parameters of the communication message are determined or adjusted. The one or more parameters of the communication message can be characteristic or determining for one or more aspects of the communication message or the generation of the communication message. Generating the communication message can include the following aspects, for example:

• - a suggestion for the one or more first persons to specify at least part of the communication message and/or to cause an (at least) partially automatic generation of the communication message; Such a stimulus may be generated at the one or more user devices of the one or more first persons. The method may include determining or adjusting one or more parameters of the excitation. For example, it can be determined or adjusted when, with what content, motivation, and/or which of the one or more first persons are encouraged to specify a (e.g. a specific) communication message to the one or more second persons (at least part of the Communication message are designed partially or entirely by the one or more first persons) and / or to cause at least partially automatic generation of the communication message.
• - an at least partially automatic generation of the communication message or a draft of the communication message; In this case, the result of the generation of the communication message can first be output on the one or more first user devices (also to be understood in particular: represented, for example represented in a less detailed, abstract form). The design can be generated depending on the one or more determined or adjusted parameters. This can in particular (likewise) be understood as a communication message intended for output on the second user device.
• - an adaptation or addition of one or more specifications of one or more first persons to the at least one communication message and/or a draft of the communication message from the one or more first persons; The draft of the communication message or the communication message (e.g. to be output more or less unchanged on the second user device) can be generated at least partially automatically, with one or more specifications, e.g. the one or more first persons, being taken into account as well or completely as possible.

A specification of the one or more first persons can include or be one or more circumstances from the following list: information characterizing the content, topic, purpose of the communication, goal of the communication, a suggestion to be conveyed, an emotion, and/or a desired effect the communication message or reaction of the at least one second person.

The at least one specification can form only a very small part (e.g. less than 50, 25, 10, 5, 2, 1%) of the information content of a communication message to be generated (to be adapted or supplemented) depending on the specification. The at least one specification can, for example, include or be a simplified or abstracted input or selection.

For example, the specification can include or be: “Create a specific emotion or emotional change corresponding to a specific criterion in one or more (e.g. specific or as many as possible) second persons” or “as many second persons as possible for a specific person or a specific person Bring a decision or action corresponding to the criterion" or "if possible achieve a first effect or reaction according to a selectable value (e.g. 1-5) and/or a second effect or reaction according to a selectable value (e.g. 1-5)".

The specification can be entered by one or more first persons in any way (e.g. as voice input, graphics, touchscreen, etc.). As an alternative or in addition, the specification can be determined as a function of the first parameters. The specification of the one or more first persons can include an instruction (e.g. in a third person) or an expression of will (e.g. in an abstract form).

One or more (e.g. each individual or individually adapted) support of the communication or generation or adaptation of at least one communication message or variants of communication messages can then be carried out. The communication messages can be generated in such a way that (e.g. as quickly as possible, safely, to the greatest possible extent, as efficiently as possible) the specified effect is achieved (with the one or more second persons) or to stimulate a reaction.

In particular, the one or more parameters (to be determined or adjusted) of the communication message described in this document are determinative for the execution of the above-mentioned aspects.

It can be (e.g. as part of the specification of the one or more first persons) a target or target value for an effect to be striven for, in particular to be achieved, and/or reaction to be stimulated, in particular with regard to certain (e.g. individual or belonging to an interaction) Sections of communication, communication messages, persons and/or communication groups are specified. The goal or target value can in each case be a local (eg relating to specific people or surroundings) and/or global (eg superordinate to specific people, emergent or relating to an emergent effect) goal or target value. The goal, target value or specification of goal or target value for an effect to be achieved and/or reaction to be stimulated can be at least partially, predominantly, or completely independent of other specifications, of the information to be transmitted, of the factual aspect, etc.

In particular, the effect (e.g. parameters of the effect) of the communication or communication message on the second person can differ from the reaction (e.g. parameters of the reaction) of the second person to the communication message. For example, the effect may relate to a state, conditioning, and/or priming of the second person. For example, the state may refer to a second person's (e.g. internal) cognitive, emotional, psychological state. For example, the conditioning may include or be second person cognitive, emotional, psychological conditioning. For example, the effect of the second person (e.g. in the cases described above or in other cases) can be an effect that at least initially remains without a reaction or without a specific or immediately following reaction and/or the corresponding reaction only develops (at least potentially) later (e.g. after a certain time has elapsed, after another communication message or only after the second person has noticed further information). For example, the effect can be a conditioning and/or priming that is only expressed at a later time interval and/or when a certain condition applies (e.g. the second person gives out or perceives further information). For example, the effect of the communication message can also be characterized by a feature or pattern of a brain activity of the person or a change in brain activity or a brain activity of the at least one person characterized by certain features (e.g. parameters).

In particular, the reaction (of the at least one) person (in particular in contrast to the effect) can include or be an externally expressed change, a physical emotion, gesture, facial expression, microexpression, an action or the absence of an action. In the context of the present document, effects or reactions are to be understood in particular as effects or reactions which are related to complex cognitive, emotional and/or psychological processes or include such processes.

Supporting the communication or determining or adjusting the parameters of the communication message can be done in such a way that several effects of the communication message (e.g. on several different people or people belonging to different groups of people) and / or reactions to the communication message (e.g. from several different people or people belonging to different groups of people), an effect or reaction, in particular a consequence, in particular overall and/or related to a number of people (e.g. a communication group).

The output of the communication message on the second user device is to be understood in particular as the output to the at least one second person (associated with the user device or user account). The generation of the communication message (e.g. at least partially on one or more first user devices or depending on specifications on one or more first user devices) or the output of the communication message on one or more second user devices can cause an output and/or the sending of the communication message or information for outputting the communication message to the second user device. Furthermore, the generation of the communication message can include or be an authorization or activation for the output of the communication message on the at least one second user device.

The communication message for output on the second user device is in particular a communication message intended, in particular only, for the at least one second person (or several specific second persons). The one or more second persons are to be understood in particular as the addressee (also: recipient) of the communication message. The one or more first person is to be understood in particular as the initiator, person responsible, originator, avatar (e.g. someone in whose name communication is being made) and/or sender of the communication message. In particular the communication message has a reference (eg specific or perceptible to the respective second person) to one or more of the first persons, eg a certain number of first persons.

The at least one second person can be a communication partner of the one or more first persons. For example, the at least one second person and the one or more first persons are in a (e.g. recurring, frequent, regular) communication relationship and/or have a specific (unilateral, bilateral or multilateral) communication status. The communication status can be a status, e.g., as friend, acquaintance, subscriber to a group of a channel, e.g., in a social network or service. For example, the communication message can at least partially refer to a previous communication, e.g. a communication from the at least one second person to the at least one or more first persons or from one person from a number of the second persons and a number of the first persons. In particular, the communication message can be or include a response or comment to a previous communication, to a specific communication message from the second person.

The method can include recognizing an expression of will by the one or more first persons and/or a criterion for providing the data on the basis of the one or more first parameters. Alternatively or additionally, the method can include recognizing an expression of will by the one or more second persons and/or a criterion for providing the data on the basis of the one or more second parameters. For example, the method includes recognizing a unilateral, bilateral or mutual and/or multilateral expression of will by the one or more first persons and the one or more second persons for the (e.g. bilateral or multilateral) provision of the data on the basis of the one or more first parameters and /or data based on the one or more second parameters. For example, the expression of will or the criterion relates to determining the training data for training the at least one neural network and/or data for operating the method on the basis of the respective (first and/or second) parameters. The method can, so to speak, include on the basis of an agreement between the participating persons on the use or exchange of their own (first or second) data. Furthermore, the expression of will can relate to the use of the data dependent on the parameters, e.g. for training the at least one neural network.

For example, one or more first persons and/or one or more second persons can permit, restrict access to the data relating to them and corresponding to them, e.g. parameters, training data and/or data of the neural network trained at least partially with the data of the person e.g. in at least two stages and/or according to specific or selectable criteria) and/or reject. At least partial approval of the use of said data can, for example, be a prerequisite or advantage when using one or more functionalities, the method or the training, in particular the person-specific, situation-specific and/or context-specific training of the neural network.

Within the scope of the same communication, in particular predominantly conducted in real time, and/or based on the same specifications of the one or more first persons, different communication messages can be generated, at least with regard to a part and/or parameter. For example, if the communication of first persons belonging to a first family is supported by second persons belonging to a second family, the communication messages generated for children can at least partially have a different content and/or parameters (e.g. intonation, style, voice, level of detail, wording, etc . include).

The at least one communication message concerns or forms the communication between one or more first persons and the one or more second persons. This differs (eg partially, predominantly or completely) from the first communication and/or from the second communication or does not belong to the first communication and/or the second communication. The difference between the communications can relate to the persons involved, roles (e.g. as the sender(s) and/or the recipient(s), the respective content and/or parameters of the communication messages, etc. For example, all or most of the communication messages (generated or adapted in the method) differ from the first communication and/or from the second communication. In the example described above, the at least one communication message would be part of the communication between parents and children. The at least one communication message can, for example, be addressed to one or more children (from one or both parents) or vice versa. The communica tion from one or more first persons to one or more second persons can include or be one or more of the communication messages (eg a sequence or exchange of communication messages). This communication is described in the present document without the predicate as the first, second or third communication.

One or more parameters of a communication message can be determined or adjusted by or on behalf of the same first person, or by another first person or by a third person (e.g. a previously uninvolved person). For example, the communication message to be output on a second user device can be a communication message from the (same) first person, from another first person, and/or from a third (e.g. independent or previously not involved) person.

Although the at least one communication message can be intended or suitable for output on the respective second user device, it does not (e.g. in contrast to conventional telecommunications) have to be output on the second user device, or not automatically or not initially. For example, the at least one communication message (e.g. as a potential media output for one or more second persons or user devices), in particular a draft of the communication message, (e.g. new from time interval to time interval) can be generated or adapted. This can only or initially only be accessible (can be called up or output by them) by one or more first persons.

For example, the one or more parameters of the communication message can be updated (e.g. several times) depending on the first parameter and/or second parameter (e.g. when the current or predicted first parameter or second parameter changes). For example, the one or more first persons (e.g. after observing the determination or adjustment of the parameters of the communication message or the current draft) can decide when or if which precondition applies (e.g. with or without manual adjustment) to the one or more second user devices is to be issued. For example, one or more first persons (e.g. each) can decide on this. For example, the communication message or respective variant of the communication message is output on the one or more second user devices depending on several respective ones of several preconditions from several first persons. For example, several of the preconditions are handled according to predetermined logic. For example, the output can only take place when all, a certain proportion of one, logical combination of preconditions (e.g. from several first persons) is fulfilled.

The at least one communication message may comprise or be a portion of a message in a network (e.g. a social network, communication network), from an audio call, video call and/or teleconference. In a further example, one or more second persons can be so-called followers, subscribers or friends (friends) of the one or more first persons. The at least one communication message can be a verbal message, in particular a text message, voice message, video message, tactile (e.g. tactile or haptically perceptible) message, scented message, or a media output. This can include, for example, images (determined, adapted, in particular generated in the process), image sequences, symbols, animations, smileys, artificially generated or controlled body language, e.g. facial expressions, scents, tastes, etc. In a general case of the invention, the communication message can be any media output or can be generated and/or output in the form of any media output. For example, the communication message can be or include a communication message that can be output medially, e.g. audibly and/or visually (or multimedia). For example, one or more parameters of at least one communication message can be characteristic of a (e.g. respectively addressed) perception channel, shape, formulation, graphics, voice, sound, tone, physical emotion, body language, tactile stimuli and/or olfactory or gustatory stimuli (e.g. smell, combination of smells, change in smell or smell, combination of smells, change in smell, taste, combination of tastes or change in taste).

Alternatively or additionally, the communication message can be a message intended for the at least one second person or output on the second user device (in particular also to be understood: receivable with the second user device), e.g. an e-mail, SMS, MMS, chat, a post comment or a message in a social network, in a portal, etc. Exceptionally, the one or more first persons may be the operator(s) of a channel, broadcaster or streaming platform.

The communication message can include information that is to be output (in particular also to be understood as: generating , to be transmitted or provided). The communication message can be identified for the one or more second persons as coming from or caused by the one or more (specific) first persons. Such a communication message to the at least one second person can preferably be generated by or on behalf of the one or more first persons and/or from the one or more second persons to the at least one first person. The one or more parameters of the communication message can be determined or adjusted depending on the parameters of a previous communication message, in particular one that was addressed to the one or more first persons. The at least one communication message can (but does not have to) be an answer or comment to a previous communication message (eg from one or the second person to one or the first person).

A further communication message, e.g. as an answer or comment, can also be generated for a communication message generated in the method or the person who or on whose behalf this is answered can also be supported. The parameters (e.g. parameters of the sender, e.g. of a second person) determined when generating the previous communication message (e.g. to be answered or commented on) can in turn be taken into account. For example, the communication message can be a communication message that is generated or sent by, through or on behalf of a certain number of people, e.g. a group in a social network in the process. The communication message can be part of a monodirectional or multidirectional or bilateral or multilateral communication.

The method can include merging, combining and/or integrating multiple communication messages from different first persons (also to be understood in particular: according to the multiple specifications of multiple first persons). For example, a communication message can be generated comprising a merging, combination and/or integration based on the specifications, drafts or (e.g. completely or predominantly ready-to-use) communication messages of several first persons. For example, communication messages can be brought together, combined and/or integrated according to a certain criterion (e.g. if they are inspired by the same event, concern the same topic and/or were dictated or prompted by a number of the first persons). These can be brought together, combined and/or integrated into a communication message (e.g. to be transmitted or output). This can take place depending on the one or more second parameters relating to the (respective) second person and/or depending on a specific dependency (e.g. setting, user setting), which can be determined in particular by the respective second person. For example, essentially the same content, sections of text can be combined, in particular in a newly formulated form, and/or differences can be highlighted. For example, a communication message (e.g. as a voice message, visualization and/or staging) can be generated which includes a summary or the result of the bringing together, combination and/or integration of several communication messages (e.g. specified or initiated as text). The respective result of a particularly person-specific and/or case-specific merging, combination and/or integration can be generated for the one or more (respective) second person.

Alternatively or additionally, the at least one communication message can be generated on behalf of a third party. In the context of this document, the third party is understood to mean, in particular, a real person or avatar that differs from one or more of the first persons and/or from at least one second person and/or from real persons.

The third party can be a real or virtual mediator, moderator, commentator, observer or mediator and/or have a corresponding function or goal. In particular, the third party can correspond to an avatar described in this document or have an avatar or a virtual personality according to any selection of the characteristics described in this document. For example, the at least one communication message (e.g. linguistic, grammatical) can be generated in a third person, e.g. from the point of view of one of the one or more first persons and/or a third party who differs from the one or more second persons.

In particular, at least one physical emotion, body language, voice, communication parameter, which is characteristic in particular of the one or more first persons, can be used, in particular by means of a personality model or avatar generated, in particular imitated. Furthermore, a communication message generated depending on the first parameters of several first persons, in particular a specific group of persons, can be in the name, in particular marked as in the name (in particular also to be understood as: with an identifier, feature, avatar) of the one or more first persons be issued.

In the method, at least one personality model or avatar can be operated on the at least one first or second user device. Alternatively, the at least one (first or second) user device can include or be a personality model or avatar. The at least one communication message can be or be understood as an output of the personality model or avatar.

The operation of a personality model or avatar (on a user device) can include or be the generation of the communication message on the user device (for the user of the user device or for the respective communication partner. In particular, it is to be understood that an avatar as on or in appears or is made perceptible and, in particular, recognizable as such in the environment of the user device.The at least one personality model or avatar can appear as a specific first person or as a person belonging to a specific group of people or as a being separate from specific people A (first and/or second) avatar preferably includes a (visible, audible, tactile, olfactory, etc.) identifying feature on which this as such one or more specific persons and/or their role in the communication In particular, the at least one avatar is characterized by at least two identification features, which can be perceived in particular simultaneously or simultaneously and which can be recognized by different human senses or which increase the recognisability of the avatar.

• - Als ein (z.B. erstes) unterstützendes Persönlichkeitsmodell bzw. Avatar gegenüber der einen oder mehreren ersten Personen beim Erzeugen der Kommunikationsbotschaft;
• - Stellvertretend für die eine oder mehrere erste Personen (z.B. als ein Vertreter bzw. Vermittler) von bzw. im Namen der einen oder mehrerer ersten Personen gegenüber der zumindest einer zweiten Person;
• - Stellvertretend für die eine oder mehrere zweite Personen gegenüber der einen oder mehreren ersten Personen; Dabei kann mittels des Persönlichkeitsmodell bzw. Avatars eine von der Kommunikationsbotschaft bei einer oder mehreren zweiten Personen angeregte Wirkung dargestellt bzw. simuliert werden; Dabei können die eine oder mehrere erste Personen eine (z.B. zumindest teilweise automatisch erzeugte bzw. als Entwurf vorliegende), noch nicht übermittelte bzw. ausgegebene Kommunikationsbotschaft bzw. ihre Wirkung aus eine oder mehrere zweite Personen, insbesondere eine oder mehrere bestimmte zweite Personen oder zweite Personen zugehörig zu einer Personengruppe testen bzw. ausprobieren.
• - Stellvertretend für einen Dritten (als ein separates Wesen). Insbesondere kann der Dritte (tatsächlich oder scheinbar) abhängig oder unabhängig von der einen oder mehreren ersten Personen und/oder einer oder mehreren zweiten Person sein; Insbesondere kann der Dritter ein vorgebbares bzw. im Verfahren ermitteltes Ziel verfolgen;

The at least one personality model or avatar can be designed to perform or perform one or more of the roles described below. In particular, this can function:

• - As a (eg first) supporting personality model or avatar towards the one or more first persons when generating the communication message;
• - acting on behalf of the one or more first persons (e.g. as a representative or agent) by or on behalf of the one or more first persons towards the at least one second person;
• - On behalf of the one or more second persons to the one or more first persons; In this case, by means of the personality model or avatar, an effect stimulated by the communication message in one or more second persons can be represented or simulated; The one or more first persons can include a communication message that has not yet been transmitted or output (eg at least partially automatically generated or available as a draft) or its effect from one or more second persons, in particular one or more specific second persons or second persons test or try out belonging to a group of people.
• - Representing a third party (as a separate entity). In particular, the third party may be (actually or apparently) dependent or independent of the one or more first persons and/or one or more second persons; In particular, the third party can pursue a target that can be specified or determined in the process;

Alternatively or additionally, the at least one avatar can be a supporter of the one or more first persons, a predictor of the effect on the one or more second persons or reaction of the one or more second persons to the at least one communication message, a generator, in particular of variants of the Communication message, an adaptor of the parameters of the communication message (e.g. for different second persons or second parameters) or be used accordingly. For example, the at least one communication message can be generated by the corresponding first avatar or by the second avatar on behalf of or in the name of one or more first persons. Several personality models or avatars can be operated, in particular used, in the method.

An avatar can preferably perform at least two (e.g. interchangeable) roles in relation to the communication (e.g. in different phases of the process or the communication).

The one or more avatars can be designed (in particular also designed to be understood) in such a way that the communication message is perceptible as generated by the avatar (e.g. said, shown, etc.), and/or the communication message is generated in such a way that it is is perceived as coming from the personality model or avatar. For example, the communication message includes both speech generation and body language that accompanies and/or corresponds to this and is suitable for this.

For example, the at least one avatar can represent one or more first persons (e.g. to one or more second persons), in particular (e.g. with regard to communication or an action). The at least one avatar can represent one or more first persons (e.g. to one or more second persons) in a virtual space. It can be a virtual space that is accessible to one or more first personality models or avatars and/or one or more second personality models or avatars (also to be understood in particular: perceptible with one or more senses or perception channels) and/or that can be influenced. Alternatively or additionally, a (e.g. first) person can be represented by several, identical or different, e.g. differently configured, controlled and/or provided with different characteristics or roles, personality models or avatars. For example, one or more second persons (e.g. compared to one or more first persons), e.g. in the same virtual space or in different virtual spaces, can (each) be represented by one or more personality models or avatars.

The communication message can be output together with or assigned to an identifier, in particular a characteristic, symbol (e.g. a photo, avatar, profile, for example in a social network) identifying one or more of the first persons, in particular the group of first persons take place. For example, the communication message is output on the second user device in an assignment (e.g. visual, color, symbolic, acoustic, etc.) to the one or more first persons. In this case, the communication message (for one or more of the second persons) can be identified as coming from, sent by, or generated on behalf of the one or more first persons. Alternatively or additionally, an identifier can refer to one or more first persons or a characteristic of one or more persons (e.g. age group, profession, membership of a group of persons), in particular without specifically naming or identifying the persons.

For example, the communication message is generated on the basis of a specification, in particular a selection or configuration and/or a draft, which is generated by one or more first persons. Such a specification by the one or more first persons includes or is one or more circumstances from the following list: content, topic, purpose of the communication, goal of the communication, a suggestion to be conveyed, emotion and/or desired reaction of the at least one second person. The communication message can then be generated depending on the (first and/or second) parameters determined in the method, and in particular can be output on the second user device. For example, at least one of the parameters of the communication message (not determined or hard defined by the one or more first persons) can be supplemented (so to speak by determining or adjusting the corresponding parameters of the communication message).

The generation of the communication message, in particular the determination or adjustment of the parameters of the communication message in the method, can relate in particular (only) to a draft of the at least one communication message or a variant or version of the communication message that is decisive for an output on the second user device. In other words, the communication message can be generated in a draft version (initially for the one or more first persons) or in a version more or less intended for output on the second user device in a corresponding more or less unchanged form.

For example, a draft of the communication message that can be changed (e.g. by the one or more first persons) before it is output to the second user device can be generated as a function of the specific or adapted parameters. This can first be output on the one or more first user devices. Such a draft (e.g. if it is suitable or if a first person agrees) can also be used within the scope of the present document to create a communication message for output on the second user device or for at least one second person (e.g. after a check, correction or Confirmation by the one or more first persons) are counted.

At least a part or parameters of the communication message (or one or more parameters that determine part of the communication message) can be determined based on the inputs of the one or more first persons and/or based on the data of the one or more first persons . One or more other parts or parameters of the communication message (or one or more parameters that are determining for the other part of the communication message) can be determined or adjusted according to one or more features described in this document. The at least one communication message can be generated in the method partially automatically and/or partially manually or by one or more first persons (eg consciously, specifically, intentionally). This is particularly advantageous because the one or more first persons can retain or delegate personal influence or control (possibly selectable at will) over the resulting communication message.

In the context of this document, the term "communication partner" means in particular another person who receives or is to receive the communication message. It can be a new communication partner, or a communication partner with whom communication has already been or is being conducted. The communication partner can be a person from a list, group (e.g. in a social network, e.g. one of the selected persons (e.g. a friend, partner) and/or (e.g. by the respective first person) selectable (second) person.

The method preferably includes support for a pre-selection and/or exclusion of communication partners, in particular for or in relation to specific communication messages. The pre-selection and/or exclusion can in particular also be understood as a recommendation or suggestion to select, not to select (e.g. as a negative recommendation) or to deselect a (second) person, in particular a specific second person or a person from a specific group of people. Selecting, not selecting (e.g. as a negative recommendation) or deselecting can in particular be based on at least one specific communication message or specific variant of a communication message.

For example, communication partners can be pre-selected and/or excluded, in particular for or in relation to certain communication messages, depending on the first parameters and/or second parameters described in this document. For example, the method can include a selection, in particular a preselection, of a communication partner, in particular a specific person or a group of people, as an addressee of a communication message, in particular a specific or generated communication message. The selection of one or more communication partners can be determined or adjusted together with a parameter of the communication message or as a parameter of the communication message. The pre-selection and/or exclusion of communication partners can relate to a specific communication, specific communication message or specific requirement of one or more first persons. A pre-selection and/or exclusion of the communication partners can be proposed case-specifically or depending on a specific specification, one or more second parameters (for the corresponding potential recipients) of the communication message.

For example, it can be determined (depending on one or more second parameters) that a specific second person or second person belonging to a specific group of people (e.g. with a comparably high probability) would show an effect or reaction corresponding to the goal or target value, this can (e.g. priority) to be included in the pre-selection. For example, it can be determined that a specific second person or second person belonging to a specific group of people (e.g. with a comparably high probability) would show an effect or reaction corresponding to the target or target value (e.g. generally undesirable or from one or more first persons) effect or reaction or if there is an increased risk of a misunderstanding, for example, this can be excluded (e.g. from the pre-selection).

If, for example, it is determined that one or more second persons (e.g. as potential communication partners) would fundamentally and/or currently (e.g. due to their current mood or past experiences, etc.) react to a parameter of the communication message very differently from the target value ( e.g. do not understand a joke on a certain topic or would react exaggeratedly), one or more persons can be excluded from the list of communication partners, in particular only or primarily for certain communication messages and/or a parameter of the communication message (e.g. only or primarily for the one or more people) can be adjusted.

The first communications made or perceived by one or more first persons (one or more) may be one or more portions of information received by the respective first person (eg, through the same user device or directly, without technical means). For example, one or more conducted first communications can be part of a message (eg to be answered and/or answered by the first person) from a communication partner, eg another first person. The same features can each be inherent in the second communication.

When determining or adjusting the one or more parameters of the communication message (to be output on the second user device or intended for the at least one second person) one or more first parameters of the one or more first communications from the first person to others (from the second person deviating) communication partners and/or one or more second parameters of the one or more second communications of the second person to other communication partners (deviating from the one or more first persons) are taken into account.

For example, the one or more parameters of the communication message (from or on behalf of the one or more first persons to the at least one second person) can depend on one or more parameters of the communication messages that have been conducted with other communication partners. For example, first or second communications can be taken into account that have been received by the one or more first persons from one or more communication partners and/or have been communicated to one or more communication partners. Parameters of the first and/or second communications that are characteristic of their respective success and/or the effect or reaction achieved can be used. The parameters can be taken into account according to the (correspondingly selected, controlled or trained) mathematical relationship. In particular, an increase in the success of the communication message or a target value with regard to the effect of the communication message and/or reaction to it can be selected as the optimization criterion (in particular also to be understood as an optimization function or learning function). For example, the one or more parameters of the communication message are determined or adjusted in such a way that an effect and/or reaction that can be specified or specified by the one or more first persons is achieved by the at least one second person (in an improved manner or as well as possible). becomes.

For example, the one or more parameters of the communication message to a second person, in particular to a specific second person or a second person belonging to a specific group of people, can be determined or adjusted depending on one or more of the one or more first people, in particular manually or Communication messages intended by the respective first person (e.g. through an explicit or implicit expression of will) to one or more other persons, e.g. other first persons, in particular to other specific persons or persons belonging to specific groups of persons.

For example, a communication message can be generated, in particular output, on a second user device depending on the first parameters and/or second parameters described in this document. The one or more parameters of the communication message can be determined or adjusted (according to the at least one predetermined dependency, in particular the mathematical relationship or depending on the neural network) depending on the second parameters described in this document, which are particularly relevant for the environment of the second user device (In particular, also to be understood for the second person) are characteristic, take place.

For example, one or more parameters that are characteristic of one or more properties, emotion, mood, state, parameters and/or state of a personality model of the second person can be taken into account when supporting the communication or generating the communication message to the second person. This can be done in such a way that an optimization criterion that can be selected (possibly for the one or more first persons and/or the at least one second person) is changed towards a target value. For example, a communication message can be generated or adapted depending on a current, expected state or property of the addressee or the (at least potential) recipient of the communication message. In particular, the one or more parameters of a communication message can be determined or adjusted depending on a second parameter of the second person.

For example, a communication message is generated (or the parameters of the communication message are determined or adjusted) as a function of second parameters determined, in particular predicted, in the method. This can, for example, for a (second) reaction of at least one second person be distinctive. This can be a second reaction, which relates to a (second, in particular dependent or independent of any communication with the one or more first person) communication and/or a reaction of the at least one second person to a (second, in particular of the possible first multimedia content which the one or more first persons perceive (dependent or independent) multimedia content.

• - an einem oder mehreren ersten Anwendergeräten (z.B. für die eine oder mehrere erste Personen) wird eine Ausgabe erzeugt umfassend eine Anregung zum Veranlassen einer Kommunikationsbotschaft, insbesondere mit einem im Verfahren bestimmten oder angepassten Parameter, an eine zweite Person. Die Anregung kann sich auf eine Kommunikationsbotschaft an eine bestimmte zweite Person bzw. eine zweite Person zugehörig zu einer bestimmten Personengruppe, und/oder eine im Verfahren ermittelte (empfohlene) zweite Person beziehen. Mit anderen Worten kann für die eine oder mehrere erste Personen eine Anregung zum Vorgeben bzw. Veranlassen einer Kommunikationsbotschaft an eine zweite Person ausgegeben werden, insbesondere eine Kommunikationsbotschaft mit einem im Verfahren bestimmten oder angepassten Parameter zu veranlassen und/oder gemäß dem bestimmten oder angepasstem Parameter zu verändern oder verändern zu lassen.
• - abhängig oder auf Basis einer Vorgabe der einen oder mehrerer ersten Personen (z.B. zum Inhalt, Thema, Zweck oder Ziel der Kommunikation, eine bei der zweiten Person anzuregende Wirkung bzw. Reaktion) und abhängig von den im Verfahren ermittelten (z.B. ersten und/oder zweiten) Parametern eine Kommunikationsbotschaft zu erzeugen, insbesondere zu verändern.

For example, one or more of the following effects can result in the process or the process can be geared towards the following features:

• - An output is generated on one or more first user devices (eg for the one or more first persons) comprising a suggestion to initiate a communication message, in particular with a parameter determined or adapted in the method, to a second person. The suggestion can relate to a communication message to a specific second person or a second person belonging to a specific group of people and/or to a (recommended) second person determined in the process. In other words, a suggestion to specify or cause a communication message to be sent to a second person can be output for the one or more first persons, in particular to cause a communication message with a parameter determined or adapted in the method and/or according to the determined or adapted parameter to change or to be changed.
• - depending on or based on a specification by one or more first persons (e.g. on the content, topic, purpose or goal of the communication, an effect or reaction to be stimulated in the second person) and dependent on the ones determined in the process (e.g. first and/or second) parameters to generate a communication message, in particular to change it.

For example, if it is determined or predicted (e.g. by means of the user device of the second person) that the second person (e.g. due to another communication conducted by the second person, a reaction to a section of another communication or media content) sends a communication message with the needs parameters and/or will react to such, in particular in a certain way or with a certain parameter.

For example, a first or more people are directly or indirectly encouraged (by means of their first user devices) to create a communication message with a specific content, stylistic, emotional parameter (e.g. a comforting, encouraging message) to the at least one (specific) second person and/or cause a communication message generated accordingly (e.g. as a draft) in the method to be output on the second user device of the at least second person with or without a change.

Anonymized and/or implicit processing of the first parameters and/or the second parameters particularly preferably takes place in the method. The reasons for (specific or adapted) parameters of the communication message or for the adaptation of the communication message therefore do not have to be explicitly expressed or transmitted.

The at least one personality model or avatar can be designed for the respective user, e.g. for one or more first persons (e.g. as or in the form of a first being, which can have (identifying) characteristics of the corresponding person) or for one or several second persons (e.g. as or in the form of a second being, which can have (recognition) features of the corresponding person) to appear (in particular also to be understood: to be made perceptible) or one or more steps of the method or functionalities to carry out, e.g. to carry out or support the generation or adaptation of the communication message, to predict a reaction of the communication partner, to generate or to adapt the communication message.

For example, the first personality model or avatar can imitate the one or more second persons towards the one or more first persons, e.g. the reaction of the one or more second persons to the (e.g. not yet sent or issued) communication message (in particular also to understand: point to a draft, a section, a variant of the communication message) (also to understand in particular: simulate, replicate). For example, the first personality model or avatar can be associated with or represent the one or more second persons in the perception of the one or more first persons. For example, the bodily impulses of the personality model or avatar become dependent on one or more rerer physical movements of the respective second persons trained and / or operated. For example, the bodily impulses are trained depending on the reactions of the one or more second persons perceived (eg similar or different sections) in the past (eg from the one or more second communications). Alternatively or additionally, a physical agitation of the first personality model or avatar can be generated depending on the current or predicted second parameters.

For example, the (second) personality model or avatar can show the one or more second persons the producer, bearer, representative of the communication message and/or the one or more first persons (also to be understood in particular: simulate, replicate). For example, the second personality model or avatar can be associated with or represent the one or more first persons in the perception of the second person. The first and/or second personality models or avatars, in particular the artificial intelligence or neural networks on which they are based, can be trained and/or operated depending on the respective first parameters and/or second parameters.

For example, the interpersonal communication can be construed as a communication of one or more avatars (e.g., the one or more first persons) and one or more real (e.g., one or more second) persons. For example, the interpersonal communication can be conducted (also to be understood as taking place or taking place) in an at least partially real space and/or in an at least partially virtual space (in particular also to be understood as “virtual space”). Such an at least partially real and/or at least partially virtual space can include at least partially real and/or at least partially virtual objects. Exceptionally, one or more first persons can be one or more avatars operated with technical means, virtual personalities (e.g. bots).

The method can relieve the one or more first persons and/or one or more second persons, enrich their communication or relationship and possibly offer entertainment value. In addition, a certain emotional value or an emotional connection between the person and the avatars can be created. Due to the characteristics of human perception, the communication message or action, interaction using the avatars can have a strong effect, e.g. have a stronger effect on the person than information retrieved from the (second) person or sent to the person.

For example, actions, interactions or communication messages of the avatar based on an existing or established emotional bond with the (specific, second) person or one or more first persons can indicate a (specific, high) affiliation to one or specific groups of people or .The same or similar affiliation to oneself or to the same groups of persons as one or more of the first persons. The personality model or avatar can therefore be made perceptible to the (first or second) person as an independent being on the one hand, and on the other hand this person can be made dependent on the specification of the one or more real first persons and/or on the one or more first parameters and /or one or more second parameters can be operated or generate communication messages. This can be done without revealing the relevant contexts, knowledge bases, situations in the surroundings of the respective user devices or within different living spaces (e.g. the distant communication partner).

Operating the avatar, supporting the communication and/or generating, in particular outputting, the at least one communication message on the second user device can be carried out using means of the second user device or initiated by the second user device, in particular using means of a device that is directly or indirectly networked with the second user device , e.g. in the vicinity of the user device. For example, the output can take place using means of an (output) device that can be operated in the vicinity of the second user device, in particular in the same living space. For example, the generation of the communication message on the second user device can mean that it is output (e.g. in sound waves, images , video sequences, into a form that people can hear and/or visually perceive and/or interpret).

In the method, the first parameters and/or the second parameters are preferably processed, in particular anonymously, in particular a comparison of the data dependent on the first parameters and on the second parameters. This can be done without explicit information about the first or second parameters being exchanged, without being unilaterally or mutually visible. For example, a first person can, but does not have to be informed explicitly or implicitly that a second person needs a specific communication message, would like it or would react to it in a specific way. The first parameters and/or the second parameters are particularly preferably processed at least partially by a computing unit arranged at a distance and/or by means of the at least one neural network. For example, the parameters of the communication message can be determined or adjusted using the at least one neural network, the neural network having (several) first parameters, in particular several sets of the first parameters and/or (several) second parameters, in particular several sets of the second parameters is trained.

The corresponding reasons (e.g. for setting or preferring certain parameters) do not have to be derived, transmitted and/or announced in the process, or at least not explicitly. In addition, a wide variety of combinations of the first parameters of one or more first persons and the second parameters of the at least one second person can be processed in the method and as a result at least one communication message (with the specific or adapted parameters and/or with a specific effect on the second person) are generated from which the respective first or second parameter cannot be derived or traced back, or it is difficult to do so.

Processing (e.g. imperceptible to the first or second person or not requiring any special action) can be carried out, in particular the reconciliation of the respective processed data on the basis of the first parameters and/or second parameters (e.g. before the start of communication or before entering the default) are executed. For example, the parameters characterizing the respective emotions, intentions and/or states, state changes or state transitions are processed according to their respective personality models of the persons. This data can be processed together or with each other in various combinations. However, this does not have to be transmitted in an explicit form or displayed to the respective communication partner. For example, personal facts or circumstances (which, for example, have led to a certain predicted effect or reaction ) are not issued.

For example (or also because of this), the at least one communication message can be generated or the one or more parameters of the communication message can be determined or adapted using a specific dependency, in particular one that is learned or trained in a non-rule-based manner, or using the trained neural network. This can take into account a large number of the first and/or second parameters, in particular without explicitly determining or disclosing the values or specific dependencies.

As a result, the process can be carried out in such a way that the personal rights of the participating persons or their feelings (at least as a result of the process) can remain secret to a large extent or can be effectively protected. For example, particularly confidential and non-protective personal information or feelings of real people do not have to be explicitly determined, transmitted or disclosed (e.g. to the communication partner or a third party) due to features of the process.

The communication message generated can be a (new) message or an answer from one or more first persons to the second person as the communication partner, and/or to one or more second persons as new communication partners, e.g. to known or not yet known, in particular proposed be a communication partner. Exceptionally, the first communication can also be a communication, in particular previous or in the past, from or the second person to the one or more first persons, and/or a communication from the one or more first persons to the at least one second person or include.

For example, one or more reactions of the user can be recognized by means of the user device, in particular by means of a sensor, eg a camera and/or computing unit of the user device, and taken into account when executing one or more further steps of the method. In particular, several different reactions of the user to different parts (sections and/or content), parameters of the communication and/or the media content can be determined and taken into account, for example in a differentiated manner. For example, it can be taken into account on which parts (Sections and/or content), parameters of the communication or the media content relate to the respective first parameters.

Furthermore, the method can also at least partially automatically (with or without a further predetermined condition) and/or at least partially dependent on a further condition, in particular operator action, transmit (also: send, reply, forward or post) the communication message include at least one communication partner. The further condition can be a condition relating to the one or more first persons, one or more first parameters and/or to the at least one second person, one or more second parameters. In particular, outputting the at least one communication message on the second user device includes transmitting, reading in posted information specific (for the second user device or for the at least one second person) for outputting the at least one communication message.

In particular, the one or more parameters of the at least one communication message can be determined or adjusted while one of the stated aspects of the method is being carried out. For example, the second parameters can be taken into account while the communication message is being drafted, e.g. on one or more first user devices (or perceptibly on the one or more first user devices).

For example, supporting the communication or determining or adjusting the one or more parameters of the at least one communication message can at least partially or almost simultaneously or simultaneously take into account a determined change in one or more of the second parameters.

In other words, a second parameter can determine or adapt the one or more parameters of the at least one communication message, in particular on the first user device, at least partially or almost simultaneously or simultaneously to a determined change in one or more of the second parameters (e.g. as a parameter of a Addressees of the communication message) react.

For example, (explicit or implicit) information determined as a function of the one or more second parameters can (at least partially automatically) be taken into account and/or output on the one or more first user devices. This information can identify a recommendation relating to the at least one communication message. This can, for example, be formulated in the third person. Furthermore, the information can identify or be a suggested correction, an automatic correction, a query to the one or more first persons. For example, if it is determined that a communication message, in particular according to a specification made by one or more persons (e.g. likely or according to the predicted effect or reaction) will not lead to a desired effect or reaction, a recommendation a correction suggestion, an automatic correction, and/or a query and/or selection option to which at least one first person is determined. This can be output, in particular before the communication message is transmitted or output on the at least one second user device.

For example, a first parameter of a reaction of the one or more first persons to a multimedia content can be processed or taken into account together with a first parameter of a first communication. The reactions (also: parameters of reactions) can relate in particular to expediently selected, comparatively short sections.

For example, (on the one hand) sections (of communications or media content) can be selected that are (at least partially, predominantly or essentially) free of any personal, specific person and/or specific relationship level between the communicating persons (e.g. to a Communication partner of the first communication) are related influences. For example, (on the other hand) sections (of communications or media content) can be selected that (at least partially, predominantly or essentially) from personal, to a specific person, and/or to a specific relationship level between the communicating persons (e.g. to a communication partner of the first communication) influences are affected. The first piece of information or the second piece of information described in the present document can (eg optionally) have no or an (at least possible) personal reference to the one or more first persons or one or more second persons. The first parameters of the reactions can be processed in such a way that between the personal reactions or reactions related to a specific person, in particular Reaction change, and general or personal influences or reactions related to a specific person can be distinguished.

• - ein persönliches Verhältnis der (reagierenden) Person zu bzw. mit einer weiteren Person (mit der die Kommunikation geführt wurde), insbesondere mit einer bestimmten ersten Person bzw. ersten Person zugehörig zu einer bestimmten Personengruppe;
• - ein Parameter der Reaktion der zumindest einer weiteren Person, insbesondere einer bestimmten zweiten Person bzw. einer zweiten Person zugehörig zu einer bestimmten Personengruppe auf die zumindest eine (von bzw. im Namen der ersten Person erzeugte) Kommunikationsbotschaft;
• - eine Wirkung, insbesondere Erfolg der zumindest einer Kommunikationsbotschaft oder einer Kommunikation mit einer weiteren Person, insbesondere mit einer bestimmten zweiten Person bzw. zweiten Person zugehörig zu einer bestimmten Personengruppe;
• - ein Bestimmen oder Anpassen des einen oder mehrerer Parameter der zumindest einer Kommunikationsbotschaft für eine Person, insbesondere für eine bestimmte zweiten Person bzw. eine zweite Person zugehörig zu einer bestimmten Personengruppe.

For example, by processing the (first and/or second) parameters of the reactions to a section of a communication with a specific person or person belonging to a specific group of people and the (first and/or second) parameters to a section of a (e.g. from personal influences comparatively free) median content a parameter can be determined characteristic of:

• - a personal relationship of the (reacting) person to or with another person (with whom the communication was conducted), in particular with a specific first person or first person belonging to a specific group of people;
• - A parameter of the reaction of the at least one other person, in particular a specific second person or a second person belonging to a specific group of people, to the at least one communication message (generated by or on behalf of the first person);
• - an effect, in particular success of at least one communication message or communication with another person, in particular with a specific second person or second person belonging to a specific group of people;
• - Determining or adjusting the one or more parameters of the at least one communication message for a person, in particular for a specific second person or a second person belonging to a specific group of people.

For example, the parameters of the at least one communication message can be determined or adjusted in such a way that a desired reaction from the other person, e.g. one that corresponds as far as possible to a target value, will result. For example, this or a new, corrected determination or adjustment of the parameters of the communication message can take place if an undesirable effect, one in need of improvement or not optimal effect was predicted.

For the purposes of this document, the (first and/or second) user device is a portable user device, e.g. one that can be carried by the first or second person and/or that can be operated or installed in a living space (within a stationary living space or essentially stationary). understand. In particular, the user device is a user device that is networked or networkable in a living space and/or a user device that functions independently (i.e. also in itself). This has in particular a power supply, a wireless interface, sensors for detecting the communication or the reaction of the at least one (first) person and/or one or more means for generating the at least one communication message, e.g. an output device for generating the corresponding sound waves, Images, videos, etc. that correspond to the communication message. This also includes means for causing the communication message to be generated with a further output device (located in the respective environment of the second user device).

The (first and/or second) user device is in particular a (first or second) device operated or operable in a (first or second) living space or a part of such a device. For example, the user device is an active loudspeaker, a flat screen device or TV device, a development or a combination of one or more such devices. The (first and/or second) user device can, for example, be a further development of a flat screen device that can be operated in a stationary or portable manner, in particular with a camera integrated therein and aimed at the viewer for determining a first parameter.

For example, the (first, second) user device can be or include a language assistant and/or an active loudspeaker. Furthermore, the user device (from the first person or second person) portable device, such as a smartphone, tablet, electronic personal assistant, on the body of the (first or second) person or portable or at least partially with the body of user device connected to the respective person, for example a so-called smart watch or smart closes. In a portable embodiment, the user device (the first and/or the second) may weigh less than 1 or 0.5 kg. This can be worn close to the body or in a person's pocket. This results in a further advantage of the invention, since such a user device can also accompany the person when walking or moving, for example within the living space. In particular, the (eg first and/or second) user device is a user account (also: account, user account, user account or personalized access) of the respective (eg first or second) person. Alternatively or additionally the (eg first and/or second) user device can be a virtual user device or a (eg web-based) application. The method or the effect of the method can be at least partially independent of the user device (as hardware) used by the respective person (currently). In particular, one or more first user devices and/or one or more second user devices can include a GMI (=brain-machine interface) or a GMI can be counted among the first or second user devices. The GMI (also to be understood in particular as BMI=Brain Machine Interface) can be set up for data exchange with the user device. The one or more first parameters and/or one or more second parameters can be determined at least partially as a function of physical data, in particular using GMI. For example, one or more of the first parameters and/or one or more second parameters, for example characterizing the at least one respective reaction, state, emotion of the one or more respective person, can be determined by means of the GMI. Alternatively or additionally, at least part of the at least one communication message (eg one or more stimuli corresponding to the communication message) can be generated by means of stimulus transmission to the body or stimulus induction in the body of the respective (second) person, in particular by means of a GMI.

The immediate surroundings of the user devices can be understood to be smaller than one meter or directly on the user device or the person. For example, a person wearing the respective user device is in the vicinity of the user device. The environment of the user device is in particular the environment of the one or more output devices or sensors of the user device or of the output devices or sensors operated in operative connection with the user device for executing the method. The environment can also be understood as the respective environment of the respective (first or second) person who, for example, carries the user device with them. In particular, the vicinity of the user device includes a few meters. Several (first or second) persons can be present in the vicinity of the (first or second) user device. For example, the one or more first persons can be in the vicinity of the respective first user device (currently or frequently) (e.g. live) or one or more second persons can be (currently or frequently) in the vicinity of the respective second user device (e.g. live). ). The environment is to be understood in particular as a stationary living space (e.g. as an acoustically or visually separated area).

The method can be carried out on the basis of at least two different user devices or user devices of at least two different types. In particular, the at least one first user device and the second user device can belong to different types of the types described above. For example, one or more of the first user devices can be portable user devices (smartphones, tablets, smart watches, smart closes) and the at least one second user device can be (essentially, at least mostly) stationary (e.g. mainly intended for the output of various media content). , smart) device, e.g. flat panel display and/or a home theater system. Alternatively or additionally, the one or more of the first user devices can be operated in a stationary manner (e.g. intelligent devices primarily intended for the output of various media content), e.g. flat screen devices and/or home cinema systems, and the second user device can be a portable user device.

In the context of this document, the first person P1, P1', P1'' (and, analogously, a number of the first persons) is defined in particular as a user of the first user device or a person who uses the first user device, in particular for the output of media content, for telecommunications or .for various applications, uses to understand. Using the first user device means in particular that the person wears it, operates it, interacts with it (frequently, regularly and/or in a current time interval), etc. A first person can be a person who is assigned as a user of the first user device is or is registered on the first user device (e.g. logged on to it, recognized by it, etc.). The first person is in particular a person who is in the first living space, in particular who is or lives there regularly. The first user device is in particular a user device used by a first person or by the first group of people. The first person is in particular a person who is in the first living space, in particular who is or lives there regularly.

In the context of this document, the second person P2, P2', P2'' (and analogously the number of second persons) is defined in particular as a user of the second user device or a person who uses the second user device in particular for the output of media content, for telecommunications or for various applications, uses to understand. Using the second user device means in particular that the person wears it, operates it, interacts with it (frequently, regularly and/or in a current time interval), etc. A second person can be a person who is assigned as a user of the second user device net or is registered on the second user device (e.g. logged on to it, recognized by it, etc.). The second person is in particular a person who is in the second living space, in particular who is or lives there regularly. The second user device is in particular a user device that can be used by a second person or by a second group of people. The at least one first person or the number of first persons differs in particular from the at least one second person or from the number of second persons. In particular, the at least one second person or the number of second persons differs from the one or more persons who are the one or more first persons at the same time (in particular for these second persons). As an exception, the at least one second person can be a first person, for example in a later time interval and/or compared to a further third person.

The one or more first persons can (one or more) senders of the communication message or persons in their name or with the assignment to the identifier of the person (e.g. nickname, photo, symbol, avatar, etc.) generate the communication message (e.g. as Draft formulated and/or sent) or issued (especially to be understood: made perceptible). The one or more first persons can be the persons responsible or indicated as responsible for the communication message. The one or more second persons can be recipients or at least potential recipients of the communication message. These can be (at least potential) communication partners of the one or more first persons.

For example, one or more drafts of the communication messages can be created or adjusted at one or more time intervals. The one or more second persons can also be possible recipients or persons (e.g. as addressees for a variant of the communication message).

The one or more first persons and/or the one or more second persons can be consumers, in particular users or end users of the proposed functionalities, e.g. users of a communication service and/or media service. These can be professionals and/or private individuals.

The one or more parameters of the communication messages can be determined or adjusted for different second persons at least partially as a function of and/or at least partially independently of one another. Different drafts of the communication messages (e.g. also to the same second person) can be generated for different first persons. For example, these can be variants of a communication message (suggested or selectable by the one or more first persons).

The (first) communication is in particular a communication in which at least one or more (first) persons is or are involved, in particular a communication between at least two first persons. In particular, the (first) communication is a communication that takes place on a first user device or in the immediate vicinity (e.g. a few meters) of the first user device. The (first) communication can preferably be a communication within a first living space. The same applies analogously to a (merely optional) second communication. It should be pointed out that the method can also be carried out entirely without or independently of a second communication (only optionally provided) (e.g. of a communication between two of the second persons).

In particular, the first communication and/or the second communication is not a communication between the one or more first persons and the one or more second persons. The first communication (as on or in the vicinity of the first user device or in the first living space) and a (possible, only optional, only possibly taking place) second communication (as on or in the vicinity of the second user device or in the second living space) can be different communications that are at least partially or essentially independent of one another.

The at least one first communication can be a communication in which at least one first person or at least two first persons is involved, in particular actively. The first communication can be, for example, an internal communication (also to be understood in particular: only or essentially only accessible or actively operated for the one or more first persons and/or for a first communication group). The first communication can be a communication between the first persons (e.g. from at least two of the first persons), communication within the first living space (e.g. inhabited by the first persons) and/or communication in a first communication group (e.g. operated or accessible only or predominantly only by the first persons) (e.g. in a social network or . portal).

The at least one second communication can be a communication in which at least one second person or at least two second persons is involved, in particular actively. The second communication can, for example, be an internal communication (also to be understood in particular: only or essentially only accessible or actively operated for one or more second persons and/or for a second communication group). The second communication can be communication between the second persons (e.g. by at least two of the second persons), communication within the second living space (e.g. occupied by the first persons) and/or communication in a second living space (e.g. only or predominantly only by the second Person-operated or accessible) communication group (e.g. in a social network or portal).

The first communication is in particular a communication (e.g. only or mainly) that does not concern one or more second persons or a communication that is not actively conducted by one or more second persons or is not accessible to them. The second communication is in particular a communication (e.g. only or predominantly) that does not concern one or more first persons and/or a communication that is not actively conducted by one or more first persons or is not accessible to them. The (optional) first communication group and the (optional) second communication group are particularly different from each other.

For example, the one or more first persons (e.g. as sender) can be the parents of one or more second persons (e.g. as recipient) of the at least one communication message or vice versa. In this case, one or more first communications may be the parents' communications with other parents (or vice versa). The one or more second communications may be communications from the children to other children (or vice versa).

In one example, at least one second communication is a communication that takes place at least partially after at least part of a first communication, in particular after the first communication. The at least one second communication may include (e.g., in addition to portions of the communication only accessible or internal to the second person) at least a portion (e.g., portion or content) of, influenced by, and/or inspired by the first communication (e.g. inspired or conditioned) and/or depend causally on them.

The first communication, the second communication and/or the communication conducted with or effected by the at least one communication message are in particular interpersonal communications or can selectively have various characteristics of interpersonal communications, e.g. relating to their complexity or subjectivity.

In particular, the communication message (generated or output in the method) does not belong to the (first and/or second) communication. The communication message can be transmitted or output on a different transmission channel or via a different medium. For example, the communication message can be determined or adapted (e.g. partially, essentially or only) depending on first parameters and second parameters which relate to other media or transmission channels or are determined from them.

The method can be carried out without a telecommunications connection (including direct, directly transmitted communication messages), in particular without text, sound and/or image transmission, between the first user device and the second user device. The method can essentially be carried out without a transmission of (eg recorded) image, video or sound information between the first user device or devices and the second user device or devices. For example, a communication message can be generated that differs at least partially or significantly from the recording of video, sound or other signals and/or from the specification of the one or more first persons (as the "sender" or person responsible). Alternatively or additionally, the communication message can be generated or adapted at least partially or essentially depending on the second parameters relating to the second person (as the respective “recipient”).

One or more first parameters relating to the one or more first persons can be characteristic of a reaction of the one or more first persons to information (respectively) perceived by them. One or more second parameters relating to the one or more persons can be indicative of a reaction of the one or more second persons to one of the items of information (respectively) perceived by them. This is preferably an almost immediate (e.g. temporal, causal) connection with the sections of information perceived by the person (e.g. specific, respective sections of an internal communication for one or more first persons and/or with sections of the respective person perceived media content) standing reaction act.

The reaction of the at least one first person can be a reaction to media content, in particular a part (section or content) of the media content, which is sent to the first user device (e.g. on an output device of the user device or as initiated by the user device by means of another device) and/or in the vicinity of the first user device, in particular within the first living space. However, the media content can also be output with a device that differs from or is essentially independent of the first user device, e.g. a TV set in the vicinity of the user device or the first living space. In particular, the media content is a medium (e.g. perceivable with a human sense or interpretable with the human mind), e.g. a media program or multimedia content.

The one or more parameters of the reaction of the one or more (first) persons preferably characterize one or more qualitatively and/or quantitatively differentiated measures of the respective reaction. In particular, the reaction or the one or more parameters of the reaction relates to a (e.g. short) section (of the communication or of the media content) with a specific parameter of effectiveness, and/or a section comprising the first information. The one or more parameters of the reaction of the one or more (first) persons can relate (only or mainly) to one or more (specific or selected according to certain criteria) parts (sections or contents) of the communication or the media content, e.g. certain (auditory or visually perceptible) parts within the communication or media content. The sections can be sections with specific content or content that meet specific criteria.

The one or more parameters of the response of the one or more (first) persons may be an absolute measure of the response and/or a change or deviation in the response compared to a response to a section with a different parameter of effectiveness and/or to a Section with or without the first information, e.g. to a section that was not provided or modified with the stimulus (the first information) or was modified with another stimulus (another first information). Alternatively or additionally, the one or more parameters of the reaction can relate to a parameter of the corresponding context or scene and/or indicate a change or deviation of the reaction compared to a reaction in another context or scene.

The (first) parameters of the reaction of the one or more first persons can relate to several, e.g. slightly different, variants of the media content, in particular the variant generated with a specific or adapted parameter (an earlier communication message), and/or the perception of this different contexts or scenes. The respective differences in the resulting parameters of the reaction of the at least one person (as a parameter of the reaction of the at least one person) can be taken into account.

The at least one reaction can preferably include or be a physical movement, in particular a gesture, facial expressions, etc. The reaction of a (e.g. first or second) person or a parameter of the (first or second) reaction can be or include a change, in particular a measure of the change in physical agitation, which is due to the (first or second) communication or .occurs in response to the media content. In particular, the reaction can include or be body language or a body language expression (or the change in body language or the body language expression). In particular, the reaction of the at least one first (or second) person differs from an operator action, in particular an operator action that can be carried out consciously, intentionally, by means of an influence, for example on a control element or with one hand of the person. In particular, the reaction differs from a specific operator action or an operator action that is linked to a specific effect (eg a clearly defined effect). Rather, this can be a natural or be a human reaction that, for example, allows a conclusion to be drawn about a wish or need (eg stimulated by part of the media content).

In particular, the physical agitation of the person in question can characterize or take into account a physiological state or process, in particular the physiological activity of nerve cells, in particular of nerve cells in the body of the person in question. Brain activity (e.g. as any data that characterizes a brain activity of the respective person) can be counted for this. The corresponding parameters can depend on or take into account alpha waves, beta waves, gamma waves, delta waves, theta waves, sharp waves, sharp slow waves, spike waves, slow cortical potentials, sleep spindles , K-complexes, vertex waves, etc. can be determined. For example, a (first or second) parameter can characterize a pattern and/or a measure of the synchronicity of at least two of the frequency bands or waves. Such or other parameters characterizing the brain activity can be determined by means of electroencephalography. These can be determined and/or taken into account, for example, using the user device. The reaction of a (e.g. first or second) person or a parameter of the (first or second) reaction can indicate a change, in particular a measure of the change in the physiological activity of nerve cells, one or more characteristics (e.g. described above) of brain activity or take into account that occurs as a result of the (first or second) communication or media content.

The physiological state or process, in particular the physiological activity of nerve cells, in particular of nerve cells in the body of the respective person can also be used to train and/or operate the one or more personality models or avatars of the person.

Only in exceptional cases (e.g. in a particular embodiment of the invention) can said reaction of the first person include or be an operator action. In particular, these comprise or be a significantly simpler or simplified operating action in comparison with an information input, for example with an input of the texts, contents, audio information comparable to the communication message.

In particular, the one or more parameters of the reaction characterize an unconscious reaction, in particular a reaction of the subconscious of the respective (first) person. For example, the one or more parameters of the response of the one or more (first) persons may indicate a stimulus of the person's subconscious, e.g., in response to the one or more portions of the communication or media content.

For example, the one or more parameters of the reaction of the one or more (first or second) persons can be a (conscious and/or unconscious) attitude, emotion, association, dismay, degree of agreement of the person with the part (section or content) of the communication or mark the media content. The corresponding (first or second) parameters of the reactions can be based on suitably selected physical parameters, in particular parameters of a contraction and/or relaxation of certain muscles, neuronal impulses, reactions of the nervous system or brain activity of the person or one or more corresponding patterns, e.g. be determined in relation to a microexpression, lip movements and/or eye movements of the respective person. The (first or second) parameters of a large number of the reactions of the at least one first person, in particular in the course of a communication or in the course (during the playing time) of media content, e.g. ten or hundred per media length, are preferably determined and taken into account.

• Der ein oder mehrerer Parameter der körperlichen Regungen bzw. der Reaktion können anhand von zweckmäßig gewählter körperlicher Parameter, insbesondere Parameter einer Anspannung und/oder Entspannung bestimmter Muskeln, (biologischer) neuronaler Impulse, Reaktion des Nervensystems, eine mikroelektrische Muskelaktivität bzw. Gehirnaktivität der Person bzw. eines oder mehrerer entsprechenden Muster, z.B. in Bezug auf eine Mikroexpression, Anspannung, Entspannung, bzw. Spannungsmuster bestimmter Muskeln, Lippenbewegungen und/oder Augenbewegungen der Person ermittelt werden. Ein solches Muster der körperlichen Regung kann kennzeichnend sein, z.B. für ein Lächeln, Lachen, Schmunzeln, (etwas) Mögen, (zu etwas) Zustimmen, Weinen, Entsetzen, Angst, Trauer, (etwas) Ablehnen, Wollen, Begehren, etc. und/oder für einen kognitiven Vorgang. Beispielsweise kann das Muster kennzeichnend sein bzw. als kennzeichnend erkannt werden zu einem oder mehreren kognitiven Vorgänge. Dabei kann auch nur ein (mehr oder minder allgemeines Merkmal sein, das einen Rückschluss auf einen oder mehrere kognitive Vorgänge erlaubt. Daher kann ein Parameter körperlicher Regung explizit oder implizit kennzeichnen, dass ein kognitiver Vorgang einer bestimmten Art (bei der jeweiligen Person) stattfindet. Beispielsweise können sich ein oder mehrerer Parameter der körperlichen Regungen auf einen der folgenden Vorgänge (bei der jeweiligen Person) beziehen bzw. einen Rückschluss auf einen der folgenden Vorgänge kennzeichnen: Erinnern, Rückschlüsse ziehen, Bereuen, Vergleichen, Entscheiden, Merken, etc.

The following explanations can refer to the physical agitation or reaction of a person, in particular the one or more first persons or the at least one second person:

• The one or more parameters of the physical stimuli or the reaction can be determined on the basis of suitably selected physical parameters, in particular parameters of a contraction and/or relaxation of certain muscles, (biological) neuronal impulses, reactions of the nervous system, microelectrical muscle activity or brain activity of the person or One or more corresponding patterns, for example in relation to a microexpression, tension, relaxation or tension pattern of certain muscles, lip movements and/or eye movements of the person are determined. Such a pattern of bodily emotion can be characteristic, e.g. of a smile, laughter, chuckle, liking (something), agreeing (to something), crying, horror, fear, sadness, rejecting (something), wanting, craving, etc. and /or for a cognitive process. For example, the pattern can be characteristic or recognized as characteristic of one or more cognitive processes. There can also be only one (more or less general feature that Conclusions about one or more cognitive processes allowed. Thus, a parameter of bodily arousal may indicate, explicitly or implicitly, that a cognitive process of a particular type (in the individual) is taking place. For example, one or more parameters of the physical impulses can relate to one of the following processes (for the respective person) or indicate a conclusion about one of the following processes: remembering, drawing conclusions, regretting, comparing, deciding, remembering, etc.

For example, the one or more parameters of the physical agitation, in particular the person's reaction, can be determined depending on a mimic and an acoustic impulse of the person (in particular in a specific combination and/or as a pattern). In a simplified example, an acoustic and/or visual impulse of the person recognized as enthusiastic interjection can be taken into account.

A parameter of physical agitation and/or the reaction particularly preferably characterizes a so-called microexpression, in particular so-called micromimicry. Microexpression is understood to mean, in particular, an expression that the person concerned cannot consciously control, a change in facial expressions, gestures, etc., as well as such interactional micromovement(s). Microexpression typically occurs in humans before a conscious or consciously controllable physical impulse (usually only after about 1 second), e.g. before a (subsequent) voluntarily induced smile or the like. For example, one or more micro-expressions of the first person occurring in connection with specific sections of the communication and/or sections of the media content are recognized or determined as a parameter. In particular, the parameter of the physical agitation or the reaction can be determined or taken into account on the basis of the corresponding appearance, change, action, body language of an object or a part of the scene determined in a temporal and/or causal connection.

For example, said physical impulse can be a physical impulse, in particular a conscious or unconscious one, a change in physical impulse, body language, body language expression or body language message, a micro-expression, a pattern of a certain emotion, intention, appeal, interest, affection, etc. expresses The physical agitation is preferably a short, largely involuntary change, e.g. in the face, in the eyes, gaze path, corners of the eyes. In particular, the parameters of the physical agitation, in particular the reaction, relate to a preferably short time interval, e.g., shorter than 0.1, associated with the detection of the scene in the vicinity of the user device, e.g. 0.2; 0.5; 1; 2; 3; seconds.

As an alternative or in addition, the physical impulse and/or reaction can include an acoustic impulse or acoustic reaction, which is expressed, for example, as an intonation, voice parameter, interjection or a change in intonation, voice parameter, etc.

For example, a parameter of the physical agitation, in particular the reaction, takes into account or characterizes a body language expression, a feature or pattern of the body language. In particular, parameters of a, e.g., comparatively gross motor and/or (typically) consciously controllable physical impulse (or reaction) can be distinguished from the parameters of a (typically) unconsciously controllable physical impulse (or reaction) or be taken into account differently.

For example, typical patterns can be recognized and taken into account in the method for specific types or classes of physical impulses or reactions of the at least one (first or second) person, e.g. a specific person or a person belonging to a specific group of people. When recognizing or recognizing different bodily impulses or types of bodily impulses, e.g. body language messages, micro-expressions, micro-electrical muscle activity, tension, relaxation or tension patterns of certain muscles, and/or other, linguistic, acoustic reactions of the first person, each can have a different Generating the communication message or determining or adjusting a parameter of the communication message are executed. For example, different communication messages are generated for different predefined classes (categories) of physical impulses or reactions, or different parameter values of the at least one communication message are determined or adjusted.

The one or more parameters of the physical activity, in particular the reaction of the at least one first person of the user device, can relate (only or mainly) to one or more specific Parts, e.g. sections, form, visual, acoustic aspects of the sections of communication or media content perceived (by the respective person).

For example, the person is shown certain parts of content (e.g. a communication influenced or not influenced by the at least one first piece of information and/or media content influenced or not influenced) one after the other or in a specific sequence and/or spatial distribution. This can be done in such a way that several differentiated reactions, e.g. reactions to certain parts, aspects of the information can be determined at least partially independently of each other. Evaluation and interpretation can then take place.

The reaction of the person (to a part of the information) is to be understood in particular as a reaction that occurs in the person in a (e.g. temporal and/or causal) connection with the receipt, appearance, of the part of the information.

It can be a reaction which, for example, has a specific, causal and/or (specific, close) temporal connection, in particular within a few fractions of a second, seconds or minutes, with the relevant part of the information. It can be a reaction that occurs in a (temporal and/or causal) connection with the occurrence, change, action or piece of information.

In particular, one parameter of the reaction is a physical stimulus that occurs quickly and/or only for a short time (e.g. up to 0.1; 0.2; 0.5; 1. seconds), in particular a rapid and/or brief change in a physical stimulus parameters or the physical expression of the person. This can be distinguished from a further (particularly voluntarily controllable) reaction.

The at least one reaction can be recorded in the form of one or more physical impulses or one or more parameters of the reaction can be determined from one or more parameters of the one or more physical impulses. Such a reaction can correspond to a facial expression and/or expression through gestures of the person, preferably as a (e.g. for a specific person or person belonging to a specific group of people, and/or a machine-learned) pattern of physical agitation. It can be taken into account that different people or people belonging to different groups of people (in particular to certain objects) tend to react differently. For example, a parameter of the person's reaction can be determined as a function of an interpretation of the one or more physical impulses of the person, which is specific in particular to the person or group of people.

The parameter of the person's reaction can indicate an absolute measure of the reaction and/or a change or deviation of the reaction compared to a fixed or dynamically defined measure, e.g. with a statistical measure of the reaction typical of the person or group of people. For example, for the at least one parameter of the reaction, only or mainly a change in a corresponding recorded parameter of the person that occurs in connection with the appearance or perception of the object or part of the information by the person can be decisive.

For example, the information (for the purpose of recognizing the person's reaction) can also be varied, i.e. changed within the framework of the method or by the system. For example, this can be done in order to identify one (of several present in the information) part, form, aspect of the information that is or was relevant for triggering a certain reaction.

In particular, a parameter of the person's physical impulse and/or response indicates an unconscious physical impulse. It can be an impulse coming from the subconscious, in particular not consciously carried out or controlled or controllable. For example, a parameter of the reaction characterizes an unconscious reaction, in particular a reaction of the person's subconscious to a part of the communication or the media content.

For example, the first reactions of the one or more first persons and/or a second reaction of the at least one second person are determined. These can be the first and/or second reactions that are stimulated by means of the respective first information (e.g. generated or determined for the one or more first persons or for the one or more second persons).

In one embodiment of the method, first information can be selected or determined for one or more first persons and/or the at least one second person (in each case) with their (respective, first or second) parameter of the reaction and/or a parameter of the respective personality model of the one or more first persons and/or the at least one second person can be determined. The communication message can then be generated or adapted depending on the one or more of the determined (first and/or second) parameters. For example, one or more parameters of the communication message can be determined or adjusted depending on a first condition dependent on the first parameters and/or a second condition dependent on the second parameters.

For example, a physical emotion of the one or more first persons in relation to a symbol (e.g. a photo, avatar, profile, for example in a social network) of the at least one second person can (also) be considered in particular as a first parameter. For example, a physical emotion of the at least one second person in relation to a symbol (e.g. a photo, avatar, profile, e.g. in a social network) of the one or more first persons can in particular (also) be considered as a second parameter. The at least one communication message can (also) be generated (in particular also encouraged to be understood, designed, adapted and/or output) depending on these first or second parameters.

For example, a communication message can be generated or one or more parameters of the communication message can be determined or adjusted if it is recognized by means of the first user device or the second user device that a first person has a second symbol representing the at least one second person (e.g. the photo, profile, avatar, for example in a social network) with a physical emotion that fulfills a first predetermined condition (e.g. looks) and/or the at least one second person perceives a first symbol representing a first person (e.g. the photo, profile, avatar, for example in a social network net) with a physical emotion that fulfills a second predetermined condition (e.g. looks). For example, the first predetermined condition and/or a second predetermined condition may be indicative of a specific physical stimulus (e.g., a facially expressed emotion) or exceeding a specific threshold. The first predetermined condition and the second predetermined condition can also relate to a time-dependent quantity, e.g. a frequency and/or simultaneity of the physical impulses (e.g. recognized by the first user device and by the second user device) and/or by the (e.g. emotions (of the first person and the second person) recognized or interpreted in the first bodily impulse and the second bodily impulse).

For example, if it is recognized by means of the first or second user device that the first person and the second person perceive their respective profiles or symbols in a social network with particularly pronounced physical impulses or emotions (to be understood in particular: with a physical impulse react to them), in particular if a (e.g. mutual) affection, favor or love is recognized, a communication message can be generated according to one of the ways described in this document.

The first information can be generated depending on the first parameters and/or second parameters described in this document and/or one or more parameters of the first information can be determined or adjusted depending on the first parameters and/or second parameters described in this document. This can take place according to a predetermined dependency, in particular according to the mathematical relationship or depending on an implementation of the mathematical relationship. In particular, the generation of the at least one first item of information and/or the at least one first item of information can be controlled or generated by a (possibly another) neural network, in particular dependent on or influenced by the neural network.

For example, a selection of the first information and/or one or more parameters of the first information can be determined or adjusted, in particular for specific first and/or second people or people who belong to specific groups of people. The neural network can be the at least one neural network already described or a neural network connected to the at least one neural network or a neural network dependent or controlled by it.

The data for generating the at least one communication message (eg according to the parameters determined or adapted in the method) can be generated by a generator of the communication bot are generated. The generator of the communication messages can be set up to generate or adapt a text, speech signal, body language (eg facial expressions, gestures, pose, etc.), image, video, a tactile, olfactory or gustatory perceptible stimulus. The generator of the communication messages can be set up to at least partially regenerate the communication message, in particular the text, voice output, body language (e.g. facial expressions, gestures, poses, etc.), scent, taste, etc. or at least partially (e.g. in comparison to a corresponding specification of the first person).

For example, the generator of the communication messages can generate one or more communication messages (e.g. different or adapted for several second persons), in particular depending on data based on a specification by the first person. The one or more communication messages can then be at least partially newly generated or at least partially, in particular, e.g only relating to one or more parameters determined or adjusted in the process. The generator of the communication messages can (correspondingly) be a text generator, speech generator, image generator, video generator, body language generator (e.g. facial expression generator and/or gesture generator), scene generator, generator of tactile, gustatory or olfactory stimuli (e.g. a touch generator, scent generator or scent organ and/or a flavor generator, etc.) be or include. The generator of the communication messages can carry out an adjustment (e.g. as a selective correction of certain parameters or parameters to be adjusted) or a variant formation (e.g. for different second persons or for different second parameters in the environment of the second person) or be set up for this. The generation or adaptation of communication message can be done by means of text generation, language generation, melody generation, image generation, body language generation, scene generation, fragrance generation, touch generation, or text adaptation, language adaptation, melody adaptation, image adaptation, body language adaptation, scene adaptation, the Scent customization, touch customization done.

The generator of the communication messages can be set up at least partially in the first user device and/or in the arithmetic unit arranged at a distance and/or in the second user device. This can include at least one neural network and/or be operated (e.g. controlled) by at least one neural network. For example, the generator of the communication messages can be operated, in particular controlled or influenced, (directly or indirectly) depending on one or more first parameters and/or on one or more second parameters or an output layer of the neural network.

Alternatively or in addition to the generator of the communication messages, the invention can comprise a generator of support information and/or a generator of voting information and/or a generator of feedback. These generators can (optionally) have one or more features or combination of features of the generator of the communication messages described in the present document. These differ from the generator of the communication messages in particular in that they rather output to one or more first persons (e.g. to the sender, client, initiator of a communication message or a person who intends to communicate (e.g. according to certain selectable characteristics). arrange generate.

The input layer of the neural network can (in the process, when generating or adapting a communication message) by one or more first parameters and/or by one or more second parameters (to be understood also: data sections that contain the first parameters or the second parameters or their mark time course) can be controlled. This is also to be understood in particular as meaning that the information which is dependent on the one or more first parameters and/or by one or more second parameters or which characterizes the parameters is provided to the input layer of the neural network or is read in by it.

For example, the parts (sections or content) of the (first or second) communication or media content to which the first parameters of the reactions relate can be comparatively (comparing the length or scope of the communication or media content) small, especially infinitesimal parts (sections or content).

For example, the reactions can relate to individual verses of a poem, individual musical phrases of a piece of music, individual rhetorical phrases or gestures of an actor, individual scenes of a film as the corresponding media content. Accordingly, said response may differ materially from response to the communication or to the median content as a whole. The corresponding parameter values can each be stored individually, based on the respective parts (sections or contents) they cause, as a sequence of the parameters, and/or as one or more processed, eg matched with a pattern, brought into a specific form, cumulative parameter values determined and/or taken into account.

The one or more prevailing or valid parameters in the environment of the second user device or within the second living space and parameters of the at least one communication message are also referred to as the “second” parameters in the context of the document. The one or more parameters prevailing or applicable in the environment of the first user device or within the first living space are also referred to as the “first” parameters in the context of the document. The one or more of the parameters may indicate a (comparatively complex) qualitative and/or quantitative characteristic. For example, these can identify states, contexts, chronological sequences, etc. with fine resolution or distinguishable ones. In particular, these go (e.g. far or in principle) beyond signalling, status display or the like. The first parameters and/or the second parameters can be determined and/or processed in the form of parameter sets or data sections. A data section can indicate one or more corresponding parameters, sequences of parameters, changes in parameters, a function of the parameter change, in particular in a respective time interval (e.g. for time intervals of a few minutes, hours, days).

In particular, the one or more of the second parameter values of the one or more second parameters deviate from the one or more first parameter values of the one or more first parameters. In particular, the one or more of the first parameters and the one or more second parameters belong to different types of parameters, e.g. parameters that identify different or not clearly related features. For example, the one or more first parameters and the one or more second parameters may belong to the different types of parameters described in this document. The communication message can, but does not have to, include a (e.g. only small) portion of transmitted and/or unaltered image, video or audio content from a first user device to a second user device or vice versa. In particular, the at least one communication message does not include or reproduce a coherent part (section or content) of the information determined on a first user device, e.g. related to a relatively long time interval. For example, the communication message is determined at least predominantly on the basis of additional content not transmitted from the first user device. It can be (second) content that is already stored in the second user device or is transmitted to the user device from another source. The communication message on a second user device is output in particular for the second person (who uses the user device and/or who operates the user device within the second living space). The multimedia content (which triggers or influences the reaction of the at least one person) can be transmitted in the method to the first user device (also: by means of the first user device) and/or by means of a further one (e.g. directly or indirectly networked with the first user device or from the first user device in the Substantially independent) device, in particular an output device, e.g. a multimedia output device in the environment, in the same living space. In particular, the output of a section of the media content to trigger the reaction of the at least one person can be initiated in the method, e.g. by means of the (first) user device. This can be a selected, modified, generated portion of the media content. This can be selected, modified or generated to trigger a specific reaction or a reaction of a specific type and/or to determine one or more parameters of the reaction of the (first or second) person. This can correspond to the first information or second information described in the present document or be selected, modified or generated depending on the first information or second information. The parameter of the reaction of the person determined (in each case thereupon) can be provided or used for controlling the generator of the communication messages and/or for training and/or operating the at least one neural network.

The reaction of the at least one person in connection with the communication is to be understood in particular as a reaction which the at least one person has in a (e.g. temporal and/or causal) connection with the communication, e.g. in a communication, in the course of a communication, to a part (section or content) of the communication, occurs. In particular, there can be one be a reaction that is triggered or changed in the at least one (specific) person by one or more aspects of the communication and/or the media content (eg specific or selected according to specific criteria).

For example, this can be a reaction of at least one (e.g. first) person to the communication of another person, in particular not a second person, or a communication between two other persons. The first communication can be a communication between at least one first person and another first person or another person who is different from the second person. In particular, it can be a reaction that occurs to a specific (short) section of the communication or to a specific (short) section of the media content. It can be a reaction that occurs, for example, in a specific, causal connection, in a (specific, close) temporal connection, in particular within a few fractions of a second, seconds, minutes, with the communication and/or with the media content or occurs with one or more specific sections of the Communication and/or Media Content. In particular, a short-term, rapid change in a parameter of the corresponding first person is regarded as a parameter of the reaction.

The parameter of a reaction of the at least one person in connection with a communication can be understood, for example, as an action or a so-called transaction within the communication and/or as a physical impulse, a change in a body language expression of the at least one person. A (first) parameter of the reaction particularly preferably characterizes a so-called microexpression, in particular so-called micromimicry. Microexpression is understood to mean, in particular, an expression that the person concerned cannot consciously control, a change in facial expressions, gestures, etc., as well as such interactional micromovement(s). This means, for example, a microexpression that typically occurs in humans before a (usually after about 1 second subsequent) conscious or consciously controllable physical impulse, e.g. before a (subsequent) intentionally induced smile or the like.

For example, one or more micro-expressions of the first person occurring in connection with specific sections of the communication and/or sections of the media content are recognized or determined as a parameter. In particular, the parameter of the reaction can be determined or taken into account on the basis of the parameters determined in a temporal and/or causal connection with certain, corresponding sections of the communication and/or sections of the media content, e.g. patterns of the microexpression of the at least one person.

In particular, the one or more parameters of the reaction of at least two first persons (who use the first user device or are located within the first living space) can be determined and taken into account. For example, a comparison of the parameters of the at least two first persons, in particular those involved in the same (first) communication and/or perceiving the same media content, in particular the same sections of the media content, can be carried out and taken into account in the method. For example, when a measure of a similarity or correlation of the parameters of the reactions of at least two people, in particular people belonging to the same group of people, is determined during a comparison and taken into account in the method.

For example, a parameter of the communication message can depend on a number of the first people (in the same first living space or in the vicinity of the first user device, a number of the first people in a first communication group, and/or on different second user devices or within different first living spaces ) that show some correlation or similarity to each other, and/or are determined or adjusted by a measure of correlation or similarity. For example, if it is determined during a comparison that the parameters of the reaction of the at least two people, in particular those belonging to the same group of people, have a comparatively high or low degree of similarity or correlation with one another, a specific (e.g. intended for this case) and /or a stronger or weaker change in a parameter of the communication message can be caused.

In particular, the at least one communication message includes or carries information that deviates from or goes far beyond mere signaling, for example via individual tones or visually perceptible signals. The communication message can preferably carry or include extensive (eg several kilobits or megabits per second), diverse, complex information or scopes that can be perceived as narrative, artistic or dramaturgical. In particular, the communication message (quasi: the output of the process in its final form or that which can be perceived by people) information that can be directly perceived by (only) one or more human perception channels (e.g. auditory, visual, gustatory, haptic or tactile or olfactory). In particular, the communication message comprises at least one, preferably two, different types, for example two outputs that can be perceived by the at least one (second) person with different senses. These can be generated in a specific relationship to one another or to the same object within a communication message. For example, a communication message may include an auditory output and a visual output, with the auditory and visual output having some relation to one another, to the same information, to the same content, and/or to the same item or event, appropriately or in a specific manner Way synchronized to each other are generated. The communication message can also only be an audible output, only a visual output or only another output that is particularly audible and/or visually perceptible.

For example, the communication message may include or be an image or video output that is linked or synchronized to the audible (auditory) content. In other words, the communication message can also be a video sequence and/or part of a sound within a video sequence (a film, a show, etc.). The communication message can be generated from data that is already available and is to be output and/or is still to be generated. For example, the communication message can be generated at least partially on the basis of data that is already available, e.g. read out from a data source, e.g. stepwise read out or streamed data, on the one hand and/or on the basis of data yet to be generated, e.g. by means of a text generator, voice generator, image generator, video generator, body language generator (e.g. facial expression generator and/or gesture generator), scene generator, generator of tactile, gustatory or olfactory stimuli (e.g. a touch generator, scent generator or scent organ and/or a taste generator, etc.), on the other hand. In particular, the communication message includes useful content and/or content desired (at least potentially or presumably) by the at least one second person in the vicinity of the second user device or in the second living space.

For example, one or more parameters of the communication message (e.g. based on a specification as text, voice input, image, etc.) depend on the one or more parameters of the physical impulses of the one or more first persons in the surroundings of the one or more (respective) first user devices. For example, an auditory, visual, tactile, olfactory output communication message can be generated on the basis of a specification as text, voice input, image, etc.) and/or taking into account the respective second parameter. Alternatively or additionally, the communication message can include second content that differs from the first content (e.g., default content). In particular (only) the generation, e.g. the rule or logic for generation or adjustment, can be determined or adjusted depending on the one or more first parameters (not necessarily individual parameter values as such). In a simplified example, the at least one visual output, e.g. according to a predetermined (e.g. in the said mathematical context trained by the at least one neural network or marked in the at least one neural network), formula, etc. depending on one or more Parameters of bodily movements of one or more first persons are generated.

The communication message can be integrated into a part, e.g. a section or part of a (further, to be output in the vicinity of the second user device or the second living space) program, e.g. broadcast or media content or linked to it or synchronized according to certain criteria.

The communication message can include or be at least one physical impulse, e.g. an impulse in body language, an expression in body language or an impulse expressed in body language. Such a physical emotion or body language expression can, for example, be a technically controlled visualization designed as a simulation or at least partially a physical change or movement of a part of a face or body of an avatar (e.g. a partially fictitious or technologically realized being or a imitation of a being e.g. with a characteristic of the person). For example, the communication message can be a (visually and/or audibly) represented, at least partially physically executed or perceptible body language impulse or a body language expression or body language message of an avatar.

The at least one piece of support information and/or voting information and/or feedback can (optionally) include one or more features or features described in the present document have a combination of features of at least one communication message. These differ in particular from a communication message (e.g. addressed to the communication partner) in that they are rather sent to the sender, customer, originator of a communication message or a person who intends to arrange the communication (e.g. according to certain selectable characteristics).

The personality model or avatar can be generated, in particular displayed or controlled, by means of the (second) user device. For example, depending on the parameter of the communication message determined or adapted in the method, a facial expression, gesture, pose, microexpression, a communication message expressed in body language or a technical replica or visualization of a facial expression, gesture, microexpression, pose, a communication message expressed in body language, e.g. of an avatar, is changed. in particular are controlled accordingly. Physical activity of this kind that is technically generated in the process can be independent of or (e.g. according to a predetermined dependency) dependent on information to be output (to a second person or in the second living space), an (auditory or visual) content, etc. The physical movement or the body language (e.g. physical movement or the body language of at least one virtual personality belonging to the communication message or being operated at the same time) can be determined or adjusted, in particular continuously or in small, in particular inconspicuous, stages. Preferably, during a physical movement or body language, one or more, preferably most, other features that contribute to recognition, e.g. shapes, proportions, etc. of the avatar (continue to) remain essentially unchanged or are only changed within a small tolerance range or pattern .

In particular, the (first) communication is a communication in which at least one (first) communicating person is within the first living space and/or is in the vicinity of the first user device or is using it. It can be a communication in which at least two first persons are involved. The communication can in particular relate to at least two people or be conducted between at least two first people who are in the vicinity of the user device or within the one first living space or in each case within the two surroundings of the user devices or the first living spaces.

The media content (from the first user device, in the vicinity of the first user device, in particular within a first living space) can be media and/or visually perceptible content, e.g. music, video sequence, audio book, a contribution from the Internet, a section of a program or a message sequence, or a communication from or with a third person (from outside, so to speak) etc. In particular, it can be a communication from or with a third party that differs from the first communication, the second communication or the communication between the first person and the second person or is independent of them (e.g. in terms of content, causality). In exceptional cases, it can be another communication that affects the person concerned (e.g. outside of the procedure).

In particular, the media content can be output on the respective (e.g. the first or the second) user device or on a further output device (networked or controlled or independent with the respective user device). The media content is in particular a (specific, selected or generated according to specific criteria, and/or a short) section of a larger media content, e.g. a hearing program, output of auditory or visual content, e.g. to understand. The media content can be media content, in particular one or more sections of the media content that (each) have a specific (expected or expectable) effect or effectiveness, e.g. a measure of the effect or effectiveness.

In particular, the media content, in particular the media content to be output on the first user device, can be essentially independent of the other parameters determined in the method or the data or content on which the media content is based can be essentially independent of other parameters or data decisive for the method. For example, the media content can be a section of the news or a news program, the content (at least the underlying content) of the news or the news program being independent of the (first) people in the (first) living space and/or what is happening in the area of the first user device or within the first living space. The media content or a section of the media content (on the one or more first user devices or for the one or more first living rooms) can preferably be generated at least partially within the scope of the method (this can also include causing the off of the corresponding media content or a section, e.g. with a certain expected effect or effectiveness) in order to trigger a reaction, in particular a certain reaction of the at least one (first) person to the media content, as well as the one or more parameters of the reaction determine the at least one person on the media content. In this case, the determination of the one or more parameters of the reaction of the at least one person includes generating, outputting or causing a media content, in particular a section of the media content, that is suitable or selected in particular for stimulating the at least one reaction.

For example, a parameter of the media content (which is output, for example, for a specific first or second person or for a person who belongs to a specific group of people, on a specific user device or in a specific living space) can be determined or adjusted, in particular in this way that with the media content, in particular with a section of the media content, a reaction, a specific reaction or a reaction with a specific parameter and/or a reaction of a specific person or person belonging to a specific group of people is stimulated. For example, the effect or effectiveness of one or more sections of the media content is determined in such a way, e.g. the sections are selected in such a way that a reaction, a specific reaction or a reaction with a specific parameter, e.g. associated with a specific person or person, is associated with the media content to a specific group of people. For example, a reaction corresponding to a specific emotion, a specific psychological or cognitive process can be stimulated.

In particular, the media content or the section of the media content can be situation-dependent and/or dependent on a parameter of the reaction of the at least one to be recorded, e.g. still missing or under-represented, relevant for the method, e.g. usable for at least one further step of the method Person to be chosen or generated.

For example, a e.g. first media content, in particular a section of the media content, can be selected, modified and/or output (in the vicinity of the first user device and/or within the first living space), with which a person's reaction is stimulated, wherein the reaction to a certain state of the person, e.g. their emotional state, a so-called "I-state", state of attention, etc. provides information, e.g. indicates a state or change of state of the person. One or more different media content (intended or suitable for stimulating different reactions) or different sections of media content for the one or more first user devices or living spaces can be selected, initiated or with the user device or user devices within the living space or living spaces , be generated. These can have specific, in particular different (cognitive, psychological, emotional, etc.) effects or effectiveness. For example, the media content, in particular a section of the media content, is selected, modified or generated in such a way that it stimulates a specific reaction, a reaction of a specific type (or leads to a specific reaction or reaction of a specific type).

In a further variant of the method, the media content can be a rhetorical question, e.g. to the one or more first persons, e.g or condition of the person, e.g. a personality test, test on the emotional state or the type of communication or a current communication behavior of the respective person. Such a test can (possibly imperceptibly or not bothering the person) be inserted (integrated) into one media content, e.g. as one or more sections, e.g. dynamically, depending on at least one piece of information determined in the process, e.g. parameters.

The one or more parameters of a reaction of the at least one person to the at least one media content can be an action, a impulse, an emotion, a body movement, and/or body language (an expression in body language, e.g. facial expressions, gestures, tone of voice or their change) that occurs or is determined in response to the output of a part (section or content) of the media content or in connection with the media content. The one or more parameters of the reaction of the at least one person to a media content can be indicative of a type and/or intensity of the reaction, for example. For example, reactions may include or be laughing, crying, an interjection, a physical agitation, one or more facial expressions or gestural patterns (patterns related to gestures) or micro-expressions of the person. A reaction can also be an indication of a certain mood, a certain type of communication, or a certain change in mood or type of communication.

An absence, deviation, delay, acceleration, intensification of a (possible, otherwise expected) reaction can also be viewed as a parameter of the reaction. The parameter of the response preferably characterizes a qualitative and/or quantitative measure or pattern of the response. A parameter or measure may relate to (e.g. be normalized to) an expected or average effect of the portion of media content. For example, a parameter can identify a deviation or factor in relation to an otherwise expected (typical, statistically or to be expected based on the parameters from the past) reaction. For example, the parameter of the reaction can also identify a particularly weak, absent, disproportionate or unexpected (ie deviating from one or more specific dimensions, types or patterns) reaction of the person to at least a portion of the communication or the media content. For example, the at least one parameter of the reaction of the at least one first person can correspond to a pattern, eg one of several distinguishable patterns from the (first) parameter values. For example, a parameter of the reaction can characterize one or more specific physical impulses occurring in a specific sequence and characterized by specific proportions and/or a respective intensity and/or pattern. The reaction may involve a time-extended and/or dynamic process. A parameter of the reaction can characterize a course or dynamic of the reaction over time.

A parameter of the reaction can be determined, for example, with a microphone, with a camera, and/or by detecting a physical parameter of the at least one person. For example, the one or more (first) parameters of the reaction can take place with a first user device set up to carry out the method (with a microphone, camera, another sensor of the user device or a sensor networked with the user device).

A parameter of the reaction can identify whether or to what extent at least a part (section, component) of the media content has had an effect on the person, in particular which specific parts of the media content have had an effect and to what extent. For example, whether this had a stimulating or calming effect, whether or to what extent an appeal, e.g. a request for action, worked, e.g. the person (as such) received or perceived it, whether or to what extent a specific need of the person was addressed or activated and/or satisfied.

The one or more first parameters of the communication and a first parameter of the reaction that occurs to a section of the communication or to the output of the media content can be determined with the same or with different, e.g. directly or indirectly networked devices, in particular with a Device with which the media content is also output.

Alternatively or in addition (to the parameter of the reaction of the at least one person), at least one parameter of the media content (issued in the vicinity of the first user device, e.g. within the first living space), in particular in the output, can be determined and taken into account. Such a parameter can be a genre, a wording occurring in the media content, an image, a sequence and/or pattern of sounds (melody) and/or images, a content feature (e.g. an automatically analyzed property or rating of the media content), a (At least probable, expected) effect on people, in particular on a specific person or a person who belongs to a specific group of people.

In a simplified example, it can be taken into account whether the media content, in particular a certain section of the multimedia content, is more stimulating, calming, etc., whether and what appeal (e.g. a request for action) it includes, what need or needs it (at least potentially) addresses or satisfied, how intense a respective effect is, etc. One or more such sections of the media content can be components of a (possibly existing, prefabricated) multimedia program to be output or in one output or to be output on the first user device or within the first living space multimedia program can be integrated.

The reaction can preferably be an emotional and/or body language reaction and/or a change in the state, e.g. the so-called ego state (from which the person communicates or reacts), behavior, communication behavior of the at least one first person in act in the vicinity of the user device or within the first living space. For example, a parameter of the reaction of the at least one first person to the media content in the vicinity of the first user device or within the first living space can be determined and taken into account, which indicates an emotion and/or physical impulse that has occurred and/or changed in response to the media content ( eg a body language utterance or microexpression) or a state that has occurred and/or changed as a result of the media content, in particular the ego state or communication state of the first person. This parameter can be taken into account when determining or adjusting a parameter of the at least one communication message on the second user device or in a second living space.

As an exception, the person's reaction can be an action, in particular an operator action, a change and/or the absence of an operator action. The operator action can relate directly or indirectly to the media content and/or to a device for outputting the media content. Such an operator action can be, for example, changing the volume, the program, e.g. switching the program, the channel, a chapter, a so-called fast forward or rewind (selection of an earlier or later section), muting, e.g. for a specific section, a setting , e.g. relating to an output of a content, a parameter of the output or the like.

For example, the one or more parameters of a reaction of the at least one person relate to a first portion of a communication and/or to a first portion of media content in the vicinity of the user device or within the first living space. The first section of a communication or the first section of media content can be specific or selected according to specific criteria and/or (in the process) specific or adapted (e.g. modified) short sections.

In particular, the parameter can be assigned to the reaction of the at least one person to the one (respective, corresponding) first section of a communication or to the one first section of media content (which triggered it). The at least one parameter of the reaction can be processed depending on the assignment to information about the first section of the communication (which triggers it or influences it) or the first section of media content. In other words, the at least one parameter of the reaction can be processed or taken into account together with the information about the section of a communication or about the section of media content that triggered or influenced this reaction. For example, the assignment can be based on a temporal and/or causal connection between one or more specific reactions of the at least one person and a first section of a communication or to the first section of media content (which led to this reaction or triggered the reaction ) take place.

In particular, the one or more first parameters of the first portion of the communication and one or more corresponding or associated first parameters of the response to the first portion of the communication can be processed (together or in a dependency on or on one another). For example, the first parameter of the first section of the communication or the first parameter of the media content can have an expected effect on a person or person belonging to a group of people and/or a more or less objectified (e.g. based on a typical or statistical value) effectiveness mark the section. A corresponding first parameter of the reaction can in particular characterize the effect that actually occurred (on a person, a specific person or a person belonging to a group of people). For example, the parameter of the reaction can characterize an absolute measure of the effect or reaction that actually occurred or a relative measure of the reaction, e.g.

For example, the at least one first section of the communication and/or the at least one first section of the media content can be selected, changed and/or generated (e.g. in the course of a multimedia program to be output) according to a predetermined condition, in particular depending on its expected effect or effectiveness.

For example, several short first sections of the communication and/or several short first sections of the media content can be selected, changed and/or created.

In an example of the method, one or more individual images, symbols, objects, etc. (e.g. as the first information i1 described in this document) can be inserted into a media content or changed (e.g. according to the determined or adjusted parameter).

The first section of the communication can be a section that is selected from an already ongoing or unaffected communication. The predetermined condition To select the section, a criterion of its suitability for a (required, previously missing, meaningful, to be processed further in the process) reaction to stimulate or evoke, e.g. a reaction of a certain type, a certain intensity, a reaction from a certain person or of a person belonging to a certain group of people or to achieve a certain diversity of several reactions.

In particular, the at least one first section of the (first) communication can be initiated by outputting first information (e.g. suitable information provided for this purpose and/or generated in the method). For example, an output of first information can be initiated or carried out on one or more first user devices or within the one or more first living spaces, which stimulates or influences communication between at least two people in the first living space. At least a first section of the communication, in particular only or predominantly only a specific first section (or section of a specific type) of the communication can be stimulated or influenced (in a specific way, to a specific extent).

The first piece of information can be information in any form. This can be e.g. visual, auditory, etc., include a specific content, style or body language content. In other words, a stimulus or incentive can be generated in the method by outputting first information, to stimulate at least one section of the communication, in particular a first section of the communication with certain characteristics or parameters, from at least a first person or (in a certain way and way or with a certain intensity, e.g. towards a certain communication goal). The second piece of information i2 (also optionally provided) can have corresponding features (e.g. related to the second person or user device).

In particular, the at least one first section of the media content can be selected according to a predetermined condition, in particular depending on its effect or effectiveness. For example, one or more of the first sections of the media content can be selected, e.g. for a specific person or for a person belonging to a specific group of people, in particular the person who (at least presumably or likely) perceives or will perceive the media content. These can be selected depending on the degree of impact or effectiveness in relation to a specific person, a person belonging to a specific group of people, in particular a person who (at least presumably or likely) perceives the media content. For example, one or more first sections of the media content can be selected from a media content to be output, e.g. from an audio or video program (radio broadcast, film, show, etc.). These can be selected in advance, e.g. a few seconds before the section of media content is output. (Specific) parameters of the sections, e.g. parameters of the effects or effectiveness of the sections, can be determined or adjusted in advance (i.e. actively changed in the process). It can be several, short first sections of the media content of about 0.01 - 5 seconds. For example, one or more first sections of the media content can be selected depending on one or more conditions regarding their (cognitive, emotional, psychological, etc.) effects or effectiveness.

For example, the first sections are selected and/or created that exceed a certain level of effect or effectiveness, e.g. at least likely to have a certain type, intensity, diversity, etc. of effect or effectiveness. For example, the one or more of the first portions of the media content may be selected and/or generated based on information about a specific person or group of people of a person who is at least likely or likely to see or will see the media content. For example, if several people (at least likely) perceive or will perceive the media content (e.g. on a family TV evening in a first living room), different first sections of the media content can be selected or changed by the parameters of the reactions of different people or people who belong to different groups of people (here: family members) to determine the respective first sections.

The second living space differs in particular from the first living space. In particular, the first stationary living space and the second living space are at a great distance or outside of an acoustic range from one another. For example, the first and second living quarters belong to different properties. Exceptionally, the at least one first living space and the at least one second living space can be rooms that are at least partially, in particular predominantly, acoustically separate from one another, eg rooms in the same house or in the same apartment. Also can himself the first living space and the second living space have partially overlapping areas, eg room areas. In the method, data based on the parameters from a large number of the first living spaces can preferably be processed. The parameters of the (respective) communication messages can be determined or adjusted in one or in a large number of the second living spaces.

The first user device is in particular a user device operated or operable within the first living space. The second user device is in particular a user device operated or operable within the second living space. When the first living space is mentioned, this can mean the first user device or the environment of the first user device. When the second living space is mentioned, this can mean the second user device or the environment of the second user device.

In particular, the one or more first user devices and the one or more second user devices or the surroundings of the first user device and the surroundings of the second user device are outside of acoustic audibility. The method can also be used without a more or less direct or unaltered transmission of the respective (first or second) content to be output (or reproduced) audibly and/or visually from a first user device to a second user device (or from a second user device to a first user device) are executed.

In other words, the method can also be executed without a transmission of content that is to be output or prevails in the environment of the respective user device, in particular without a one-sided, mutual transmission or mixing of the auditory or visual content (to be output in each case). In particular, one or more (auditory, visual) content to be output on the at least one second user device can belong to a preselected set of (at least potentially or presumably usable, more useful, suitable for output with at least one parameter) auditory or visual content.

A (same) user device can be used in the method at least twice, at certain, e.g be or be treated as such. A (same) user device can be the first user device and the second user device in the method simultaneously, quasi-simultaneously (i.e. e.g. for alternating short time intervals) or alternately. In other words, the at least one first user device and the at least one second user device can simultaneously or quasi-simultaneously execute their respective roles in the method at least temporarily or change or exchange them (several times, e.g. regularly or event-controlled). The same applies to or relates to the corresponding method steps and corresponding persons or devices.

In particular, sections or content of the communication message can differ (entirely or predominantly) from the sections or content of a direct telecommunication between one or more first user devices, people or living spaces (substantially), in particular be (completely) different sections or content. For example, a content, form and/or perception channel of the (resulting) communication message can differ at least partially, predominantly, in particular completely from the content, form and/or input channel of the specification.

In the method, only or predominantly an adjustable, selectable (e.g. desired or permitted by a first or second person, persons in the first living space or in the second living space), and/or adaptive, influencing (or ability to be influenced) of the communication message or only or primarily an adjustable, selectable (e.g. desired or permitted by a first person or a second person), taking into account (e.g. respective, different, selectable) first parameters for influencing the communication message on the second user device or in the second living space become. Two or more different first parameters to be taken into account can be selected individually or at least partially independently of one another, in particular set (e.g. through the settings or automatically).

For example, a measure of the (e.g. applicable) interpretation of the specification of the one or more first persons, in particular an (e.g. average and/or at most) applicable interpretation framework (e.g. through a setting, operator action or automatically) can be changed, in particular selected or adjusted.

For example, a first number of types of the first parameters can be selectable, which are taken into account or essentially disregarded (should, may) for determining or adjusting the second parameters (on the second user device or within a second living space), and/or a second Number of types of the second parameters of the communication message that are (should, may) be determined or adjusted on one or more second user devices or within the one or more second living spaces. Furthermore, a part, eg a portion of the sections, a portion of the content, the communication message or a program comprising one or more communication messages can be selectable, whose parameters (eg for output to a specific second user device or specific second living space) are determined or (should, may) be adjusted and/or essentially remain unchanged or only be changed as a result of the change in other parts or sections.

Furthermore, a factor, effect factor or intensity, in particular a limit value of the influencing of the at least one communication message, can be determined or, e.g., adapted adaptively. For example, a (first, further) user device can be set up to change the factor, effect factor or intensity, in particular a limit value of the influence, e.g. depending on a predetermined condition and/or device settings. The method is preferably carried out in such a way that no voice signal, no image signal and/or no unchanged information or no information of a specific (selectable) type is transmitted from the at least one first user device or first living space to the at least one second user device or second living space, output there or evaluated there.

The method can also be used without transferring parts (e.g. content or sections) of the specification, in particular two or more interrelated parts of the specification, e.g. without transmitting explicit content or unchanged sections of the specification or other communication content, between the first User device and the second user device are executed. For example, transmission of parts of the specification, in particular in an unchanged or explicit form, can also be prevented, in particular according to at least one criterion (e.g. logic) and/or by means of the at least one correspondingly trained and/or operated neural network. For example, such a criterion or one or more types of the first parameters that are to be determined and/or taken into account when generating the communication message and/or the types of parameters of the communication message that can or should be determined or adjusted (e.g. by one or more first persons or one or more second persons) changeable, in particular adjustable.

For example, a factor, e.g. an influencing factor, effect factor or intensity, in particular a limit value relating to the influence, effect or intensity on the resulting communication message or the resulting communication message can be changeable, in particular adjustable. Different factors, effect factors, intensities or limit values can be set for different types of parameters. For example, it can be set that the content, in particular a factual aspect and/or appeal of the specification of the first person, should not be changed, changed as little as possible or to a certain or limited extent, in particular should be interpreted. The linguistic form, a body language aspect or a selectable type of parameter of the communication message can (nevertheless) be newly generated or interpreted to a large extent compared to the default.

For example, the specification of the at least one first person can relate to an effect and/or reaction that is aimed for (in particular also to be understood: to be achieved) (for one or more second persons or as a result, overall). For example, the specification characterizes a qualitative and/or quantitative goal or target value of the effect to be achieved or the reaction to be stimulated. For example, different desired effects or reactions can be specified or determined for different second persons (e.g. within a number of second persons or in a communication group). This can also be aimed at or achieved with the same or similar information to be transmitted, factual aspects, wording, form of the communication message.

For example, the desired effect or reaction can be a specific number of (specific) responses, (specific) actions, a specific trend, a (e.g. statistical or majority) change of opinion and/or decision, e.g. in relation to a number of people, e.g in relation to a communication group. Thereupon, a pre-selection of second persons (e.g. certain second persons and/or certain groups of persons to which second persons belong), and/or determining or adjusting one or more communication messages, in particular Special different communication messages or variants of a communication message (which are generated, for example, based on a specification) to (possibly different) second people or groups of people) take place. This can be done in such a way that (eg taking into account the respective second parameter) a desired effect and/or reaction, in particular a parameter of the effect or reaction (eg as precisely and/or reliably as possible) is achieved.

Multiple effects (e.g. to be achieved in each case) and/or reactions (e.g. to be stimulated in each case) can preferably be determined in relation to several different people (e.g. certain people, people belonging to certain groups of people, a certain number of people, people from a communication group), which would at least presumably lead to an effect or reaction (e.g. at least presumably and/or at least approximately) being achieved (e.g. aimed for overall, corresponding to a target value), in particular overall and/or related to a number of people (e.g. a communication group). becomes.

For example, an effect or reaction (e.g. as a goal or target value by means of the specification) that is abstracted by one or more specific people, is superordinate to one or more people, or emerges in relation to specific people, can be specified, aimed for, or achieved. For example, an abstract, superordinate or emergent effect or reaction, in particular a pattern specified, can be aimed for or achieved with regard to the individual or specific persons, communication messages, effects on individual persons and/or reactions of individual or specific persons. In particular, the goal or target value of the effect or reaction can relate to a statistical variable (over several, e.g. a large number of people, communications). In particular, the (individual or specific) persons do not have to be aware or aware that such an effect or reaction is expressed or forms a (e.g. overarching, emergent) pattern or statistical variable. A statistical variable can be or include a frequency, in particular for certain terms, names, designations in the communication messages or in reactions to communication messages. For example, one or more communication messages can be generated (e.g. in priority and/or according to a statistical goal or target value) and/or reactions to one or more communication messages can be stimulated, which comprise certain terms, names, designations.

The effect or reaction can correspond to a (e.g. superordinate, emergent) trend and/or promote or inhibit a (e.g. superordinate, emergent) trend (e.g. according to the goal or target value). For example, each (individual or specific) person does not have to reveal, open up or understand their respective role in the trend (generated or influenced as a result).

Several communication messages can then be generated (e.g. based on one or the same specification), which (overall) aim to achieve, in particular, achieve an abstract or emergent effect or effect related to a number of people (e.g. a communication group). reaction are determined. In particular, the effect or the reaction can be reduced, e.g. to the desired extent, e.g. towards a target value, changed towards a specific target value or kept in the target value (e.g. in a predetermined value range). For example, the at least one neural network is trained and/or operated to determine or adapt the parameters of a large number of communication messages (to a large number of different user devices) in such a way that a certain (e.g. higher-level, abstract or emergent) effect on individual or certain persons or reaction is achieved. One or more parameters of (e.g. correspondingly defined, related to several people) effects and/or reactions, or deviations from a target value, can be used to train the at least one neural network.

For example, one or more parameters of the communication message can be determined or adjusted in such a way that a specific effect, in particular one that corresponds to a goal or target value, has on at least one second person (e.g. a specific influence, a change in the state of the personality model, a suggestion from a cognitive process or an action, etc.) is exercised. For example, the at least one neural network can be trained and/or operated to determine or adapt one or more parameters of the communication message in such a way that a specific effect, in particular one corresponding to a goal or target value, is exerted on at least one (respective) second person and/or a a specific effect on at least one (respective) second person, which in particular corresponds to a goal or target value, is stimulated. The effect or reaction (eg a parameter of the effect or reaction to be achieved) can, for example, be at least partially independent of one, in particular objective, factual information in the communication message. In other words, a (eg predeterminable) effect or reaction can be at least partially independent or decoupled from the content, in particular the explicit information, factual aspect or wording of the communication message. For the same explicit information, factual aspect or wording (e.g. for different second persons), different desired effects or reactions to be stimulated can be predetermined or achievable or can be predetermined or achieved.

In the method, at least two communication messages or two different contents of a communication message can be sent depending on the one or more first parameters of the communication and/or first parameters of the reaction (in each case) of at least one person to media content on the different first user devices or within two or several different first living spaces (or in each case a number or specific groups of first user devices or living spaces).

The operation takes place in particular with a neural network that is trained at least to a certain degree. For example, the operation takes place with the data (e.g. learning data, a checkpoint) of a neural network that has been trained (e.g. on the basis of past time intervals or data sections from the past). Depending on the variant of the method, the method includes or is the training of the neural network (then it is to be understood as "the neural network is being trained") and/or the operation of the already at least partially trained neural network (then it is to be understood as "the neural network is trained").

The input layer of the neural network can be controlled (during operation) depending on the (e.g. for a current time interval) determined (first and/or second) parameters and/or (e.g. for one or more future time intervals) predicted (first and/or second) parameters, and/or from the currently determined or predicted effect and/or reaction and/or from the specification of the one or more first persons or from the target value of the effect and/or reaction.

For example, the at least one neural network can be trained and/or operated to reduce a deviation (e.g. a measure of the deviation) from a target or target value (e.g. related to the effect to be achieved or the reaction to be stimulated). For example, the at least one neural network can be trained and/or operated to reduce a deviation from the target or target value (e.g. possible, probable, predicted and/or statistical) deviation from a (e.g. specified) target or target value. There may be deviations or extent of the deviations from one or more communications made in the past (e.g. from a database) and/or specific communication messages or messages selected according to specific criteria. The deviations or communication messages can be those that were generated with or without using the neural network or with or without automatic support. These can come from one or more (conventional) telecommunications or communications made or created predominantly by people. For example, data for training the at least one neural network can be generated depending on (e.g. selected according to certain criteria) sections of telecommunications.

For example, supporting the communication or determining or adjusting a parameter of at least one communication message depending on the trained neural network is to be understood in particular as determining or adjusting a parameter of the communication message depending on a neural network which is set up depending on the data of the trained neural network and/or updated.

Alternatively or additionally, the at least one neural network can be trained and/or operated depending on the first parameters, the second parameters and/or parameters of one or more (e.g. previous) communications between the first and second persons. Depending on the respective measure of success and/or deviation from the goal, it can be trained by several communications that have been prepared, supported or arranged. The at least one neural network can be trained and/or operated depending on parameters of the same (first and/or second) people and/or depending on parameters of other (first and/or second) people belonging to the same or similar groups of people.

The at least one neural network (to be used, for example, during operation) can be understood in particular as its characteristics or data, in particular topology, learning data, checkpoint, weight information (in particular also to be understood as connection weights), bias terms. For example, can the at least one neural network (eg to be used during operation) can be interpreted as characteristics of or data on the basis of the at least one (eg at least partially trained) neural network. For example, when the at least one neural network is trained, the data is generated on a computing unit in order to then make it operable on one or more other computing units, in particular in (eg respective, specific) user devices or in the computing unit R2.

The term "training" is to be understood in particular as machine learning, non-rule-based learning and/or deep learning or the execution of machine learning, non-rule-based learning and/or deep learning. The training can be supervised or unsupervised training. Training may include facilitating. The monitoring or moderation can be carried out depending on the parameters determined in the process. For example, the moderation can take place depending on the extent to which a target value has not been met (eg in the case of different people, groups of people, communication groups, communications). In particular, a large number of diverse or different individual parameters from a large number of (e.g. communications by the first person and/or the second person or the at least partially simulated) communications (e.g. more than 10, 10 ² , 10 ³ , 10 ⁴ , 10 ⁵ , 10 ⁶ , ...) can be used to train the neural network. Furthermore, reference is also made to the features of the handling of neural networks, which are known per se and which can be used appropriately in each case.

When training and/or operating the at least one neural network and/or as a further parameter for determining or adjusting the one or more parameters of the one or more communication messages, further parameters corresponding to the first parameters and/or second parameters (e.g. parameters described in this document) are processed. The term “corresponding” is to be understood in particular as corresponding in terms of time, space and/or causality, in particular being in a connection in time, space or causality.

At least one input of the neural network can be controlled depending on one or more first parameters. For example, the input of the neural network can be controlled depending on one or more first parameters of the communication message, which relate to the current time interval. The one or more first parameters can influence the determination or adaptation of the communication message (e.g. the creation of the draft of the communication message, interpretation of the specification, etc.), which is effective almost in real time, to a certain extent.

The input layer or the output layer are the inputs or outputs that are used as input or output in the respective use. In this sense, the at least one neural network can be trained in both or more directions (e.g. to generate one or more communication messages on the second user device depending on the first parameters and to generate one or more communication messages on a first user device depending on the second parameters) and /or operated.

For example, one or more central neural networks (e.g. trained and/or operated in the processing unit R2) can be used for (each) several of the first user devices and/or the second user devices.

The method can be carried out with a first neural network DNN1 (provided in a first user device or connected to it), with a second neural network DNN2 (provided in the second user device or connected to it) and/or with a (third) central (or . as "Z" = "central") neural network DNNZ can be realized. A first neural network DNN1 can be implemented, trained and/or operated in the respective first user device. The second neural network DNN1 can be implemented, trained and/or operated in the respective first user device. The at least one neural network DNNZ can be implemented, trained and/or operated in the computing unit R2. This can be used to operate at least one second user device depending on one or more first user devices.

In a further variant, the first, second and/or the central neural network or the neural network provided in the processing unit R2 are interconnected and/or form part of a further neural network.

Alternatively or additionally, a large number of the first neural networks DNN1, the second neural networks DNN2 and/or neural networks DNNZ provided in the spaced-apart computing unit R2 can be provided. The training of the at least one neural network can relate to each of the neural networks or a combination or interconnection of these. If necessary, these can be operated in parallel. The operation of the at least one neural network can include or be setting up the at least one neural network depending on the data from at least one corresponding neural network or a neural network that has been trained for the corresponding application.

Depending on the at least one neural network (in particular also to be understood as being controlled by a neural network), the communication message can be generated which, in relation to other parameters or content, is not the first communication, not the first media content or context in the environment of the corresponds to the second user device (or depends on it only to a desired extent, if necessary indirectly). This can be understood in such a way that the communication message does not or does not have to correspond to any (direct, conventional) communication, in particular telecommunication (in a conventional sense) between the first persons and the at least one second person. Rather, the communication message (according to one or more features of the method) can be generated or adapted for the at least one second person (e.g. according to a trained dependency on the first parameters and the second parameters).

At least one (e.g. further) input of the neural network can be controlled depending on one or more second parameters. The communication message can be generated that depends on the environment of the second user device with regard to other parameters or content, e.g. on the one or more second communications, on the second context, history, etc. in the environment of the second user device. In this way (to a desired extent) the first parameters (e.g. by one or more remote first persons) can influence the resulting communication message on the second user device (for the at least one second person).

The at least one neural network can preferably be trained and/or operated, influencing the parameters of the communication (to be supported) or the communication message (to be generated) (e.g. compared to a specification of one or more first persons) according to a goal or towards a certain target value, e.g. in relation to the desired effect or reaction.

Parameters of different types (also to be understood as data characterizing the respective parameters) are preferably provided at respectively different inputs of the (respective) neural network.

The first parameters and/or second parameters of different types (e.g. described as different in this document) are preferably processed together, in particular by the same neural network or by neural networks operated together. This can relate to both training and operating the neural network. Certain correlations, cross-dependencies and/or patterns between the parameters of different types can be trained and/or taken into account during operation. For example, two or more than two kinds of parameters are processed together. For example, different inputs of the at least one neural network are controlled with data characterizing the (first and/or second) parameters of different types in each case.

Alternatively, preferably in addition to generating the at least one communication message, the at least one neural network can be trained and/or operated to operate a personality model or avatar. This can be done by controlling one or more (dynamically changeable) features of a personality model or avatar depending on the at least one neural network. In this context, for example, one can speak of the training or operation of the personality model or avatar.

For example, the at least one neural network is trained and/or operated to generate support information, coordination information and/or feedback and/or report information.

The result of the support, the coordination, and/or the feedback and/or the report can be taken into account when training the at least one neural network.

For example, the at least one neural network is trained and/or operated to generate support information that is as effective as possible. For example, support information that later turns out to be particularly correct and/or (e.g. helpful).

For example, the at least one neural network is trained and/or operated to generate the most effective possible coordination information. For example, coordination information that leads to a quick and/or correct coordination between several first persons with regard to the specifications for a communication message.

For example, the at least one neural network is trained and/or operated to generate feedback that is as effective as possible. For example, feedback that leads to an appropriate change that serves a communication goal in particular.

For example, the at least one neural network is trained and/or operated to generate report information that is as valuable as possible. For example, report information that reflects the course of the communication, action, action in connection with the communication as informatively, precisely, factually and entertainingly as possible.

For example, training data for training the at least one neural network is generated depending on an evaluation of the support information, coordination information and/or feedback and/or report information according to one or more criteria and/or by the persons perceiving them.

• - die Reaktion der einen oder mehreren ersten Personen auf eine Unterstützungsinformation, auf die Abstimmungsinformation und/oder Feedback und/oder Reportinformation; und/oder
• - das Ergebnis der mit der Unterstützungsinformation, Abstimmungsinformation und/oder Feedback und/oder Reportinformation unterstützten Teils der Kommunikation;

For example, when training the at least one neural network, information can be taken into account that is characteristic of:

• - the reaction of the one or more first persons to support information, to the voting information and/or feedback and/or report information; and or
• - the result of the part of the communication supported with the support information, voting information and/or feedback and/or report information;

Such information, in particular in an objectified form (e.g. as an objectified parameter) can be processed when training the at least one neural network, in particular when determining backpropagation, in particular error backpropagation (e.g. for rewarding and/or punishing the at least one neural network). become.

For example, the at least one neural network can be trained (e.g. to generate support information, coordination information and/or feedback that is as effective as possible and leads to an improved result). The training can be at least partially related to specific (e.g. one or more first and/or second) persons, combinations of persons, roles of persons in the communication (e.g. as first and/or second persons respectively), one or more (e.g. first and/or second) contexts, situations, scenes, states, emotions, intentions, patterns of the first parameters and/or second parameters, etc. The result of the training can be specific and/or optimized for one or more of the circumstances listed. The at least one neural network can be trained and/or operated to generate the support information, coordination information and/or feedback and/or report information in a person-specific, person-group-specific, situation-specific and/or context-specific manner.

For example, deviations from a target or the target value (e.g. in the case of a large number of time intervals, changes, communication messages, etc.) can be determined in the method and the at least one neural network can be trained depending on the deviations determined. The deviations can be used to determine the backpropagation, in particular error backpropagation, or to reward and/or punish the at least one neural network.

Processing of the first parameters and the second parameters (also to be understood in particular: the sections of the first parameters and sections of the second parameters) can be carried out. This may include applying various predetermined algorithms (eg, logic, functions, characteristics, coefficients of a predetermined formula, etc.) to the first parameters and/or second parameters. This can include or be a comparison of the first parameters (or data derived from the first parameters) and the second parameters (or data derived from the first parameters). For example, a comparison of the first parameters and the second parameters can include determining a correlation and/or a first pattern in the first parameter, a second pattern in the second parameter, a comparison of the patterns and the like. The processing is preferably to be understood in such a way that at least one processing step is applied both to the first data based on first parameters and to the second data based on the second parameters. In particular, the first parameters and the second parameters (eg not or not only simultaneously, but also) are processed together and/or among one another. The processed data can be used to train the at least one neural network and/or to operate the at least one neural network (also to be understood in particular: to operate a functionality implemented with the neural network). For example, the at least one neural network can be trained depending on, in particular processed, first parameters, the second parameters and/or parameters of one or more (e.g. previous) communications between the first and second persons and/or the one or more (e.g. previous) specifications and/or operated.

Determining or adjusting one or more parameters of the communication message can depend both on a result of processing the first parameters and/or the second parameters and/or one or more specifications (individually, so to speak) and (preferably) depending on the processing of the information listed (in any combination, in particular together, with one another and/or dependent on one another).

When training the at least one neural network as a function of the first parameters and the second parameters, optimization can take place for at least two of the communication partners (e.g. first persons and certain second persons associated with certain or certain groups of people), in particular in the specific combination. In this way, the person-specific or group-specific perception, processing or evaluation of information (e.g. certain variants of communication messages) can be taken into account particularly effectively. When the at least one neural network is operated as a function of the first and the second parameters, current states, emotions or contexts can be better taken into account, in particular in the specific combination.

The determination or adjustment of the one or more parameters of the communication message can be carried out in the method (alternatively or additionally) according to (in particular also to be understood as: according to) at least one (pre)determined dependency, in particular according to a mathematical relationship. The at least one (pre)determined dependency can be characterized (e.g. explicitly or implicitly) mapped in a mathematical context or be part of a mathematical context. The predetermined dependency can include one or more linear and/or non-linear functions, logic, rules, etc. that are at least partially stable. For example, the mathematical context can be a (e.g. computer-implemented) mathematical function. The mathematical relationship can (e.g. also in the course of the method, possibly depending on the situation or dynamically) be changed, in particular adapted. For example, the mathematical relationship (e.g. to generate a specific, concrete, current communication message and/or over several operating cycles, in the course of the method e.g. to achieve better results overall) can be determined or adjusted. The mathematical relationship can, for example, be determined or adjusted depending on the effect achieved in each case by the communication message or on the respective reaction of the second person and/or on the goal or target value of the effect or reaction (concerning the respective person).

The mathematical relationship can map at least two (first and/or second) parameters, in particular parameters of at least two different types, to at least two (first and/or second) parameters, in particular parameters of at least two different types.

For example, the parameters of the communication message can be determined or adjusted as a function of a qualitatively and/or quantitatively determined first parameter and/or second parameter (eg of a plurality of finely graded intermediate values of the respective parameters). The one or more parameters of the communication message can be determined or adjusted, preferably dynamically, in a qualitative and/or quantitative manner. A qualitative and/or quantitative parameter of the communication message is preferably controlled. For example, one of more than two or three variants for generating the communication message (preferably dynamic) can be set or ver changeable. For example, parameter values of one or more parameters of the communication message are determined or adjusted in fine steps.

For example, the mathematical relationship can characterize or represent the at least one specific dependency or mathematical function, according to which the one or more parameters of the communication message are determined or adjusted (also to be understood in particular: according to the one or more pieces of control information for generating the at least one communication message be determined or adjusted depending on the one or more first parameters and/or second parameters.

The at least one neural network can be trained to map a large number of different dependencies (e.g. between parameters of different types) according to which one or more parameters of the communication message (e.g. the draft of the communication message or the communication message that is finally output) are determined or adjusted. There can be a large number, e.g. more than 10, 50, 100, 1000 of different dependencies. These dependencies can be used directly or indirectly when operating the system or can influence the result. A parameter of the at least one communication message can be determined or adjusted as a function of the trained neural network. This is to be understood in particular as the generation of the communication message with or by means of the neural network. The one or more parameters described in this document can be determined depending on the output layer of the neural network or the (corresponding) communication message (e.g. directly or indirectly) can be generated depending on the output layer of the neural network.

Determining or adjusting the parameters (e.g. of the communication message) is to be understood in particular as determining appropriate control information for generating the (corresponding) communication message that has the desired parameters and/or a specific effect or reaction (e.g. in a person, a specific person or a person who belongs to a certain group of people) stimulates, stimulates or should generate.

Determining or adjusting the parameter of the communication message differs in particular from an explicit, “hard” and/or rule-based control. Preferably (at least or at most) a certain degree (e.g. trained in the method) of the influence or influence of certain first parameters can be exerted on the one or more specific parameters of the communication message (to be generated).

Several, in particular a large number, of such (preferably different) measures can apply to certain (different) types of parameters. In particular, direct dependencies, cross-dependencies, mutual dependencies, interactions, etc. can be identified in the mathematical context (e.g. mapped explicitly or implicitly) or trained in the at least one neural network and/or used in operation.

For example, one or more measures of the influences can be identified (implicitly or explicitly) or trained together in the mathematical context or in the at least one neural network. These can be (e.g. visible or not visible, traceable or not traceable), e.g. stored in one or more hidden layers (e.g. hidden layers) of the neural network (possibly explicitly or implicitly) and/or made executable by the neural network or . be carried out).

The extent of the influences (in short: influences) can be identified by means of coefficients, extents of the influences, corresponding weightings, weight information, etc. Such dependencies can be stored, trained and/or taken into account (e.g. applied) during operation between the different first parameters and/or between different second parameters and/or between certain first parameters and certain second parameters.

For example, measures of the influences can be determined and taken into account in a characteristically specific (unilateral and/or mutual) dependency of at least two of the parameters described in this document, in particular with regard to the effect of the communication message or the reaction of the at least one second person to the communication message. They can be measures of the influences that (as such) are independent of concrete, e.g. current parameter values or are abstracted from a concrete situation.

It can be provided that (also individual) of the influences (eg depending on the expressed or recognized wishes, preferences, operating history and/or settings of the respective first person or the second person or automatically) are changed. For example, the mathematical relationship or the at least one neural network (eg with regard to the extent of certain influences) can be controllable or is controlled.

The mathematical relationship or the trained first neural network or as a result the one or more neural networks can be a (e.g. predefined and/or trained) mathematical law, rule, regulation, form and/or relation between (each) one or more determined first parameters and/or second parameters (also to be understood as corresponding values of the respective parameters), in particular the parameters of a specific type described in this document or different specific types, and one or more parameters (to be determined and/or adapted) of the at least one mark the communication message.

For example, the mathematical relationship trained in the neural network (e.g. determined or formed during training) can identify, in particular represent, a mathematical law, rule, regulation, formula and/or one or more (explicitly or implicitly expressed) relation, according to which the one or several parameters of the communication message are generated depending on one or more of the first parameters and/or second parameters (to be understood also: to be generated).

The mathematical relationship can (in a general case) characterize, for example, parameters, coefficients, weight information or so-called bias terms for one or more, in particular specific, equations, polynomials, a decision matrix, or a (possibly executable) simulation. This is in particular an appropriate, e.g. dependent on specific, predetermined or selectable goals, target values, optimization criteria, defined, set up or determined, in particular trained or learned mathematical relationship. For example, the mathematical relationship can only or predominantly characterize a mathematical relationship between the said parameters or mathematical operations to be carried out on the parameter values (e.g. proportions, factors, deviations, taking into account certain one-sided or mutual dependencies, cross-dependencies, interrelationships, or the corresponding weights). , and do not represent the (absolute) parameter values or only in a reduced form.

For example, the mathematical relationship can characterize several measures of the influences. In the case of a mathematical relationship that includes a neural network or is implemented as a neural network, the extent of the influences can be characterized, in particular represented, by the weight information and/or bias terms, for example. For example, the aforesaid mathematical relationship is a result or an intermediate result of non-rule-based learning carried out (e.g. in a large number of the operating cycles of the method). The mathematical relationship can, for example, be essentially unchangeable or predetermined (static, so to speak) within one or a few operating cycles of the method (e.g. when generating a few consecutive communication messages) or (e.g. depending on the first parameters, the second parameters and/or the effect on the at least one second person or the reaction of the at least one second person) can be changed.

The mathematical relationship or the at least one neural network can be trained over the course of several operating cycles, in particular automatically, depending on a result that results in each case, e.g. in an operating cycle, time interval, e.g. a day, week, month, and/or used to operate the method . This can therefore be changeable. In particular, the method includes non-rule-based learning in which the one or more dependencies between the input layer and an output layer of the neural network are determined or adapted. For example, the method includes learning (in particular also to be understood as training) of the system according to the invention and/or updating (e.g. an expedient update or an update corresponding to a specified goal) of the system according to the invention.

• Einen oder mehrere Einflüsse (z.B. ein oder mehrere jeweilige Maße der Einflüsse bzw. einer jeweils gewünschten bzw. zweckmäßigen Einflussnahme) eines oder mehrerer ersten Parameter, insbesondere diverser Kombinationen des einen oder mehreren ersten Parameter und/oder eines oder mehrerer zweiten Parameter auf die Wirkung der zumindest einer Kommunikationsbotschaft bzw. auf die Reaktion auf die Kommunikationsbotschaft. Beispielsweise kann eine hohe Vielzahl der Einflüsse trainiert werden, nach welchen die zumindest eine Kommunikationsbotschaft abhängig von einen oder mehreren ersten Parametern und/oder zweiten Parameter abhängig von einer vorgegebenen (z.B. bestimmten bzw. bestimmten Kriterien entsprechender) Wirkung und/oder Reaktion zu erzeugen ist. Diese Einflüsse können jeweils personenspezifisch, z.B. spezifisch für bestimmte Personen bzw. spezifisch für bestimmte Personengruppen trainiert und/oder im Betrieb ausgeführt werden. Insbesondere können beim Trainieren die Gewichtsinformationen bzw. Bias Terms bestimmt oder angepasst werden die für die Gewichtung unterschiedlicher ersten Parameter bzw. der zweiten Parameter, Erkennung von Mustern zwischen den Parametern unterschiedlicher Arten bestimmend sind. Beispielsweise kann:
  • Ein Einfluss eines oder mehrerer erster Parameter und/oder zweiter Parameter, insbesondere diverser Kombinationen der ersten Parameter und/oder zweiter Parameter auf die (z.B. zum Anregen bestimmter Reaktionen zweckmäßiger) zu erzeugenden erste Information und/oder zweiter Information trainiert werden. Dabei kann das Ermitteln bzw. Veranlassen der ersten Information bzw. der zweiten Information trainiert und/oder im Betrieb beeinflusst werden. Beispielsweise kann dies erfolgen um die erste Information bzw. die zweite Information am jeweils selben Anwendergerät, und/oder an einem anderen ersten Anwendergerät (z.B. unmittelbar oder zusammen mit der Ausgabe einer Kommunikationsbotschaft) zu erzeugen.
  • Ein Einfluss eines oder mehrerer erster Parameter und/oder zweiter Parameter, insbesondere diverser Kombinationen der ersten Parameter und zweiter Parameter auf die Verarbeitung, Interpretation und/oder Bewertung der Kommunikationsbotschaft durch die zumindest eine erste Person.

For example, the at least one neural network can be trained to determine one or more conditions listed below and/or to use them in the (further) operation of the system or the course of the method:

• One or more influences (eg one or more respective measures of the influences or a respectively desired or expedient influence) of one or more first parameters, in particular diverse combinations of the one or more first parameters and/or one or more two th parameter on the effect of at least one communication message or on the reaction to the communication message. For example, a large number of influences can be trained, according to which the at least one communication message is to be generated depending on one or more first parameters and/or second parameters depending on a predetermined effect and/or reaction (eg specific or corresponding to specific criteria). These influences can be trained in a person-specific manner, for example specifically for certain people or specifically for certain groups of people, and/or carried out in the company. In particular, the weight information or bias terms can be determined or adapted during training, which are decisive for the weighting of different first parameters or the second parameters, recognition of patterns between the parameters of different types. For example:
  • An influence of one or more first parameters and/or second parameters, in particular various combinations of the first parameters and/or second parameters on the first information and/or second information to be generated (eg more expedient for stimulating certain reactions) is trained. The determination or initiation of the first information or the second information can be trained and/or influenced during operation. This can be done, for example, in order to generate the first information item or the second information item on the same user device in each case and/or on another first user device (eg directly or together with the output of a communication message).
  • An influence of one or more first parameters and/or second parameters, in particular various combinations of the first parameters and second parameters, on the processing, interpretation and/or evaluation of the communication message by the at least one first person.

In addition, one or more other specific mathematical relationships or calculations corresponding to the mathematical relationships (in particular automatically or not automatically adaptable in the course of the method) can be carried out in the method. The at least one further mathematical relationship according to which (or depending on which) the determination or adaptation of the parameters of the communication message is carried out can, but does not necessarily have to, be trainable or learnable or be trained or learned in the method. For example, a processing (e.g.: pre-processing) and/or a preparation for the output (e.g.: post-processing) of the respective parameters (e.g., so to speak, before and/or after processing by the at least one neural network) can be carried out according to certain (predetermined or dynamically variable) mathematical connections take place.

In particular, the method can include the execution of a learning process or training process (in particular using a large number of parameter sets or from a large number of operating cycles). This can be performed in relation to one or more user devices, people, groups of people, communications. During training and/or operation, further information on the user devices (e.g. further applications on the respective user device), people, groups of people, communications can be taken into account. A goal, in particular the most important goal of the at least one training (also to be understood in particular: learning process) can be a resulting parameter or a specific criterion in relation to the communication message and/or the, in particular subjective, effect of the communication message or reaction to the communication message be (or be provided or be definable or be defined).

This means that the at least one neural network can be trained and/or operated in order to produce an effect and/or reaction that is particularly subjective and/or specific to a certain person or group of people, in particular an effect or reaction that corresponds to specific (e.g. adjustable or specifiable) criteria Stimulate, cause or evoke a reaction, e.g.

For example, the training of the at least one neural network that can be used (e.g. at the same time or later) and/or the execution of the method can be based on the resulting effect of the communication message on people (e.g. specific people or people belonging to specific groups of people) or on reactions to be stimulated by the people ( eg certain persons or persons belonging to certain groups of persons). Different targets or target values or limit values for different effects, reactions and/or groups of people can be provided (eg marked as a specification). For example, at least one neural network can be trained to generate the communication message in a form that is more understandable or effective for the child, and/or a certain effect with the communication message (the greatest possible approval and/or enthusiasm) for example in children and/or to avoid strong emotional effects on sick or elderly people. Alternatively or additionally, an effect and/or reaction predetermined by the first person, for example, can be aimed for, in particular brought about, by another means (changed in the method) (eg communication channel, mechanisms of action, form) of the communication message.

For example, when setting up, in particular learning or training the mathematical relationship or neural network, one or more measures of the influences, in particular an influence of a specific parameter for generating the communication message (e.g. influence, interaction of one or more specific parameters described in this document) , are determined and/or trained on a parameter of the effect or reaction, in particular given specific parameter values of the second parameter. The one or more measures of the influence of certain parameters can be determined, optimized and/or trained, e.g. depending on the historical data and/or over a number of operating cycles of the method.

For example, reactions stimulated with the first information or changes in the reactions of the one or more first persons can be caused in the method (e.g. comparatively small, infinitesimal) and a resulting change in the one or more (then measured) first parameters can be determined and taken into account.

For example, the trained neural network can have the rules, logic, formulas, coefficients or topology, weight data or bias term of a neural network determined during training (e.g. constant per se during an operating cycle). These can (each) form a so-called checkpoint. These can differ for different communication messages, (second and, if applicable, first) user devices, living spaces, people and/or desired goals, e.g. target values for the effects.

The at least one or more (a first, a second or a central) neural network can each be specific or specifically designed, operated and/or trained. For example, parameters of the mathematical relationship that are sometimes roughly or randomly selected can initially be trained or optimized when the steps of the method are carried out multiple times. The mathematical relationship or the weight data, bias terms, topology of the neural network is preferred if the steps of the method are carried out multiple times, in particular to the determination of an effect achieved or the reaction (on the second user device), e.g. to a change a parameter of the effect of the communication message on the at least one second person or change in the person's reaction is changed and/or updated.

The at least one neural network can be trained at least partially, in particular only or predominantly automatically, during the operation of a neural network that has already been at least partially trained, or in a separate process. For example, the invention includes a corresponding method for training the neural network and/or a method in which the trained neural network is operated. Operating includes, for example, active user operation using the neural network according to a feature of the invention. The method may also include both of these methods, e.g., performed simultaneously, sequentially, or alternately.

The training can be carried out, in particular in several phases, over a long period of time, over several executions or operating cycles of the method. The method can include a change, in particular a long-term, slow update comprising a large number of operating cycles, of the mathematical relationship or of the at least one neural network as a function of a large number of the parameters described in this document. In particular, the mathematical relationship or the neural network can also be a dependency, e.g. an appropriately adjustable or set or trained one, on a time variable and/or on an accumulation of certain parameters (values), on certain patterns of certain parameters (e.g. value patterns, change functions, Identify (or include) patterns of change.

Furthermore, the mathematical context or at least one neural network can be trained and/or operated, an association rule, association logic, in particular (each with different strengths), (association) assignments between various parameters (values), e.g. topics, words, choice of words, to recognize and/or apply or control stylistic forms of communication, sentence structures, voices, aspects of the communication messages (e.g. self-disclosure, appeal, factual aspect, relationship aspect), linguistic parameters and the like.

Furthermore, the mathematical relationship or the at least one neural network can recognize a (specific, e.g. at least to be observed) measure of the difference between topics, words, choice of words, stylistic forms of communication, sentence structures, voices, aspects of the communication messages, linguistic parameters and/or to control.

In one example, a difference can be effected between the parameters of at least two communication messages or several variants of a communication message that are generated, for example, in response to the same or the same specification. For example, a certain degree, in particular a minimum and/or maximum, of the difference between at least two communication messages or several variants of a communication message is effected. In doing so, repetition and simplisticness (which would otherwise probably arise) can be reduced. Rather, as a result, communication messages can be generated that are perceived as imaginative, individual, and/or with a certain amount of surprise.

Alternatively or additionally, the mathematical relationship or the at least one neural network can generate one or more so-called (possibly a specific) biosociation or a biosociation rule. For example, the at least one neural network can be trained and/or operated to generate a communication message in such a way that it forms a bissociation with a communication and/or section of the media content captured by means of a first user device and/or by means of a second user device.

For example, at least one neural network can be trained and/or operated to determine and/or apply a (respectively appropriate) association rule. For example, the at least one neural network can be trained to respond to a communication and/or media content in the vicinity of one or more user devices and/or to that in the vicinity of the at least one second user device with a biosociation. In other words, the at least one neural network can be trained to generate information that is as unsuitable as possible (to the determined first parameters and/or second parameters).

In a further example, the at least one neural network can be trained and/or operated to determine, in particular to select, at least two parts (e.g. sections or contents) and/or parameters of the at least one communication message from different conceptual reference frames, contexts, categories or to generate. For example, parameters of different types and/or parameters that belong, for example, to two types of parameters that are usually not directly dependent on one another can be combined.

For example, the at least one neural network can be trained and/or operated, the at least one communication message according to and/or to change (e.g. amplification) an intermodal (in particular also to be understood as: between at least two perception channels) association rule, association logic, in particular (each with different strengths ), (association) assignments between various parameters (values), to generate perceptions. For example, an effect to be achieved or a reaction to be stimulated (e.g. marked in the specification) can include that the outputs on several perception channels (e.g. visual and auditory) should be perceptible as matching or inappropriate as far as possible. Alternatively or additionally, the (intermodal) perceptual congruence and/or a perceptual dissonance can be generated in order to strive for an effect of the communication message, in particular to achieve it, and/or to stimulate (or respectively change) a reaction to the communication message. The one or more parameters of the communication message can be determined or adjusted in such a way that, together with one or more circumstances (e.g. context in the environment of the second user device and/or another perception, in particular another stimulus, the corresponding one or more second persons ) a perceptual congruence, in particular an intermodal perceptual congruence, strengthens, in particular creates.

For example, at least one neural network can be trained to identify certain (essentially statically definable or dynamically variable, in particular machine-learnable) linguistic, phonetic, content-related, associative connections, connections between visually perceptible objects, and/or connections between linguistic terms and visual perceptions to combine. In this way, (possibly desired) contradictory or contradictory associations, emotions, communication messages stimulating cognitive processes or a communication message can be generated to a (e.g. definable, adjustable) extent.

In a further example, the at least one neural network can be trained (e.g. for human perception, in particular for a specific person or person belonging to a group of people) suitable and/or inappropriate stimuli or effects within the communication message and/or between a part or To generate parameters of the communication message and a part or parameters of a perceptible content or context in the respective environment.

For example, the at least one communication message can be generated (simultaneously, almost simultaneously or one after the other) for perception on at least two perception channels (also to be understood in particular: acting on two perception channels). For example, this can include a combination of an acoustic, visual, tactile, olfactory output. In doing so (e.g. depending on the optimization criterion and/or target value) an effect that is as compatible and/or inconsistent as possible (e.g. consistent or inconsistent for human perception) can be generated (in particular also to be understood as an overall perception). For example, the at least one neural network can be trained and/or operated to generate the at least one communication message with a specific target value of the effect in relation to the intermodal perception congruence (e.g. to another perception of the at least one second person).

For example, the communication message can be generated in such a way (e.g. include text parts, words, images, videos, scents) that they have a (e.g. at least subjectively perceptible, cognitive, emotional, psychological) reference to a circumstance in the environment of the (respective) at least second person stands. For example, the at least one communication message can include or imitate parts of text, a grammatical structure, words, images, videos that occurred, are or were perceivable by the (e.g. respective second) person in a similar form or in a form that can be associated or rhymed with them.

For example, the communication message can be generated in such a way that at least part of the communication message has a (cognitive, emotional and/or psychological) connection with at least part in the environment of the second user device (and thus also with another perception of the respective second person).

For example, a communication message can be generated (e.g. on the specification of the first person who has no or no precise knowledge of the context, otherwise perceived or conducted communications, media, context, scene of the second person, in particular one of a large number of the second person). e.g. to one or more other (current and/or from the past) perceptions, associations, memories, perceptual properties of the respective (second) person. A (respective) variant of the communication message can be generated for one or more (or each of several) second person. These can be generated based on the same specification. However, these can each appear very individual, e.g. as if the first person would consider the respective context (which they typically do not know or need to know) for every second person.

For example, acoustic output, visual output, tactile output, olfactory output (belonging or assigned to the communication message) can be generated which (for human perception, in particular for the perception of at least one second person) to one another or to part of another perception match or do not match, in particular are perceptible to a certain extent to match each other or to a part of another perception or not to match. The perceptions that match one another and/or do not match can also be trained for specific people and/or people belonging to different groups of people. The training can be carried out depending on the parameter of each effect obtained. At least one neural network or the system can be trained to (also) generate creative content, e.g. jokes, punch lines. For example, a communication message can be generated that, together with another stimulus, e.g. ongoing media content, a second communication from one or more second persons, appears creative, funny or pointed (to be understood in particular: is assessable).

For example, in the method, a certain difference, in particular a predetermined amount of a difference (e.g. minimum amount of a difference and/or a logic for determining or adjusting a difference) of the one or more parameters of a communication message (on the second user device or within the second living space) from the one or more first para meter and/or one or more second parameters and/or one or more further communication messages or variants of the communication messages are complied with.

For example, the communication message can be generated in such a way that a certain degree of similarity with the one or more (determined, recorded) first parameters and/or second parameters (e.g. information representing personal content) is not exceeded or at least a predetermined degree of dissimilarity is maintained . For example, the at least one mathematical relationship or the at least one neural network is set up or trained and/or operated to reduce a degree of similarity or not to exceed a specific, in particular adjustable, degree of similarity and/or a degree of dissimilarity increase or exceed a specific, in particular adjustable, degree of dissimilarity.

For example, the at least one neural network is trained and/or operated communication messages with a specific dissimilarity that exceeds a specific first level and/or falls below a specific second level (e.g. to one or more first communications and/or one or more second communications ) and/or to generate further (e.g. earlier and/or based on the same or similar specifications and/or to the same one or more second persons) communication messages. In other words, the system can be trained, for example, not to repeat something that has already been said, or at least not to repeat it as a whole. Rather, it can try to create new combinations or its own creations. This can also prevent communication messages or the personality model or avatar from being boring or not very intelligent. Alternatively or additionally, e.g. by selecting the appropriate threshold values, it is possible to recognize (specific or specific) information from the first user device(s) or first living space in the one or more resulting communication messages to a certain (e.g. predetermined, desired or set) dimensions are made more difficult.

The mathematical relationship and/or the at least one neural network can be controllable (in particular dynamically) depending on at least one other, e.g. predetermined, argument. This can be an argument that is not dependent or not directly dependent on the one or more first parameters and/or on the one or more second parameters (on the second user device or in the second living space), in particular independent of these. Such an argument can depend on information relating to the one or more first or second user devices, the specific first or second living space, the specific first or second person, a course of the method or a specific step of the method in relation to a Variety of user devices, etc. are determined. For example, the execution of one or more steps of the method or the mathematical relationship or the at least one neural network is dependent on the detection of a specific first or second user device, a first or second living space, a specific first or second person or a environment of a person, controlled. The dependency on the further argument can be adjustable, trainable or (dynamically, adaptively) controllable, for example.

A significant influence on the communication message (also to be understood as an influence on the parameter or parameters of the communication message when determining or adjusting one or more parameters of the communication message) can, for example, only or mainly be taken or executed if a certain time after the occurrence of certain parameters, parameter value ranges, patterns, etc. based on the data of one or more first user devices (e.g. from certain living rooms) and/or a certain accumulation of certain parameter value ranges, patterns, etc. is recognized.

Furthermore, the neural network can be trained and/or operated to determine one or more parameters of the communication message depending on the one or more first parameters and/or the second parameters, e.g. from (respectively) a large number of (first or second) communications, eg in the surroundings of a large number of the first user devices or within a large number of the second user devices. In other words, determining and/or processing (e.g. aggregation) from various parameters (also parameters of various types) from several (first and/or second) communications, reactions from one or several (first and/or second) persons to a media content to be executed. This can be carried out or initiated using a large number of the first user devices, using a large number of the second user devices and/or using the remote computing unit R2. The parameters can be determined, in particular selected, and/or processed according to a specific criterion. For example, determining and/or processing the parameters (eg the respective data sections or parameter sets) for training and/or operation of the at least one neural network. For example, determining, in particular selecting, and/or processing the parameters is controlled by the training process and/or as a function of the neural network to be trained.

In the method, a certain unilateral or mutual (e.g. trained or trainable) influencing of the communication messages (output on the second user device or in a second living space), in particular certain parameters (or types of parameters) of the at least one communication message, can be prevented by a or several (first) communications and/or reactions of the first persons to media content (in the vicinity of the first user devices or within one or more first living spaces) are carried out. For example, such influencing can be dependent on the detection of certain parameters, types of parameters and/or parameter value ranges of the communication, e.g. certain value ranges or patterns of the first parameters (of the at least one communication in the surroundings of the one or more first user devices or within one or more first living quarters) are executed.

In particular, the method can be carried out in such a way that no or at least predominantly no or no explicit exchange of content or one that is perceptible to the persons or no transmission of the content information, in particular no output of (same, unchanged or not sufficiently changed) the first ( Content recorded with the first user device, e.g. the content of the first communications of the one or more first persons or from the one or more first living spaces, takes place or must take place on the second user device or in the second living space.

For example, depending on the one or more first communications in the vicinity of a first user device or in a first living space, a first piece of content-related information, in particular identifying or representing the content, can be determined, and then a piece of information, in particular non-content-related, and/or from a second content to be output, a parameter to be recorded, input, scene, context, etc., which is essentially independent or abstracted from this, second parameter of the communication message can be determined or adjusted depending on the determined first information characterizing in particular content or a feature of the content .

In particular, depending on a first piece of content or a feature of the first content, context, scene characterizing information and/or a second piece of content or a feature of the second content, context, scene characterizing information, e.g. of specific content features of one or more sections of the communication or multiple communications (in the vicinity of the first user devices or the second user devices), one or more non-substantive parameters of the one or more communication messages (e.g. for output on the second user device or in the one or more second living spaces) are determined or be adjusted. In doing so, a "mixing" of the content of first and second communications or personal information can be effectively prevented.

In a further example, the communication message can be used to initiate a second communication (e.g. a second communication with a specific feature) in which one or more second persons are involved, in particular a communication between the at least two of the second persons or between a second and a third person or be influenced (in a certain way or to a certain degree). At least one (optionally taking place or subsequent) second communication can be influenced (in a specific way or to a specific extent) depending on the one or more of the first communications. This can take place without an exchange, transmission, mixing or respective first or second content information having to take place.

The method can also be designed in particular in such a way that only a very small proportion, essentially no or no first sections or content, in particular from the respective first user device or the first living space is sent in an unchanged form and/or (e.g. on a or several second user devices) must be played back. Rather, only (many times more compact) first parameters and/or second parameters (e.g. characterizing the sections) are sufficient. In particular, a part (section, content) of the content contained in the at least one communication message (in particular also to be understood: to be output with it) can be dependent, in particular on the basis of several sections of the one or more first communications and/or second communications or the first Reactions and / or second reactions are generated. This can preferably be done without them being reproduced predominantly, completely and/or unchanged. Sections of several (a large number of) first and/or second communications or reactions of at least one person, in particular those determined by means of several first user devices or by means of several second user devices, can be compared with one another or with one another, combined, processed and/or Training or operating the at least one neural network can be used. Depending on the result of the comparison, combination, processing, training of the at least one neural network, the generation of the at least one communication message and/or the output of the communication message on the second user device or within the second living space can then be controlled.

For example, a parameter or a part (section or content) of the content to be output with the at least one communication message (optional) by means of processing (executed according to a predetermined rule or executable by means of the trained neural network), in particular aggregation on the basis of several in particular selected sections from several, in particular mutually independent, communications or reactions can be determined. The respective content information can, but does not have to, correspond to a voice or a text or represent the corresponding sound waves or images. Rather, part of the content to be output with the at least one communication message can be extracted from several sections of the first communication(s) or Reactions of the at least one person that are determined by means of one or more first user devices or from one or more first living spaces.

For example, a corresponding communication message (as or comprising a media message, in particular a voice message) is generated on the at least one second user device, with a parameter of the communication message depending on the one or more parameters of the, in particular different, mutually independent (first and/or or second) communications, e.g. in the surroundings of different, mutually independent first user devices or within mutually independent first living spaces or surroundings of the user devices, and/or of the one or more (first and/or second) parameters of the reaction or different, mutually independent reactions of the first persons or reactions of the second persons to the one or more specific media content, e.g. in the last few minutes, hours or days, is determined or adjusted.

For example, one or more parameters of the communication message (at the second user device) can depend on a first and/or second parameter determined by means of a large number of the first user devices and/or second user devices, e.g. depending on a ( e.g. predominantly or statistically predominant) opinion, attitude, emotion, physical activity, etc. (in particular on one or more specific topics) or reaction to parts of the media content (in particular on one or more specific topics), can be determined or adjusted. For example, a first parameter and/or a second parameter can indicate a measure of the frequency of specific topics (e.g. occurring in communication), opinions, attitudes, emotions, physical impulses (in particular on one or more specific topics).

In particular, on the second user device or within the second living space, no voices and/or no first content or parts of the first communications or reactions of one or reproduced by several first persons. In particular, the content of the communication message or the information processed within the communication message cannot represent any content, in particular no concrete or unprocessed or directly reproduced content of the first sections.

For example, the communication message can be generated on the second user device using the at least one neural network, with the at least one neural network depending on the first parameters (e.g. the first parameters relating to a large number of first communications or reactions of the one or more first persons, in particular from the first communication group, in particular with priority from the communications from one or more senders) and/or the second parameter (e.g. the second parameter relating to a large number of second communications or reactions from the one or more second persons, in particular from the second communication group, in particular with priority trained by the communications of one or more recipients), and/or is operated, in particular controlled, as a function of the current first parameters and/or of the current second parameters.

Alternatively or additionally, the at least one neural network can be operated, in particular controlled, depending on a specification from one or more first persons.

Particularly preferably, the at least one neural network is (also) trained with the parameters corresponding to specific first (actively communicating) persons or second (those receiving at least one communication message) persons. A decisive advantage can result from this, that the result of the procedure (e.g. the communication message or the effect of this) depends to a special degree on the persons concerned or suits them. For example, the result can (better) take into account the communication behavior or the mental map (e.g. known from NLP) of the specific person or an (improved, e.g. particularly intensive, precise or predictable) appropriate effect can be achieved.

In a simplified example, a part (section or content) of the content to be output with the at least one communication message is based on processing, e.g. a selection of a comparison, assignment and/or merging, in particular a combination of several pieces of content information from several first communications or Generates reactions from the one or more first persons and/or the respective second person. The at least one neural network is preferably dependent on the result of processing (e.g. matching, selecting, assigning and/or merging, in particular a combination of multiple parts (sections and/or content) from multiple first communications or reactions of the one or more first Persons and / or the respective second person trained and / or operated.

For example, part of the content to be output with the at least one communication message can be determined or adjusted depending on a second parameter of the communication or reaction (on the second user device or within the second living space). In this case, the specification of the one or more first persons and/or the first parameters (e.g. a comparison, assignment and/or merging, in particular a combination of the contents or parameters of several first sections of the communication or the reaction of the at least one person) can be processed. take place depending on one or more second parameters. In this case, too, the effect can be sought or can result that the recipient of the communication message influences one or more (objective) parameters of a communication message with his communication within his environment, to third parties or through his reactions (at least implicitly). which is issued for him by one or more first persons (e.g. the first person involved or not involved in the history as the sender of the communication message). The effectiveness of the communication as well as concrete effects or reactions stimulated by the communication message can be changed towards a goal or target value.

In one example, the one or more parameters of the communication message can, but do not have to, be determined or adjusted in such a way that certain connections to prior knowledge of the at least one second person and/or to the second context in the environment of the second user device or within of the second living room. For example, a communication message (e.g. generated based on the specification of the first person, whereby the specification can relate to a first prior knowledge and/or first context) can be generated in such a way that it relates to a prior knowledge and/or context of one or more second persons. For example, the one or more parameters of the communication message can be determined or adjusted in such a way that it has approximately the same or (e.g. according to a predetermined difference) changed relationship to the prior knowledge and/or context of the at least one second person as the specification for the first prior knowledge and/or context of the (each) one or more first persons.

For example, a communication message can be generated that (eg depending on the setting and/or specification) certain cognitive, emotional and/or psychological references to the previous knowledge (also to be understood in particular: experience) and/or context, in particular the current context of the at least one second person. In particular, this can take place without information about the (entire) previous knowledge, experiences or, for example, being explicitly or implicitly transmitted or having to be transmitted. For example, a communication message can be generated which, in particular, has similar or different (eg increased, weakened, changed according to the setting or specification) cognitive, emotional and/or psychological references to the (respective) second person has. An effect and/or reaction corresponding to the goal or target value in the (respective) second person, in particular memory, emotion, association, need, a specific ego state of the person or a specific reaction of the (respective) second person can be sought , In particular, be achieved or stimulated.

For example, a (e.g. depending on the setting and/or specification) specific feature, in particular parameters, can have a cognitive, emotional and/or psychological effect (such as a romantic memory, a feeling, a change in mood) or a (e.g. depending on the setting and/or specification) of a second person (e.g. each of several) that corresponds to certain parameters should be aimed for or achieved. This can be particularly effective if there are a large number of second persons (e.g. in a mailing list from a large number of persons who are not personally known or who are known to varying degrees).

If, for example, a communication message is initiated (e.g. for several recipients) which (e.g. according to the specifications of one or more senders) strives for a nostalgic, melancholic, optimistic or romantic effect, in particular to achieve it to a certain extent, then the one or more parameters of the respective Communication message for the (e.g. for each of several) recipients are determined (possibly differently from each other) in such a way that the (respective) communication message, in particular respective variant of the communication message for the respective recipient (e.g. at least tends to be) nostalgic, melancholic, optimistic or achieved a romantic effect.

For example, the content, e.g. one or more references to certain facts, events, stimuli, contexts can be determined in such a way or the references of the respective recipient to certain facts, events, stimuli, contexts can be used in such a way that the (e.g. the goal or target value corresponding effect or reaction, in particular given in the specific case, is achieved in each case. For example, the communication message can refer to certain (each different), in particular individual or private information, e.g. previous knowledge, feelings, behavior that is specific to the respective recipient (e.g. only the respective) recipient. In particular, this can be done without processing the explicit data for the individual or private information or making it available to the sender. Rather, the objective technical effect can be achieved by training the at least one neural network on a multiplicity of the first or second parameters.

For example, on the one or more first user devices (each) a specification for one or more communication messages can be understood, which relates to the first prior knowledge and/or context. This can be a communication message with cognitive, emotional, and/or psychological references to one or (respectively) several first persons. Such a specification can be entered particularly easily and precisely by the respective first person (with reference to their own feelings, so to speak).

For example, one or more first persons can initiate the specification or the communication message serving as the specification, so to speak, according to their own mental map or based on their own cognitive, emotional and/or psychological references (e.g. to their own experiences, previous knowledge and/or context). , specifically enter. Thereupon (with or without outputting the draft to the first person) a communication message can be output (on the respective second user device) which is, so to speak, tailor-made for the respective second parameter and/or second person. The communication message can be according to the respective mental map or based on cognitive, emotional and/or psychological references (e.g. to own experiences, prior knowledge and/or context) of the respective second person or be perceptible for the respective second person. A communication message can be generated (e.g. based on the specification of the first person), in particular the specification of the first person can be adapted in such a way that the communication message refers to individual or personal references of the second person (e.g. without the first person having to know them ).

For example, the one or more second parameters can be determined or adjusted at least partially or predominantly in a different, opposite or contrasting manner to the (comparable, corresponding) first parameters or to a parameter trend of a (comparable, corresponding) first parameter. A change in a second parameter can be determined or adjusted at least partially or predominantly according to a scaling or inverse function of the one or more first parameters or parameter trends. Preferably, a parameter of the communication tion message at least partially corresponds to or follows a first parameter of the one or more communications or reactions, which is in particular predominantly dissimilar, opposite and/or changed by a certain fixed or dynamic factor. For example, a repetition of the first parameters or contents in the communication message can be prevented or a repetition only permitted with a (appropriate, desired or at least to be observed) difference.

For example, the at least one neural network can be trained and/or operated to determine one or more first change functions, in particular first trends, the first parameters of the communication and/or the reactions of the at least one or more first persons to specific media content (e.g. as a such) to recognize and/or predict. The parameters of the communication message can then be determined or adapted as a function of the one or more first (recognized or predicted) change functions, in particular one or more trends. For example, the parameters of the communication message can be determined or adjusted in such a way that they depend on the one or more first change functions, patterns, trends of the first parameters of the communication and/or the first parameters of the reactions (e.g. to certain media content). For example, the one or more second parameters of the communication message can be determined or adjusted in such a way that they correspond to one or more recognized first trends, at least partially in an unchanged, strengthened, weakened, limited or changed in a certain way form, e.g. according to an opposite or a trend determined according to the mathematical context (or depend on it in a certain way).

For example, the mathematical relationship can be set up or at least one neural network can be trained and/or operated to determine or adapt one or more parameters of the communication message depending on a first trend and/or a second trend based on the one or more first parameter or one or more second parameters (e.g. one or more, in particular a large number of first or second communications and/or first or second reactions to specific media content is determined, recognized or predicted.

For example, the one or more parameters of the communication message can be determined or adjusted in such a way that a first trend and/or a second trend (e.g. one or more parameters of the respective communication and/or the reaction of the at least one person, the one or more parameters of the affect one or more generated communication messages (e.g., according to a goal or target value. For example, trend (e.g., across multiple generated communication messages) may be determined or adjusted depending on one or more first trends and/or the second trends.

For example, a parameter of a first trend can also be interpreted as a first parameter or a parameter of a second trend can also be interpreted as a second parameter. For example, the at least one neural network can be trained and/or operated depending on a first parameter of a first trend and/or depending on a second parameter of a second trend.

One or more first trends (e.g. selected according to an optimization criterion) can be at least partially adopted (e.g. depending on the specification, goal or target value), at least partially limited or prevented, changed according to a predetermined condition. A new or changed trend (e.g. on the one or more second user devices or for the one or more second living spaces or for one or more second persons ) are generated, influenced or stimulated.

• - Parameterwerte, insbesondere Muster und/oder Trends aus den ersten Parametern einer Kommunikation einen Einfluss oder einen erhöhten Einfluss auf die zweiten Parameter der zumindest einen Kommunikationsbotschaft haben, falls diese, z.B. als gewünscht (z.B. als „positive Einflüsse“) definiert oder durch den mathematischen Zusammenhang bzw. nach einem vorausbestimmten oder anderweitig gelernten Kriterium als gewünscht bzw. als „positive Einflüsse“ eingeordnet werden, und/oder
• - Parameterwerte, insbesondere Muster und/oder Trends aus den ersten Parametern einer Kommunikation keinen Einfluss, einen verringerten Einfluss oder einen veränderten Einfluss auf die zweiten Parameter der zumindest einen Kommunikationsbotschaft haben, falls diese, z.B. als nicht gewünscht (z.B. als „negative Einflüsse“) definiert oder durch den mathematischen Zusammenhang bzw. z.B. nach einem vorausbestimmten oder anderweitig gelernten Kriterium) als nicht gewünscht bzw. als „negative Einflüsse“ eingeordnet werden.

In particular, the at least one neural network can be trained in such a way that

• - Parameter values, in particular patterns and/or trends from the first parameters of a communication have an influence or an increased influence on the second parameters of the at least one communication message, if these are defined as desired (e.g. as “positive influences”) or by the mathematical context or according to a predetermined or otherwise learned criterion as desired or classified as "positive influences", and/or
• - Parameter values, in particular patterns and/or trends from the first parameters of a communication have no influence, a reduced influence or a changed influence on the second parameters of the at least one communication message, if these, for example, are not desired (e.g. as "negative influences") defined or classified as undesirable or classified as "negative influences" by the mathematical context or, for example, according to a predetermined or otherwise learned criterion).

The feedback can then be given to the at least one neural network depending on the classified patterns, trends or evaluation of the influences. This can be done when training and/or operating the neural network. For example, the at least one neural network is rewarded for the generation of patterns, trends, influences defined as positive and/or punished for the generation of patterns, trends, influences defined as negative.

Such more or less desired or undesired (positive or negative) influences can be (arbitrarily) definable, trainable according to the invention and/or striven for in operation. The patterns, trends and/or influences can preferably be adjustable or (also dynamically) controllable during operation.

For example, the at least one neural network can be trained on a specific target value with regard to the influences with specific ratings or rating-dependent influences. These can also be defined or (dynamically) controllable for the system comprising a number of user devices (e.g. operable in a large number of living spaces).

In the method, a parameter that exceeds a certain level, a trend and/or an existing or impending instability of a system from a number of the first user devices or living spaces and a number of the second user devices or living spaces can also be recognized in the method and a measure can then be carried out. Such a measure can include, for example, a (specific) change or activation of the mathematical relationship (to be applied in the further course of the method) or of the at least one neural network. The stability of the system (consisting of one or more first user devices and at least one second user device) can be maintained, e.g. by counteracting parameter fluctuations that exceed a specific parameter value range or a specific amount. In particular, at least one neural network can be trained and/or operated to influence the propagation of influences (e.g. certain influences or influences of a certain type), in particular (e.g. certain) content, emotions, opinions, trends, etc., in particular (e.g. with regard to their intensity, propagation dynamics, effect), to control or regulate, to optimize, to limit or to change towards the target value.

In particular, at least a part (e.g. section or content) of the communication message can depend on one or more first parameters and/or a second parameter relating to a (first and/or second) content feature, a (first or second) linguistic parameter of the one or several first and/or second communications, a (first and/or second parameter of the context or the (first and/or second) scene, a first and/or second parameter of the emotion, and/or a second parameter of an intention, a and/or second parameters of the reaction of the at least one or more first or second persons are determined or adjusted.

One or more parameters of the communication message can be determined or adjusted for these (first, second) parameters, e.g. according to the mathematical relationship or by means of the at least one neural network (which is e.g. trained depending on the parameters from the past). The section of the communication message (also to be understood in particular: parameters of the section of the communication message that is output on the second user device or in the second living space) can be linguistic, stylistic, in terms of an output voice and/or pitch and/or undertone and/or facial expressions or gestures can be determined or adjusted.

For example, a combination of certain parameters or the parameters of certain types of the at least one communication message (eg a certain one defined in the said mathematical context or resulting from this or trained in the at least one neural network) can be determined or adjusted. For example, at least one section of a communication message, eg a voice message, can be determined or adapted linguistically, stylistically, with regard to an output voice and/or pitch and/or undertone and/or facial expressions or gestures. This can also be carried out if the information to be output by means of the communication message is essentially limited to what is known as a factual aspect of a message or, for example, a mechanical one Reading aloud information (substantially independent or dissimilar per se from the one or more said first communications, eg in the first living space or spaces). This communication message can be changed, for example, only or predominantly only with regard to an output voice and/or pitch and/or undertone and/or facial expressions or gestures or body language. For example, a parameter of the speech generation or, analogously, image generation or music generation, facial expression generation or gesture generation of the communication message can be determined or adapted, in particular dynamically.

The parameters of a communication message can be determined or adjusted several times, repeatedly, preferably cyclically and/or event-controlled (e.g. depending on one or more specific criteria). At least one parameter of the communication message can be influenced, e.g. made more precise or optimized, during the generation of the communication message, in particular depending on the respective new first and/or second parameter. Furthermore, the one or more parameters of the communication message can be determined or adjusted depending on a large number of the first parameters (which are determined, for example, by means of a large number of the first or second user devices and/or within a large number of the first living spaces or second living spaces). . The parameter of the communication message can be determined or adjusted depending on the number of first user devices (active in a specific, e.g. current, time interval) and/or second user devices.

In particular, the one or more communication message parameters are to be understood as parameters for generating the communication message or for recipient-specific adaptation of the communication message or for adaptation of the communication message in comparison to the specification of the one or more first persons. It can be the parameters that influence or control the generation, in particular the adaptation of the communication message (e.g. predominantly from "locally applicable or locally available" second information, content to be output, etc.). In particular, information based on said first parameters and/or the second parameters (e.g. at least the one or more respective communications and/or reactions of the one or more first or second persons) is provided. The parameters of the communication message can then be determined or adjusted depending on information provided. On the one hand, this can be done in such a way that the mathematical relationship is determined or at least one neural network is trained depending on the information provided. On the other hand, the at least one mathematical relationship (e.g. as a computer-implemented function) or the at least one neural network can be operated, in particular (during operation) controlled or optimized, depending on the (preferably current) first information and/or second information.

The method can be carried out (e.g. by appropriate selection, design or training of the at least one neural network) in such a way that a (specific, desired or appropriate) influence on the one or more first communications or the reactions of the one or more first Persons and/or the at least one second person (e.g. the information determined on the one or more first user devices or within the one or more first living spaces) to the at least one communication message, in particular several communication messages (which, e.g. on the second user device or within of the second living space are issued) is executed.

The method can (depending on the design variant or settings) act like a "filter" or a "membrane" with certain, e.g. adjustable, controllable, properties of the influence between the one or more first user devices (or living spaces or people) and the one or several second user devices (or living spaces or people) or at least as a result have an effect corresponding to a configurable or learning “filter” or “membrane”. For example, a parameter of the communication message can be determined or adjusted on the second user device or within the second living space in such a way that, depending on the information (determined within the one or more first living spaces and/or second living spaces), in particular the first parameter and/or second Parameters, e.g. characterizing the reactions, emotions, intentions of a first person, only or predominantly an emotional influence and/or a specific (comparatively abstract or comparatively concrete) appeal, a need to be addressed, etc. a physical impulse, in particular body language of the communication message or a corresponding avatar is determined or adjusted.

Certain, selected emotions can be transmitted by means of the communication message from one or more (also a large number of) first persons to a second person or made perceptible to the second person (eg in the form of the avatar or through the avatar). Depending on the exemplary embodiment, a communication message containing physical activity influenced in the method or the at least one avatar can act as a kind of "middleman" for transmitting emotions or for achieving certain effects or stimulating certain reactions, in particular according to a (selectable, appropriately selected, intelligent, predetermined dependency ), e.g. from one or more of the first persons to one (or more) second persons.

A certain degree of the cognitive, emotional and/or psychological effect on the respective second person, stimulation of a certain reaction of the second person or influencing of the respective second person, in particular a certain person or person belonging to a certain group of people (e.g. according to a goal or target value) can be selected, determined, limited or adjusted.

For example, at least a (predominant) proportion of specific information content of the first communications or the reaction of the one or more first persons cannot be output with the communication message, in particular not explicitly or unchanged, and/or specific information content or information content corresponding to a specific feature of the first communications from the communication message, in particular according to a predetermined condition, are excluded, so to speak filtered out and/or changed (e.g. converted, rephrased by other means). In this case (predominantly only) a certain (consciously and/or unconsciously effective) emotion, appeal, stimulation of the communication message can be determined or adjusted as a function of the first parameters and/or the second parameters. For example, the communication message or a parameter of the communication message that is determined or adapted in the process can be abstracted, summarized, simplified information (compared to the one or more first communications and/or reaction of the one or more first persons or the corresponding first parameters) and/or or represent altered emotion, appeal, stimulation.

For example, the mathematical context can include a rule or that at least one neural network can be trained: to abstract, summarize, simplify and/or change the (contents, features, emotions, etc.) of one or more (first) communications or the reactions of the one or more first persons. Such abstracting may include, for example, determining or adjusting the one or more (e.g., linguistic, morphological, etc.) language generation parameters, summarizing (e.g., generating a summarized version) and/or image generation parameters and/or body language generation parameters based on a a plurality of first communications or reactions, and/or determining or adjusting a parameter of an (artificial, computationally determined, generated or represented) emotion or intention. The emotion or intent (artificial, computational, generated, or represented) may be a parameter of the communication message and/or may be expressed by the communication message (e.g., by or on behalf of the virtual personality).

For example, one or more parameters of the communication message can be determined or adjusted with the at least one trained neural network on the basis of a large number of the one or more first parameters and/or second parameters. The parameter or parameters of the communication message can be or characterize one or more parameters of the emotion to be conveyed, appeals or reaction to be stimulated, e.g. intention or action. This can be an emotion, appeal or reaction to be stimulated, e.g. intention or action, which is expressed by the communication message, e.g. by means of the generated or adapted body language of the communication message.

For example, on the basis of a large number of the first parameters and/or the second parameters, which e.g. characterize one or more of the content-related features of the corresponding first or second communications or reactions of the respective persons, a parameter of the communication message characterizing one with the output of the communication message emotion, appeal or reaction to be displayed or to be evoked in the second person can be determined or adjusted.

The parameter(s) of the communication message can be abstracted, summarized, and/or simplified information, emotion, appeal, or .Reaction to stimulate generate or represent one or more second persons. For example, the at least one (eg created or operated for the at least one second person or for the second living space) personality models or avatars can express an emotion, appeal and/or intention and/or stimulate a reaction of the at least one second person. This can in turn be determined on the basis of one or more first parameters (with or without taking into account one or more other second parameters described in this document).

For example, the mathematical relationship can be selected or designed or controlled, or at least one neural network can be set up and/or trained in such a way, on the basis of a large number of the first parameters, in particular a large number of parameter sets from a large number of the first user devices, the one or more of the (second) parameters of the at least one communication message can be determined or adjusted. The communication message can characterize, in particular represent, abstracted, summarized and/or simplified information, emotion, appeal.

For example, the mathematical relationship (e.g. by means of so-called non-rule-based learning) can be determined or adjusted in relation to or on the basis of the first and/or second parameters, in particular continuously or dynamically. Such a (e.g. continuously or dynamically changeable mathematical relationship or the at least one trained neural network (e.g. also the data stored in it or various dependencies) can be used as part of the method or as part of the computer program proposed in this document or the computer program product be considered.

The influences described in this document (which e.g. can determine the properties of the "filter" or the "membrane") can, in particular for the generation, in particular adaptation of the communication messages between one or more specific (e.g. belonging to a specific number or group) first user devices or first living spaces and one or more specific (e.g. belonging to a specific number or group) second user devices or second living spaces, and/or between one or more specific (e.g. belonging to a specific number or group) second user devices or second living spaces and one or more specific first user devices or living spaces (e.g. belonging to a specific number or group) that can be set or dynamically controlled or regulated.

A (e.g. by a user and/or an operator of the method) desired or expedient influencing of the (respective) communication messages and/or an effect to be achieved and/or the stimulation of reactions (in particular a specific one, e.g. one from a specific second person or person belonging to a specific group of people perceptible or acting on this effect, e.g. an emotional, psychological or cognitive effect) can be determined or adjusted.

The functionalities mentioned or other functionalities of this type can be implemented, determined or adapted by actuating one or more control inputs of the at least one trained neural network provided for this purpose. Alternatively or additionally, the at least one neural network can be trained for a number of different target values, variants of generating the communication message or according to different optimization criteria. During training, one or more control inputs can be assigned or controlled with different input values (e.g. for different target values, variants or optimization criteria). Thus, at least one neural network can be trained to take into account target values, variants or optimization criteria (e.g. those that can be changed in later operation).

The different target values, variants of generating the communication message or different optimization criteria can be switched over or controlled during operation, in particular by activating one or more control inputs (of the mathematical relationship or of the at least one neural network).

Various specific properties of the influencing, e.g. of the "filter" or the "membrane", can be defined in the process, can be changed by the settings of one or more (respectively involved) first persons and/or second persons, and/or can be changed dynamically, controlled, regulated.

Alternatively or additionally, the information etc. determined in the method can also be used in a modified form on the basis of the parameters determined in the first user device or first living space, for executing the method or other functionalities or services. A corresponding degree of change (eg to be carried out in each case) or of alienation or anonymization of the information can be determined (eg by a user and/or an operator of the method). It can (only) an expedient, desired influence on certain parameters of the communication message and thus on the at least one second person, eg from a certain number or group of user devices or living spaces, from a certain number or group of people, eg from a selectable group of people, e.g. club members, and/or (only) to a desired, e.g. limited, extent. This can be done without having to "listen in" to the first or second sections of the communication, the reactions, etc.

• - ein Übermitteln oder Wiedergeben einer expliziten Information von einem oder mehreren (insbesondere bestimmten) ersten Anwendergerät bzw. einem oder mehreren ersten Wohnräumen zu einem (insbesondere bestimmten) zweiten Anwendergerät bzw. in einen (insbesondere bestimmten) zweiten Wohnraum, z.B. nach bestimmten Kriterien, begrenzt oder verhindert wird;
• - nur oder vorwiegend ein Übermitteln oder Wiedergeben von (besonders stark bzw. statistisch) gehäuften, z.B. mit zumindest einer bestimmten Häufigkeit auftretenden oder verarbeiteten bzw. aggregierter, Information aus dem einen oder mehreren ersten Anwendergeräten bzw. dem einen oder mehreren ersten Wohnräumen erfolgt;
• - nur oder vorwiegend ein Übermitteln oder Wiedergeben von Information erfolgt, die ein bestimmtes Kriterium, z.B. entsprechend einer geltenden und/oder eine von einem betroffenen Nutzer bewilligte Regelung erfüllt;
• - nur oder vorwiegend Erfassen und/oder Berücksichtigen von nichtinhaltlichen ersten Parameter, z.B. aus der Reaktion von zumindest einer ersten Person, des Mediainhalts bzw. der Kommunikation aus dem einen oder mehreren ersten Anwendergeräten bzw. ersten Wohnräumen erfolgt;
• - ein Ausschluss von bestimmter Arten oder Kombinationen von ersten und/oder zweiten Parametern, insbesondere von Parameterwertebereichen, Mustern der Parameter, etc. erfolgt;
• - eine Begrenzung der (zu bestimmenden oder anzupassender) Parametern der zumindest einen medialen Meldung, insbesondere hinsichtlich ihrer Parameterwertebereiche, Muster der Parameter, Ähnlichkeit, etc. erfolgt;

For example, the at least one mathematical relationship can be selected or designed or controlled, or at least one neural network can be trained and/or operated in such a way that:

• - A transmission or reproduction of explicit information from one or more (particularly specific) first user device or one or more first living spaces to a (particularly specific) second user device or in a (particularly specific) second living space, eg according to certain criteria, limited or is prevented;
• - Only or predominantly a transmission or reproduction of (particularly strong or statistically) accumulated information, for example occurring or processed or aggregated with at least a certain frequency, takes place from the one or more first user devices or the one or more first living rooms;
• - only or predominantly information is transmitted or reproduced that fulfills a certain criterion, eg according to an applicable regulation and/or a regulation approved by a user concerned;
• - only or predominantly detecting and/or considering non-content-related first parameters, eg from the reaction of at least one first person, the media content or the communication from the one or more first user devices or first living rooms;
• - there is an exclusion of certain types or combinations of first and/or second parameters, in particular of parameter value ranges, patterns of the parameters, etc.;
• - the parameters (to be determined or adapted) of the at least one media message are limited, in particular with regard to their parameter value ranges, pattern of the parameters, similarity, etc.;

The influence of the one or more first communications, parameters of the first media content and/or the reactions of the one or more first persons can, for example, be explicitly non-content-related (e.g. not reflecting the content of the first communication, the first media content, the first scenes, etc ) parameters of the communication message (substantially or in a certain way or to a certain extent, e.g. indicating scope and/or similarity, etc.). For example, only or predominantly one parameter of the communication message can be determined or adjusted, which is predominantly determining for a specific, e.g. psychological, cognitive or emotional perception of the communication message, which determines the effect exerted or the reaction stimulated by it. The emotional, cognitive or psychological effect of a part of the content of the communication message can be determined or adjusted, which can be determined or adjusted by the first content and/or the second content of the one or more first or second communications or the first or the second reaction is (substantially, or at least to some extent) independent or may be independent.

For example, the at least one neural network can be trained and/or operated to determine or determine the one or more second parameters of the communication message, e.g to adapt that the communication message has a certain effect, in particular a (specific, corresponding to the goal or target value), e.g. cognitive, emotional or psychological influence on a second person (who uses the second user device or is in the second living space), e.g. stimulates a specific emotion, addresses a specific need, includes an appeal, a change in ego state, second parson behavior causes and/or stimulates a specific reaction, in particular a specific action, on the part of the second person.

Such an influence (e.g. described above) on the person or a certain state of the person to be achieved (simplified: an "influencing of the mood" or a "desired mood" or degree of the effect or reaction) can in turn depend on the respective first parameters and/or the second parameters from one or more (preferably a large number) of the first or second communications, and/or first or second reactions (to the sections of the communication or the media content) or various to the or the first user devices or first living spaces related parameters, in particular parameter patterns, are determined. In other words, in a simplified case, e.g. certain characteristics of a mood, intention, state of the person (e.g. ego state, emotional, cognitive or psychological state), and/or a certain change in mood, intention, a state, a cognitive process of the second person, in particular in a specific way or with a specific (qualitative and/or quantitative) target value.

The behavior, in particular the communication behavior of a (e.g. first or second) person and/or at least one personality model or avatar can be a behavior pattern or be understood as a behavior pattern. In particular, the term “behaviour” can also be understood as a way of acting, reacting, interacting, behaving and/or communicating. In particular, the behavior of one or more specific or specific communications, actions and/or interactions (of the person or the at least one virtual personality) and/or of a specific or specific context, a specific or specific situation and/or goal is at least partial independent, not uniquely dependent, and/or abstracted. In particular, it can be behavior that is not just a reaction to a situation. Exceptionally, a behavior of a person and/or the personality model or avatar can be understood as a sequence and/or sequences of actions and/or interactions from communication interactions.

For example, an effect can be created, amplified, attenuated, limited, and/or influenced in the method. The at least one neural network can be trained and/or operated to generate a certain cognitive, emotional or psychological resonance from or between people in the surroundings of different first and/or second user devices or in different living rooms and/or (e.g. according to a target value) to influence, in particular to control. In the context of the present document, the cognitive, emotional or psychological resonance refers in particular to an effect of, for example, repeated and/or mutual cognitive, emotional or psychological influence. As a result, an emotional resonance can be stimulated or imitated within a number of the first persons or the second persons, which can arise, for example, in a directly communicating society, at a mass event, e.g. in a stadium and/or concert.

The effect of the method (in contrast to partially unpredictable mood swings in a crowd), e.g. by means of a predefined criterion (such a criterion can itself be designed as a mathematical context) and/or by means of the correspondingly trained and/or operated, in particular controlled neural network, predicted and/or at least partially (e.g. in each case expediently) limited, strengthened and/or influenced, e.g. be controlled or can be limited, strengthened and/or influenced, e.g. be controllable. For example, one or more influencing or determining or adjusting the parameters of the communication messages can be limited to appropriate values (e.g. situation-dependent, person-dependent or individual), linked to at least one (additional, e.g. appropriately selected) predetermined condition, generated depending on an additional condition become.

The (e.g. cognitive, emotional or psychological) influencing or resonance (e.g. between the one or more first persons and one or more second persons) can be carried out in relation to several (in particular a large number) of persons, user devices and/or (e.g. by Control of the respective mathematical context or the at least one neural network) can be changed (e.g. controlled, limited, optimized).

The influencing of one or more communication messages (or the effect on the respective persons, stimulation of reactions of the respective persons) can be related to a large number of communication messages, in particular communication messages that are related to stand next to each other, each of which includes or is an at least partial response, forwarding and/or a follow-up communication message (eg comprising part of the previous communication message or stimulated by part of the previous communication message).

In particular, a feature, in particular a parameter of the propagation and/or change of certain influences, effects and/or reactions corresponding to a certain criterion (e.g. a pattern) can be controlled. This can be done in terms of spreading to new user devices and/or changing the impact over the course of communication or time. For example, an interpretation that deviates (more and more) from the original information and/or spreads to more and more new people, e.g. by several communication messages that are related to each other, e.g. build on each other, can be prevented.

It is not possible, or not only, to determine or adapt the content of the respective (e.g. related) communication messages. Rather, an influence (e.g. comparatively small, gentle and/or statistically effective) can be exerted on the function of propagation and/or interpretation. For example, a spread of certain emotions, reactions, intentions, in particular a mutual reinforcement or falsification of these, e.g. by, for or with minors can be prevented. This can also be done, for example, without prohibiting the use of the service or communication on certain topics.

For example, parts, parameters or dependencies from the specification (e.g. in a comparatively slightly modified or unchanged form) can be used to generate the communication message (in a simplified case transmitted unchanged to the second user device or to the second living space) that are required for reaching are beneficial to the goal or target value and/or are discarded, replaced, changed, in particular significantly changed, which are a hindrance to achieving the goal or target value. For example, if they favor a certain emotional perception or a certain type of cognition, a cognitive process of a certain kind (e.g. remembering), change (in a certain way, to the desired extent, etc.), or change a certain one produce a psychological effect, and/or the transmission of unchanged information, e.g. the content of specific communications or reactions, is essentially or to a certain extent suppressed or excluded.

With the method, a one-way, mutual or multilateral communication or emotional or psychological connection between one or more first persons and one or more second persons can be strengthened, limited, dampened or (in particular to a desired extent, in particular dynamically, in particular person-specific or . group-specific, context-specific) are influenced. This can be done by different training (e.g. different training goals or training with different controls during training) and/or by different operation, e.g. by different control or different predefined optimization criteria, of the at least one trained neural network.

Furthermore, an imitation or type of “body language influence, feedback or interaction at a distance” can be implemented in the process. This can be implemented in the process with or without an image, video or sound transmission from, to or between the first and second user devices or living spaces. Such an influence can also take place simultaneously for several of the user devices or living rooms, even without an original amount of information (e.g. a large number of video data) having to be transmitted or reproduced (particularly in the case of a large number of the first persons). In this way, for example, information overload can be avoided. The method can also be used to counteract social isolation or a lack of emotional interaction between people, in particular in areas that are particularly densely populated or particularly sparsely populated.

In the process, an (uncontrollable, usually undesirable) exchange of explicit information between the user devices or living spaces (e.g. of specific, private or internal, only for people in a own communication group or within a living space specific) communication content and / or contexts, are avoided in whole or in part or (e.g. to a certain extent) limited and / or suppressed. The privacy of the persons can thus be protected (to a desired extent, eg adjustable or controllable by the neural network and/or a predetermined criterion) and/or taken into account (to an expedient or desired extent) and/or shared. An information load or information overload due to an immediate (possibly unintentional) Desired) communication or multiple communications can be avoided or limited to the desired, eg adjustable extent, filtered, abstracted and/or adapted depending on the respective second parameter (eg context, mood, emotion, intention) of the respective second person. In this way, an indirect (less critical) one-sided, bidirectional or multidirectional exchange of influences between people who do not communicate directly, in particular people who are otherwise unknown to one another (e.g. with a reduced amount of explicit information or stimuli) can be made possible.

The method or the corresponding steps of the method can be applied simultaneously or within a comparatively short time interval (e.g. a few seconds, minutes, hours) to a large number of first user devices or first living spaces and/or a large number of second user devices or second living spaces be applied. In other words, an at least partially multidirectional influencing of communication messages (e.g. by determining or adjusting the parameters of the communication messages), e.g. relating to a large number of people, user devices or living spaces (and thus possibly information, thoughts, emotions, intentions ) are executed.

Alternatively or additionally, a trend, in particular a cognitive, emotional or psychological trend, e.g. a sociological trend, a trend in relation to certain media content which includes one or more specific content or forms or stimulates emotions or reactions (e.g. within a selectable number or group of people, living spaces, places, contexts, etc.), insulated or influenced in a certain way, especially dynamically. As a result, e.g. after the method steps have been repeated several times, certain (e.g. cognitive, emotional or psychological) trends, emotional states, needs, behavior or Behaviors, etc. are formed or the formation of which is made possible, favored, changed (e.g. in a certain way) and/or contained. This can be done through different training (e.g. different goals of the training or training with different controls during training) and/or through different operation, e.g. through different control or predetermined optimization criteria, of the at least one trained neural network. In fact, one or more first persons and/or one or more second persons can also help determine a trend (without content as such getting out of their user device or living space or to the second user device or in a unilateral, bilateral or multilateral way way to influence).

A mood or trend suitable for various measurable or not directly measurable circumstances (e.g. current time of day, time, weather, news situation, solar activity, mood in society, etc.) can be used for an emotional state within a group of people or by Group of living spaces, facilitated, favored, sought or influenced. On the one hand, trends of this kind (a large number of user devices, people or living spaces) can only arise as a result of the process, on the other hand they can develop in the process, in particular to a certain extent or in a certain way, e.g. according to an appropriately set up or controlled mathematical context or trained and/or operated neural network, can be changed or adapted.

Furthermore, a measure of the effect of a communication message or a reaction to the communication message (e.g. a communication message with changed or unchanged parameters or with different variants of the parameters) can be determined, in particular depending on or on the basis of a selection from various parameters determined in the process, in particular predicted (i.e. e.g. determined before the communication message is perceived by at least one (second) person as recipient). This can, for example, be dependent on one or more of a large number of the first or second user devices or living spaces a (second) effect or reaction. The at least one neural network is preferably trained and/or operated. The effect of the communication message (e.g. on a specific second person or second person belonging to a specific group of people) or the reaction (e.g. the reaction of a specific second person or second person belonging to a certain group of people) to predict the communication message. This can take place (particularly effectively) if the at least one neural network is trained as a function of a large number of communications and/or reactions by the second person.

The effect or reaction can (in the context of the present document) in particular also be a (specific) sequence of effects or reactions. An effect or reaction (eg measures of the effects or reactions) can be or will be related to certain sections or sections that are or will be selected according to a certain criterion. Determining or adjusting the one or more parameters of the communication message (e.g. creating the draft of the communication message and/or adjusting the specification of the one or more first persons) can take into account such a (determined or predicted, second) effect or reaction (eg such a measure of the effect or reaction) of at least one second person. The effects or reactions can relate (eg predominantly or only) to small or short sections, eg of one or a few words or sentences of text information or a few fractions or seconds of auditory and/or visually perceptible sections. Such effects or reactions can differ significantly from a reaction to media content (e.g. a film, series, program) or communication as a whole. The determination, prediction or generation of the effects or the stimulus of reactions preferably takes place in relation to (preferably several) small or short sections or time intervals.

For example, at least one neural network can be trained and/or operated (used during operation), an effect of the communication message, in particular a measure of the effect on a second person or a reaction of the second person to the communication message, in particular taking into account the state, context, emotion, intent, etc. of the second person. The at least one neural network can be trained and/or operated to predict the effect on or the reaction of a specific second person or a second person belonging to a specific group of people. Furthermore, the at least one neural network can be trained and/or operated to determine or adapt the one or more parameters of the communication message (e.g. to the extent appropriate, e.g. if it deviates from a predetermined condition or from a target value range), with the (at least expected or taking into account certain or adapted parameters, the effect or reaction is changed towards a target value.

Also, depending on a (predicted or actually exerted) measure of the effect on a second person or measure of the reaction of a second person, the one or more parameters of a (the same or different) communication message for another person (e.g. another second person or a first person) can be determined or adjusted. For example, a measure of an effect or the reaction that has occurred, will occur or would occur in a second person to a specific section of a communication or media content, in particular to a communication message, can be determined, in particular predicted. Furthermore (e.g. thereupon) a particularly effective possibility of influencing the second person, in particular a specific second person or a second person from a specific group of people, can be determined.

Such a possibility of influence can be, for example, a relation between a parameter of an event (also to be understood in particular: event), context, scene, emotion, intention in which the at least one communication message is output and/or to one or more parameters of the communication message as such (e.g. identifying the content, channel of perception, etc.). A parameter characterizing a possibility of influencing (eg on a specific second person or second person belonging to a specific group of people) can be determined or taken into account. This can, for example, identify a connection (relationship) between a point in time, an event, context, scene, emotion, intention of a specific type or with specific parameters, one or more parameters of the communication message, and an effect that can be achieved with the communication message. Then, for example in a further step of the method, one or more parameters of the communication message can be determined or adjusted depending on the degree of an effect that will or would occur on a second person and/or a possibility of influencing the second person. For example, an improved, in particular at least approximately the best, point in time, event, context, scene, emotion, intention of the second person can be determined, in which a communication message has an effect, e.g. specific, corresponding to a goal or target value, influence on the at least one second person can be achieved or stimulate the reaction of the second person. For example, depending on the (e.g. current) goal or target value in relation to the extent of an effect or reaction and the (e.g. from the past) determined and/or predicted possibility of influence, a selection, quantity or parameter of information to be output with the communication message or the information or characteristics of the content to be included in the communication message are determined or adjusted. For example, one or more parameters of the communication message can be a selection or parameter a consumer information and/or a so-called product placement (e.g. an occurrence of certain products, features of the products or brands in a program, e.g. multimedia program). For example, a parameter of consumer information or product placement that is generated with the communication message on the second user device can be determined or adjusted in the method. The consumer information can be generated using the one or more avatars and/or in the form of the communication message, eg as a voice message, body language, images, etc. or the communication message on the second user device can comprise one or more parts of consumer information. Avatars of real people (eg one or more first people and/or one or more second people) can be an avatar of a group of people. Such consumer information can, for example, include a certain number of contents, for example from certain databases, for example from a third party, etc. The occurrence, scope, content, output channel, etc. of the communication message or perception channel to be addressed by the communication message, need, action to be stimulated, etc., in particular consumer information output by the communication message, can be determined or adjusted, in particular dynamically.

For example, the communication message can include an offer to the at least one second person, the one or more parameters of the offer, e.g. an offered product or product variant, one or more highlighted features of the product, and/or a condition in the offer, e.g. a feature of the Agreement or the contract for an offer, depending on the degree of an effect or reaction that will or would occur in a second person and/or an opportunity to influence the second person is determined or adjusted.

One or more product placements for media content (which can be output on the second user device or within the second living space), e.g. for a (specific) multimedia program, can also be selected (as a parameter of the communication message or depending on the parameter of the communication message). be changed within a (the or specific) multimedia program. In other words, depending on a large number of the first and/or second parameters, an (initially potential) possibility of influencing, e.g. to achieve a specific effect or stimulate a specific reaction in the at least one (e.g. specific person or person belonging to a specific group of people) second person determined, in particular predicted. Depending on the possibility of influence, the one or more parameters of the communication message and/or a mathematical relationship according to which one or more communication messages are generated, or the at least one neural network with which one or more communication messages are generated, can be determined or adjusted. In such design variants, too, the at least one neural network can be based on a specific effect or reaction, in particular a target value of the effect or reaction (e.g. on specific people or people who belong to specific groups of people and/or a specific second context, scene, emotion , intention, etc.) and/or used to achieve the effect or reaction (e.g. on certain people or people belonging to certain groups of people and/or in a certain context, scene, emotion, intention, etc.). .

The method can (also) be applied to a program to be output, in particular media content, e.g. a multimedia program, in which e.g. a significant or predominant part of the content is essentially already specified or specified, e.g. by the user or already for the user (at least mostly) selected. Media content can be a radio broadcast, a film, a feature film, a media broadcast, a live broadcast of an event, an Internet post, etc. In particular, only a few sections of the program to be output (related to the scope or the overall length), in particular the multimedia program, can be supplemented or omitted by generating the communication messages (also changing certain sections of the media content according to the one or more specific or adapted parameters of the communication message). or be varied.

The at least one (or more) communication messages can be generated, in particular for a running program or as part of a running program, in particular dynamically or almost in real time. Depending on the determined parameters of the communication message, (comparatively short) sections of the program can be modified and/or inserted into the program or removed from the program. For example, consumer information and/or product placement (including in a live or near real-time broadcast or ongoing multimedia program) may be determined or adjusted.

In one example of the method, a program comprising a number of places, in particular “insertion points” provided for this purpose and/or a number of different variants of the sections or contents, in particular a multimedia program, is provided to a number of second user devices. Depending on the specific or adjusted parameters of the communication messages, the said places or "insertion places" (each different) can be filled or one of several variants of the sections or contents can be selected, replaced or omitted. The one or more (second) parameters of the communication messages can each be determined or adapted differently for different second user devices or second living spaces (even in the case of a program running almost in real time). For a multimedia program that is output in various second living rooms or on the various second user devices to a certain extent (and possibly at the same time) to a corresponding extent or consist of the same sections or parts, e.g. transmitted in real time, and include one or more different (each living space-specific, person-specific, context-specific) communication messages.

For example, depending on the said first parameters, e.g. those determined with the first user devices or relating to one or more first persons or one or more first living spaces, consumer information and/or product placements in one of the one or more second user devices or media content output within one or more second living spaces, e.g. within a multimedia program, e.g. within a radio broadcast, a feature film, a sports competition, a show, can be determined or adjusted, e.g. assigned, inserted, omitted according to the one or more of the determined parameters of the communication message, integrated.

In a further development, depending on the one or more first parameters of the first communications, e.g. within the one or more first living spaces and/or on the one or more parameters of the reaction of at least one or more first persons to media content, in particular to a section of media content (e.g. within the one or more first living spaces), a parameter of the communication message characterizing an action, action variants, scene, punchline, etc. within or at the same time as the program output on a second user device or in a second living space (e.g. dynamic or near real-time) can be determined or adjusted. For example, a parameter of the communication message relating to a selection or combination of scenes that are at least partially alternative to one another, individual objects, e.g. image objects, punch lines and/or action variants or action strands of a (generated) communication message or of the program comprising one or more communication messages ( feature film, broadcast, show, etc.) can be determined or adjusted.

The parameters of the communication message can be determined or adjusted by selecting one or more sections of a median signal (e.g. an audio and/or video signal) and/or an order or combination of several sections of a median signal (e.g. audio and/or video signal) and/or by determining or adjusting a parameter of text generation, language generation, image generation, video generation, body language generation (e.g. generation of facial expressions and/or gestures), scene generation, generation of tactile, gustatory or olfactory stimuli. For example, the at least one neural network can be trained and/or operated to generate the at least one communication message by selecting one or more sections of a median signal (e.g. an audio and/or video signal) and/or a sequence or combination of several sections of a median signal ( e.g. audio and/or video signal) and/or by determining or adjusting a parameter of text generation, speech generation, image generation, video generation, body language generation (e.g. facial expression generation and/or gesture generation), scene generation, generation of tactile, gustatory or olfactory stimuli.

For example, a communication message (eg generated on the basis of a specification) can be generated at least partially by means of a selection, processing, combination and/or integration of sections of one or more media content. For example, the media content can also be previously determined, prepared or prefabricated sections (so to speak, blanks). These can, for example, be parts of media or recordings (eg generally known or known to the recipient). For example, the at least one communication message is generated by selecting, processing, combining and/or integrating one or more excerpts from one or more media content (eg films, series, shows, plays, recordings, stories known or unknown to the recipient). The selection, processing, combination and/or integration of one or more excerpts can be done in such a way take place that this corresponds to the specification, eg that (if possible) an effect or reaction corresponding to the specification is achieved or stimulated in the second person.

• - eine Auswahl einer Variante oder eines Teils (Abschnitts bzw. Inhalts) einer oder mehreren Kommunikationsbotschaften kann bestimmt oder angepasst, z.B. kann eine Zusammensetzung der Szenen eines Programms, z.B. eines Films, etc. verändert werden;
• - eine Reihenfolge von zwei oder mehreren Abschnitten innerhalb der Kommunikationsbotschaft kann bestimmt oder angepasst werden;
• - ein Bestimmen oder Anpassen eines Einfügens, Integrierens, Variierens, Parametrierens zumindest eines Teils (Abschnitts bzw. Inhalts) der Kommunikationsbotschaft, z.B.;
• - ein Auslassen eines oder mehrerer Teile einer Kommunikationsbotschaft, bzw. eines die Kommunikationsbotschaft umfassenden Programms. Dabei kann ein Parameter der Kommunikationsbotschaft eine Vorschrift zum Kürzen, Verändern oder Ergänzen der Kommunikationsbotschaft kennzeichnen;
• - Bestimmen oder Anpassen einer Spieldauer und/oder des Detaillierungsgrads einer, insbesondere mittels einer Sprachgenerierung erzeugten bzw. zu erzeugenden, Kommunikationsbotschaft;
• - ein gestalterisches Merkmal, z.B. betreffend ein Generieren einer Sprachmitteilung (aus Silben, Wörter), Melodie bzw. Musik (aus Noten, musikalischen Phrasen, etc.), einer Erzählung (z.B. aus entsprechenden Elementen), Show (aus Szenen), Rede, Gedicht;
• - Einsatz rhetorischer Mittel, z.B. generieren einer rhetorischen Frage, generieren einer (z.B. personenspezifischer, personengruppenspezifischer, kontextspezifischer) Rede;

For example, determining or adapting the communication message can include one or more entries from the following list (in particular the parameters corresponding to the entries):

• - A selection of a variant or part (section or content) of one or more communication messages can be determined or adjusted, eg a composition of the scenes of a program, eg a film, etc. can be changed;
• - an order of two or more sections within the communication message can be determined or adjusted;
• - a determination or adaptation of an insertion, integration, variation, parameterization of at least a part (section or content) of the communication message, for example;
• - an omission of one or more parts of a communication message, or of a program comprising the communication message. A parameter of the communication message can identify a rule for shortening, changing or supplementing the communication message;
• - Determining or adjusting a playing time and/or the level of detail of a communication message, in particular generated or to be generated by means of voice generation;
• - a creative feature, e.g. relating to the generation of a spoken message (from syllables, words), melody or music (from notes, musical phrases, etc.), a story (e.g. from corresponding elements), show (from scenes), speech, Poem;
• - Use of rhetorical means, eg generating a rhetorical question, generating a (eg person-specific, person-group-specific, context-specific) speech;

In particular, a (multimedia) program generated on a second user device or in a second living space, in particular a comparatively long or essentially uninterrupted or continuously perceptible part of the program, can include or be one or more communication messages. In an example of the method, a composition of the genres and/or those acting in a specific way (e.g. strong and/or with specific effects or expected effects of specific types) or reactions with specific parameters (e.g. reaction of a certain type and/or intensity) sections (e.g. of the scenes occurring in a multimedia program) can be determined or adjusted. This can be done by determining or adapting the parameters dynamically, in each case for a large number of the corresponding sections of the communication message and/or for a large number of the communication messages to be generated (on the same second user device or within the second living space).

For example, the at least one communication message is essentially seamless and/or with transitions that are not noticeable or not emphasized by a person, into which further content to be output, in particular into a program, is inserted, combined with it or integrated into it. For example, a composition of a (news) program from individual news reports or the individual news reports or contributions, a story line (e.g.: an "alternative ending", an "alternative scene", optional scenes, optional objects within the image sequences or scenes of the program , certain features of a script), a punch line, a joke, a creative communication message of a communication message (created as part of or together with a multimedia program, added to the content to be output on or in the vicinity of the user device) can be determined or adjusted. In a further example, an essential part of a communication message, e.g. a program output within the second living space or to a second user device, in particular an essential part of an action of an audio or video show, a film, a sports show, in particular almost in real time, can be determined or adjusted as a function of the first parameters relating to a large number of the first user devices or living spaces. In other words, the one or more parameters of the communication message can be determined or adjusted as an audio and/or video cut (within a short time interval, in particular almost in real time). In this case, the one or more parameters of the actions that are usually carried out in an audio cut, a so-called audio mastering and/or in a video cut (as the parameters of the at least one communication message) can be determined or adjusted.

For example, the at least one neural network can be trained and/or operated, depending on one or more first parameters and/or one or more second parameters, one or more communication messages through an audio cut (controlled by the output layer of the neural network) and/or Video editing (e.g. according to the features described above), and/or text generation, language generation, image generation, video generation, body language generation (e.g. facial expression generation and/or gesture generation), scene generation, generation of tactile, gustatory or olfactory stimuli, etc. to generate or adapt.

For example, the one or more parameters (determinable or adjustable in the method) of the communication message identify one or more instructions (e.g. instructions) for reading, merging, inserting, omitting, determining or adjusting the order, and/or integrating, parts (sections , content) within or to one or more communication messages. The instructions can refer to the reading of specific parts (sections, content) or parts with specific parameters that, for example, meet a specific criterion. The parameters of the at least one communication message characterizing (also to be understood in particular: comprising) the instructions can be determined, for example, in the arithmetic unit R2 arranged at a distance. These can be transmitted to the respective second user devices and executed there. For example, depending on the parameters determined or adapted in the process, the communication message can include sections of one or more specific (possibly different, individual or freely combinable) types, e.g. auditory, visual, body language, etc.

For example, at least one neural network can be trained and/or operated to select and/or generate content to be output audibly or visually (this includes in particular corresponding output data, e.g. of sounds, speech sequences, images, video sequences or any parts of various media content to understand), which can be thematically, in terms of content, different in terms of their source and/or independent of each other (which, for example, do not necessarily have to be related to each other).

For example, some of the parameters of the communication message can be determinative for sections to be selected and/or changed (e.g. of existing media content), for the creation or adaptation of new parts of the communication message (e.g. not yet available in this form), and/or for the Joining, integrating the parts or for adjusting selected sections. For example, already existing (e.g. known to the recipient) parts of media content (e.g. movies, private recordings, radio plays, comics, etc.) can be used to generate or adapt the communication message and/or processed with parts of the default or with newly generated parts, mixed or processed dependent on each other. This can take place as a function of the first parameters or second parameters determined in the method (e.g. in each case as criteria which can relate to the first parameter or second parameter). For example, the at least one neural network is trained by the first and/or second parameters (e.g. predominantly from the past) and/or by the first and/or second parameters (e.g. predominantly relating to the current time interval and/or time interval lying in the near future ) controlled. The selection or generation of sections and/or the processing, combination and/or integration of sections can be carried out depending on the at least one neural network. Furthermore, an order, a sequence of the scenes, a logical or dramaturgical link between at least two parts of the original data (e.g. of specific sections, objects in the sections, etc.) can be determined or adjusted. Furthermore, the output data can be divided (e.g. splitting or separating between image and audio channels, individual channels, image objects), various editing actions (e.g. separating the sections into their components), merging, mixing, overlaying, fading, selection, extraction, and /or release of individual objects from the original data, formation of audio tracks, creation of processing levels for image or video files, splitting or merging of sections or individual objects on tracks or levels, combination of sections and/or individual objects from different auditory or content to be output visually, in particular the corresponding output data and various parameters of the actions or effects known from a (manual or automated) audio or video cut are determined or adapted. The execution of the (such specific actions or effects), e.g. in relation to content to be output, can be prompted, in particular by the at least one neural network.

For example, at least one neural network is trained and/or operated to process, integrate and/or combine one or more audio sequences or specific sounds or audio objects from media content with image or video information from other media content, or one or more images , video sequences or certain (e.g. according to the determined parameters internally selected) image objects or video objects from media content with images, video sequences, image objects or video objects and/or audio sequences or certain sounds or audio objects (e.g. selected according to the parameters determined) to be processed, integrated or combined. The combination and/or integration can include a combination or integration of (partial) content or a content-related combination or integration of the parts, eg of individual information (to be output), objects, image parts, etc., eg within one or more communication messages generated simultaneously or sequentially.

Furthermore, the at least one communication message can be inserted or (subsequently) inserted into media content to be output (e.g. on or in the vicinity of the second user device) at one or more points (e.g. specific, intended, ready-made points, so to speak “insertion points”) Places integrated or combined or mixed with the sections at certain points or integrated into them. For example, specific locations, e.g. within a video sequence and/or within one or more individual images, can be provided for audio content and/or video content of the media content, in particular as local image areas or image objects or audio sections. The one or more communication messages or parts of the communication message can be inserted at these points, integrated with them, in particular within the individual audio sections or individual images, and/or mixed with them. For example, (specific or suitable) places in advance, e.g. in the (auditory or visual) content to be output on several second user devices or within several second living rooms, e.g. within a multimedia program to be output, for later filling, replacement or merging with be provided for the communication message to be determined later. These can be overlaid with a certain pattern or a monochrome or patterned in a certain way image area by means of a predetermined (e.g. provided with an identifier, easily replaceable), e.g. Depending on the parameters determined or adapted (e.g. for the respective user device or for the respective living space), the corresponding locations, objects or data sections can be replaced by a communication message (which is different for the respective user device or for the respective living space), e.g or parts, objects, etc. to be replaced are filled, replaced or combined.

The one or more parameters (which can be determined or adjusted in the method) of the at least one communication message can be the instructions for the described actions (e.g. in the form of a data section that specifies the execution of one or more specific processing operations, in particular signal processing operations, or actions for an audio or video editing or analogous actions) characterizes, in particular describes. These actions can be applied, for example, to (auditory or visual) content to be extracted, in particular by means of the first and/or second user device for generating the communication message. In this case, only an auditory or visual part of the communication message (e.g. only or predominantly an auditory output or visual output content) can be filled, left out, replaced or combined. A filling, replacement or combination can be carried out differently for different (second) user devices or different (second) living spaces.

The method can include the execution of an audio and/or video cut for media content (e.g. program based on the data independent of the specification of one or more persons) for output on the second user device or within the second living space, depending on the first parameters and/or the second parameter. One or more parameters of the media content (e.g. an integration of the communication message into one or more sections to be output) can be determined depending on the specification of one or more first persons.

The method can include various actions or work steps occurring during an audio and/or video editing that are known to the person skilled in the art. Depending on the parameters determined, these can be initiated and/or controlled dynamically or essentially in real time in the method. Media content for a second living space or for the output on the second user device (at least in one or more parts influenced by the communication message) can be created almost in real time (automatically, e.g. directly or indirectly controlled by the at least one neural network). become. The one or more parameters corresponding to the actions or the result of the actions can be determined in the form of the corresponding instructions. These can be transmitted to the second user device or applied to the sections or content to be output (available as output data, intended for output) by means of the second user device.

For example, the at least one communication message or at least one personality model or avatar can be operated or made perceptible in conjunction with media content to be output, eg a film, streaming content. This can preferably be made perceptible within, faded in or integrated into a media content. This can be done, for example, by using the audio and video editing described in this document (which is carried out adaptively and dynamically depending on the determined parameters or instructions). The communication message or at least one avatar can be integrated into the media content in such a way that it achieves or reacts as closely as possible to the goal or target value (e.g. according to the specifications of the one or more first persons). stimulates.

For example, one or more parameters of the communication message (e.g. as parameters for generating the communication message or the virtual personality) can be one or more instructions for displaying or integrating the communication message or the avatar in media content, in particular in a (specific or dependent on the specification or target selected) media content, in particular sections, points, in particular insertion points provided for this purpose. For example, one or more parameters of the communication message or for operating the personality model or avatar can identify one or more instructions for action, interaction or the communication message in relation to one or more parts (contents, sections) of the media content.

The method may include determining or adjusting one or more parts (e.g., portions and/or content) of the communication message depending on the second person's response to one or more previous parts of the communication message or a previous communication message. For example, depending on the reaction of the one or more second persons to a part of the communication message, another part of the communication message or one of the next (e.g. the next) communication message can be determined or adjusted. This can be done within a sentence or a phrase of the communication message or in relation to communication messages that follow each other in quick succession. This can be done with or preferably without the (temporary) participation of the one or more first persons. For example, the at least one communication message can include one or more instructions (e.g. instructions) that determine (e.g., adapt) a part of the communication message depending on the reaction of the one or more second persons to a previous part of the communication message or a previous communication message ( especially to be understood: co-determination). For example, the instructions may identify the logic, rule, parameters, actuation of one or more specific functions for generating the portion of the communication message.

For example, a communication message comprising text, language (e.g. auditory output), announcement, music, images can be changed, in particular adapted, in the course of its output or perception by one or more second persons (e.g. to better achieve an effect or reaction). become.

For example (e.g. in the course of the output or perception of the communication message) different variants of communication messages (e.g. for respective persons, contexts, their reactions to previous parts) can be generated. Furthermore (e.g. depending on a change in the respective second parameters) the parameters can be adjusted (e.g. while the one or more communication messages are still being output). For example, the same or different specifications and/or drafts or sent communication messages can result in different communications (with one or more second persons). At the same time, it can be aimed at, in particular achieved, that specific or the same or similar effects or reactions result. Through such examples, the effectiveness and interactivity of the one or more communication messages can be achieved. Furthermore, a communication message can also be of particular interest to the second person as the recipient, because the communication message is at least partly or partly co-determined or co-created by the second person.

The generation of the at least one item of support information and/or coordination information and/or feedback can (optionally) have one or more features described in the present document or a combination of features of the generation of the at least one communication message. Rather, this information is sent to the sender, client, initiator of a communion message or a person who intends to arrange the communication (e.g. according to certain selectable characteristics).

The method can include processing, in particular analyzing, at least two specifications from one or more first persons. The communication message can be generated that (as far as possible, as well as possible or according to certain optimization criteria) takes into account as many or all specifications and/or fulfills a goal or target value for the effect or reaction. For example, a synthesis of as many specifications as possible, in particular all specifications, can be carried out. The at least one communication message can be generated on the basis of the synthesis. One or more specifications can be processed depending on (in particular) respective first parameters and/or second parameters. For example, the at least one neural network is trained and/or operated to process, in particular to synthesize, the one or more specifications. For example, a specification is processed depending on parameters (e.g. in the past and/or current) of one or more (respective) physical impulses.

For example, the one or more first persons can initiate a specification for a communication message or a communication message to one or more second persons. This can also be done with a comparatively abstract specification and/or without knowledge of the (respective, e.g. current or valid at a later time interval) second parameters. This can also be done without knowledge of the media content currently running or to be output (currently or at a later time interval) on the one or more user devices. It can (respectively) wait for a suitable section, place, in particular insertion point, in order to generate the communication message, in particular at the same time as the media content, preferably integrated into the media content, and/or the one or more parameters of the communication message can (respectively) depend on be determined or adjusted at a current or expected location in the media content in the near future. It can be done in such a way that a certain perception effect or a psychological effect (e.g. priming) is influenced, in particular caused, and/or that (possibly as a result) the effect or reaction (in each case) corresponds as closely as possible to the target value.

In a further example, the at least one communication message can be generated, in particular output, by or on behalf of at least one protagonist, e.g. a real person or avatar (e.g. within a film, multimedia program or independently of such). Different communication messages can be generated in the name of a protagonist of a multimedia program who looks essentially the same or similar, e.g. a broadcast, a film or a live broadcast. For example, an identical or similar communication message can be generated in the name of protagonists of a program, e.g. The respective parameters (which characterize the mentioned differences or make up the result) can be determined or adjusted depending on the one or more first parameters and/or second parameters.

At least one parameter of the communication message can depend on one or more information to be output in the environment of the second user device, auditory or visual content, a media program and/or, on the one or more first parameters, in particular first parameters of the communication and/or the Reactions from the one or more first persons and/or from a second parameter relate to the at least one second person, in particular a parameter of their state, emotion, intention, etc. of a context, a communication, in the environment of the second user device, etc. by means of of the at least one neural network are determined or adjusted, are controlled in a simplified case.

For example, the one or more parameters of the communication message (on the one hand) from the content to be output, e.g. from an evaluation of media content, e.g. a film (e.g. from the analysis of the parameters of the effectiveness of certain sections, etc.), and (on the other hand) from the communications and/or responses of one or more (e.g., elected or eligible) first persons are determined or adjusted. For example, the communication message can be generated when the second person perceives (e.g. watching or listening to) media content, with the media content being or was perceived in particular by both the second person and the one or more first persons, with the communication message being dependent generated, in particular controlled, by the body language of the (e.g. distant or no longer accessible) first persons or groups of first persons.

Reactions or states, emotions of the one or more first persons (by means of the communication message or the virtual personality, eg via the body language of the virtual personality) can be transmitted to the at least one second person. The respective bodily movements (of the avatar or the communication messages) can be generated in each case corresponding to or depending on the sections of the media content for which the corresponding first parameters of the communications or reactions of the one or more first persons were determined. A perception of a (possibly even mutual) emotional connection with one or more first persons when perceiving media content can be conveyed (to at least one second person), e.g. as if these persons were watching the media content (e.g. a movie) together . According to the features of the invention, this can also take place if the one or more first persons have already perceived the media content in the past, eg with a time delay or a long time ago, or have reacted to the respective sections.

In a further example, the one or more parameters of the communication message can relate to a perception, effect to be achieved (in particular also desired to be understood, aspired to), and/or a particularly cognitive, emotional or psychological effect (e.g. a specific cognitive, emotional or . psychological effect) of a part of the communication message, and/or a reaction (e.g. an action) to be stimulated by the communication message. This can also be understood in such a way that one or more parameters that characterize a subjective perception by a (respective) second person, the effect on the person or a reaction of the person are determined or sought in the process (possibly without a specific specification). becomes. For example, the perception, effect or reaction can be determined or adjusted in such a way that a goal, in particular an overarching, long-term goal and/or a goal related to a number (multiple) of second persons, is aimed at or achieved. In this sense, different, in particular qualitatively different or opposite effects or reactions can be determined or stimulated for different people or people belonging to different groups of people. This can be done as an alternative or in addition to specifying the effect or reaction (e.g. in relation to certain people or groups of people) by specifying the one or more first people.

Supporting the communication or generating the at least one communication message in such a way that in a (current or expected) context the second person (at least presumably) has an effect (e.g. a specific effect or an effect with specific characteristics) on the at least prompt a second person and/or evoke a response (e.g., a specific response or a response with specific characteristics) that will evoke at least one second person. Furthermore, the effect or reaction can relate to a (e.g. large) number of second persons or groups of persons. It can be a superordinate, abstracted or emergent effect or reaction in relation to individuals or specific people.

For example, a specific effect or reaction, in particular a target value of the effect or reaction, can be specified by the one or more first persons. For example, the specification for the effect can be characteristic of: (e.g. particularly intensive or effective) cheer up, comfort, warn, promote a memory (e.g. a memory of a certain kind or memory of experience of a certain kind) (in particular also to be understood: cause), notice, in particular promote the cognitive process of remembering information (e.g. contained in the communication message or perceptible in the same time interval) (also to be understood in particular: cause). For example, the requirement for the reaction can be characteristic of: (e.g. particularly intensive or effective) stimulating or preventing a response by the (respective, second person) to the communication message, in particular one that corresponds to certain characteristics, and/or the (respective, second) to encourage a person to act or not to act, particularly one that corresponds to certain characteristics.

The communication can be supported in such a way or one or more parameters of the communication message can be determined or adjusted in such a way that the goal or the target value of the effect or the reaction is achieved taking into account the current second parameter and/or the communication message depends on a further course of the second parameters, in particular only when there is a change in the second parameters (eg when certain parameters of the context, scene, whereabouts, state of mind in the environment of the second person is recognized) is generated, in particular output. For example, a target or target value for an effect or reaction (eg in general, per person and/or for specific communication messages) can (also only) be specified. This can take place without specifying a concrete condition in relation to second parameters. One or more communication messages can then only be generated, in particular output, if an effect or reaction (eg a specific one corresponding to a goal or target value) can be achieved. As an alternative or in addition, a condition relating to second parameters (eg as part of the specification by the one or more first persons) can be specified or specified. For example, a condition can be selected when specifying that the communication message (in particular a version of the communication message) is output for specific second parameters (e.g. contexts, scenes or classes of contexts, scenes), not output and/or with an adjustment or as one different version should be output.

In this sense, the at least one communication message can only be generated (e.g. with certain parameters) if or in the event that a certain second parameter that is favorable or necessary to achieve an effect or reaction (e.g. a combination of the second parameters of different types) or a criterion related to one or more second parameters can be recognized.

For example, a specific communication message or a communication message that is intended to have a specific effect or to stimulate a specific reaction can primarily only be generated, in particular output, if a precondition that can be selected by one or more first persons in relation to the second parameter of the ( respective) second person are fulfilled.

For example, a measure of the importance and/or urgency of the communication message can be determined and taken into account. For example, specifications recognized as important and/or urgent can be at least predominantly prompt or almost immediate output of the corresponding communication message. For example, in the case of specifications recognized as less important and/or less urgent and/or as entertainment, at least priority can be given to waiting for the appropriate context, state of mind and/or a stronger interpretation of the specification to be carried out. For example, a communication message can be generated in response to a requirement or draft identified or recognized as urgent, in particular output on the second user device, even if this is recognized as inconvenient or disruptive for the second person in question.

For example, the communication message or its effect or reaction to it can be preconfigured (e.g. by the specification). The preconfiguration can be related to a specific condition that is required to achieve an effect or reaction (on the respective second person or the second person) that corresponds to the goal or target value, or in an abstract form. For example, the specification can indicate that the communication message should only be output if and/or only if the communication message can achieve the specified or expected effect or reaction (e.g. as positive as possible or as close as possible to the goal). . For example, it can be determined and/or marked in the specification whether and to what extent the communication message is urgent and/or important and/or whether and to what extent the priority is on achieving an effect or reaction, in particular versus another specification should be.

• - in einer überwiegend unveränderten Form an die (jeweilige) zweite Personen ausgegeben wird, dessen zweite Parameter zum Lachen über den Witz (als Wirkung bzw. Reaktion) begünstigen oder ausreichen.
• - in einer angepassten Form an die eine oder mehrere zweite Personen ausgegeben wird, dessen zweite Parameter zum Lachen über einen anders gelagerten (z.B. kontextangepassten) Witz begünstigen oder ausreichen.
• - erst später an die (jeweilige) eine oder mehrere zweite Personen ausgegeben wird, dessen zweite Parameter darauf hindeuten, dass die Personen aktuell nicht zum Lachen aufgelegt sind und/oder deren momentaner Kontext zum Erreichen der Wirkung des Wirtes nicht oder noch nicht passt.
• - alternativ oder vor dem Versenden des Witzes eine Prädiktion an die eine oder mehrere erste Personen ausgegeben wird, dass die eine oder mehrere bestimmte zweite Personen oder Personen die zu bestimmten Personengruppen zugehörig sind, den Witz, insbesondere unter Berücksichtigung ihrer aktuellen Umstände, nicht verstehen oder nicht gut finden (z.B. sich über diesen ärgern) werden.

In one example, a certain joke (e.g. to a distributor made up of several second persons) can be caused (by one or more first persons) to be sent (also: given out), whereby this:

• - is issued to the (respective) second person in a predominantly unchanged form, the second parameters of which encourage or suffice to laugh at the joke (as an effect or reaction).
• - is issued to the one or more second persons in an adapted form, the second parameters of which encourage or suffice to laugh at a different (e.g. context-adapted) joke.
• - is only issued later to the (respective) one or more second persons, the second parameters of which indicate that the persons are currently not in the mood to laugh and/or whose current context is not or not yet suitable for achieving the effect of the host.
• - alternatively or before the joke is sent, a prediction is issued to the one or more first persons that the one or more specific second persons or persons belonging to certain groups of persons do not understand the joke, in particular taking into account their current circumstances, or not find it good (e.g. angry about it).

For example, a precondition for a part of the communication message can relate to the effect on one or more second persons or reaction of the one or more second persons. This can be achieved by specifying or (automatically) determining or adapting a statement (instruction) assigned to the part of the communication message.

A specific precondition or preconfiguration (preferably) abstracted from specific second parameters can be specified. For example, this does not have to include a specific concrete condition, e.g. such a condition that should not or must not be disclosed to the one or more first persons. For example, it is not necessary to specify a condition that is too specific (e.g. related to specific facts). For example, it can only be specified that a communication message with a joke is then or only then output when the joke will achieve the intended effect. It could (but does not have to) be specified that the joke should only be given out when a specific condition is met, e.g. in a very specific context or when the second person in question reaches a certain alcohol limit.

For example, a specification for a communication message or a specific communication message can be specified by one or more first persons. One or more second persons (e.g. from a mailing list) can then be selected and/or excluded for whom the communication message will (at least presumably) lead to an effect and/or reaction corresponding to certain or certain characteristics.

In particular, persons or identifiers of persons (e.g. names, symbols, avatars, etc.) can be divided into several groups, which are characterized by different or different characteristics corresponding (probable) effect or reaction to the communication message. For example, information identifying the selected, excluded or divided into specific groups second persons (e.g. after the input or generation of at least one draft of the communication message and/or before the communication message is output to the second persons) can be output to the one or more first persons become.

The method can be applied particularly effectively to the number of second people, e.g. subscribers, friends, distributors of over 100, 1000 or 10000 people. The procedure can be used to avoid a large number of (otherwise very probable) undesirable effects.

The statements below in relation to the generation or adjustment of the at least one communication message or the determination or adjustment of the parameters of the at least one communication message can be related in a corresponding manner to the support of the communication. The communication message can be understood as a section of the communication.

For example, the at least one neural network can be trained and/or operated, a parameter of a cognitive, emotional and/or psychological effect or effectiveness, an action, interaction and/or a section of a communication or communication message can be determined or adjusted. The parameter or the effect can indicate an impact, effectiveness, effect to be achieved with the communication message, whereby the effect, effectiveness or effect, in particular on one or more specific groups of people, e.g. people of a certain age, gender, people with certain interests , etc. (of the persons who are users of the method or correspondingly set up second user devices or who are, at least with a certain probability, in the corresponding second living quarters).

For example, the at least one neural network can be trained and/or operated a specific, desired measure of the effect or reaction, in particular a subjective effect (on which at least one specific second person or person belonging to a group of people) is determined by means of the communication or The communication message is effected (exercised) in the given or expected context (for the current or future time interval) in the environment of the second user device, the state of the respective second person and/or the situation on the second user device or in the second living space to achieve or comply with the information, content or sections to be output. The at least one neural network can be trained and/or operated to determine or adapt the parameters of the communication message in such a way that the effect or reaction will be as close to the target value as possible. The dependency of the effect of the communication message or reaction to the communication message can depend on the corresponding parameters (e.g. change in perception evaluation, cognitive, emotional or psychological priming) are at least partially corrected.

In one example, despite completely or partially different (so to speak "raw") information to be output, auditory or visual content to be output (e.g. to be output at different time intervals and/or on different user devices), quantitatively and/or qualitatively at least similar effects, in particular certain effects, e.g. in relation to certain people or people belonging to certain groups of people, are aimed for, achieved or changed to a (respectively) selected target value. In other words, an in particular subjective effect of a communication message or the induced reaction can be at least partially independent or decoupled from the (e.g. auditory or visual) content to be output, in particular from approximately the same content, from approximately the same selection of content, e.g. content or sections of a (live) transmission, can be determined or adjusted. The at least one neural network can also be trained and/or operated to restrict, enhance and/or (e.g. to a desired extent) change, in particular stabilize, the effect or reaction.

For example, the at least one neural network can be trained and/or operated to change parts (e.g. sections or contents) of an e.g. essentially already existing or predetermined program or the data of an essentially already existing or predetermined program. This can be done in such a way that the perception and/or (e.g. cognitive, emotional and/or psychological) effect of the communication message or the reaction to a section of the communication or the communication message is influenced. The influence can take place in such a way that the effect or reaction corresponding to a goal or target value (e.g. on the person, number of people, for example: tending to be local or global) is sought, in particular achieved. In other words, one or other perceptible content or a further perception (e.g. one or more perceptible stimuli) of the respective second person can be changed in order to then (e.g. subsequently) achieve an effect through the communication message or reaction to the communication message. For example, media content or data on the sections of media content to be output on the second user device can be appropriately influenced, e.g. selected, omitted, excluded, inserted, replaced and/or changed (possibly also with any other rule or method). become. These can form a prime stimulus to achieve the effect or reaction with the communication message.

For example, a parameter of a communication message (determined or adjusted in the method, e.g. in step 8 of the method) can be a specific splitting, shortening, mixing, integrating and/or merging of a communication message or a corresponding part (section or content) of the one or characterize or specify a multimedia program (new, generated or adapted in the method) comprising a plurality of communication messages.

For example, the at least one neural network can be trained and/or operated to determine such a parameter (value) of the communication message in the method and a splitting, shortening, mixing of one or more multimedia programs corresponding to the determined parameter and/or a (possibly renewed, in particular modified, integrating and/or merging of, in particular at least partially (by determining or adjusting the parameters) modified, parts of content or sections of one or more communication messages (to be generated) and/or additional media content on the second The one or more parameters of the communication message can be data identifying the instructions (also: to be understood as instructions) for processing, e.g ) to be imported (contents or sections). A priming or one or more specific psychological effects can be aimed for, in particular achieved.

In the method (eg by the at least one appropriately trained and/or operated neural network) a combination (or a combination) of a communication message from and/or with certain elements, eg at least partially from short or very short sections, can also be carried out. For example, depending on the parameters determined in the process, the communication message can consist of the audio and/or image content, which is primarily short in itself, for example with a playing time of approx. 0.1-0.9 seconds, 1-10 seconds, 10- 30 seconds which, for example, are not works of art in themselves or are not protected by copyright, can be combined or modified. In particular, the determination or adaptation of the communication message can only be based on one (individual, specific, selected, after certain characteristics selected) section of a program (audio program, film, etc.). In other words, a media content (including a multimedia program) can be characterized by one or more communication messages (generated and determined in the process) or according to the parameters of the communication message determined or adapted in the process in sections or in relation to certain parts (contents or sections) to be changed.

For example, the method can be carried out in such a way that a stimulus (present, expected or generated in the environment of the second user device) will be a priming (in particular also to be understood as: priming) stimulus for processing the communication message and/or the communication message will be a priming (in particular also to be understood: stimulus for processing the further stimulus will be. In particular, the stimulus (possibly already present, generated, selected, adapted or yet to be generated) and the (generated) communication message can occur or be output within a time interval of a few milliseconds or seconds. This can result in a (particularly strong) priming effect or the effect of the priming produced in this way. For example, said stimulus can be semantically similar words, rhymes and/or parts (sections or contents) that can be emotionally associated with the content of a communication message (still to be generated or output), in particular images, image sequences, sounds, scents, tastes, tactile stimuli or Include patterns from such stimuli or vice versa.

In particular, one or more parameters of the at least one communication message (and/or the additional stimulus) are determined or adjusted in such a way that an additional stimulus (e.g. a part of the additional media content and/or an additional part of the communication message includes an additional or different communication message). priming stimulus for part of at least one communication message forms and/or part of the communication message forms a priming stimulus for another stimulus. For example, the parameters of the additional stimulus (which was perceived by the respective second person, is currently being perceived, or is at least likely to be perceived) are determined or adjusted. This can be done in order to achieve or change an effect or reaction. The effect of a section of the communication or the communication message and/or the further stimulus or the reaction to the communication message and/or to the further stimulus (e.g. according to the specification, the goal or target value) can be influenced, achieved or changed become.

For example, the (e.g. cognitive, emotional and/or psychological) processing, in particular the evaluation of the communication message and/or the further stimulus can be influenced by the respective person. The processing by a second person can include or be cognitive, emotional and/or psychological processing, in particular associating, evaluating, remembering, forgetting, being more or less attentive (e.g. regarding certain parts of the communication message). For example, this can be done in such a way that (through the processing, in particular the evaluation) an effect or reaction corresponding to the goal or target value is sought, in particular achieved. Processing means in particular cognitive, emotional and/or psychological processing by a person (e.g. one or more specific second persons). The processing can differ from the, in particular subjective, perception by the person and/or from a, in particular subjective, perception effect and/or go beyond perception. In particular, the processing includes complex cognitive (mental), emotional interpretation or various processes known from cognitive science or psychology. For example, the processing (e.g. interpretation) of a communication message coming from one or more first persons or identified as such can be predicted and/or influenced (e.g. according to the specification) by one or more second persons. For example, a predicted deviation from a target or target value can be reduced. The corresponding psychological processes can be taken into account or influenced (explicitly or implicitly) in the method, in particular with regard to the resulting effect or expected reaction.

In one example, one or more temporal parameters, order and/or sequence of the parts (e.g. sections and/or content) of the communication message (which are generated in particular from or according to the specification of the one or more first persons) can be determined or adjusted. The processing of the communication message can be influenced by one or more second persons and/or a priming can be effected (also to be understood in particular: changed).

The priming can be generated in such a way that one or more parts of the communication message and/or one or more stimuli occurring in the environment of the second user device (e.g. a currently existing, expected or to be generated) stimulus one or more priming stimuli for a (further) forms part of the communication message. In one example, such temporal parameters, order and/or sequence can be determined or adjusted for several parts of the communication message (e.g. in a draft of the communication message) or in a sequence of communication messages that the processing of at least part of the communication message by the (respective) second person by whom one or more priming stimuli are influenced. Alternatively or additionally, part of the communication message can be generated in order to form a priming stimulus for one or more parts of the communication message or for a further stimulus. This can be done without there being (explicitly) a specification, information to be transmitted or a factual aspect.

The term priming (also to be understood in particular: priming) can be understood in the context of the present document as influencing the cognitive, emotional and/or psychological processing of at least one person. In particular, the term priming or priming is to be understood in the sense of the corresponding term from the psychologist. In the process, the effect of priming can be triggered or varied with a specific goal or to achieve a specific goal or target value. Various or appropriate cognitive, emotional or psychological effects can (e.g. by means of priming) be triggered, influenced or (e.g. according to the specification, goal or target value of the effect or reaction) varied qualitatively and/or quantitatively. This can be done using at least one appropriately trained and/or operated neural network. Affective, semantic, and/or responsive priming can be performed in the method. In particular, the at least one neural network is trained to determine or adapt a variant of the priming and/or parameters of the communication message and/or the further stimulus. This can be done in such a way that an effect on the person (e.g. corresponding as far as possible to the goal or target value) or reaction of the respective person is aimed for or achieved through the priming at least partially (e.g. in each case to an appropriate extent).

For example, the at least one neural network can be trained and/or operated to determine the influence of one or more of the second parameters or another stimulus (e.g. part of another media content) on the effect of the communication message or the reaction to the communication message, to predict and/or to take into account when striving for or achieving an effect or reaction (e.g. a specific one corresponding to a specific goal or target value). The neural network can be trained and/or operated to optimize the (e.g. overall resulting) effect or reaction to specific goals or target values. This can also be done through training if the underlying (very complex) cognitive, emotional or psychological processing of the (e.g. complex) communication message or the (e.g. complex) stimulus by the respective person cannot be adequately described or predicted by general rules permit.

In particular, a parameter of the additional stimulus can be determined or adjusted in such a way, in particular an additional stimulus, in particular a stimulus that initiates, can be generated with the parameters such that it activates one or more implicit memories of the (respective, second) person. In particular, such a stimulus can be generated that activates general, person-specific, person-group-specific, context-specific (suitable for the respective context or particularly active and/or particularly strongly associated) memory contents. Different communication messages, additional stimuli or combinations of communication messages and stimuli can be generated (e.g. for different second persons, their states, contexts). For example, one or more parameters of the communication message can be determined or adjusted (or the communication message can be generated in such a way) that a part (e.g. section or content) of the communication message and at least another part (e.g. section or content) of further media content , in particular from another source, from another medium, and/or to another perception channel (of the respectively perceiving second person) addressing mutually corresponding associations. If necessary, a reference (e.g. in the cognition of the perceiving person) to certain and/or mutually corresponding memory contents can be sought, in particular achieved. This can be done by training and/or operating the at least one neural network. For example, the evoking of certain associations in the perceiving person can be predicted or achieved.

The priming stimulus (or stimulus used as priming stimulus) can be a person-specific, person-group-specific or context-specific stimulus. This can be determined or adjusted depending on the respective second person or person belonging to a specific group of people, the second parameter, for example the second context. The priming stimulus (or stimulus used as a priming stimulus) can, for example, be a stimulus that (e.g. in the case of a specific second person or a second person belonging to a specific group of people (at least presumably) to a certain extent than in itself is evaluated correctly (e.g. as correct or incorrect), and/or is associated with an experience or memory corresponding to a certain characteristic, and/or causes (e.g. triggers) an emotion corresponding to a certain characteristic.

• - richtig ist bzw. als richtig wahrnehmbar ist, und/oder
• - mit einer positiven Erfahrung bzw. Erinnerung assoziierbar ist, und/oder
• - eine überwiegend positive Emotion bewirkt; UND/ODER
• - als unrichtig ist bzw. als unrichtig wahrnehmbar ist, und/oder
• - mit einer negativen Erfahrung bzw. Erinnerung assoziierbar ist, und/oder
• - eine überwiegend negative Emotion bewirkt;

For example, a priming stimulus includes a part (e.g. section or content) which (e.g. as such or in itself):

• - is correct or can be perceived as correct, and/or
• - can be associated with a positive experience or memory, and/or
• - causes a predominantly positive emotion; AND OR
• - is incorrect or can be perceived as incorrect, and/or
• - can be associated with a negative experience or memory, and/or
• - causes a predominantly negative emotion;

For example, the priming stimulus (as a part that plays the role of the priming stimulus or is used as such, e.g. a part of the communication message or the further stimulus) can differ from the part of the communication message (e.g. in terms of its content and/or form). or be independent of it. This can, for example, be generated for perception on a different perception channel (of the respective second person) than the part whose processing is influenced. For example, the priming stimulus can be a tactile stimulus, an olfactory or gustatory stimulus and/or physical stimulus. For example, such a stimulus can be used to prime a communication message comprising text, speech, images, sounds. The processing of specific parts or parts of the communication message corresponding to specific criteria can be primed by the respective second person by means of the additional stimulus. Different parts of the communication message can be primed differently. For example, part of the communication message can be combined and/or primed by means of a physical impulse (e.g. generated by means of at least one personality model or avatar), for example affirmative and/or negative body language. For example, an influence (e.g. specific, corresponding to a specific goal or target value) on the processing, effect of the part of the communication message and/or reaction to a part (e.g. the communication message issued in the same time interval or the next communication message, etc.) can be sought, in particular be reached.

In particular, the priming effect can be determined or adjusted, in particular with regard to its type and/or intensity. For example, a parameter (to be determined or adapted) of at least one communication message characterizes a feature of a further stimulus (e.g. section and/or content) which can be (e.g. at least potentially) primed with the communication message, should be primed or is primed. The further stimulus may, in particular, belong to a further (e.g. one of the next, e.g. planned, probable) communication messages or further media content (e.g. on the user device of the respective second person). , from one or more first persons, is independent of the data transmission of the communication messages. This can come from another source or another person, come via another data transmission channel or be perceptible from another perception channel of the second person. The priming stimulus or the primed stimulus may include or be associated with a piece of consumer information, a feature of a placed product (e.g., in the context, experience or thought content of the perceiving person) be associable.

The priming stimulus can be at least partially consciously perceptible and/or at least partially not consciously perceptible, in particular subliminal. With a stimulus that is not consciously perceptible, a subliminal perception can occur.

Alternatively or additionally, a focus of observation and/or a degree of mental abstraction (e.g. versus detailing) in the processing of the respective person can be influenced by the priming stimulus. As a result, various psychological effects (e.g. already known from psychology) can be favored or achieved.

Alternatively or additionally, a framing effect can be brought about in the one or more second persons. By determining or adapting the wording of the communication message (eg with the same or similar content), different effects or reactions of the (respective) second person can be sought, in particular achieved.

For example, the at least one neural network is trained and/or operated to determine or adapt a priming stimulus, in particular as a function of first parameters, second parameters and/or a target or target value relating to the effect to be achieved or the reaction to be stimulated. Furthermore, such a stimulus or a part of the communication message (eg with a suitable time parameter) can be triggered depending on the output layer of the neural network.
For example, to generate several communication messages from different first persons to different second persons, the same neural network, in particular trained and/or operated for the specific persons or groups of persons, or an interconnection or system of several neural networks is used. The neural networks can at least partially (unilaterally or mutually) control and/or exchange or update learning data. For example, parameters of several communication messages (e.g. to or from different people) can be determined or adjusted depending on one another or depending on the same neural network or a (direct or indirect interconnection of several neural networks. It can be sought, in particular, that a communication message forms a prime stimulus for another communication message.For example, at least two communication messages can be generated (e.g. on a second user device or for the same second person) which differ by the respective first persons (e.g. by sender, person responsible or person represented), where one of the at least two communication messages forms a prime stimulus for another communication message. The goal or target value can refer to the overall effect or reaction to be achieved. Alternatively or additionally, a statistical or emergent effect (e.g. in relation to a number of people) are aimed at.

The method can include favoring or reducing (to be understood in particular as inhibiting, avoiding) a specific cognitive, emotional and/or psychological effect or state of (the respective second) person or one that corresponds to specific criteria. For example, a specific relationship between an ability of the respective person, in particular in their current state, context, etc., and the complexity of the communication message can be sought, in particular achieved. The ability may be or include an ability to perceive and/or process (e.g., receptiveness, understanding, interpreting, remembering) the communication message. For example, a measure of the complexity of one or more communication messages can be determined or adjusted in such a way that they (e.g. in the case of the specific person, person belonging to a specific group of people and/or in the case of specific second parameters) have a specific relationship to the one or more measures of the abilities of the person. This can be done according to a predetermined formula or standardization rule.

For example, the one or more parameters of the communication messages can be determined or adjusted in such a way that the one or more second persons (with regard to the processing of the communication message and/or reaction to the communication message) are placed or kept in a state between being underchallenged and being overchallenged . Such a state can include a mental deepening and/or immersion in the processing of the communication message, reacting to the communication message, and/or the (resulting) communication or interaction. For example, the state of flow can be aimed for (in the case of the person concerned), in particular it can be brought about. A state of the (respective) second person is preferably aimed for, which involves the participation of the person in perceiving and processing the communication message (especially in the respective context), an effort by the person to the greatest possible extent above an under-challenge and to the greatest possible extent below an over-challenge effected or maintained. This can lead to improved communication success.

For example, a thought process or the way in which the processing of the communication message (in the case of the respective second person) takes place (also to be understood in particular: will at least probably take place) can be influenced. For example, at least one thought process can be favored and/or at least one thought process can be suppressed or avoided. Such thought processes can correspond to so-called fast, automatic, always active, emotional, stereotyping, unconscious thinking (Kahneman's system 1) or slow, strenuous, rarely active, logical, calculating, conscious thinking (Kahneman's system 2). Alternatively or additionally, a so-called cognitive ease, a so-called ideomotor effect, a halo effect or WYSIATI (eg when processing at least part of the communication message) can be promoted or reduced in the respective person. Furthermore, one or more other effects, tricks and/or methods of rhetoric can be effected. These can be effected in a manner corresponding to what has been said above.

By taking the second parameters into account or by training and/or operating the at least one neural network depending on the second parameters (which are not known or do not have to be known to the one or more first persons), effects or reactions can be predicted in a predictable manner , adaptable and/or commensurate with the goal or target value.

For example, determining or adjusting a parameter of the communication message as a selection, change, integration and/or combination of parts (sections or content) that are particularly suitable for the time intervals that are characterized by the corresponding time parameters (PAM2) and/or for further content to be output (on the corresponding second user device or within the second living space), e.g. for a multimedia program selected by a user or for the parts of the communication message. This can be done in such a way that the resulting (cognitive, emotional and/or psychological) effect of the communication message or the reaction to the communication message (under the influence of the modified further perception of the second person) corresponds to the target value as far as possible. Such time parameters, e.g. time intervals that are suitable for the output of a section of the communication message, or criteria according to which certain sections or parts of content are suitable, can also be determined, e.g. depending on the second parameters (determined by means of the respective second user device). These can be taken into account, determined or adjusted dynamically. This can also be done in the sense of an effect corresponding to a goal or target value (on the at least one second person). For example, the parameters of the communication message and/or the further content can be determined or adjusted in such a way that an (overall) resulting effect corresponds to the goal or the target value. It can be taken into account or specifically brought about that further content for the communication message or the communication message for the further content results in or forms a (e.g. appropriate, suitable) perception background.

For example, time parameters can be determined or adjusted depending on a second communication (e.g. detected by means of the respective second user device, e.g. taking place in the second living space), another audio signal, other media content, i.e. in the vicinity of the second user device or within the second living space become. A period of time, a time interval, in particular identifying a start and/or end of output, an expedient combination of sections to be output can be determined or adapted (in each case). Such sections themselves can be based, e.g or generation of an action).

For example, (e.g. by means of the at least one appropriately trained and/or operated neural network) on the basis of or using one or more programs received or read in (e.g. one or more multimedia programs and/or one or more infotainment programs) and/or from a large number of diverse contributions, news on various topics, interviews, entertainment contributions, factual content of various kinds, consumer information, one or more effects or reactions are aimed for, in particular achieved. An appropriate sequence of the sections or parts of communication messages and/or parts of programs can be generated on the second user device or within the second living space (e.g., so to speak, “suitably put together”).

The first or second communication in the vicinity of the first user device or the second user device or within the first living space or within the second living space is in particular verbal communication without technical means and/or non-verbal communication, e.g so-called body language, gestures, facial expressions, etc. The first or second communication can affect at least two people in the respective living space, in particular in such a way that at least one person is at least temporarily a sender of a communication message ("speaker"), a recipient of the communication message ("listener ") or alternately or at about the same time is a sender and receiver of the communication messages ("speaker and listener") within the communication. In other words, a section of the communication is, in particular, a or several communication messages exchanged directly (eg acoustic and/or body language) between the at least two people in the vicinity of the respective user device or within the respective living space. Furthermore, the first or the second communication can be a communication in which at least three people are involved. A person in the context of this document is to be understood in particular as a person or an animal, eg a pet.

The communication can also be a monologue, with at least one potentially or probably listening or watching person (an at least potential listener or viewer) within the respective first (or second) living space or in the vicinity of the respective first (or . second) user device is located. The communication preferably includes a dialogue between at least two people located in the vicinity of the respective user device or within the respective living space, or multidirectional communication between three or a large number of people. In particular, at least one section of the communication includes a spoken message or the sounds of one of the people intended for communication, which express, for example, a feeling, will or evaluation of the person (e.g. regarding a section of the communication or the media content). It can be communication sounds such as interjections or exclamation words, whereby the spoken message or the sounds of the at least one person present in the living space or in the vicinity of the user device, in particular to at least one other person present in the living space or in the vicinity of the User device located person are intended or addressed. The communication is preferably a communication that takes place at least partially bidirectionally or multidirectionally and comprises verbal and/or body language messages.

The determination, in particular the prediction of the parameter of said communication can take place with the means directly or indirectly (e.g. through an appropriately set up data connection) connected to the respective user device (located in the vicinity) or networked, e.g. a sensor device, other networked sensors, computing units . Such a connection or networking can, for example, take place via a bidirectional, multidirectional, wireless connection with or without a central server, a computer, a router or a hub with or without an extended functionality for executing the method.

For example, the determination, in particular the prediction of the (first or second) parameter of the (first or second) communication can be carried out at least partially with the (first or second) user device or with the devices operated (operable) in the living space, in particular with an electronic system of the means connected to the living space or via a network, e.g. microphones of a hands-free device, e.g. a microphone of a telecommunications application, one or more cameras, e.g. a camera for operating a television set or display device for videos, or another sensor.

One or more first parameters and/or second parameters (e.g. of the respective communication) can be obtained from data from one or more sensors operated in the respective living space and set up to perform a further functionality, e.g. sensors, computing units, data storage of a so-called smart home system, or the sensors of the user device can be determined. Such an electronic system (in particular a subsystem of the system) is also to be regarded in particular as the (first or second) user device. Also, determining, in particular predicting the (first, second) communication and/or determining a parameter of the reaction of the at least one person to a portion of the communication or to a portion of the media content, by means of the (first or second) of the Person worn user device done. An electronic device that can be worn on the body of the (first or second) person or possibly connected to the body, e.g. a so-called smart watch or smart closes, can be used in this case as the corresponding user device or means of the user device is to grasp.

A parameter of the communication or the reaction of the at least one person can comprise a sequence of several parameter values, e.g. These can relate, for example, to the recent past, for example to the current point in time, and/or to the near future (e.g. as a prediction). For example, a parameter of the communication may also be a measure of the change in values of a particular parameter over time (e.g. dependent on a time-related quantity) and/or with respect to a space-related (e.g. spatially varying) quantity, e.g. direction and/or distance, e.g. within the environment of the user device or the respective living space.

At least one parameter of the verbal communication between the at least two people can also be changed depending on a recognized body language expression, e.g detected, recognized, classified) scene are taken into account. Verbal and body language parts belonging to a communication, in particular to a respective section of the communication, are preferably determined, evaluated or taken into account together or independently of one another. For example, a parameter of a verbal, linguistic part of a communication is determined or taken into account depending on a parameter of a (in particular accompanying, taking place in the same time interval) non-verbal part of the communication (or vice versa).

For example, the physical emotion, change in body language (facial expressions, gestures, voice, etc.) of at least one (first) person in response to a specific section of the communication and/or in response to a specific section of media content can determined in the environment of the (first) user device or within the first living space and (as the at least one parameter of the reaction of at least one person) taken into account in the method. The physical emotion, body language expression, body language or the reaction of at least one person can include a so-called micro-expression (a short, largely involuntary change, e.g. in the face, in the eyes). For example, a parameter of physical agitation, body language expression, body language or the reaction, in particular explicitly, takes into account a parameter of microexpression. In particular, parameters of a, e.g., comparatively gross motor and/or (typically) consciously controllable physical stimulus can be differentiated from the parameters of a (typically) unconsciously controllable physical stimulus or be taken into account differently.

When determining or processing at least one parameter of the communication, the reaction of the at least one person, and/or when evaluating or interpreting at least one section of the communication, the scientific relationships known, for example, from NLP (= neuro-linguistic programming) can be taken into account. These can be mapped or taken into account mathematically in the process, e.g. For example, one or more aspects of a communication message, a so-called transaction or a sequence of transactions (depending on such scientific contexts or a corresponding model) can be evaluated. For example, the at least one neural network is trained and/or operated to determine or process at least one parameter of the communication and/or the reaction of the at least one person and/or when evaluating or interpreting at least one section of the communication. The communication can preferably be an individual communication specific to the one or more respective (first or second) persons or group of persons. As a result, a more precise or more intensive effect or reaction can be achieved with a communication message. become.

In particular, said (first or second) communication can be assumed if the corresponding sound waves meet a specific precondition. For example, the at least one precondition may relate to certain limit values in relation to parameters of a certain type. For example, the at least one precondition can relate to one or more specific propagation properties or direction of propagation of these sound waves. For example, a first and/or second communication is only assumed if certain directional parameters of the communication and/or propagation property or direction of propagation of the sound waves in a corresponding living space or in the vicinity of a user device meet a precondition. Said communication can also be assumed if or only if there is at least one (predetermined, known and/or learned from historical data) pattern in the parameters of the acoustic sound waves and/or in a physical movement of a person or two physical movements is or will be recognized or recognized by at least two people.

For example, it can be determined that a localized source of the sound waves with a spatial position, e.g. with a (further) sensor, of at least one person in relation to the user device, or within the living space or in relation to a specific spatial area of the living space is sufficient coincides, and/or that the sound waves are not directed to a voice control application and/or are directed to a further area of the room or (at least with a certain probability) to a further person. It can then be assumed, at least with an increased degree of probability, that (in the case of a section of the sound waves) a communication or reaction by at least one person is involved.

The at least one personality model or avatar can have different, in particular switchable, functionalities or roles. The communication message, the personality model or avatar can (e.g. in addition to the properties of a real person) functionalities or roles of a personal assistant, family assistant, virtual child, virtual mythical creature, a virtual animal, virtual babysitter, "virtual mom", "virtual dad". Virtual (sick or elderly) carer, virtual sparing partner or trainer, virtual actor, virtual cabaret artist or comedian, virtual consultant, virtual teacher, virtual entertainer, virtual geisha, virtual agent, e.g. a security agent, a sales agent, virtual protagonist within a film or a multimedia program. The at least one communication message can be generated by means of one or more (such) virtual personalities or for the perceiving person in the name of such a personality model or avatar or from a corresponding role or can include a personality model or avatar. In a simplified example, a personality model or avatar is operated (and the output is generated) for information to be output, an auditory or visual content, according to a predetermined dependency.

For example, the communication message can include a form of communication, e.g. a voice and/or a physical emotion, in particular body language of the avatar. The at least one communication message, e.g. an auditory message or voice message, can include or be artificially generated, simulated or artificially improvised content, e.g. entertainment content, jokes, punch lines, represented in particular by the voice and/or physical emotion of the avatar. The at least one communication message can include information represented or expressed by speech, generated images, or alternatively or additionally by sound sequences, melodies, noises, images, image sequences, videos.

For example, an avatar or a communication message corresponding to it or generated in its name can be augmented or projected (in the corresponding environment or in media content). The at least one avatar can preferably perform actions on real or virtual objects or interact with them.

In the context of this document, the term “auditory message” refers in particular to: an auditory message representing information that can be transmitted acoustically (to be output using technical means) that is intended to be interpreted or understood by people. The communication message can be the auditory message or include such a message. An auditory message can preferably include relatively complex information. It can be such an auditory message with which a large number of different or finely differentiable meanings and emotions can be conveyed. The auditory message preferably includes or is at least a voice message. The voice message can, for example, include one or more so-called transactions (by analogy with the so-called communication transactions, which are known, for example, from communication sciences).

An auditory message, in particular the voice message, can include artificial, for example computer-generated, in particular interactively generated, voice content of the virtual personality. For example, the auditory message can be an announcement generated by one or more avatars, textual information, question, opinions expressed verbally, etc. These can be generated e.g. with, depending on, or based on the data of a house computer, "smart home computer" or any data of the user device and in particular the content to be output or the output data for generating the communication message, in particular the auditory message .

The method can include that the at least one neural network is trained and/or operated, a state (e.g. a variable that has an emotional state, an ego state, ego state, behavioral state, etc.), a state change, in particular a state transition (e.g. from or to a certain state) and/or a condition for a condition for a (certain) state change of a personality model or avatar or a state or state change of a generator of the communication messages. In this case, one or more parameters of the status, status change or the condition for a status change of the personality model or avatar or the generator of the communication message can be understood as the one or more parameter of the communication message.

Several discrete, combinable or at least partially overlapping states for operating the personality model or avatar can be defined and/or controlled (also to be understood in particular: caused or caused). In this case, a certain effect of the corresponding, from the state or state change of the operated personality model or avatar and/or the generated communication messages are aimed at or achieved in the process.

This can also be done without having to change information to be transmitted to a second person with the communication message (“pure” or not bound to any specific form, so to speak “informal”), e.g. a factual aspect of a message of the communication message. E can only or mainly the parameters of the communication message or parameters of the generator or the personality model or avatar be determined or adjusted that influence an output form, e.g. voice, gestures, facial expressions, etc., with which information to be output is issued or with which communication message is conveyed or other aspects of a message (appeal, self-disclosure and/or relationship aspect) are determined or adjusted, e.g. in such a way that a certain effect or reaction (at least probably) is achieved.

For example, the behavioral characteristics of the personality model or avatar and/or the communication message generated by the avatar, in particular by means of voice generation, can correspond, for example, to the so-called “ego states” of a person known to a person skilled in the field of personal communication, as well as the corresponding typical ones Actions, reactions, words, word sequences, linguistic constructs in a scientifically reproduced form. These can (e.g. to the states of the personality model or avatar or the language generation described in this document) be summarized or assigned to them. The states can be characterized in that they (e.g. for human perception or for the perception by a specific person or person belonging to a specific group of people) are summarized or combined as matching or related characteristics, e.g. of the behavior become.

The one or more parameters of the at least one communication message can be generated depending on the status and/or status change of the personality model or avatar. The state and/or state change of the at least one personality model or avatar can depend on the one or more parameters of the one or more (first or second) communications and/or depending on the one or more parameters of the reaction of the at least one (first) Person to be determined or adapted to a media content. A personality model or avatar can be set up to behave at least partially in accordance with one or more models (known per se or developed further), e.g. a so-called stimulus-response model or a Riemann-Thomann model. The parameters of such a model that are specific to the respective person can be taken into account, in particular at least partially simulated.

For example, the at least one communication message can be generated by means of and/or in the name of an avatar (a second one that appears or acts, generated with the second user device or within the second living space). This means in particular that the one or more communication messages (in the perception of the user, in particular the present or accepted second person) as originating from the avatar (or from the corresponding protagonist) or as being generated in the name of the avatar of the protagonist and /or be made perceptible accordingly.

The at least one neural network is trained and/or operated to determine or adapt a state and/or a state change from which the at least one communication message is generated, in particular a state and/or a state change of the virtual personality, e.g. continuously or dynamically. For example, the at least one neural network is trained and/or operated. The state and/or state change of the personality model or avatar is at least partially dependent on the first parameters, in particular from a large number of the first user devices or a large number of the environments of the user devices, the first people or to determine or adjust the first living quarters. In an example that can be combined with all other features of the invention, the at least one communication message can include a (at least symbolic) reproduction or imitation of a person, in particular the face and/or the hands of such a person, generated with technical means or generated as such, in particular be issued.

The at least one communication message can (eg if it includes verbal and/or non-verbal information) include various aspects of a communication message. The one or more parameters of the communication message can be the proportions of the aspects of the communication message, esp particular of a self-disclosure, appeal, factual aspect, relationship aspect (also to be understood in particular: aspects defined analogously or correspondingly thereto). The at least one neural network can be trained and/or operated to determine or adapt one or more dimensions of one or more aspects of the communication message (eg person-specific or person-group-specific, depending on the respective second parameters).

For example, the at least one neural network can be trained and/or operated to convey a communication message comprising different aspects or, according to different aspects of a communication message, different proportions of the aspects or ratios between different aspects (depending on the first parameters and/or the second parameters). generate. For example, the proportions or ratios of the aspects can be used to determine or adjust the parameters (in particular the parameters that more or less explicitly determine aspects of the communication message) of at least one communication message (e.g. by the neural network), in particular controlled.

In particular, the parameters of the aspects of the communication message (e.g. by means of the appropriately trained and/or operated neural network) can be used to determine or adapt the parameters characterizing one or more aspects of a communication of the communication message, depending on the (further) second parameters, in such a way that a the effect or reaction corresponding to the target value (in the case of at least one second person) is achieved or stimulated. For example, one or more parameters of the at least one communication message (e.g. before it is output to the second user device or before it is finally sent) or the draft of the communication message can be determined or adjusted according to the effect to be achieved or the reaction to be stimulated.

Alternatively or additionally (e.g. by means of the at least one appropriately trained and/or operated neural network) one or more parameters determining one or more aspects of the communication can be dependent on the one or more (further) second parameters relating to the at least one second person, in particular the state of the personality model of the at least one second person can be determined or adjusted. For example, the at least one neural network can be trained and/or operated to generate a communication message with an effect or reaction to be stimulated that corresponds as far as possible to the target value. A second parameter of a second personality model that applies in the short term (current or predicted for the near future) and/or a second parameter that applies in the long term and/or a second parameter of the behavior or behavior of a second person can be at least partially determining for the one or more parameters the communication message to the second person and/or to a second person belonging to the same group of people as the second person.

In different living spaces or on different user devices (in particular also to be understood as: in or for the living spaces or user devices) (also caused by the same requirement) different or differently adapted (in particular also to be understood parameterized) communication messages can be generated and/or themselves differently behaving virtual personalities can be made perceptible. Several different communication messages (different or diverse in their respective effect) can be generated using one or a few mathematical models, e.g. with different (second) parameters determined or adapted in the method, and in particular generated simultaneously or quasi-simultaneously. These can be generated on different second user devices, in different living rooms or for different second people, in particular made perceptible as such. These can each be in different states or have different conditions for (their respective) specific state transitions. Their respective states or state transitions can be determined or adapted at least partially as a function of one another, at least partially independently of one another, differently or as a function of different first or second parameters.

A large number of effects or reactions ( in particular also to be understood: combinations of effects or reactions) are generated. Effects or reactions can be individually adapted to the group of people, to the communication group, to the context, etc. The one or more (resulting) parameters, in particular parameter combinations of the at least of a communication message or an avatar can be (almost) not repeatable or comparatively rarely repeatable. These can have a very high variety and (at least as a result of their effect) produce a large variety of effects or combinations of effects. The at least one neural network can be trained and/or operated to generate the communication messages or to determine or adapt the behavior of the virtual personalities in such a way that they can be perceived as a communication message created by the one or more first persons. This can also (for the respective perceiving person) imitate characteristics of an improvisation or intuition or of a living being.

For example, in the process (e.g. through the appropriately set up, in particular trained and/or configured, and/or operated personality models or avatars, for example as a corresponding neural network), specific, selectable, diverse characteristics of the character, behavior, in particular communication behavior, effects, Effects or one or more other parameters of one or more communication messages are determined or adjusted. For example, a (first and/or second) personality model or avatar can be set up (trained and/or configured) and/or operated a (second) parameter of a (more or less long-term existing) character, the behavior, in particular a virtual ego, of a current communication behavior, the (first and/or second) personality model or avatar depending on the one or more first parameters of the first communication and/or the one or more first parameters of the reaction of the one or more first persons.

For example, the at least one communication message can be generated in such a way that it (by the respective second person) as by the one or more first persons in a certain personality state, state of mind, state according to transactional analysis, an SR model (= stimulus-response model) and /or one of a Riemann-Thomann model, coming is noticeable. In other words, e.g. the sender (e.g. through the specification) can cause the communication message to be generated to be perceptible as coming from a certain state of personality, in particular his personality. For example, it can be specified that a communication message as if coming from an angry, amused, astonished sender, in particular a specific sender, is to be generated.

Furthermore, in the simulation or representation of the character, the behavior, the parameters of the communication message of the avatar (e.g. as auditory, visual and/or body language outputs) and one or more of the second parameters, e.g. from the environment of the second user device or the second living space, concerning at least one or more second persons, are taken into account. For example, the simulation or representation of the character, the training behavior or the generation of the parameters of the communication message can take place with the neural network trained and/or operated (possibly also) with the second parameters.

The generation or the output of the communication message can include or be the operation of at least the avatar. In particular, it is to be understood that the avatar appears on or in the environment of the user device, or is made perceptible and, in particular, recognizable as such. The avatar preferably includes a (e.g. visible, audible, tactile, olfactory, gustatory, etc.) identification feature by which it can be recognized as such or as being assigned to one or more specific real people or groups of people. In particular, an avatar is characterized by at least two identification features that can be perceived at the same time or simultaneously, which are recognizable by different human senses or increase the recognizability of the avatar or the corresponding person. The avatar can be designed in such a way that the communication message can be perceived as being generated by the avatar; or the communication message is generated in such a way that it is perceived as being generated by the avatar. For example, the communication message includes both speech generation and body language that accompanies and/or corresponds to this and is suitable for this.

The at least one neural network can be trained and/or operated to operate, in particular to control, the at least one personality model or avatar in such a way that the personality model or avatar communicates directly to the (eg this perceiving, in particular first or second) person acts to interact with the person. Alternatively or additionally, the at least one personality model or avatar can be set up and/or operated, an action by the avatar or on behalf of or in the name of the person, a control of various specific processes, e.g. of household appliances in their environment or within the relevant living space, and/or to interact with their environment, or the environment of the (second) user device or on behalf of the one or more (first or second) persons (or by means of the avatar). .

The at least one personality model or avatar can be characterized by one or more fixed or variable goals, functionalities and/or tasks, in particular goals that can be set or adaptively changed by a user and/or operator. In particular, a goal, functionality or task of the personality model or avatar can be at least partially, in particular within certain limits, determinable or adaptable by itself. A goal of the personality model or avatar can be at least partially independent or abstracted from certain functionalities, tasks or solution paths.

For example, the at least one avatar or the communication message for one or more second persons in the second environment of the second user device (e.g. within a second living space) in which it is operated, using sound waves, images, videos, an appearance of the virtual personality, their Action, interaction, body language, etc. made perceptible. The at least one neural network is trained and/or operated to determine or adjust a physical emotion of the virtual personality, in particular their body language, continuously or in small, in particular inconspicuous, stages. The at least one neural network is preferably trained and/or operated to determine and/or keep one or more, preferably most, features serving to recognize the avatar as such essentially within a specific tolerance range or pattern. It can be one or more identification features that are particularly relevant for human perception, e.g. shapes, proportions, physical movements, facial expressions, gestures, behavior, communication behavior.

A physical emotion, in particular the body language of the avatar, can also be interpreted as a parameter of the communication message to be determined or adapted (e.g. assigned to her or her or marked as coming from her). The communication message may be or include a creative or perceptible creative output of any kind, e.g., a process-generated narrative, show, drama, music, poem, joke, punch line, etc.

For example, the communication message can be generated as a physical emotion, in particular a physical emotion that is technically simulated or represented. The physical emotion can be generated with a characteristic, e.g. symbol, photo identifying or representing one or more first persons. For example, a specific change in a characteristic of the one or more first persons is initiated on the second user device (for the at least one second person). In a simplified example, it can be caused (depending on the first parameters and/or second parameters) that a symbol, photo, avatar of the one or more first persons causes a physical movement (determined or adapted with regard to their parameters) for the at least one second person executes Depending on the determined first parameters and/or the second parameters, this can output a communication message for the at least one second person. In particular, the at least one communication message can be designed to be interactive and/or can interact with the at least one second person (e.g. mentally, emotionally, psychologically). In a further example, the at least one communication message can be predominantly or essentially just a representation of a suggestion, appeal, emotion. In particular, the at least one communication message can be generated which has no or very little relevant, essential and/or content-related information content or factual aspect or is not linked to information content or factual aspects.

In particular, the one or more personality models or avatars are designed to use the one or more communication messages to communicate on behalf of the at least one or more (first, real) people to one or more second people.

The one or more personality models or avatars can be a (eg by the person) configurable or configured representative (in particular also to be understood: ambassador) of the one or more first persons. For example, an avatar or its behavior can be configured to represent the one or more first persons, in particular towards the one or more second persons, depending on one or more first parameters and/or one or more second parameters and/or an operator action and/or adjusted. In this case, too, it can be a matter of specific (concrete) first or second persons. For example, can a personality model or avatar for communication to specific second persons (each) can be configured in a specific or different way.

For example, the representation of the one or more first persons vis-à-vis the one or more second persons can depend on an operator action, in particular an expression of will (also to be understood in particular as an absence of an expression of will) by the one or more first persons, in particular relating to a specific topic and/or a particular communication configured, operated and/or customized. In particular, the personality models or avatars used (for a specific communication or for a communication between one or more (specific) first persons with (to) the one or more second persons can be trained depending on the first parameter and/or the second parameter and/or operated.

The at least one communication message can include instructions or case distinctions that simulate and/or represent an interaction or interaction behavior of the communicator. The at least one communication message can be an active or interactive structure or structure that behaves or acts actively or interactively, e.g. that communicates.

In particular, a personality model or avatar is not a biological creature. Rather, this can include correspondingly set up technical means, e.g. a correspondingly designed computer program product, a correspondingly set up device comprising the corresponding user device and corresponding data or data management. In particular, an avatar is characterized by a number of recognition features of a corresponding person, preferably recognizable by a number of different human perception channels. An avatar can be configured at least partially analogously to a living being and/or in its effect as a more or less independent being. For example, an avatar can have a form (e.g. specific proportions), shape, body, behavior, perception, will, appeal, knowledge Ego, interaction property, communication or type of communication, emotionality, character, certain changeable mood, emotions, etc. The corresponding features can be selected in such a way or designed to be changeable during operation in such a way that they can be perceived (by human perception) as an independent and/or living being. In particular, an avatar is designed to use at least one communication message to act or interact with its surroundings, in particular with a (second) person, in particular (at least in the external perception) in its own name and/or in the name of one or more first people. For example, different virtual personalities that are parameterized differently and/or are in different states can be operated for different (second) user devices, people or living spaces. In particular, an avatar is designed with a physical and/or virtual body, facial expressions, gestures, voice.

However, an avatar can also include a physical (technically realized) body or control a replica of a pose, gestures, facial expressions, etc. For example, the body or appearance of the avatar may represent or replicate part of a human body (e.g., face and/or hands). An avatar can be a so-called bot, a robot, e.g. a household robot, a service robot, a robot animal, etc., or a part of a bot or a robot, in particular an action, interaction of the robot, e.g. its physical movement, a replica of its Control facial expressions etc. In particular, the at least one avatar can be the user device and/or the user device can be the means of the personality model for action or interaction with its environment, in particular with the one or more people (e.g. as its user). A (first and/or second) personality model or avatar can be operable or can be operated depending on the various first parameters and/or second parameters.

The personality model or avatar or the at least one neural network for operating the personality model or avatar can be trained and/or operated in such a way that it works for or on the at least one second person (also to be understood in particular: for the perceiver or the respective user), to generate person-specific or personalized communication messages and/or (in doing so) to represent one or more first persons. For example, an avatar can generate, in particular formulate, the communication message from one or more first persons in a third person. For example: "Your parents say hello and ask when you're coming home". Such a communication message can, for example, be generated for each of the children in a corresponding variant, based on the specification of one or more parents "When will the children come home".

The avatar can be designed in such a way that the originator (at least perceived by the second person) of the communication message generated, in particular output, by the avatar is one or more first persons. In particular, the communication message is made associable (in the perception of the second person) with the one or more first persons. For example, the avatar and/or the communication message can be provided with features that can be associated (eg for the one or more second persons) with the one or more first persons. For example, this can have, in particular reproduce or imitate, one or more features of the communication behavior, personal style, vocabulary, slang, accent, character of one or more first persons.

For example, the at least one neural network can be trained and/or operated a certain emotional value, preferably corresponding to a target value, and/or an emotional bond of the second person to or with the avatar and/or with the at least one first person (who avatar is represented). The at least one neural network can be trained and/or operated to use the corresponding properties of human perception, in particular the assignment of the perceived messages to one or more specific (first) persons.

A target value of the effect or reaction can characterize a perception of one or more actions, interactions of the avatar or the communication message as from one or more specific first persons (e.g. as sender or originator). For example, the at least one neural network can be trained and/or operated the effect of the avatar (in the case of at least one second person) as an independently acting, feeling or living being and/or as a representative of one or more specific first persons and/or as the generate one or more first persons. This can (e.g. depending on the operating mode or requirement) be designed to be switchable or adjustable or be switched over or adjusted.

For example, a communication message can be generated or adapted depending on the first parameters and/or second parameters, which can be perceived as coming (predominantly, essentially or entirely) from an independently acting, feeling or living being. For example, one goal of training the at least one neural network can be to stimulate such an effect or reaction (in particular corresponding to the target value, e.g. as strong as possible) in a perceiver, in particular one or more second persons or second persons belonging to a specific group of people . In this way or as a result, the communication message, in particular the content to be conveyed with it, can have an intensified effect.

For example, actions, interactions, or communication messages of the avatar can take place on the basis of an emotional bond with the (specific, second) person or one or more first people that already exists or is strengthened or built up by training the neural network.

On the one hand, the at least one first avatar can be made perceptible to the second person as an independent being; on the other hand, this can be trained and/or operable depending on the one or more first parameters of the one or more real first persons. This can be done without knowing or revealing the relevant contexts, knowledge bases, situations in the surroundings of the respective user devices or within different living spaces.

For example, a factual aspect to be output with the communication message is generated by the avatar (e.g. depending on the specifications of the one or more first persons and/or in a manner familiar to the second person). For example, the at least one neural network can be trained and/or operated to generate a physical agitation of the avatar depending on the first parameters, e.g. physical agitation of one or more first persons who, for example, have perceived the same or similar information or auditory content.

The at least one neural network can be trained and/or operated to control the one or more avatars as a simulation (controlled by and/or comprising the neural network) of a being with auditory, visual and/or body language communication.

The at least one neural network trains and/or operates the at least one avatar with one or more aspects of a life (perceptible, for example, by the at least one second person). character, in particular a personality with a specific behavior (e.g. based on the first and/or second person), character, communication behavior, etc., for example corresponding to a specific personality type, to emulate or simulate. In this case, too, the at least one neural network can be trained and/or operated to generate the corresponding effect specifically for the perception of the specific (second) person or a (second) person who belongs to a specific group of people.

The at least one (first and/or second) avatar can be operated on the basis of a personality model (learned, trained, mapped, simulated with the at least one neural network) (e.g. corresponding to the first and/or second person). The one or more personality models or avatars can be operated (at least partially) within the second user device or in the computing unit R2 arranged at a distance (e.g. as the at least one neural network or a corresponding mathematical simulation based on the at least one neural network, etc.). become.

For example, the at least one neural network is trained and/or operated to change the state and/or the communication behavior of the first avatar, in particular a representative of the one or more first persons, depending on the one or more first parameters and/or depending on the one or to execute several second parameters. The avatar can, so to speak, also be adapted or trained to the communication partner.

The at least one neural network can be trained and/or operated at least a part and/or parameters of the communication message of the at least one personality model or avatar depending on the first parameters of the (first) communication, the (first) reaction of the one or more first persons , the (first) scene, the (first) intention and/or (first) emotion of the one or more first persons to be determined or adjusted. Alternatively, preferably additionally, the at least one neural network can be trained and/or operated a (e.g. other, further) part and/or parameters of the communication message of the personality model or avatar depending on the second parameters of the (second) communication, the (second) determine or adjust the reaction of the one or more second persons, the (second) scene, the (second) intention and/or (second) emotion of the one or more second persons.

The at least one neural network can preferably be trained and/or operated to determine or adapt a parameter of a (e.g. rather long-term existing) personality model of the avatar depending on the first parameter or parameters. Furthermore, the at least one neural network can be trained and/or operated to (dynamically) determine or adapt a parameter of the (e.g. more dynamically changing) current state, communication behavior of the avatar depending on the one or more second parameters.

• - mit einem wahrnehmbaren Charakter, insbesondere auf Basis des Charakters der (jeweiligen) einen oder mehreren ersten Personen; und/oder
• - gemäß eines (jeweils) bestimmten Kommunikationsstils; und/oder
• - zur Anregung (jeweils) bestimmter emotionaler und/oder kognitiver Wirkung; und/oder
• - zur Anregung (jeweils) bestimmter Reaktionen bzw. Handlungen; erzeugt werden;

Beispielsweise wird ein Parameter der virtuellen Persönlichkeit, kennzeichnend den Charakter und/oder Image und/oder Kommunikationsstil in dem der Avatar die Kommunikation unterstützt bzw. die zumindest eine Kommunikationsbotschaft erzeugt bestimmt oder angepasst werden.In a further example, the at least one communication message can be generated by the at least one avatar (e.g. in the name of one or more first persons or in the name of the virtual personality), with the character and/or image and/or communication behavior being adjustable, adaptable and/or or dynamically controllable. For example, it can be caused (e.g. by a setting, operator action and/or depending on information determined in the process) that the parameters of communication messages (e.g. to different people or people belonging to different groups of people) at least predominantly and/or tend to:

• - having an identifiable character, in particular based on the character of the (respective) one or more first persons; and or
• - according to a (each) specific style of communication; and or
• - to stimulate (respectively) certain emotional and/or cognitive effects; and or
• - to stimulate (respectively) certain reactions or actions; be generated;

For example, a parameter of the virtual personality, characterizing the character and/or image and/or communication style in which the avatar supports the communication or which generates at least one communication message, is determined or adjusted.

The first or second user device can be a personal (mobile, in particular wearable on the body, possibly connected to the body) user device of a first or second person. This can be assigned to at least one first or second person present in the vicinity of the first or second user device or within the first or second living space, for example participating in the communication or perceiving the said media content. The at least one (first and/or second) user device is, in particular, a communication-capable user device, a user device (eg also) designed to carry out a telecommunication or a communication device.

For example, it can be recognized and taken into account that a (first) user device is located within the (first) living space or is assigned to a specific (first) person and/or that a (second) user device is located within the (second) living space or assigned to a specific (second) person. The method or the aforesaid mathematical relationship or the neural network can be changed, in particular trained and/or operated, in particular controlled, depending on the information identified. For example, the method is not executed or is executed in a modified form if the (first or second) user device is outside the living space, in particular outside a specific (first or second) living space or a specific (first or second) zone, is located or is not used by an assigned (first or second) person (as by their respective user) or is used by an unrecognized or unrecognizable person.

Generating the communication message means in particular that the sound waves and/or visual content and/or physical stimuli corresponding to the communication message or other corresponding content or stimuli perceptible by humans, on or with a second user device, for the (corresponding) second person , are generated for the second communication group or within the second living space. At least part of the corresponding data can be stored within the spaced-apart computing unit (compare "R2" in the 2 or 3 ) are determined on the basis of the first parameters described in this document relating to a plurality of first user devices or first living spaces. The data containing these parameters or the determined parameters for generating the communication message on the second user device or second living space can be transmitted (directly or indirectly) to the second living space or to the second user device (in or with or by means of the the output is in a form perceptible to the person, e.g. in the form of sound waves, images, etc.). These can be the instructions described in this document, information to be output, and/or identifiers of the output data, which eg identify parts (sections or contents) to which the (specific) instructions, eg changes to the parameters or processing steps, are to be applied.

The generation, in particular (e.g. only) the output of the at least one communication message is in particular not or not firmly linked to a specific output time, e.g. not to the sections of the first communication or the first reaction or the times at which these were determined. For example, the communication message does not have to be generated synchronously or with a slight delay to the sections of the (first) communication or reactions of the first persons. Rather, the at least one communication message (with the correspondingly determined or adjusted parameters) can be generated, in particular output, at a later time interval, e.g. after a few minutes or hours (e.g. after the first parameters have been determined) or only when a predetermined criterion is recognized. For example, the communication message can be sent at a second time interval (e.g. only when recognizing a specific event, context, scene, emotion, intention, impulse of a (second) person in the vicinity of the second user device or within the second living space, when a predetermined criterion, for example at a predetermined or suitable occasion), wherein the one or more of the parameters of the communication message are determined or adapted depending on the one or more first parameters and/or one or more second parameters, which relate to one or several first time intervals in the past (e.g. to past seconds, minutes, hours, days).

One or more sections of the communication message on the second user device or within the second living space can be transmitted audibly, visually, tactilely, olfactorily and/or as a physical movement (perceivable by the second person, e.g. as a simulated, visualized body language). include information. Information relating to and/or for a specific (second) person or a person from a specific group of people and/or to at least one person present in the vicinity of the second user device, eg within the second living space (or with a high probability to be present or assumed) person. Depending on the one or more (first and/or second) parameters, it can be decided in the process that the communication message is (partially, predominantly or only) auditory, (partially, predominantly or only) visual and/or (partially, predominantly or only ) as a simulated physical emotion, in particular to generate a message or body language expressed in body language. Furthermore, depending on the (first and/or second) parameters, a decision can be made to assign the communication message as a (eg specific, appropriate) combination of auditory, visual, tactile, olfactory stimuli and/or (technically represented) physical impulses or body language generate. For example, the effect or reaction (e.g. corresponding to the target value) can be aimed for, in particular achieved, by a (respectively appropriate) combination of auditory, visual, tactile, olfactory stimuli and/or (technically represented) physical impulses or body language. The respective combinations can each be determined or adapted differently for different second persons.

A section of a longer, complex communication message, in particular a section of a communication message that has a meaningful, unmistakable meaning, a message, a coherent transaction or communication message, an effect or a (psychological, cognitive, emotional) effect or conveyed, can also be regarded as a communication message in the context of this document. It should be emphasized here that communication messages can, in principle, represent different content and/or content of different, possibly variable, types.

A portion of a communication message may include (in the process selectable, specific, customizable) communication sounds (e.g. interjections), a body language expression, an emotion or an emotional impulse, e.g. in a recorded, simulated, synthesized or engineered form, with or without a to information to be transmitted, in particular with or without a corresponding factual aspect.

For example, a communication message can be generated on the basis of speech generation, from or based on read-in data that includes or represents linguistic information, from or based on sections of sound sequences, melodies, specific noises, images, image objects. The at least one neural network is trained and/or operated, depending on the type of communication message, to determine or adapt the one or more parameters of the communication message differently or individually.

The communication message can have content that is generated in the method and/or that is generated or read in independently of the method. In particular, the at least one communication message is characterized, at least partially or essentially, by at least one essentially independent information input that deviates from (conceivable) preceding (specific) information inputs in the second living space or on the second user device, e.g .already defined, content from. At least a, preferably predominant, part (sections, contents, or the corresponding output data) for generating the communication message can, e.g. on the basis of or taking into account data from a data source selected in the process and/or independent of the process (e.g. as a data stream or in any form distributed over data packets), read in or generated in the process. This can be done depending on the specification of the one or more first persons.

For example, the communication message can be generated in the form of data, from which the corresponding stimuli, sounds, sound waves, images or data for generating the stimuli, sounds , sound waves, images, etc. are generated or synthesized. For example, the at least one communication message can also be generated as a specific rule and/or specific instructions for generating or outputting one or more specific voice messages, images or image sequences.

For example, the at least one communication message can be generated in the form of data or instructions for selecting, omitting, assigning, integrating and/or merging at least two parts (contents or sections), e.g. from one or two different data sections to be read in, in particular to be output . The result can then be output in the vicinity of the (second) user device or within the (second) living space, to or for the at least one second person, in particular a specific second person or second person belonging to a specific group of people. In a further example, one or more parameters can be determined or adjusted in the method, the selection or transmission of the data to one or more Output devices in the vicinity of the respective (second) user device or in the respective living space and/or the output of the data of the communication message in the form of acoustic sound waves or images, videos, actions or interactions of the avatar or an output of the content of the communication message in a (specific ) alternative or additional form, e.g. as an image, text, simulation, etc. relate or specify.

For example, a parameter of the communication message can be determined or adjusted, which allows the output of at least a section of the communication message from one or more (different, additional) output devices within the respective second living space or in the vicinity of the second user device, on a second user device of a (second ) person, e.g. a second person chosen according to specific criteria. A (second) parameter of the communication message can include a criterion relating to the second person (e.g. perceiving or potentially perceiving the communication message).

For example, the communication message can be generated on the basis of the (e.g. dynamically selectable) data sections transmitted to the respective living space or to the user device (e.g. in a so-called “push method” or “streaming method”). The data sections can be the information (to be output on the second user device or within the second living space or to be transmitted to the second person), output data for the (auditory or visual) content to be output, and/or the second parameters or the instructions , which are applied e.g. by means of the processing unit of the user device.

The generation, in particular the output of the communication message according to a parameter determined or adapted in the method can be carried out by means of a direct or indirect activation of a computing unit in which the audio signal, image or video signal, tactile or olfactory stimuli or the data of the at least one communication message is generated , processed, amplified or e.g. output as corresponding stimuli, sound waves or a display. It can be a processing unit of the second user device (a processing unit that is installed in the second user device or one that is operatively connected to the second user device and with which the second user device is operated), or the spaced apart processing unit R2.

For example, the communication message can be generated on the basis of a useful signal, e.g. an auditory and/or visual content, e.g. A content to be output, e.g. corresponding analog or digital signals, can in principle be independent of knowledge of what is happening in the vicinity of the second user device or within the respective second living space and/or within the respective first user device or within the one or more first be living quarters. Such content to be output can be selected on the basis of the data sections read in from one or more sources or data carriers or transmitted, e.g. streamed, to the user device or living space or the corresponding house. For example, said auditory, visual or other content can be related to one another and/or to other data, e.g. text data, or be assigned to this data.

The term "content to be output", in particular a multimedia signal, means in particular that the content, in particular the multimedia signal, is currently being output, is planned for output or is part of a set of preselected (e.g. activated, accessible, subscribed to, at least in principle desired) content, in particular Multimedia signals belongs that are suitable for output. The multimedia signal to be output can, for example, already include or be an audio signal and/or video signal or parts, e.g. sections of such signals. The at least one neural network is trained and/or operated media content, in particular multimedia signals from one or more multimedia sources, e.g. or to integrate (e.g. into each other or into a communication message). For example, the content to be output includes the initial data (“material” so to speak, or a subset or a superordinate set) for generating the at least one communication message.

The audio or visual content to be output, for example media content, can be, for example, data representing music, cinema sound, part of an entertainment program. The multimedia signal to be output preferably belongs to a multimedia program to be output with the second user device or within the second living space. Furthermore, a content to be output can be generated by means of a Audio output device and/or screen device of the respective second user device or sound, images, videos, virtual reality, etc. that can be played or output within the respective second living space. Alternatively or additionally, the content to be output can include part of a telecommunications content or telecommunications content, in particular only a (small) proportion of telecommunications content. Content to be output (of any type) can be used, for example, as priming stimuli or stimuli that are primed by the at least one communication message.

In the method, a quantitatively and/or quantitatively different determination or adjustment of the at least one communication message or (in principle) different variants of the determination or adjustment of the parameters of the at least one communication message can be provided. Different parameters, in particular specific combinations of the parameters or parameters of different types, can be adjusted or determined. For example, an acoustic parameter, a content parameter, an image parameter of the at least one communication message can be determined or adjusted in any specific, appropriate combination with the determination or adjustment of a time parameter of the communication message. For example, one or more visual or (second) parameters of the communication message or related to images, videos or physical movements of an avatar can be determined or adjusted on the determination of one or more first, acoustic, sound wave-related or acoustically detected first parameters and/or one or more (second) parameters of the auditory output, e.g. a parameter of a speech generation or a music generation, are determined or adjusted upon the determination of one or more first optically detected first parameters determined from image information. For example, in the case of different variants, a different mathematical relationship (formula, logic, characteristic curves, coefficients, etc.) or neural network on which the determination or adaptation is based can be selected. In order to carry out different variants of the method, a correspondingly different (possibly appropriately adapted) training and/or operation, in particular activation of the at least one neural network, can also take place. Post-processing of the output data can be counted to drive the neural network.

For example, in the method, a parameter for generating a communication message can be determined or adjusted at least partially by means of the one or more first user devices and/or a determination or adjustment of at least one section of additional content (different from or independent of the communication message), in particular media content the second user device, in particular also to be understood: in the vicinity of the second user device or within the second living space. One or more parameters of a section of the communication message and one or more parameters of a section of the other multimedia signal (different from the communication message), in particular simultaneously, shortly before or after, can be determined or adjusted. This can be done in such a way that an effect on the second person or a reaction of the second person, which is specific or corresponds to the target value, is stimulated. The (cognitive, emotional and/or psychological) effect of the communication message or the reaction to the communication message can be achieved by adjusting the parameter of the additional content, e.g. part of media content.

For example, the method can include determining or adjusting a parameter of further content (not belonging to the communication message), in particular if the section of the further content and the section of the communication message are at least partially within a certain (small) time interval, e.g. 1, 10, 30 , 60, 120 seconds, simultaneously, at least partially overlapping in time or (shortly) one after the other (e.g. are to be or must be issued).

One or more parameters of the at least one communication message and/or another auditory and/or visual content (to be output in the second living space at the same time interval), e.g. another multimedia signal, can be determined in such a way that at least one specific effect or reaction or a specific optimization criterion, e.g. in relation to the environment of the second user device, a (specific) spatial area of the respective living space, a specific second person or a second person belonging to a specific group of people, is achieved or sought.

The at least one neural network is trained and/or operated, e.g. a cumulative (“common”) effect of the communication message corresponding to a target value and of the further content (different from this), in particular of a further multimedia signal, on a second person (as a to generate (or stimulate) at least a potential perceiver. The at least one neural network can be trained and/or operated (e.g. to achieve a specific effect in each case appropriate) combination, insertion or integration of at least one action, interaction or communication message with, to or in other content, e.g execute a content of a multimedia program. It is thus possible to prevent an unsuitable appearance of the communication message or an unfavorable superimposition (a “collision” so to speak) of one or more contents of the communication message and an (optionally present) further content to be output.

The at least one neural network can be trained and/or operated to combine the at least one communication message into a (e.g. predetermined and/or at least partially not known a priori or unexpected) sequence or stream of one or more diverse media content to be output, in insert them, process them together, combine them or integrate them or create them (see the description of the execution of the audio or video cut) and/or output them together with other media content to be output. This can be done in such a way that an effect or reaction corresponding to the target value is stimulated. The at least one neural network can be trained and/or operated in order to reduce or avoid a (unilateral or mutual) interference or an undesired interaction, for example by determining or adjusting the time parameter of the communication message and/or the at least one additional content to be output . Rather, the parameters of additional content to be output in the environment of the (second) user device (e.g. on the user device) can be determined or adjusted in such a way that this, together with the communication message, leads to a desired effect or effect, e.g. reaction leads.

In a further example, the at least one neural network can be trained and/or operated an expected effect of a section of the To predict communication message or response to the section of the communication message that will have together with a section of the other content. For example, the (determined or predicted) effect or reaction can be the occurrence of a specific behavioral pattern, e.g. a communication behavioral pattern of the (second) person. If the predicted effect or response, e.g. a predicted measure of the effect or response, deviates from a specific goal or target value, the one or more parameters of the communication message and/or the further content can be (possibly newly) determined or adjusted.

In particular, when determining or adjusting the one or more parameters of the communication message, it is taken into account whether the at least one additional acoustic or media content, e.g. sound waves of the at least one additional audio signal and/or video signal to be output, is in the vicinity of the second user device, e.g. on the second user device or within the second living space, in a specific, relevant time interval in the near future and / or whether the further acoustic content in a specific, relevant, time interval in the near future one or more specific limit values, in particular specific to the Effect-related limit values are exceeded or are expected to be exceeded. In a simplified case, thresholds may refer to acoustic or visual perception-related thresholds in a particular environment of the user device (e.g., associated with a present or assumed perceiving person), spatial area. Furthermore, such a limit value can relate to an effect, in particular to a measure of an emotional, psychological or cognitive effect.

The at least one neural network can be trained and/or operated to measure an emotional, psychological or cognitive effect on a person and/or the expected reaction of the person (e.g. a specific person or a person who belongs to a specific group of people ) to change, in particular to limit it to a first predetermined level (or reduce it by a certain factor), increase it to a second predetermined level (or reduce it by a certain factor), and/or towards a specific target value of the effect to change.

For example, the method can include: Determining an expected parameter value, in particular a value related to the (e.g. cognitive, emotional or psychological) effect and/or reaction of the person, in particular a course (course curve, etc.) of the parameter value for an at least partially upcoming time interval. This can be done taking into account a section of the at least one further content to be output that has not yet been output, which relates to a (specific) time interval, for example, which is to be output in the near future, for example. Then the determination or A parameter of the at least one communication message is adjusted depending on the expected parameter value, with the expected cognitive, emotional or psychological effect or reaction being changed towards the (respective) target value.

In particular, the at least one communication message can be generated in such a way that, in relation to the second parameters (e.g. in the second context and/or with one or more other stimuli) it is sent by the one or more (respective) second persons as far as possible in the sense of the one or more processed, in particular understood, evaluated or noted. In doing so or as a result, an effect can be sought or a reaction can be stimulated. This can be done by taking into account (e.g. concrete content, sections, texts or forms, abstract) specifications of the one or more first persons and/or by taking into account the (respective) first parameters of the one or more first persons. In particular, the method can (also) include (explicit or implicit) consideration of the subjective perception of the (e.g. specially specified, created and/or generated in names) communication message, in particular the correction of the processing of the (each specifically specified, created and/or in the name generated) include communication message. The first parameters can be taken into account or processed. For example, the at least one neural network is trained and/or operated to determine the content to be communicated to the one or more second persons depending on the first parameters and/or a specification of the one or more first persons. For example, the at least one neural network is trained and/or operated to determine (in particular to estimate or predict) an effect to be achieved or a reaction to be stimulated with the communication message and/or to generate the at least one communication message in such a way that it (if possible) has a achieves the effect corresponding to the goal or target value or stimulates a reaction.

For example, one or more parameters of the communication message are determined or adjusted in such a way that a (e.g. subjective, person-specific, person-group-specific, context-specific, caused by the environment of the user device) influence the characteristics, the communication behavior of the one or more first persons, the first parameters at least partially is corrected or objectified, and/or an (e.g. subjective, person-specific, person-group-specific, context-specific, caused by the environment of the user device) influence on the perception and/or processing of the communication message by one or more second persons is at least partially corrected or objectified . For example, priority or only such influence can be corrected or objectified at least partially, which leads or will probably lead to a deviation from the target or target parameters (e.g. in relation to communication, effect to be achieved or reaction to be stimulated). For example, the at least one neutonal network can be trained and/or operated to at least partially objectify the specification or the design of the one or more first persons and/or for the perception (e.g. as correct as possible or corresponding to the goal or target value) and/or or processing by the one or more second persons. For example, deviations (e.g. based on different contexts, previous knowledge, communication habits), e.g. misunderstandings, can be reduced or avoided.

A goal or target value can be a communication message or communication message that is as unambiguous as possible and/or particularly effective (e.g. to the specific person, person belonging to a specific group of people and is processed as unambiguously and/or particularly effectively as possible (especially as a result). Person-specific, person-group-specific effects or reactions are sought or achieved.For example, the specification of the one or more first persons can include the goal of primarily achieving as clear and/or unmistakable an understanding and/or remembering part of the communication message as possible.

Alternatively or additionally, the method or communication messages can be used to explore or predict an attitude or position of the one or more people and/or to strive, in particular to reach an agreement, or be optimized for this. For example, the goal or target value can be an at least predominantly concurring opinion or action.

For example, data representing further content to be output or expected or another multimedia signal (in the vicinity of the second user device, on the second user device or in the second living space) for the near future, e.g. for a specific time interval (e.g. for at least 10, 20, 30, 60 seconds in the future time interval) are predicted and taken into account. For example, data of the further content to be output in the time interval can be read in (in advance), optionally evaluated and taken into account. In other words, data, eg from a data carrier, are read out and evaluated, which are characteristic of a further course of a content that can be perceived by a second person, eg the further multimedia signal in the near future (and not for the output of the signal at the current time).

For example, data from one or more other multimedia signals, e.g. an ongoing or planned multimedia program, audio program, piece of music, broadcast, film, are evaluated in the process with a (virtual) lead time of at least 10, 20, 30, 60 seconds. Depending on the evaluation, one or more influences (e.g. cognitive, emotional and/or psychological) influences can be predicted and/or used to strive for, in particular to achieve, the goal of the effect and/or reaction. The parameters of the communication message and/or the further multimedia signal can then be determined or adjusted.

In other words, the further content to be output, in particular part of a multimedia program (e.g. already available) can be used as a background (which can be selected, determined or adapted in the method), so to speak, a perceptual background or “backdrop” or a prime stimulus. This can be done in such a way that an appropriate, suitable content to be output, e.g. a section of a multimedia program to be output, required to achieve a certain effect or reaction is selected, omitted, generated, determined or adapted, in particular created to the appropriate extent. For example, a parameter of the communication message can be determined or adjusted in such a way and/or a suitable section of further content to be output can be selected and/or determined or adjusted in such a way that a (e.g. emotional, cognitive, psychological) effect results or a reaction is stimulated.

The generation of the communication message, in particular one or more sections of the communication message (possibly from the predetermined parts to be output or selectable in the process, e.g. audio content or video content) and/or the at least one other content to be output, e.g. multimedia signal, can determine or adapt a Splitting, a chronological order, omitting certain sections or content, spatial distribution of the communication message and/or the further content to be output. The communication message can be output at least partially or temporarily together, in particular at least partially spatially and/or temporally overlapping with at least one section of the additional multimedia signal. This can be done in such a way that the at least one communication message and another content to be output can be made perceptible together as a multimedia program that is as uniform or largely as possible or seamless. For example, the communication message can be output with the same or a different output device (which, for example, belongs to the user device and/or is controlled by it from the user device) as the output of the further content.

In the context of the present document, determining a parameter means in particular determining (also to be understood in particular: determining and setting or effecting) one or more parameter values of a specific parameter, in particular a parameter of a specific type existing parameter (value) necessary. To put it simply, one or more parameter values can be determined and defined for a specific time interval or in relation to a section of the communication message, in particular with foresight. Determining the at least one parameter of the communication message can in particular be an adjustment of the parameter.

In particular, adapting means changing (e.g. replacing, overwriting, correcting, providing a certain difference or factor, scaling) of one or more specified or one or more otherwise valid parameter values of a parameter. For example, a parameter can be determined or adjusted by means of a (e.g. additive, multiplicative, logarithmic) factor determined in the method.

In the method, a determination of at least one first person (e.g. an identifier and/or a parameter of the first person) and/or a (first) group of people to which the at least one first person involved in the communication belongs, or who refer to the Media content (according to claim 1) reacts, are executed. Furthermore, the at least one second person (eg an identifier and/or a parameter of the second person) and/or a (second) group of people to which the at least one second person belongs can be determined. This relates in particular to the second person for whom the communication message on the second user device is intended or to whom the communication is intended tion message in the vicinity of the second user device or within the second living space, at least potentially.

In particular, the at least one neural network can be trained and/or operated, depending on the first parameter, the group of people to which the one or more first people belong and/or depending on the second parameter, the group of people to which the one or more second people belong are to be determined. This can be understood to mean parameters of the affiliation of a person to several different groups of people.

The determination or adjustment of the one or more second parameters of the communication message can then preferably be carried out as a function of the determined (first) group of people and/or the determined (second) group of people. The one or more parameters of the communication message can be determined or adjusted, for example, depending on a similarity, in particular a match, or a dissimilarity of the (first) group of people to which the one or more first people belong and the (second) group of people to which the at least one second person heard to be executed. For example, at least one person (according to a degree of similarity with one or more specific groups of people) can be counted as belonging to a certain proportion to one or and to a certain part to another group of people.

For example, if the above-mentioned first person (e.g. in the first living space) and the above-mentioned second person (e.g. in the second living space) belong to the same or to two similar or not very different groups of people, another determination or adjustment of one or several parameters of the communication message are executed as if they belong to different or incompatible (so to speak, mutually “incompatible”) groups of people. For example, said mathematical relationship (e.g. a rule, logic, coefficient, parameter of the mathematical relationship) can be varied depending on which (first) group of people the one or more first persons belong to or were assigned to, to which (second) group of people the at least a second person was heard or assigned and/or by a (e.g. determined or stored) similarity of the characteristics of the groups of people. For example, the at least one neural network can be trained and/or operated to take into account the affiliation of the first person and/or the second person to specific groups of people. In particular, the one or more parameters of the communication message can be determined or adjusted depending on the affiliation of the first person and/or the second person to specific groups of people in such a way that the effect or reaction corresponding to the target value is sought.

In the context of this document, the term "group of persons" can refer to different groups or categories of persons that can be distinguished according to certain criteria. A person (and thus possibly a user device or the living space of the person) can be assigned to one or more groups of people according to predetermined criteria, e.g. relating to a profile of the person. Such criteria can be, for example, a social stratus, belonging to a family, a circle of acquaintances (e.g. according to data from a social network, etc.), an age, in particular a certain age range, e.g. 0-2 years, 2-4 years, 4- 8 years, 8-12 years, ... etc., gender, interests, in particular or main areas of interest, education, occupation, a perception type or type of communication, data from a personality test, e.g Communication behavior, consumer behavior, social behavior, etc. are determined. In other words, the group of people can be a category or a characteristic of people who are characterized by one or more criteria, in particular a combination of criteria, or who correspond to a pattern, e.g. based on such criteria. In this case, the at least one neural network can be trained and/or operated to divide the (first or second) people into certain groups of people, in particular in relation to one another. In particular, this can also be understood as a qualitative and/or quantitative determination of the tendency of people to belong to one or more groups of people.

For example, a person can belong to or be assigned to several different groups of people. Belonging to one or more groups of people can be determined in the form of several qualitative and/or quantitative values, e.g. as one or more measures of similarity to one or more groups of people and/or one or more measures of the probability of the person belonging to one or more groups of people or be taken into account. The affiliation of a (first or second) person to one or more groups of people, as described in this document, can be defined as infinitely variable or stepwise differentiable and/or multi-dimensional dimensions, e.g measure of the affiliation of a person to several (e.g. mutually independent, mutually orthogonal) groups of people.

For example, belonging to a certain group of people as an (absolute or relative) property of a personal profile, e.g. as a point or area in a coordinate system from two or more different characteristics of a personality, in particular with regard to behavior, character, communication, attachment behavior , etc., or one or more measures of a respective matching to specific characteristics or predefined groups of people. For example, one or more characteristics of a real (first or second) person can be determined and/or taken into account by way of one or more parameters of their respective affiliations to one or more specific groups of people. A large number of personality traits (which are of course difficult to describe mathematically) can be taken into account by a preferably anonymous statistical model from several groups of people. This is also advantageous because very complex personality traits that correlate with one another in real people can be processed using representative groups of people, e.g. archetypes.

For example, one or more parameters of the communication message and/or the virtual personality, in particular a communication behavior of the avatar, can be determined or adjusted for a second person depending on a parameter that indicates whether the second person belongs to one or more personality groups. This can be done without the person having to be identified and/or without extensive or explicit knowledge about the person. "Belonging to a specific group of people" is to be understood in particular as having a specific or significant affiliation to one or more predefined groups of people. For example, the affiliation of a (first or broader) person to one or more groups of persons by means of or in the form of one or more (first or second) parameters can characterize a measure of the similarity and/or probability of the affiliation of the (first or second) Person to one or more predefined groups of persons, e.g. identifying one or more (proportionate) dimensions, e.g. or recognition of the person) determined, in particular estimated.

A criterion for belonging or assigning a person to a group of people can be their temperament, their emotionality or a feature of their emotional intelligence, emotional interaction and/or cognition. Such criteria can, for example, relate to a level of knowledge, in particular knowledge relating to a specific topic, a so-called problem-solving intelligence "IQ", a problem-finding intelligence "pioneer IQ", a jungle intelligence "fighter IQ", a Creativity "KQ", a social intelligence "SQ", and/or an emotional intelligence "EQ" of the respective person or group of people.

For example, a person can be assigned to a group of people depending on their personality type (determinable, distinguishable according to predetermined scientific criteria) or a so-called archetype, e.g. an archetype with which the person is more similar than to one or more other archetypes. Such a personality type can be determined, e.g. selected according to the information, the behavior, in particular communication behavior of the person, determined using another application or imported from a database, or determined or assumed using a test. Two to five of the perception types can, for example, be defined in accordance with the so-called NLP (= neuro-linguistic programming), e.g. according to the criteria of NLP. For example, one or more of the perceptual types can be defined depending on categories such as: visual, auditory, kinesthetic, olfactory, gustatory.

In this way, properties that are specific to the specific types of perception or are assigned to them (according to a model, eg according to a behavioral model, communication model, cognition model) can be taken into account in the process, eg as corresponding qualitative or quantitative measures. For example, the method can take into account which perception channels or which specific stimuli are particularly significant and/or less significant for the respective perception types or personality types. For example, the effect or effectiveness of certain sections or the communication message can be determined depending on the respective perception type or personality type of the person for whom they are intended or the person who at least probably perceives them. Furthermore, the characteristics of eye movement, facial expressions, body language, communication behavior tens, etc. that are specific to the specific perception types, personality types or specific groups of people or that are assigned to them are taken into account in the process.

For example, the properties or relationships that are known according to NLP (=neuro-linguistic programming) or are ascribed to certain types or types of perception can be taken into account. As an alternative or in addition, said properties or relationships that are specific to certain perception types or personality types can be determined and/or assigned to at least one first person and/or at least one second person and taken into account. For example, an assignment of the one or more people to a group of people can be taken into account when determining or adjusting the one or more parameters of the at least one communication message. The parameter of the communication message can be determined or adjusted in such a way that a certain effect or effectiveness, e.g. a certain type and/or a certain degree of effect or effectiveness (of the communication message) is aimed at or achieved with the at least one second person.

Alternatively or additionally, the one or more groups of people can correspond to one or more customer segments or consumer segments (e.g. known from business administration, freely or expediently definable) and/or be brought into a specific relationship to them. For example, one or more groups of people can be assigned to one or more customer segments or consumer segments (e.g., different in terms of consumption behavior, consumption potential, interests, etc.). For example, a mathematical relationship can be determined or specified between one or more specific groups of people, e.g. determined or specified in the process, and one or more customer segments or consumer segments. Depending on this mathematical relationship or the one or more assignments, further functionalities can be operated. For example, provision of information on specific topics or contexts can be determined or adapted to one or more first persons and/or one or more second persons, or context references (references between information and contexts) can be established.

For example, 4 - 12 groups of people who correspond to certain personality types, for example according to or corresponding to certain archetypes, types or categories of people according to a static or dynamic type model, or as known from communication sciences, cognitive sciences, theater studies, etc., are selected become. Personality types can also be differentiated by their so-called egogram, e.g. based on a test.

For example, in the method, a group of people can be determined for one or more (first, second) people, e.g. depending on their respective perception type, personality type, communication type, etc. In particular, the group of people of one or more of the first or second people (or their perception type, personality type, communication type, etc.) can be defined depending on one or more parameters of their communication and/or a parameter of their reaction to one media content or one or more parameters of a reaction of your person in connection with a communication and/or to a media content are determined or (respectively) assigned to the one or more (first or second) persons.

Furthermore, a measure relating to the consumer behavior of the person or an assignment of the at least one first or second person to a customer segment or consumer segment can be carried out. A customer segment or consumer segment can in turn be determined or defined depending on certain needs, habits, (previous or other) consumer behavior or correlating characteristics of the person. This can be done depending on the group of people, e.g. on the basis of general statistical relationships, or depending on (further) predetermined criteria or data. The determined information can be taken into account in the further course of the method, with this, e.g. for processing further or later parameters in connection with the one or more persons or persons belonging to certain groups of persons, for generating the communication messages for the one or more persons or People belonging to certain groups of people and/or to perform a further function, e.g. to determine a further information offer, a further product offer, in particular a media offer or communication offer, for which one or more (first) persons or (second) persons or to determine a further assignment of one or more persons, e.g. to certain categories.

The at least one neural network can be trained and/or operated a connection (e.g. a function) between the one or more first parameters of the communication or the reaction of the first person and one or more (e.g. determined by means of another service or functionality ) Needs, habits, consumer behavior or characteristics associated with this information, in particular correlating characteristics, to be determined and/or to be taken into account in the process. Such a connection can, for example, also be in a mathematical connection (with one or more features of the mathematical connection). In particular, the at least one trained neural network can characterize or include such a mathematical relationship, in particular as one or more corresponding inverse functions.

In a simplified case, the further mathematical relationship or the at least one trained neural network can characterize a parameter of a personality model, in particular a person behavior model (e.g. a customer model of the first or second person). The further mathematical connection (in a simplified case an assignment of the at least one first or second person to a group of people, in particular to a customer group) can, for example, be taken into account for a further service or a further functionality or (e.g. as a corresponding piece of information or identifier ) to be provided. In other words, depending on a large number of the first parameters of the communication or the reaction of the at least one (specific) first person to media content, one or more parameters of their personality model (corresponding to and assigned to this person), in particular one characterizing the consumer behavior of the person Personality model are determined and provided.

Such a personality model or a parameter of the personality model can be provided for a service or functionality (which can be integrated into the respective user device or can be executable separately, independently of the user device).

For example, such a personality model, in particular a consumer behavior model or a customer model, is determined, stored, processed and/or used to predict a (current or future) need, condition and/or behavior (e.g. consumer behavior, media consumption behavior) of the person concerned provided.

A parameter of the personality model can be, for example, one or more coefficients, states, state transitions of a (technically implemented, e.g. mapped, in particular executable) personality model as a mathematical model (e.g.: computer model). Such a personality model can (e.g. as a mathematical simulation) have different states, state transitions, characteristics of behavior, in particular communication behavior, parameters for its current virtual emotions, needs and/or intentions. For example, the at least one trained neural network can represent the large number of corresponding dependencies that are characteristic of the personality model in question or a specific (first or second person). In a further example, such a personality model can be executable in particular as the trained neural network or controlled by the trained neural network. The personality model can be set up to have a certain (virtual) life of its own, which, for example, at least approximately simulates the behavior of one or more specific (first or second) people or the groups of people of the (first or second) people.

For example, one or more parameters of the personality model are taken into account when generating the one or more communication messages (preferably with the at least one neural network), the at least one communication message (e.g. in terms of its effect or effectiveness) in a specific dependence on the one or more determined, in particular predicted, needs, conditions, and/or behavior, consumer behavior, media consumption behavior of the (second) person.

Furthermore, the operation of the avatars (which can be perceived by a second person or in a second living space) can depend on the one or more parameters of the personality model, e.g. of the respective states or state transitions of the personality model, which take place at least in a second person. For example, the at least one personality model or avatar includes and/or is operated by the at least one trained neural network, the neural network representing and/or controlling the personality model or avatar.

For example, the execution of the method for (first or second) people belonging to different groups of people can be qualitatively or quantitatively different, e.g. in a fundamentally different way or with different rules, logic, coefficients, parameters of the mathematical relationship (or several different corresponding mathematical relationships or operating modes of a mathematical relationship) and/or differently trained or differently operated (also: controlled) neural networks. One or more first persons and/or one or more second persons or the recognition of a specific first person or second persons and/or the affiliation of the first or second person (at least with a certain degree of probability) can be determined or different groups of people, different (expected or predicted) perception properties, communication properties, cognitive properties, etc. are assigned. The information relating to the affiliation or assignment of the (specific) persons to one or more groups of persons, for example corresponding dimensions, can be taken into account in the (further, later) execution of the method.

For example, an at least probable or a certain degree of probability that a (first or second) person belongs to a (specific) group of people can be taken into account when generating the communication message. In this way, an effect (desired or corresponding to a target value) of the communication message (in particular an influence on the at least one second person) or reaction of the second person can be sought or achieved. An (at least statistically) improved result, e.g. an improved or more precise effect of the communication message, can thus be achieved in the method.

In the context of this document, the term "target value" can always also be understood to mean a target value range, e.g. A target value that is as high as possible or a maximum possible increase can also be meant.

In the context of this description, living space is to be understood as one or more rooms or rooms of any shape in a house or property. The living space can consist of several parts that are at least partially acoustically separate from one another and/or at least partially acoustically connected to one another, e.g. The term "room areas" refers in particular to room areas within a room, or within rooms that are at least partially acoustically interconnected, e.g. a kitchen, a living room and a connected corridor. The living space and all living spaces mentioned in this document are always stationary living spaces. In any case, the term "living space" refers to a property of whatever design or use.

For example, the method may be performed with the system comprising one or more first user devices and one or more second user devices. A first user device or a second user device can optionally include or operate a voice control application. In the context of this document, the term “voice control application” can also mean a voice assistant. The voice control application can be designed, for example, to execute spoken commands or input from people and/or to generate at least partially computer-aided auditory messages for people (according to predefined conditions, logic, events, etc.).

The voice control application can also be designed for interactive entertainment or for carrying out organizational or other tasks. Parts of a voice control application that are normally used to execute specific voice commands can be changed or set up according to the features described in this document. These can also be used or jointly used to carry out the method. The corresponding sound waves can also be output by means of the voice control application, e.g. with one or more loudspeakers of the voice control application.

The system preferably also includes at least one computing unit (R2) arranged at a distance, e.g. a so-called cloud or a correspondingly further developed structure. The method can be carried out without a direct or indirect operative connection or communication connection between the first user device and the second user device or the exchange of contents of the communications.

In particular, the first user device and the second user device are set up to establish (only) an indirect operational relationship with one another and/or with or through the spaced-apart computing unit (R2). This means that there is no (complicated) construction of a large number of direct active connections between a large number of user devices.

The system according to the invention can be a decentralized or distributed electronic system which is set up to carry out the method. This can be at least one, preferably two or more (or a large number) of user devices, a smart home computer, a router or a home network, a computing unit (R2) arranged at a distance, which is used, for example, for appropriate processing, adjustment, administration and / or aggregation of the data is set up include.

For example, the system comprises at least one arithmetic unit set up to carry out the method, in particular at least one signal processing unit and/or a unit for voice generation. This can be a processing unit of the (first or second) user device, which can be carried by a person, for example, or permanently or permanently installed in the at least one first stationary living space or second stationary living space. The system can be designed to generate a specific, in particular calculable, e.g. acoustic, emotional, cognitive, psychological effect by means of or on the basis of the communication message and/or to generate the communication message with a specific, in particular calculable or predetermined effectiveness. For example, the system can be designed to control one or more output devices or other devices in the vicinity of the respective user device (e.g. in a respective living space).

Furthermore, the system or the first user device or the second user device can be a device that can be operated (operated) in the (corresponding) house. This can, for example, be a household appliance or a toy, be integrated into such or be networked with such devices for carrying out the method, e.g. be designed to carry out a corresponding active connection. In one example of the method, the data for generating the at least one communication message and/or for determining or adjusting at least one parameter is determined in a computing unit (in the computing unit of the user device and/or in the computing unit R2 arranged at a distance) and an output of the corresponding sound waves is output , images, image sequences, (e.g. tactile and/or olfactory) stimuli or the (said, technically generated) physical agitation in one or more output devices, in particular wirelessly, connected in the system in the environment of the (respective, second) user device or in the (respective, second) living space.

• - einen Richtungsparameter, kennzeichnend eine oder mehrere Richtungen, der (besagten entsprechenden) Kommunikation, z.B. einzelner Transaktionen der Kommunikation;
• - eine räumliche Verteilung des akustischen Signals der Sprache (der entsprechenden Schallwellen) bzw. der körpersprachlichen Botschaften, entsprechende Phasenparameter, z.B. Phasenverschiebungsparameter;
• - einen Frequenzparameter der auditiven Kommunikation, z.B. eine (effektive bzw. effektiv genutzte) Bandbreite, ein Frequenzspektrum, ein Energiedichtespektrum, ein Frequenzmuster, und dergleichen;
• - Dynamik einer oder mehreren Amplituden und/oder Frequenzen der (in dem jeweiligen Wohnraum hörbaren) auditiven Kommunikation;
• - eine oder mehrere Stimmenparameter oder Erkennungsdaten für Stimmen einer oder mehreren auditiv kommunizierenden Personen;
• - einen Amplitudenverlauf, bzw. eine zeitliche Amplitudenveränderung, bzw. eine Amplitudendynamik, eine Veränderung des Frequenzspektrums bzw. des Energiedichtespektrums der entsprechenden Schallwellen;
• - ein inhaltliches Merkmal eines Abschnitts bzw. zumindest einer Transaktion aus der besagten Kommunikation, z.B. einer Transaktion zwischen zumindest zwei Personen, etwa zwischen zumindest zwei ersten Personen oder zumindest zwei der zweiten Personen. Das inhaltliche Merkmal kann sich auf die in einem hinreichend großen Abschnitt der Kommunikation repräsentierte (sprachliche, inhaltliche) Information bzw. einen Inhalt einer mit einem Audiosignal bzw. Schallwellen repräsentierten Kommunikationsbotschaft beziehen. Ein inhaltlicher Parameter kann bevorzugt einen oder mehrere Inhalte bzw. Merkmale des Inhalts der besagten Kommunikation kennzeichnen. Ein inhaltliches Merkmal muss dabei nicht einem Informationsgehalt der Kommunikation entsprechen. Beispielsweise kann diese lediglich ein Charakteristikum eines Teils (Abschnitt bzw. Inhalt) der Kommunikation, kennzeichnen;
• - linguistische Parameter der Kommunikation, z.B. bestimmte in der Kommunikation vorkommende linguistische Strukturen bzw. Konstrukte;
• - stilistische Parameter der Kommunikation, z.B. eine Wortwahl, Intonation, Ausdrucksweise, Wortwahl, Satzstrukturen, Stimmen, linguistischen Parameter, Kommunikationsstil;
• - ein im Rahmen der besagten Kommunikation auftretendes oder erwartetes Verhalten bzw. Kommunikationsverhalten zumindest einer an der Kommunikation beteiligten Person;
• - eine, insbesondere bewusste oder unbewusste, körperliche Regung, Veränderung einer körperlichen Regung, Körpersprache, körpersprachliche Botschaft, eine Mikroexpression, ein Muster der eine bestimmte Emotion, Absicht, Appel, Interesse, Zuneigung, einem Ausdruck von Wahrheit bzw. Lüge kennzeichnet;
• - einen oder mehrere Aspekte eines Abschnitts der Kommunikation bzw. einer Transaktion, z.B. einer Kommunikationsbotschaft. Derartige Aspekte können vorausbestimmten Kategorien entsprechen oder abhängig von diesen definiert sein. Beispielsweise können Kategorien etwa entsprechend oder abhängig von Selbstoffenbarung, Appeal, Sachaspekt, und/oder Beziehungsaspekt, etc. definiert sein;

One or more parameters of a (already taking place or predicted) first communication or second communication can be determined in the method. A parameter of the communication can relate, for example, to one or more persons involved in the communication and/or to a specific transaction within the communication. A parameter of the communication can identify, for example, the content of the communication, one or more acoustic parameters of the auditory and/or body language communication. At least one parameter of the communication, or one of several types of parameters, preferably identifies one or more entries from the following list:

• - a direction parameter indicating one or more directions of the (said corresponding) communication, eg individual transactions of the communication;
• - A spatial distribution of the acoustic signal of speech (the corresponding sound waves) or body language messages, corresponding phase parameters, eg phase shift parameters;
• - a frequency parameter of the auditory communication, eg an (effective or effectively used) bandwidth, a frequency spectrum, an energy density spectrum, a frequency pattern, and the like;
• - Dynamics of one or more amplitudes and/or frequencies of the auditory communication (audible in the respective living space);
• - one or more voice parameters or recognition data for voices of one or more auditory communicators;
• - An amplitude profile, or a temporal amplitude change, or amplitude dynamics, a change in the frequency spectrum or the energy density spectrum of the corresponding sound waves;
• - A substantive feature of a section or at least one transaction from said communication, eg a transaction between at least two people, such as between at least two first people or at least two of the second people. The content-related feature can relate to the (linguistic, content-related) information represented in a sufficiently large section of the communication or to a content of a communication message represented by an audio signal or sound waves. A content-related parameter can preferably identify one or more content or features of the content of said communication. A content-related feature does not have to correspond to an information content of the communication. For example, it may merely indicate a characteristic of a part (section or content) of the communication;
• - Linguistic parameters of the communication, eg certain linguistic structures or constructs occurring in the communication;
• - stylistic parameters of communication, eg choice of words, intonation, idiom, choice of words, sentence structures, voices, linguistic parameters, communication style;
• - a behavior or communication behavior that occurs or is expected within the framework of said communication, at least one person involved in the communication;
• - a physical movement, in particular a conscious or unconscious one, a change in a physical movement, body language, body language message, a micro-expression, a pattern that characterizes a specific emotion, intention, appeal, interest, affection, an expression of truth or a lie;
• - one or more aspects of a part of the communication or a transaction, eg a communication message. Such aspects may correspond to or be defined dependent on predetermined categories. For example, categories can be defined according to or depending on self-disclosure, appeal, factual aspect, and/or relational aspect, etc.;

Furthermore, a parameter can be a measure of the change or deviation of a corresponding parameter value. The change or deviation can relate to a general or statistical value or a specific, typical or selected value for the specific living space, e.g. an average value known from history or an expected value.

For example, a parameter (e.g. the communication or the reaction of at least one person) can also be a measure of the change in one or more parameter values depending on another specific criterion, e.g. depending on the output in the environment of the user device or within the living space (described in this document) first information. A parameter (e.g. of the communication or the reaction of the at least one person) can be expressed as a function of one of said parameter values depending on another variable (e.g. relevant when executing the method) or can be normalized to a specific variable.

A parameter of the (first or second) communication can refer to a communication message, a so-called transaction or multiple transactions within the (first or second) communication. A transaction is a step in the communication between two people, which consists e.g. of a question and an answer, a statement and a counter-statement, or a recommendation, an instruction, a command and/or a query.

For example, a parameter of at least one communication message can be determined or adjusted depending on one or more transactions in the past, in particular frequently repeated ones, and/or a current and/or an expected transaction, with the transaction being a first (e.g. for several first internal) communication or to a second (e.g. internal for several second persons) communication. Transactions can be between at least two people (not with or by means of an optionally available technical device).

The one or more parameters of the communication and/or the reaction of the at least one person can be a parameter (value) determined in the past and/or a current parameter (value) and/or a predicted parameter (value ) act. In particular, at least two parameters or parameter values of a parameter are determined from different time intervals and taken into account (eg according to the mathematical relationship or by the neural network trained with them). In particular, several parameters of the communication or their changes from a certain time interval, eg 1, 5, 10, 20, 30 seconds or minutes can be taken into account. For example, a time sequence of the corresponding parameter values becomes one or more Communication parameters, for example within a certain time interval, determined and taken into account. For example, a (first or second) parameter, eg a communication parameter, can identify a measure of the change in a respective parameter value. For example, a parameter can be a measure of the change in a parameter (value) over time and/or in relation to a spatially related (spatially variable) quantity, e.g. direction and/or distance and/or specific surface areas or volume areas eg represent one or more specific spatial areas of the living space or the environment of the user device. For example, a (first or second) parameter can characterize a temporal gradient and/or a spatial gradient of one or more parameter values.

At least one parameter of the communication or the reaction of at least one person (in the vicinity of the respective user device, e.g. in the respective living space) can be determined in the method on the basis of sensor data, a history, e.g. of one or more, in particular earlier, communications or Reactions, e.g. of communications involving certain people or people belonging to certain groups of people, etc. or the reactions of certain people or people belonging to certain groups of people, are determined or predicted. In this case, an at least simplified probability calculation or estimation can be used, in particular in the case of a prediction of one or more parameters.

The at least one neural network can preferably be based on a large number of first and/or second communications, e.g. depending on processed data, e.g. comparison or calculation of a large number of parameters from the history for one or more communication processes and/or for one or more ( certain) people are trained. In particular, the training takes place in connection with or taking into account further first and/or second parameters, e.g. a context recorded within a certain time interval with the section of the (respective) communication, scene in the environment of the respective (first or second) user device. In this case, a later determination of a parameter of the (later) communication can take place depending on a parameter of a context, e.g. In particular, a parameter of a communication message and/or a section of the additional multimedia signal is determined as a function of a combination of learning data based on a plurality of communications in the past and a current or currently predicted parameter of said communication.

In particular, at least one parameter of the communication characterizes a communication project, in particular a qualitative and/or quantitative measure of the communication project of at least one person. The communication project can, for example, relate to an expected start of a communication, an expected transaction or a specific expected transaction or a transaction of a specific type (question, announcement, reaction, comment, instruction, request, etc.), a specific aspect of a section of the communication, and/or an expression of a certain feeling or a certain expression of feeling, e.g. towards the communication partner.

The communication project can indicate in particular that a certain (first or second) person or a person located in the vicinity of a user device or in a certain living space or a spatial area of a living space, in particular with a certain degree of probability (exceeding a threshold value) communication , e.g. "speaking" or a body language communication message or an expression of emotion is to be expected.

The communication project relates in particular to communication that is conducted or is to be conducted without technical means or directly (acoustically or by means of body language). Similarly, the information can also be determined and made available with the parameter “communication project” that no communication (possibly from a person in the living space or a specific person) or communication is only to be expected with a comparatively low degree of probability. For example, the communication project can be an expected value for a communication for the near future, e.g. from or to a specific person or person belonging to a specific group of people. A communication project can relate to verbal and/or body language communication or to specific communication messages or transactions or types of communication messages or transactions.

The at least one neural network can be trained and/or operated a communication project of at least one (eg first or second) person, or a parameter value of the communication In the process, the project can determine one or more physical impulses, depending on a parameter or pattern, which precede, for example, speaking and/or a pause in the flow of speech or a specific change in the flow of speech. Alternatively or additionally, the at least one neural network can be trained and/or operated at least one parameter of the communication, e.g. the communication project based on one or more physical parameters or based on noises, e.g. breathing noises, which precede speaking or other variables correlating with speaking , to recognize.

The communication behavior or the behavior (of a real person or a virtual personality) can be or include a communication behavior or behavior abstracted from specific information or actions. This is particularly advantageous since behavior (e.g. independently of specific communication messages, a factual aspect and/or specific content or form) can be determined or adjusted.

For example, a first communication behavior of the one or more first persons (e.g. from one or more first communications) and/or a second communication behavior of the one or more second persons (explicitly or implicitly) can be determined and then: the at least one communication message (e.g. from the one or more first persons to the one or more second persons).

For example, the at least one neural network can be trained without permanently storing, reproducing (or having to store or reproduce) the corresponding content of the (first and/or second) communications. Alternatively or additionally, the one or more first parameters and/or one or more second parameters can also identify (only) a respective category and/or pattern of the parameters.

For example, the content-related feature of a section of the communication, e.g. according to a pattern recognition process, a stored similarity criterion, an association rule, can be classified into approx. 4 - 64 predefined classes (categories). In this case, only one category of the content feature, in particular not the content itself, can be taken into account for determining or adapting the at least one communication message. A distinction can also be made between several categories of transactions within the communication and/or categories of reactions by the at least one person to media content. For example, to determine or adjust the at least one communication message on the second user device, only one (recognized) category of the reaction of the at least one person, in particular not images or sounds corresponding to the reaction, can be stored, transmitted or taken into account.

The method preferably recognizes explicitly that a communication message, a spoken message or a transaction from a first person (a speaker) in the vicinity of the user device (in particular explicitly) is not directed to a voice control application or is not a voice command. The communication message can then not be used to interpret a control command or to exchange information with the voice control application (e.g. a voice assistant), but rather to determine or adjust one or more parameters of the communication message on the second user device (for another, second) person.

If, on the other hand, a verbal or body language message is recognized as a message directed to a voice control application (integrated in the user device or operated in the vicinity of the user device, e.g. in the same living room), no or a changed (according to another predetermined rule, Logic, formula, parameters of the mathematical context) determine or adapt the communication message and/or carry out a measure predefined for this case on the second user device or within the second living space.

Only or predominantly one parameter of an at least partially virtual and/or direct and/or non-technical (first and/or second) communication in the vicinity of the (first) user device, eg in one or more first living rooms, is preferably taken into account. A parameter of a communication (in particular a command or question) with a (only optionally provided or present) voice control or any technical device can, but does not necessarily have to be taken into account. One or more parameters of the communication to or with a voice control application or with a (only optionally provided, first personality model or avatar that is operated in the environment or environments of the one or more first user devices or first living spaces) can differ from the parameters of the first communication, e.g. the first communication between at least two of the first persons, e.g. according to a different rule, logic, Coefficient or parameter of the mathematical relationship are taken into account.

Alternatively or additionally, one or more parameters of the at least one communication message (also) dependent on at least one parameter in the vicinity of the second user device or within the second living space by means of the second user device or in the vicinity of the second user device, e.g. in the second living space Communication, and / or a second reaction of at least a second person to a second media content can be determined or adjusted.

According to an optional embodiment, the determination or adjustment of the parameter of the at least one communication message relates to a direction, distance, position and/or from which at least one section or content of the communication message (e.g. audio content belonging to the communication message and/or visual content, such as image content, video content) is output or made perceptible. One or more of the second parameters that determine the direction, distance, and/or position from which a corresponding content or section of the communication message is output and/or the avatar is made perceptible can be determined or adjusted, in particular dynamically become. In particular, a spatial area in the vicinity of the second user device can also be determined or adjusted from which the at least one communication message can be made perceptible, in particular from a specific direction or with a specific (expedient, desired) spatial sound effect or effect relating to visual perception.

For example, at least one direction, distance and/or position from which acoustic content (simplified: sound waves) and/or visual content (visually perceptible content, simplified: images, visible objects, videos) of the communication message is generated or for a Environment of the second user device present, probably present or assumed second person is made perceptible (expedient) determined or adjusted. The directions, distances and/or positions from which an acoustic content and a, in particular corresponding, visual content is output or made perceptible can be determined or adapted differently. For example, a parameter determining the direction, distance and/or position can be determined or adjusted in such a way that different acoustic content and/or different visual content (in terms of their output or perception by a second person who is at least potentially present) in the environment of the second user device or in the second living space are arranged according to predetermined criteria.

In particular, at least one neural network is trained and/or operated to generate a direction, distance, position, a spatial sound parameter or a virtual sound source with which the communication message is output, (also) depending on the (determined or assumed) spatial position or to adapt the distribution of several second persons to the spatial areas in the vicinity of the second user device. This can be done in such a way that an e.g. cumulative value of the effect or effectiveness of the communication message and/or at least one second communication taking place in the vicinity of the second user device, which relates to at least two people, is increased or controlled towards a target value. For example, the direction, distance and/or position from which at least one content or section of the communication message is generated can be determined and adjusted in such a way that a value relating to at least two of the second persons, in particular a cumulative value, indicates a measured, ascertained, estimated or simulated measure of the effect or effectiveness, e.g. an acoustic, emotional effect or effectiveness of a communication message is increased, limited, achieved or controlled towards a target value. For example, a measure of the effect may relate to one or more second persons (e.g. present, or likely to be present, in the vicinity of the second user device or within the second living space).

In particular, the at least one neural network can be trained and/or operated in order to increase the perceptibility and/or comprehensibility of the communication message or to control it towards a target value, in particular to optimize it. The perceptibility can also relate to a spatial distribution of the corresponding sound waves or sound sources, visual content and/or ascertained or assumed perceptual properties of the one or more of the second persons or persons in question belonging to the groups of persons in question.

In a further combinable example, the at least one neural network can be trained and/or operated to achieve or improve a (particularly subjective) spatial sound perception of a communication message and/or the additional media content, e.g. another multimedia signal to be output, by at least two of the second persons. This can preferably be done without or with reduced disruption to any (optional, ongoing, intended or predicted) communication between these people or others in the vicinity.

Alternatively or additionally, at least one neural network is trained and/or operated, a measure of a respective (unilateral and/or mutual) disturbance or susceptibility to disturbance in relation to (or for) human perception (e.g. as a measure of psychoacoustic masking, a measure of a correlation of at least one parameter, a measure of a content-related correlation that can lead to the disturbance of intelligibility) of at least one section of the communication message and a section of the (local, e.g. acoustically guided) communication, preferably to predict. This can be taken into account (for example as an inverse variable (or inverse function) for said perceptibility and/or intelligibility or as a basis for determining perceptibility and/or intelligibility).

For example, only or predominantly a certain part (e.g. content or section) of the communication message can be changed (by determining or adjusting the parameters) in such a way that the audible and/or visible direction, distance and/or position from which a large part of the corresponding sound waves or visually perceptible content are output or made for the perception of at least one (present or assumed) second person. Another part or channel of the audio signal, e.g. representing background music to be output via a (spatial sound capable) audio output device, e.g. less or in a different way, depending on the determined, in particular predicted, parameter of the auditory communication of the at least one second person (e.g. in the second living room) can be adjusted. The method can also improve the audibility or perceptibility of certain parts, in particular channels of a spatial sound or audio signal comprising the spatial sound, by (for) at least one (specific) second person.

Alternatively or additionally, depending on one or more determined parameters of the first communication and/or a (merely optional) second communication, the generation of the acoustic sound waves or a visually perceptible content of a communication message for a specific spatial area (e.g. the respective second living space or in the vicinity of the second user device) and/or for a specific second person, based on at least one (specific) communication message and/or at least one (specific) section of the further multimedia signal. One or more specific means belonging to or connected to the user device, output devices, e.g. external loudspeaker and/or image output device, a specific combination of speakers or with another output device, e.g. an audio output device, an image output device or a multimedia output device can be used. For example, the one or more second output devices or the distribution of the communication message to at least two output devices can be controlled depending on said first parameters and/or the second parameters.

For example, the at least one neural network can be trained and/or operated an acoustic, visual parameter, a measure of the effect of the communication message in a specific spatial area (e.g. in which a second person is or is suspected as a present or suspected listener or perceiver will) arrive, appropriately determine or adjust, e.g. towards a target value, change. At least one parameter of the communication message can be a measure of the (desirable) perception and/or processing (e.g. interpretation) of the communication message by the one or more (second) persons, a measure of the effect (to be exerted) on the one or more (second) persons, and/or characterize or be a measure of the response (to be stimulated) of the one or more second persons. The perception, processing, effect, reaction can relate to a second person (e.g. present, suspected, using the specific user account), in particular a specific second person or a second person belonging to a group of people. Such parameters of the communication message can be determined or adjusted, in particular in order to strive for, in particular to achieve, a more abstract (e.g. to the communication or relationship) and/or emergent (e.g. to a large number of people) goal.

For example, the at least one neural network can be trained and/or operated to determine a particularly subjective effect, effectiveness or an appropriate effect, eg for a specific direction of perception that is and/or should be caused by the communication message or adjust. For example, a corresponding measure of the effect, which is or will be caused in particular in a specific person or a person belonging to a group of people, can be increased above a predetermined threshold, reduced below a predetermined threshold, and/or changed towards an appropriate target value become.

Furthermore, the communication message or the sound waves can be generated on the basis of the communication message as one or more sound sources (or “perception sources”) that can be perceived (by the at least one second person). One or more contents of the communication message or the contents to be transmitted with a communication message can, depending on one or more parameters or information determined in the method, in particular according to a predetermined rule or logic, be sent to at least two e.g. in a second living room) perceptible sound sources can be assigned. The one or more parameters (to be determined or adjusted) can preferably be determined or adjusted for the generation of one or more (also virtual, at least audible through human perception) sound sources.

For example, a parameter of the communication message (which is determined or adjusted in the method) indicates a direction, a distance, a position, an acoustic parameter of one or more such sound sources and/or the visually perceptible outputs. The position of the sound source or the visually perceptible output (of the visible or made visible image or object) of the communication message preferably does not correspond to a position of a loudspeaker or a screen. Rather, the sound sources can be (virtual, perceptible by the person) sound sources produced acoustically, for example by generating and controlling a corresponding surround sound signal or by means of wave field synthesis.

The generation of the one or more sound sources can preferably relate to one or more specific spatial areas from which they are made perceptible (audible). The at least one neural network can preferably be trained and/or operated to identify one or more values for direction, distance, position and/or an acoustic parameter with a spatial sound parameter, which is or are to be assigned to at least one sound source.

Preferably, a parameter of the communication message that is determined or adapted in the method, e.g. e.g. seat) and/or for a specific group of people of the (present or presumed) second person for whom the respective content or the respective sound source is to be made perceptible or perceptible with specific or adapted parameters.

For example, at least one neural network is trained and/or operated to generate the sound waves of the communication message for at least two different spatial areas and/or at least two (present, detected, assumed or suspected) second persons at least two different sound sources that have different, respectively appropriately determined ones , have parameters that are objectively measurable or subjectively perceivable by the persons present or assumed, e.g. directions, positions, volumes. The (second) parameters of the at least two sound sources, e.g. the distribution of one or more content to be output to the at least two sound sources, can be determined or adjusted depending on the one or more first parameters of the communication or the reaction of the at least one first person.

The at least one neural network is preferably trained and/or operated in order to generate at least one sound source by means of or taking into account one or more reflections of the (relevant, radiated in a certain direction) sound waves on one or more surfaces (e.g. the respective living space). . For example, the at least one neural network can be trained and/or operated to cause sound waves to be emitted in a first direction, e.g. in the direction of a surface of the living space, e.g. a wall, in which e.g. in a specific room area and/or at a certain person, an effect (corresponding to the target value) is produced. In this case, a sound source (eg formed with at least one reflected sound wave) can be placed (eg generated at a specific position). In this case, the sound source can be made to be perceptible for the most part from a specific second direction, which is different from the first direction. For example, can at least one parameter of at least one communication message and/or the further multimedia signal is determined or adjusted, which is characteristic of the fact that a section or part of the sound waves of the communication message, e.g. relating to a specific frequency range, in particular in a specific way, from at least one area ( a wall, an object) of the living room are reflected. For example, the at least one neural network can be trained and/or operated to determine or adapt a parameter of the sound waves or sound wave patterns, with an effect corresponding to the target value being achieved in a specific spatial area and/or for a specific person. This can be sound waves or sound wave patterns that are to be reflected from one or more surfaces, eg walls, objects in the living space, eg to generate a virtual sound source. One or more parameters determine the direction, distance, position from which at least part of the communication message is output or made perceptible, can be determined or adjusted in the method in such a way that certain sound waves, sound wave patterns or images are in one or more (corresponding, certain ) spatial areas of the (second) living space are generated and/or made audible or visible from a specific spatial area or the perceptual perspective (with specific parameters).

For example, the at least one neural network can be trained and/or operated in a generated, at least subjectively perceptible, direction and/or distance, in particular the position of a sound source from which at least a section of the communication message and/or a section of the further multimedia signal, e.g. audio signal or The output of the video signal varies depending on one or more parameters of the communication in the environment of the user device in question or in the same living space. A specific direction and/or position and/or distance of a sound source or the image output in the living space coordinates and/or in relation to a person, in particular a specific person, in particular in relation to the head position or head alignment of the position can be adjusted or achieved . At least one perceptible position of at least one sound source or a perceptible image belonging to the communication message can also be changed, in particular moved, for example step-by-step or largely continuously, depending on at least one parameter of the communication. In particular, one or more sound sources or images generated in the method, which reproduce a (specific) content of one or more of the communication message and/or one or more sections of the additional audio signal in the living room, depending on the, in particular, predicted parameter of the communication and/or the reaction of the at least one person to a portion of media content in the environment of the user device or in the living space, are placed and/or relocated and/or moved in an appropriate manner.

For example, the sound waves can only or predominantly lead to a specific communication message for the perception of at least one (specific, present or assumed with a high degree of probability) person or for the perception by a person with a specific, current head position and/or head orientation spatially, e.g. with regard to their perceptible Direction or distance, moved, or created at a new position.

For example, communication messages or parts of a communication message from several first persons, in particular from several different virtual personalities, can be assigned to at least two different sources of perception, e.g. sound sources images, parts of an output device or be output from at least two different sound sources or parts of an output device.

At least two communication messages can be issued, the two different characteristics of the character, the behavior, in particular the communication behavior and / or concerning different topics, points of view, perspectives, etc. and / or communication messages from or on behalf of two different virtual personalities, to the different Characteristics of the character, the behavior, in particular the communication behavior and/or different topics, points of view, perspectives, etc. are assigned.

Alternatively or additionally, if it is determined that a communication message is to be output, a section of a further audio signal or of a further multimedia signal, e.g of a (specific) person or for perception with a current head position and/or head orientation spatially shifted, e.g. with regard to their perceptible direction or distance, or generated from at least one new sound source or an image output at a new position, with the new position, especially from the position of at least a sound source that distinguishes at least one communication message. In other words, a direction from which the additional audio signal or additional multimedia signal to be output currently or subsequently is output or made perceptible can be determined or adjusted if in the second living space or in the vicinity of the second user device approximately in the same time interval (also) the communication message is to be output.

For example, a second parameter (which is determined or adjusted in the process) can be characteristic or determining for a proportional relationship or a balance value between at least two contents, e.g. a content of the communication message itself and in another content deviating from the communication message, e.g. content another multimedia signal. For example, if a section of a second (verbal) communication is recognized or predicted in the vicinity of the second user device or a second living space, a section or part of the communication message and/or the further audio signal to be output in approximately the same time interval can be limited to a limited number of Channels or content can be reduced or demoted continuously or in stages.

For example, a parameter of the communication message and/or the additional multimedia signal can be determined or adjusted depending on the recognition that the communication message, an additional audio signal and/or a media communication is in the same environment or in the same (second) living space time interval are to be expected or take place. The at least one parameter of the communication message and/or the further multimedia signal can be determined in such a way that a (certain, objective or at least subjectively perceptible) simplification of the content and/or effect of the communication message or the further multimedia signal. For example, in such a case, instead of an (otherwise desired, demanding, e.g. generated by a multiplicity of audio channels) perception effect (e.g. a spatial sound effect), no or a significantly simplified effect can be generated. Rather, an increase in the perceptibility of the at least one communication taking place or expected in approximately the same time interval and/or the communication message can be brought about.

In a further example, the at least one neural network can be trained and/or operated. A second parameter characterizing a distribution or redistribution of content of at least partially different than sound waves and/or visually perceptible content (images, image sequences, videos, visible objects) of the generated To determine or adapt a communication message and/or parts (e.g. sections or content) of a communication message to at least two (perceptible) directions, distances, positions. For example, different sections or contents of the generated communication message can be transmitted with different spatial sound parameters, using different (virtual) sound sources, and/or using different image output devices, depending on the one or more first parameters of the communication or reaction of the one or more people to the media content (in the environment of a first user device or in several environments of the first user devices).

For example, one or more parameters of the communication message and/or a section of further media content to be output can be determined or adjusted in such a way that a distribution or distribution logic of the at least two contents or Sections on two or more channels, speakers, or virtual sound sources or (audio) output devices is determined or adjusted. The type and/or degree of priority of the at least one communication message and/or of the at least one section of the additional multimedia signal can be taken into account. For example, at least one section of the communication message and/or at least one section of the additional multimedia signal can be transmitted depending on their respective type and/or priority level with regard to the time interval of the playback, with regard to their time parameters (on a time axis, so to speak) and/or to different channels, loudspeakers, or virtual sound sources or output devices are distributed.

For example, the at least one neural network can be trained and/or operated at least two parts (sections or contents) of a communication message or two different communication messages for at least two directions, distances, positions and/or spatial sound parameters, in particular for sound sources placed differently in the vicinity of the assign (second) user device. It can be directions, distances, positions and/or spatial sound parameters from which the respective content is output, for example by appropriate output devices, or is made perceptible (for a second person). Alternatively or additionally, the assignment can be based on one or more predetermined criteria, eg relating to the respective content, an evaluation of the content, etc. For example, communication messages that are generated at least predominantly depending on the first parameters of a first group of first persons and communication messages that are generated at least predominantly depending on the first parameters of a second group of first persons can be made perceptible at least predominantly from different directions, distances, positions.

For example, it can be determined or recognized (preferably by means of the at least one correspondingly trained and/or operated neural network) that at least two sections of a communication message or two different communication messages each (e.g. at least in terms of content or meaning) have different opinions, points of view, assessments, Represent viewpoints, e.g. on at least one topic, query, context, and/or determine that these are generated (e.g. predominantly) depending on the first parameters from different first living spaces, groups of living spaces or people. The parameters for the two parts of the communication message or for the two different communication messages can then be determined or adjusted differently, e.g. depending on the respective opinions, points of view, evaluations, points of view, e.g . For example (e.g. thereupon, in response thereto) at least one parameter of at least one communication message can be determined or adjusted which is determinative for the direction(s), distance(s) and/or position(s) from the at least one of the at least two Sections of a communication message or one of the two different communication messages are generated and/or from which this or these are made perceptible.

• - an unterschiedliche zweite Personen; und/oder
• - mit (jeweils) unterschiedlichen Parametern (z.B. inhaltlichen Varianten, körpersprachlichen Varianten, etc.); übermittelt bzw. erzeugt werden.

For example, (preferably by means of the at least one appropriately trained and/or operated neural network), depending on a (possibly recognized or determined) difference in content or difference with regard to a content criterion of the at least two sections of a communication message or the two different communication messages ( which correspond in particular to at least two different first persons or specifications of different first persons), a different, in particular dynamically determined or adapted direction(s), distance(s) and/or position(s) from the one or more sections of a communication message or a of the two different communication messages can be determined or adjusted. The direction(s), distance(s) and/or positions is to be understood in particular as meaning a difference in the directions, distances or positions. For example, the at least two communication messages or variants of a communication message (e.g. depending on one or more first parameters and/or one or more second parameters) can (thereby):

• - to different second persons; and or
• - with (respectively) different parameters (e.g. content variants, body language variants, etc.); are transmitted or generated.

For example, the at least one neural network can be trained and/or operated to differentiate the at least two sections or contents of a communication message or the two different communication messages in terms of content. This can be done by assigning different directions, distances and/or positions (e.g. by appropriately controlling one of several output devices, spatial placement, orientation or directions of perception or directions from which the respective visually perceptible outputs come or for one or more second persons be made perceptible). Such a spatial arrangement of the (e.g. auditory, visual) content can promote a significantly more brain-friendly perception by at least one specific (probably, actually present or assumed in a spatial area) second person.

For example (preferably by means of the at least one correspondingly trained and/or operated neural network) a “spatial staging” and/or a (not necessarily actually taking place) dialogue between the at least two different contents or a comparison or a comparison of two different ones Content is represented, illustrated or represented symbolically. This can be done, for example, by outputting the at least two contents from at least two different (distinguishable by human perception) directions, distances and/or positions or making them perceptible (with any known or new means).

For example, depending on a large number of the first parameters, the (each) using different first user devices or from different first living spaces (eg from the contents of at least two sections of a communication message or from the contents of two different communication messages) are generated.

At least one neural network is trained and/or operated to recognize that certain parts (contents or sections) to be output with one or more communication messages are to be classified in certain or different categories, e.g. different opinions, points of view, evaluations, points of view, e.g represent at least one topic, inquiry, context, and/or trigger or would trigger certain or different reactions or effects in the corresponding first persons. The one or more of the (second) parameters relating to (the same or similar) contents or sections of different categories of a communication message can each be determined or adapted differently. For example, direction(s), distance(s) and/or position(s) can be made perceptible from one or more sections of a communication message or one of two or more different communication messages (in a second living space or in the vicinity of the second user device). will be determined or adjusted.

For example, at least two sections of a communication message or two communication messages can be generated for a topic, context, question, input, event, occasion, etc., each of which has at least two different, (e.g. content-related) contrasting, in particular opposing content to one (or on the one) mark topic, context, question, input, event, cause, etc., are issued or made perceptible from at least two different directions, distances and/or positions.

• - an unterschiedliche zweite Personen; und/oder
• - mit (jeweils) unterschiedlichen Parametern (z.B. inhaltlichen Varianten, körpersprachlichen Varianten, etc.); übermittelt bzw. erzeugt werden.

For example, at least one neural network can be trained and/or operated to generate the at least two communication messages or variants of a communication message:

• - to different second persons; and or
• - with (respectively) different parameters (e.g. content variants, body language variants, etc.); are transmitted or generated.

For example, depending on a (e.g. mathematical, statistical) distribution of the parameter values from several first communications or second communications and/or the several reactions of one or more first persons or the second persons to a media content, an assignment of the contents or sections the at least two communication messages or parts of a communication message are executed in two or more directions, distances and/or positions. For example, for these at least two different sound sources (distinguishable by human perception), in particular sound sources, images, tactile or olfactory stimuli can be generated in a second living space or in the vicinity of the second user device.

For example, at least one neural network is trained and/or operated, at least two contents, in particular the at least two sections of at least one or more communication messages, which contain at least two categories or opinions that are significantly different from one another, contrasting or opposed to one another (e.g. advantages and disadvantages, opinion trends, in a simplified example: "facts", facts or arguments "pro", "contra", "neutral"), and/or to a point of view of different (first) people or different groups of people, and/or to more or less old or new Output data, parameter-based content, from at least two different perception perspectives, sound sources, in particular (virtual) sound sources, or make them perceptible. Furthermore, the at least two communication messages, e.g. each with different content, in particular (e.g. according to predetermined criteria) can represent contrasting content, at least partially in the same time interval, in particular at least partially overlapping in time or simultaneously, or also in one (e.g. according to predetermined criteria, from their Content-dependent) order are output.

For example, the at least one neural network is trained and/or operated, the at least two sections of one or more communication messages depending on one or more parameters of one or more first communications and/or depending on one or more parameters ter a second communication in the vicinity of the second user device or in a second living space, to certain directions of perception, eg sound sources, in particular (virtual) sound sources, or to directions or parts of space in which visual information is made perceptible.

For example, the content can be assigned to at least two sound sources depending on a (predetermined or determined according to predetermined criteria) relation or association of at least one feature of the first communication, and/or a (predetermined or determined according to predetermined criteria) relation or association of at least one Feature of the second communication, or depending on a comparison of the parameters of the first communication and the parameters of the second communication.

For example, one or more of the first parameters of one or more first communications in which one or more first persons are involved, in particular (each) of a communication between the at least two of the first persons, can be determined. These parameters can be determined within a certain time interval (and possibly from a large number of communications) and stored (possibly in a pre-processed form). For example, one or more of the second parameters of a second communication in which one or more second persons are involved, in particular a communication between the at least two of the second persons, can be determined and taken into account. The first parameters and the second parameters can be subjected to a comparison, in particular an aggregation, a (rule-based or non-rule-based) learning process, etc. according to predetermined criteria. The result of the comparison can be taken into account when generating the at least one communication message. For example, the at least one (corresponding in particular also to be understood: relevant) mathematical relationship can be determined or adapted depending on the result of the comparison or the at least one neural network can be trained and/or operated.

• - zwei unterschiedliche Kommunikationsbotschaften oder zwei unterschiedliche Inhalte für eine Kommunikationsbotschaft bestimmt oder angepasst werden, und/oder
• - eine Zuordnung, insbesondere Aufteilen der Kommunikationsbotschaften bzw. zwei unterschiedlichen Abschnitten oder Inhalten von zumindest zwei Kommunikationsbotschaften zu bzw. auf zumindest zwei Positionen, Richtungen und/oder Entfernungen aus welchen diese (hauptsächlich) wahrnehmbar gemacht werden, und/oder zu bzw. auf zumindest zwei virtuelle Persönlichkeiten bestimmt oder angepasst werden. Beispielsweise können auszugebende Abschnitte bzw. Inhalte (die z.B. zu unterschiedlichen Kategorien gehören) in bzw. auf zwei oder mehrere Ausgaberichtungen, insbesondere auf zumindest zwei Schallquellen und/oder Wahrnehmungsrichtungen visueller Ausgaben zugeordnet bzw. aufgeteilt werden.

For example (preferably by means of the at least one correspondingly trained and/or operated neural network) depending on the one or more first parameters and/or one or more second parameters (e.g. those of the respective communications and/or the reactions of the respective persons to media content ):

• - two different communication messages or two different contents for one communication message are determined or adapted, and/or
• - an assignment, in particular division of the communication messages or two different sections or contents of at least two communication messages to or at least two positions, directions and/or distances from which these are (mainly) made perceptible, and/or to or at least two virtual personalities can be determined or adjusted. For example, sections or content to be output (which, for example, belong to different categories) can be assigned or divided into two or more output directions, in particular at least two sound sources and/or directions of perception of visual outputs.

In particular, the at least one neural network can be trained and/or operated to decide, depending on the first parameters, that two different communication messages or two different contents of a communication message (as such) are formed and/or visually perceptible outputs from different sources of perception, e.g. sound sources or perceptible directions and/or second persons. Also, e.g. the difference between the directions for outputting the two communication messages or two different contents of a communication message can depend on a comparison of the first parameters of the communication and/or one or more first parameters of the reaction of at least one person to a media content with one or more second parameter of the communication in the environment of the second user device and/or a parameter of the reaction of at least one person to media content in the environment of the second user device.

The at least one neural network is preferably trained and/or operated, a dynamic assignment of different content to be output within the second living space or in the vicinity of the second user device or of the sections of the at least one communication message and/or of sections of the at least one other ( E.g. to be output in the second living room) audio signal, to different directions, distances, positions (from which these be made perceptible or the desired effect is created). The content or sections can be assigned to directions, distances, positions, eg sound sources, visually perceptible display areas (display directions, perceptible distance, display locations, etc. for at least part of the content) depending on one or more predetermined conditions. For example, the assignment takes place depending on the respective content to be output (on the second user device or within the second living space) and/or on one or more first parameters (determined by one or more first user devices or related to one or more first living spaces).

For example, one or more contents to be output in the second living space or in the vicinity of the second user device can be made perceptible from different directions, distances or positions (e.g. assigned to at least two sound sources or optical images) or to different virtual personalities ( e.g. those that are perceptible as different beings, e.g. have different voices, appearance, character) if it is determined that the two contents have a significant difference, in particular in terms of content, from one another. For example, these two different contents of a communication message (in a second living space or in the vicinity of the second user device) and / or their respective assignment to different directions, distances or positions depending on the one or more parameters of one or more communications in the one or more first living spaces and/or depending on the parameter of the reaction of (each) at least one person to media content within a plurality of, preferably a large number of, different first living spaces or on a large number of the first user devices.

For example, the at least one neural network can be trained and/or operated a parameter of the communication, in particular a communication project of at least one person, in particular in response to a section of the communication, e.g. on a specific topic, by recognizing their lip movement and/or a physical Stimulus to determine, in particular to predict. A parameter of a section of a communication message can then be determined or adjusted. This can also be predictive (just before or just after the beginning of first person speaking). One or more parameters of a communication message are preferably carried out depending on a comparison (data processing, analysis, a rule-based or non-rule-based learning process) of one or more first parameters of a physical impulse, in particular body language. For example, a parameter of a micro-expression of a first person and a respectively corresponding, e.g. simultaneously or subsequently determined further first parameter, e.g. of a section of the spoken communication, can be processed.

For example, the at least one neural network can be trained and/or operated to determine a parameter of the reaction of at least one first person to a section of media content depending on: a specific physical impulse or type of physical impulse. Such a reaction can be based on a facial expression and/or expression through gestures by the person, preferably as a pattern of physical agitation (e.g. typical for a specific person or person belonging to a specific group of people or learned for a person or group of people in the process). be.

Such a pattern can be indicative of, e.g., a smile, laughter, chuckle, liking (something), agreeing (to something), crying, horror, fear, sadness, rejecting (something), wanting, craving, etc. and/or for a specific cognitive process, e.g. remembering, drawing conclusions, comparing, deciding, etc. The parameter of the reaction can also depend on an acoustic reaction of the person (especially in combination with a physical impulse), in particular speaking, e.g. with a specific choice of words, intonation , etc. and/or a changed breathing, an interjection, etc. can be determined.

Based on the one or more reactions of (each) one or more people to (certain) sections of the media content or communications, (learning) data, for example as so-called weight data (such as a checkpoint) can be determined and taken into account in the process. This (learning) data of the neural network that has been trained or is to be trained can in particular characterize a mathematical relationship between the parameter of the section, for example the effect or effectiveness of the section, and a parameter of the corresponding reaction. The mathematical relationship can be determined for a specific first person or a first person belonging to a specific group of people, in particular it can be learned and taken into account in the method. For example, a recognized pattern of a physical movement or gesture, facial expressions, lip movement, micro-expression of one or more first persons who appear on sections of the first communication and/or on sections of the media content perceived by the first person with (in each case specific, different) parameters of the sections and are taken into account in the method.

In the method, the number and/or distribution of the at least two, preferably all, people present in the vicinity of the first user device or a respective living space in certain spatial areas or occupied areas is preferably determined and taken into account. This can be done as part of a detection, recognition or classification of a scene in the area. In a simplified case, the number and/or the distribution of the people present in the respective environment or within the respective living space can be determined with one or more infrared sensors, motion detectors, presence sensors, fire protection sensors in the respective living space or with other sensors, which e.g serve to control other systems in the house. Furthermore, data or signals from a sensor or system in the house can be determined, which is used to (need-based) control the lighting, heating, ventilation, fire alarm or a fire prevention or fire extinguishing system in the living space or house. The number and/or the distribution of the people present in the living space can be determined in the method by means of sensors or systems known per se, or by means of sensors or devices in the living space that are set up or developed to carry out the method. The corresponding information can be determined using the respective user device, e.g. queried or read by the respective sensors in the living room or by the sensors integrated in the user device. Medial For example, the communication message (to be output on the second user device or in a second living space) includes an audio signal, an image or video signal, a generated language, and/or a (second, technically representable, e.g. reproduced, simulated, visualized) physical message Emotion, in particular a body language expression or body language. The physical movement can be a physical movement or body language that can be technically controlled (e.g. on the second user device or in the second living space) and is at least symbolic, preferably photorealistic or physically visualizable. The at least one communication message can therefore be a body language expression or body language, in particular a message and/or emotion expressed in body language, which is continuously and/or dynamically controlled depending on the at least one second parameter. The communication message can include or be a voice message generated by voice generation.

The at least one communication message is generated (in particular also: generated) depending on the first parameter(s) of the first communication or the reaction of the one or more first persons, without these comprising a part of the one or more first communications or reactions or must play back. The at least one communication message can be generated by means of a medium on a perception channel (for perception with a specific sense of perception of the person) or communication channel that differs from the medium, perception channel or communication channel in which the at least one first communication or a first reaction takes place or is detected, differs. For example, depending on one or more first parameters, e.g. expressed as facial expressions, gestures, pose, etc., body language of the one or more first persons (e.g. in the vicinity of the one or more first user devices or within the first living room or rooms), a section of a multimedia signal, an avatar generated as an auditory message and/or a (perceptible, in particular dynamically controlled) physical emotion, body language of an avatar (perceptible to at least a second person on a second user device or within the second living space).

For example, the at least one neural network can be trained and/or operated to determine one or more parameters of the communication message depending on one or more first parameters, e.g. or dynamic) control of a virtual personality, in particular body language, a message expressed in body language or an emotion of the avatar.

For example, the at least one communication message (on the second user device or within the second living space) can include or be at least one audio signal to be output and/or an auditory message or based on the data of an audio signal to be output and/or on the basis of the data as an auditory message are to be output can be generated. Alternatively or additionally, the at least one communication message can be a representation, in particular a visually perceptible one, of a physical emotion, body language (in a simplified case one of several variants of a body language expression), an emotional expression. This can be a physical impulse or include or be body language or emotion of an avatar described in this document. The auditory content and/or visual content to be output or on which the communication message is based, e.g. an audio signal or as an image signal, video signal, signal for representing a simulation, can be a signal based on the (e.g. content) already predetermined or essentially fixed , fixed (auditory or visual) content (this also includes the corresponding data).

The audio signal to be output (also: audio signal already determined or preselected for output or data for output of the audio signal) and/or video signal (also: signal already determined or preselected for output as an image or video) can itself (e.g. in terms of content, causal) be independent of any interaction between the people in the second living space and/or with the second user device. The one or more parameters of the at least one part of the auditory output, which is generated on the basis of the data of an audio signal to be output, and/or the one or more parameters of the at least one part of the auditory output, which is generated on the basis of an audio signal to be output, be determined or adapted differently (e.g. according to different logics, formulas, characteristics).

An auditory content and/or visual content to be output, in particular an audio signal or image signal or video signal, can be used as an analog or digital signal, as a coded spatial sound signal or data sections for the output of a corresponding acoustic content, e.g. as data sections identifying a specific sequence (to be output). acoustic sound waves. Alternatively or additionally, at least a part of the audio signal or the video signal to be output can be generated (calculated, generated) (also within the scope of the method), e.g. largely real-time capable.

The one or more (second) parameters of the at least one communication message can be determined as data sections and/or instructions for creating, in particular synthesizing, generating the corresponding sound waves, images, for changing the parameters of the auditory or visual content (to be output). Alternatively or additionally, one or more parameters can be the control or control of the behavior of the avatar. The corresponding communication message can (e.g. from the sections or contents to be output) be generated (calculated, made perceptible by the second person) largely in real time, for example.

The communication message can at least in principle or presumably include (auditory, visual, tactile, olfactory) content desired by the one or more second persons and/or a form that is as perceptible as possible for the one or more second persons, in particular in relation to the corresponding second parameter exhibit. In particular, the content or signals (which can be output audibly and/or visually) on which the generation of the communication message is based are largely made up of data or sources that are essentially independent of the one or more first living spaces or first user devices. This can, for example, be common sources or common output data for several second user devices or living rooms. The (audible and/or visual output) content on which the generation of the communication message is based preferably differs at least for the most part from the auditory and/or visual content originating from one or more first living spaces or from the first user device. For example, the method can also be applied to (auditory and/or visual) content to be output essentially in real time or with a small delay in one or more second living spaces or on the second user devices.

For example, at least one neural network is trained and/or operated to determine or adapt one or more parameters of a communication message in such a way that the communication message has a specific effect, in particular one that corresponds to a goal or target value, on at least one or a second person or reaction of the stimulated, in particular achieved, one or more second persons. In this case, the parameters of the communication message can be determined or adapted, in particular in a number of steps. For example, parameters of the next communication message (following a first communication message, e.g. stimulated or influenced by the communication message) or of a further communication message (e.g. coming from another person) can be determined or adjusted. The (achieved and/or predicted) parameters of the effect and/or reaction of the first communication message can be taken into account. For example, a deviation of the actually achieved effect or reaction, e.g. from the predicted value and/or target is determined. The deviation can be reduced in a next step, e.g. in a subsequent or further communication message that is de-excited or influenced by the communication message.

For example, the goal can have a certain effect on the at least one second person, e.g. an effect that corresponds to a target value can at least be aimed at at least temporarily or partially compared to a rational goal or a goal related to concrete things, e.g. compared to an efficient or precise communication of information or be superordinated to a specific, in particular predictable, mode of operation. In other words: a communication message or the behavior of the avatar can be at least partially or predominantly irrational, for example in favor of a specific emotional, psychological or cognitive effect.

In particular, machine or non-rule-based learning can be carried out, e.g. depending on a large number of the (first and/or second) parameters described in this document. For example, the learning process can be carried out towards a specific goal or target value range in relation to the effectiveness, effect of the communication message or reaction of a person. For example, the at least one neural network is trained to achieve a specific target (e.g. at least partially specifiable by one or more specific first persons) or target value range of the effect or reaction of at least one specific second person or a second person belonging to a specific group of people.

For example, one or more learning processes can have one or more specific goals or target value ranges of the effect of the communication message or the reaction stimulated with it on one or more specific (second) people or second people who belong to specific groups of people. This results in an advantage since the number of variants of the learning processes or the parameters must be carried out predominantly only for a comparatively small number of groups of people.

In particular, the method includes providing the determined parameters of the at least one communication message. The provision can e.g. take place to select, determine or adapt the at least one piece of first information and/or a section of the media content on the first user device. For example, depending on the determined parameters of the communication message and/or on an effect of the communication message on the at least one second person, on the reaction of the at least one second person, one or more first pieces of information and/or media content for the one or more first people, in particular for stimulating or influencing the said reaction of the one or more first persons. In other words, an exemplary step (8) of the method comprising determining or adjusting a parameter of the communication message and a step (3) of the method comprising determining the reaction of one or more (other) first persons and a step (*) comprising that Training of the at least one neural network can be carried out several times, e.g. at least partially alternately, one after the other or with a time overlap (in particular on different user devices or depending on the data from multiple user devices). Depending on the output of one of the steps (8), an input for step (*) and/or the other (e.g. further and/or related to a further user device) step (3) can be determined or used. Exceptionally, however, the second person can be one of the number of one or more first persons, in particular one of the first persons, or be the one first person. In this case, the characteristics of the procedure can also be applied to only one person or to a number of the same persons.

The at least one communication message can have or make perceptible an emotion, need, appeal, perception, self-perception, etc., represented in particular as a parameter, state, state transition or controlled by the corresponding second parameter and/or first parameter. At least one (additional) parameter of the communication message can be selected depending on the state or state transition. Such a parameter can be, for example, a parameter of speech generation, image generation, body language generation and/or one or more processing parameters, in particular the interpretation of the environment of the second user device, so to speak the perception or interpretation of the respective environment
be. In particular, states or state transitions (corresponding in each case) can be determined or adapted depending on the one or more first parameters of one or more first user devices, people or living spaces. For example, one or more virtual personalities can each represent one or more different groups of the first persons or be operated by different groups of the first persons depending on the first parameters. For example, the parameters from a group of people can then be taken into account together for operating the respective avatar.

According to a further embodiment
that one or more first personality models or first avatars are set up (eg trained and/or configured) and/or controlled depending on first data relating to one or more first persons;
and or
that set up (eg trained and/or configured) and/or controlled one or more second personality models or second avatars depending on second data relating to one or more second persons.

The first data can include, be or be determined as a function of the first parameters described in the present document. The second data can include, be or be determined as a function of the second parameters described in the present document. Setting up the respective personality model can involve training and/or configuring the personality model, in particular technical means (e.g. an artificial intelligence) of the personality model.

The one or more first parameters relating to one or more first persons may include or be dependent on one or more parameters of one or more first communications of one or more first persons and/or one or more parameters of a first reaction of the one or more first persons to media content be determined; and/or one or more second parameters concerning one or more second persons may comprise one or more parameters of one or more second communications of one or more second persons and/or one or more parameters of a second reaction of the one or more second persons to a media content or be determined depending on this.

According to a further embodiment, a first personality model, in particular a first avatar that can be operated as a function of the first personality model, represents a first person in an at least partially simulated and/or at least partially virtual communication, in particular to one or more second people and/or to one or more second personality models of one or more second persons; and/or represents a second personality model, in particular a second avatar that can be operated as a function of the second personality model, of a second person in at least partially simulated communication and/or at least partially virtual communication, in particular towards one or more first people and/or one or more first people Personality models of one or more first persons.

The representation can take place within the framework of the real communication and/or a simulated communication (e.g. at about the same time and/or previously executed).

For example, a personality model of oneself or one's own communication party can be used to support the real communication.

For example, a simulated communication, in particular one or more possible or expected variants of the communication, can be carried out using one or more personality models. For example, a personality model of oneself or one's own communication party and/or one or more personality models of the communication partner can be used.

According to a further embodiment, at least partially simulated communication is carried out in order to determine a parameter to support real effective communication, in particular communication involving one or more real first persons and/or one or more real second persons.

The simulated communication can be carried out using the at least one first personality model and/or using at least one second personality model. This may be for the purpose of supporting a communication involving one or more real first persons and/or one or more real second persons, in particular to ascertain information that can be used in supporting the latter information.

The communication in which one or more first persons and/or one or more second persons are involved can be (at least partially) real communication in which the information, in particular the information intended for the communication to be supported (e.g a useful information) takes place. This communication can be communication with real effects (eg on one of the real communication partners).

A parameter for supporting at least part of the communication involving at least one real person can be determined. Such a parameter can, for example, include or be voting information, support information, feedback and/or report information described below.

For example, a parameter for supporting at least part of the communication involving at least one real person, in particular communication between the real first person and a real second person or a second personality model of the one or more second persons, depending on the simulated execution of the communication (by means of at least of a personality model) can be determined. The determined parameter can be provided.

• - der realen ersten Person mit einer realen zweiten Person oder einem zweiten Persönlichkeitsmodell der einen oder mehreren zweiten Personen; oder
• - der realen zweiten Person mit einer realen ersten Person oder einem ersten Persönlichkeitsmodell der einen oder mehreren ersten Personen; umfassen oder sein.

A communication involving at least one real person can be an at least partially real and/or at least partially simulated communication:

• - the real first person with a real second person or a second personality model of the one or more second persons; or
• - the real second person with a real first person or a first personality model of the one or more first persons; include or be.

• - Erzeugen einer Abstimmungsinformation an eine oder mehrere erste Personen die kennzeichnend ist für eine Abstimmung zwischen mehreren unterschiedlichen Vorgaben betreffend die Kommunikation der einen oder mehreren ersten Personen; und/oder
• - Erzeugen einer Unterstützungsinformation zum Unterstützen der Kommunikation; und/oder
• - Erzeugen eines Feedbacks an die eine oder mehrere erste Personen; und/oder
• - Unterstützen der einen oder mehreren ersten Personen beim Erzeugen oder Anpassen einer Kommunikationsbotschaft an eine oder mehrere zweite Personen; und/oder
• - Unterstützen einer virtuellen Begegnung, Handlung und/oder Interaktion zumindest einer ersten Person und/oder zumindest einer zweiten Person; und/oder
• - Erzeugen einer Reportinformation an die eine oder mehrere erste Personen bei der Kommunikation bzw. im Zusammenhang mit der Kommunikation, insbesondere kennzeichnend einen Verlauf der Kommunikation, Agieren und/oder Geschähen im Zusammenhang mit der Kommunikation.

According to a further embodiment, supporting the communication is or includes:

• - generating voting information to one or more first persons which is indicative of a vote between a plurality of different specifications relating to the communication of the one or more first persons; and or
• - generating support information for supporting the communication; and or
• - generating feedback to the one or more first persons; and or
• - assisting the one or more first persons in creating or customizing a communication message to one or more second persons; and or
• - supporting a virtual encounter, action and/or interaction of at least one first person and/or at least one second person; and or
• - Generating report information to the one or more first persons in the communication or in connection with the communication, in particular identifying a course of the communication, actions and/or events in connection with the communication.

• - Unterstützen der einer oder mehreren ersten Personen beim Erzeugen einer Kommunikationsbotschaft (z.B. zum Erzeugen eines Entwurfs oder einer oder mehreren Varianten der Kommunikationsbotschaft).

In particular, one or more entries from the following list can be counted to support at least partially virtual communication:

• - Assisting the one or more first persons in creating a communication message (eg for creating a draft or one or more variants of the communication message).

• - Prädizieren einer Wirkung der zumindest einer Kommunikationsbotschaft (z.B. auf Basis eines oder mehrerer Entwürfe) bei der einen oder mehreren zweiten Personen bzw. Reaktion der einen oder mehreren zweiten Personen auf zumindest eine Kommunikationsbotschaft.
• - Erzeugen einer Abstimmungsinformation an eine oder mehrere erste Personen die eine Abstimmung zwischen mehrerer ersten Personen oder zwischen mehrerer zweiten Personen (z.B. innerhalb der jeweiliger Kommunikationspartei) betrifft. Diese kann kennzeichnend sein für einen Abstimmungsbedarf zwischen mehreren unterschiedlichen Vorgaben der einen oder mehreren ersten Personen (z.B. zu einer Kommunikationsbotschaft bzw. Kommunikation). Die Abstimmungsinformation kann z.B. für einen Grad der Abstimmung zwischen den ersten Personen (z.B. untereinander), und/oder für einen Abstimmungsbedarf, z.B. einen bestimmten Abstimmungsbedarf kennzeichnend sein. Beispielsweise kann diese zum Unterstützen der mehreren ersten Personen (z.B. eine Familie, Verhandlungspartei, etc.) oder ebenso für mehrere der zweiten Personen verwendet werden. Dabei kann für diese (im Rahmen des Unterstützens) kenntlich gemacht werden wie gut ihre Vorgaben zu der Kommunikation (untereinander) zielführend sind und/oder eine Unterstützung (z.B. kennzeichnend für bestimmte Anpassungen) ausgeführt bzw. angeboten werden um die Vorgaben (z.B. im Sinne des Erfolgs der Kommunikation) ausgeführt werden. Diese kann zum Unterstützen der Kommunikation sehr vorteilhaft verwendet werden, weil der Erfolg der Kommunikation meistens von den zueinander passenden Erwartungshaltungen abhängig ist.
• - Erzeugen einer Unterstützungsinformation und/oder eines Feedbacks an die eine oder mehrere erste Personen. Die Unterstützungsinformation und/oder Feedbackinformation können sich auf die bestimmte Kommunikation, bestimmte eine oder mehrere zweite Personen, und/oder bestimmte Situation beziehen.

For example, sections of a (e.g. immediately usable, transferrable) communication message or sections of a corresponding draft (e.g. changeable by the one or more first persons) can have one or more variants (e.g. selectable and/or combinable by the one or more first persons). one or more variants of the communication message are generated. These can (eg at least in advance) be issued to the one or more first persons.

• - Predicting an effect of the at least one communication message (eg based on one or more drafts) in the one or more second persons or reaction of the one or more second persons to at least one communication message.
• - Generation of voting information to one or more first persons which relates to a vote between several first persons or between several second persons (eg within the respective communication party). This can be indicative of a need for coordination between several different specifications of one or more first persons (e.g a communication message or communication). The coordination information can, for example, be indicative of a degree of coordination between the first persons (eg among themselves) and/or of a need for coordination, for example a specific need for coordination. For example, this can be used to support multiple first persons (eg, family, negotiating party, etc.) or multiple second persons as well. It can be made clear to them (as part of the support) how well their specifications for communication (among themselves) are target-oriented and/or support (e.g. indicative of certain adjustments) is carried out or offered in order to meet the specifications (e.g. in the sense of the success of the communication) are executed. This can be used very advantageously to support communication, because the success of communication mostly depends on matching expectations.
• - generating support information and/or feedback to the one or more first persons. The support information and/or feedback information may relate to the particular communication, particular second person(s), and/or particular situation.

The coordination information and/or support information and/or feedback can, but does not have to, include any information that is valid or unchangeable in general or over a longer period of time. Rather, these are related to the specific case and/or time interval.

For example, the generation of the coordination information and/or support information and/or feedback can relate to a specific time interval, context, situation, type of communication, a specific communication and/or depending on the (e.g. specified) time interval, type of communication, a specific Communication, a determined or predicted context, situation, emotion of one or more first persons and / or one or more second persons are executed.

The support information can be information for supporting, in particular advising, the one or more first persons; For example, the support information (generated or directed to the one or more first persons) can relate to a specific communication, in particular to a specific (also to be understood in particular: specific) communication message, to a specific (also to be understood in particular: specific) specification a communication message, to a specific specific (also to be understood in particular: specific) design, and/or a specific (also to be understood in particular: specific) variant of the specific communication message.

The support information can be information related to the near future or to next steps of the communication (“forward-looking” information, so to speak). This can, for example, include or be one or more recommendations (e.g. formulated in a third person) to the one or more first persons.

• - Wirkung zumindest einer Kommunikationsbotschaft auf eine oder mehrere zweite Personen;
• - Interpretation, Wertung und/oder Antwort der einen oder mehreren zweiten Personen; und/oder
• - Reaktion der einen oder mehreren zweiten Personen auf zumindest eine Kommunikationsbotschaft;
• - Prognose, insbesondere zum weiteren Verlauf der Kommunikation.

Insbesondere kann das Feedback (auch) repräsentierend für eine oder mehrere der oben genannte Gegebenheiten sein.The feedback can be generated, among other things, determined depending on determined or predicted:

• - Effect of at least one communication message on one or more second persons;
• - interpretation, evaluation and/or response of the one or more second persons; and or
• - Response of the one or more second persons to at least one communication message;
• - Prognosis, in particular for the further course of communication.

In particular, the feedback can (also) be representative of one or more of the above conditions.

The interpretation, effect, score, response and/or reaction may relate to the particular context. For example, the interpretation, effect, evaluation, response and/or reaction of one (e.g. of several) communication messages in the context of further (e.g. previous) communication messages of the communication and/or in the context of one or more first persons and/or in the context of one or more second ones be people.

For example, data for generating feedback can be determined or predicted at least partially by sensors and/or at least partially by computation or (eg by executing one or more personality models described in the present document).

The at least one item of support information and/or feedback can be generated before, during and/or after the communication, in particular after a section of the communication, e.g. one or more communication messages or sections of a communication message.

The support information and/or the feedback can be generated and/or changed on an ongoing basis.

In particular, an output that is dependent on one or more of the pieces of information determined can be generated for the respective person (e.g. a person who is the first person in the respective communication or communication section).

Generating the voting information, support information, feedback and/or report information; and/or facilitating a simulated encounter, action and/or interaction of at least one first person and/or at least one second person may be dependent on performing an at least partially simulated communication using one or more first personality models (one or more first persons) and/ or one or more second personality models (one or more second persons). In particular, the voting information, support information, feedback and/or report information; and/or supporting a simulated encounter, action and/or interaction of at least one first person and/or at least one second person depending on the result of the (fully or partially) virtualized communication.

• Daten zumindest einer Kommunikationsbotschaft des einen oder mehreren erste Persönlichkeitsmodelle an eine oder mehrere zweite Personen oder einen Persönlichkeitsmodell einer oder mehreren zweiten Personen;

und/oder
Daten zumindest einer Reaktion der einen oder mehreren zweiten Personen oder eines Persönlichkeitsmodells einer oder mehreren zweiten Personen
ermittelt werden;
Die ermittelten Daten können zum Unterstützen zumindest eines Teils der Kommunikation verwendet werden.For example:

• Data of at least one communication message of the one or more first personality models to one or more second persons or a personality model of one or more second persons;

and or
Data of at least one reaction of the one or more second persons or a personality model of one or more second persons
be determined;
The determined data can be used to support at least part of the communication.

• - Prädizieren einer Wirkung der Kommunikationsbotschaft und/oder einer Reaktion einer zweiten Person auf die Kommunikationsbotschaft (z.B. einer Kommunikationsbotschaft die auf Basis einer bestimmten Vorgabe, Entwurfs oder einer Variante der Kommunikationsbotschaft);

Furthermore, supporting the at least partially virtual communication can include or be:

• - Predicting an effect of the communication message and/or a reaction of a second person to the communication message (eg a communication message based on a specific specification, draft or a variant of the communication message);

• - Bestimmen oder Anpassen eines oder mehrerer Parameter der Kommunikationsbotschaft;
• - Erfassen und/oder Auswerten der Reaktion der einen oder mehreren zweiten Personen (z.B. Erfassen der tatsächlich eingetretenen Reaktion und/oder Auswerten z.B. hinsichtlich des Unterschieds zu einem prädizierten Wert;
• - Überprüfen einer ausgehenden und/oder eingehenden Kommunikationsbotschaft. Beispielsweise kann beim Überprüfen ausgeführt werden inwiefern ein Inhalt und/oder Form einer ausgehenden und/oder eingehenden Kommunikationsbotschaft zu der einen oder mehreren Vorgaben und/oder zu den jeweiligen zweiten Parametern passend ist bzw. zum Erreichen des Ziels der Kommunikation bzw. Zielwert der Wirkung bzw. Reaktion hinreichend geeignet ist.
• - Erzeugen einer Abstimmungsinformation und/oder Feedback für eine oder mehrere erste Personen. Die Abstimmungsinformation kann für die Anzahl der ersten Personen erzeugt werden und/oder der Abstimmung zwischen einer Anzahl der ersten Personen hinsichtlich der Vorgaben zum Unterstützen der Kommunikation, insbesondere zum Erzeugen zumindest einer Kommunikationsbotschaft dienen.

For example, a selection of one or more first persons and/or one or more second persons and/or a target, in particular a target value of the communication, and/or one or more communication messages, in particular drafts or variants of communication messages, are generated or adapted to a desired effect and/or reaction.

• - determining or adjusting one or more parameters of the communication message;
• - Recording and/or evaluating the reaction of the one or more second persons (eg recording the reaction that actually occurred and/or evaluating, for example with regard to the difference from a predicted value;
• - Checking an outgoing and/or incoming communication message. For example, when checking, it can be carried out to what extent a content and/or form of an outgoing and/or incoming communication message is suitable for the one or more specifications and/or for the respective second parameters or for achieving the goal of the communication or target value of the effect or .Reaction is sufficiently suitable.
• - Generation of voting information and/or feedback for one or more first persons. The voting information can be generated for the number of the first persons and/or can be used for voting between a number of the first persons with regard to the specifications for supporting the communication, in particular for generating at least one communication message.

For example, the one or more items of voting information and/or the one or more feedbacks (e.g. by means of identifiers or by means of so-called blockchain, blockchain technology or distributed ledger technology) can be linked and/or generated. It can be checked and/or ensured whether, at which times, in which chronological order and/or in what interdependence and/or with regard to which aspects the one or more communication messages and/or the at least one feedback is retrieved and/or the specifications are changed become.

• - die eine oder mehrere Vorgaben von einer oder mehreren ersten Personen verändert werden; und/oder
• - beim einer Anpassung eines oder mehrerer Entwürfe zu der Kommunikationsbotschaft; und/oder
• - bei der Auswahl einer oder mehreren Varianten der Kommunikationsbotschaft; und/oder
• - Abruf, insbesondere Wahrnehmung der Kommunikationsbotschaft durch die eine oder mehrere zweite Personen.

In particular, the method may include generating feedback depending on whether and/or how:

• - the one or more specifications are changed by one or more first persons; and or
• - when adapting one or more drafts to the communication message; and or
• - when choosing one or more variants of the communication message; and or
• - Retrieval, in particular perception of the communication message by one or more second persons.

For example, (e.g. exemplary aforementioned or other) dependencies and/or unilateral, mutual or reciprocal conditions between specifications, drafts, generation or adaptation of at least one communication message by means of identifiers or by means of so-called blockchain, blockchain technology or distributed ledger technology to get managed.

Alternatively or additionally, supporting the at least partially virtual communication can include or be virtual encounters, actions and/or interactions in a virtual space, in particular by means of a figure or avatar assigned to one or more (e.g. first and/or second) persons.

To the A7

According to a further embodiment, supporting the interpersonal communication includes arranging at least one communication between one or more first persons and one or more second persons. An at least provisional selection and/or at least provisional exclusion of the one or more first persons and/or one or more second persons can take place. This can take place, in particular with regard to one or more specific (e.g. desired, specified, expected) characteristics and/or specifications corresponding (e.g. possible, expected, predicted) communication.

The preliminary selection can include or be a preference for the person and/or a ranking of the person (e.g. increasing the ranking with regard to suitability for a communication, in particular for a specific communication or communication of a specific type). The provisional exclusion may include or be a deferral of the person and/or a ranking of the person (e.g. lowering the ranking with regard to suitability for a communication, in particular for a specific communication or communication of a specific type). This can e.g. refer to an ID of the specific person or person belonging to one or more persons.

In particular, supporting interpersonal communication can include preferring, in particular selecting, and/or preventing, in particular excluding, a parameter of the communication, in particular for two specified real people.

Arranging the communication can in particular include a selection and/or an exclusion of the one or more second persons (eg as potential communication partners for one or more first persons). In this case (in particular for the same time interval) the selection or Off conclusion of one or more first persons (for one or more second persons). In particular, arranging the communication is not limited to finding (generally or fundamentally) suitable partners or communication partners or to checking the availability of the persons for communication.

Rather, arranging the communication can relate to a specific time interval, context, situation, type of communication, a specific communication and/or depending on the (e.g. specified) time interval, type of communication, a specific communication, a determined or predicted context, situation, emotion of one or more first persons and/or one or more second persons. The respective parameters (e.g. relevant for the relevant time interval) and/or changes in the parameters can be taken into account. This can also take into account predictions in relation to one or more first persons and/or one or more second persons (e.g. for the near future, of a few seconds, minutes or hours). In doing so, e.g. reasons for one or two people that speak for and/or against the success of a communication and/or have not yet occurred (e.g. are predicted) can also be taken into account.

The communication can be arranged, e.g. for the transmission or mediation of certain content, communication messages or variants of communication messages according to certain (e.g. selectable) features, specifications, drafts. For example, a communication can be arranged on the basis of a specification from the one or more first persons and/or the specification from the one or more second persons. The communication can be arranged depending on parameters concerning the current time interval and/or a time interval lying in the near future.

• - Maß für das voraussichtliche Gelingen einer Kommunikation; und/oder
• - Maß für das voraussichtlich erreichbare Verständnis; und/oder
• - Maß für das voraussichtliche Erreichen einer (z.B. vorgegebenen oder ermittelten bestimmten Kriterien entsprechender) Wirkung und/oder eines (z.B. vorgegebenen oder ermittelten bestimmten Kriterien entsprechender) Ziels; und/oder
• - Maß für ein Missverständnis, Ablehnung und/oder Streit.

Derartige Maße können Wahrscheinlichkeitsmaße umfassen oder sein.Arranging a communication can include a recommendation for a unilateral, bilateral and/or multilateral communication, in particular as (respectively, unilaterally or mutually) recommended first persons and/or second persons. One or more predictions (related to a current and/or specific time interval) can be carried out and taken into account. The prediction can concern, for example:

• - measure of the probable success of a communication; and or
• - measure of the likely achievable understanding; and or
• - Measure of the probable achievement of an effect (e.g. given or determined corresponding to certain criteria) and/or a goal (e.g. given or determined corresponding to certain criteria); and or
• - Measure of a misunderstanding, rejection and/or dispute.

Such measures can include or be probability measures.

For example, the individuals may be selected (e.g., as a suggestion) and/or excluded based on a predicted measure of the likelihood of achieving a (e.g., specific, specifiable) goal of the communication, the impact on the individual, and/or the individual's response.

When arranging the communication or as a result of arranging the communication, information (e.g. list, graphic, table) identifying one or more specific first persons and/or one or more second persons can be generated. Thereby, an arranging of the communication depending on the prediction concerning different combinations of (e.g. first and/or second) persons can be carried out.

For example, communication corresponding to one or more specific characteristics can be arranged. The features can be, for example, topic, style, type, goal, one or more patterns and/or parameter value ranges of the communication. For example, the features of the communication to be arranged, in particular by the one or more first persons and/or one or more second persons, can be selected and/or adjusted and/or changed in particular dynamically and/or in the course of the communication. For example, one or more further parameters of at least one communication message can be determined or adapted to the change in the one or more desired features of the communication in such a way that the (eg desired or changed) features of the communication are aimed for or maintained. For example, if at least one (e.g. first and/or second) person makes an entry (e.g. not visible to other people) a specific feature of the communication (e.g. regarding topic, style, type, goal, of communication), in particular to change or want to change in the course of communication, this can be taken into account.

The at least one communication can be arranged before and/or during the communication (e.g. in the course of the communication). Alternatively or additionally, a communication to take place at a later time interval may be arranged depending on one or more current time intervals and/or communications that took place at one or more earlier time intervals. For example, the communication can be arranged depending on the parameters of one or more previous communications, e.g., regarding a course and/or result of the previous communications. The one or more of the prior communications may be the communications involving the one or more first persons and/or the one or more second persons. For example, the earlier communication between a number of first persons that at least partly overlaps with the number of first persons of the current (also: currently to be arranged) communication and/or a number of first persons that at least partly overlaps with the number of first persons of the present (also: currently to be arranged) communication snows over. For example, one or more earlier communications may be communications that have already ended and/or are running in parallel. For example, the at least one neural network is trained as a function of parameters from one or more previous communications. This can be operated to arrange the one or more further communications.

A number of the first persons can be determined as a (e.g. initially possible, potential) sender, person responsible, signer of the communication message and/or a number of the second persons as a (e.g. initially possible, potential) recipient of the at least one communication message. This can take place depending on the first parameters and/or second parameters. This can be done as part of arranging communication. This can particularly preferably take place as a function of the first parameters and/or second parameters of the neural network that is trained and/or operated.

In particular, it is to be understood that a number of first persons are suggested to be the sender of a communication message or the persons in whose name the communication message is generated for one or more (particularly specific or belonging to specific groups of persons) second persons. In particular, it is to be understood that (in this context, in particular to the one or more determined first persons) a number of second persons is suggested to whom the at least one communication message is addressed (also to be understood: can or should be addressed). Alternatively or additionally, for a (e.g. narrowly defined) specification or a specific communication message (e.g. already specified by one or more first persons) one or more second persons can be determined in which one of the (e.g. specified by the one or more first persons) The effect or reaction corresponding to the target or target value can be achieved or (at least probably) will be achieved. For example, at least one communication message can be specified at least in part by one or more first persons, selected as one of the drafts generated in the method, or generated by adapting the draft.

In a simplified example, it may be a communication message involving a joke. Second persons (e.g. from a communication group, mailing list) can then be selected or excluded for whom the communication message (e.g. with their current or predicted second parameters) will achieve a specific effect or reaction. For example, the identifiers of the second persons are output (e.g. displayed or marked) to the one or more first persons who find the communication message (e.g. in their current moods, in their respective current contexts) at least probably funny, only partly funny or not funny become.

For example, the at least one neural network is trained and/or operated to determine one or more first persons who are assigned to the communication message to one or more (determined or yet to be determined) second persons as sender, author or person responsible. This can be done as a (e.g. automatically generated) suggestion, especially initially (e.g. before confirmation from one or more first persons). For example, a proposal to generate a communication message, in particular a specific communication message or a communication message having specific features, or a communication message according to a draft is output on the one or more of the first user devices.

• Beispielsweise wird das zumindest ein neuronales Netz trainiert und/oder betrieben, eine oder mehrere zweite Personen (als Empfänger bzw. Wahrnehmer) zu bestimmen an die zumindest eine Kommunikationsbotschaft von einer oder mehreren (z.B. bestimmten oder zu bestimmenden) ersten Personen erzeugt wird. Es kann eine bestimmte Kommunikationsbotschaft oder bestimmte Merkmale aufweisende Kommunikationsbotschaft bzw. Kommunikationsbotschaft gemäß einem (z.B. in der Vorgabe vorgegebenen bzw. gewählten) Entwurf sein. Dies kann, insbesondere vorerst (z.B. vor einer Bestätigung der einen oder mehrerer ersten Personen), als ein (z.B. automatisch generierter) Vorschlag erfolgen. Beispielsweise wird an dem einen oder mehreren der ersten Anwendergeräte ein Vorschlag ausgegeben, eine Kommunikationsbotschaft, insbesondere eine bestimmte oder bestimmte Merkmalen aufweisende Kommunikationsbotschaft bzw. Kommunikationsbotschaft gemäß eines (z.B. vorgegebenen oder erzeugten) Entwurfs, an die eine oder mehrere der zweiten Personen zu erzeugen.

Alternatively or additionally, the method includes one or more of the following examples:

• For example, the at least one neural network is trained and/or operated to determine one or more second persons (as recipients or perceivers) to whom at least one communication message is generated by one or more (e.g. determined or to be determined) first persons. It can be a specific communication message or a communication message having specific features or a communication message according to a design (eg specified or selected in the specification). This can, in particular initially (eg before a confirmation from one or more first persons), take place as a (eg automatically generated) suggestion. For example, a suggestion is output on the one or more of the first user devices to generate a communication message, in particular a communication message having specific or specific features or a communication message according to a (e.g. specified or created) draft, to the one or more of the second persons.

For example, one or more of the first persons and/or one or more of the second persons can be determined in such a way that a specific communication message, a communication message that has one or more specific characteristics or a communication message according to a (e.g. predefined or generated ) Draft, achieves or stimulates an effect or reaction (with the respective second person, e.g. in their current context) that (as far as possible) corresponds to the goal or the target value.

For example, depending on the second parameters and/or on the first parameters or on the at least one neural network trained and/or operated with the first parameters and/or the second parameters (e.g. in advance or provisionally), a combination of one or more Persons (e.g. selection and/or assignment of persons as first persons or second persons) are determined or adapted for whom communication is prepared, in particular supported or arranged. This can be a communication that will (at least presumably and/or according to the prediction) lead to a (e.g. specific, desired and/or predetermined) effect or reaction. This can be done with or by means of a specific (e.g. specified) communication message, a communication message which has specific (e.g. specified) characteristics and/or is based on a specific (e.g. specified or selected) design or is dependent on a specification or according to a specification is generated.

For example, it can be determined, in particular predicted, that the first persons will be tempted to communicate with the one or more (e.g. specific or still to be selected) second persons (at least probably or according to prediction) and/or as a measure of the success of the communications is expected to be. One or more communications can be proposed or arranged (e.g. within a communication group or below the number of first persons and second persons). An identifier for one or more (e.g. at least potential, promising, preselected or selected) first persons and/or an identifier for one or more (e.g. at least potential, promising, preselected or selected) first persons can also be assigned to the (e.g. determined or adapted) parameters of the communication message are counted.

It can be a selection of first persons and/or second persons, suggestion for communication, prediction of a measure of the success and/or the result of the communication, creation of the draft of the communication message (with or without specification) or adaptation of the communication message depending on (e.g. long-term valid) properties of the first and/or second person (e.g. of properties, characters, habits) and/or depending on respective current (e.g. in a short time interval) valid (first and/or second) parameters.

For example, the one or more parameters of the communication message can include identifiers of one or more first persons and/or one or more second persons to whom the communication message relates or which play a role in generating or perceiving the communication message. This can be done by selecting, excluding, recommending communication partners or arranging communications. As already discussed, a selection, exclusion, recommendation of communication partners or arrangement of communications can take place (e.g. also when at least one other parameter or content of the communication message is specified), e.g. in such a way that a certain effect is achieved or a reaction is stimulated.

The communication can be arranged in particular depending on one or more specifications and/or feedback from the past.

For example, depending on one or more changes to the one or more specifications or new specifications (e.g. in the course of the communication), one or more further first persons and/or one or more second persons (e.g. as recommended further participants in the communication) as recommended participants) selected and/or excluded.

In a further example that can be combined with all of the features described in the present document, at least two specifications for supporting the communication of at least two first persons or of at least one first person and one or more second persons are taken into account. In this case, the communication can be supported at least primarily as a function of a merging, combining and/or integrating of the specifications mentioned.

For example, a merging, combining and/or integrating can take place according to a weighting and/or synthesis of the information from specifications. The one or more specifications can be entered using different means, e.g. as voice input, body language, text input, etc., and/or can be entered or determined depending on voice input, body language, text input, etc.

• - gemeinsamen, insbesondere sinngemäß gemeinsamen Teilen (z.B. Abschnitte und/oder Inhalte), Formen und/oder Muster aus mehreren Vorgaben; und/oder
• - unterschiedlichen, insbesondere sinngemäß unterschiedlichen Teilen (z.B. Abschnitte und/oder Inhalte), Formen und/oder Muster aus mehreren Vorgaben;

In particular, the method includes recognizing and/or taking into account:

• - common, in particular mutatis mutandis common parts (e.g. sections and/or content), forms and/or patterns from several specifications; and or
• - Different parts (e.g. sections and/or content), shapes and/or patterns from several specifications, in particular parts that differ in terms of meaning;

The communication can be supported depending (e.g. in a predetermined dependency) on the recognized information. For example, when generating and/or adjusting the at least one communication message that is dependent on a number of specifications. This means in particular a communication message that is triggered depending on several specifications.

• - ein erkanntes und/oder prädiziertes Ziel, insbesondere Zielwert der Kommunikation; und/oder
• - ein vorgeschlagenes Ziel, insbesondere Zielwert der Kommunikation; und/oder
• - eine anzustrebende Wirkung auf zumindest eine zweite Person und/oder eine anzustrebende Reaktion zumindest einer zweiten Person, insbesondere als Zielwert der Wirkung bzw. der Reaktion.

Dies kann insbesondere abhängig von der Ausführung einer zumindest teilweise simulierten Kommunikation, insbesondere abhängig von den bei der Ausführung der zumindest teilweise simulierten Kommunikation ermittelter Informationen erfolgen. Beispielsweise kann ein Parameter der Kommunikation, Kommunikationsbotschaft, ein passendes Ziel, Zielwert, etc. für die Kommunikation insbesondere unter Berücksichtigung des aktuellen bzw. prädizierten ersten Parameter und/oder der zweiten Parameter, ermittelt bzw. angepasst werden.According to a further embodiment, a parameter is determined which is characteristic of:

• - a recognized and/or predicted goal, in particular the target value of the communication; and or
• - a proposed goal, in particular target value of the communication; and or
• - a desired effect on at least one second person and/or a desired reaction of at least one second person, in particular as a target value of the effect or the reaction.

This can take place in particular as a function of the execution of an at least partially simulated communication, in particular as a function of the information determined during the execution of the at least partially simulated communication. For example, a parameter of the communication, communication message, a suitable goal, target value, etc. for the communication can be determined or adjusted, in particular taking into account the current or predicted first parameter and/or the second parameter.

Alternatively or additionally, this can take place depending on one or more first specifications of the one or more first persons for a communication message and/or one or more parameters relating to at least one first person.

The at least one determined parameter can be taken into account (e.g. thereupon and/or in the further course of the method or when the method is carried out further in the future).

In particular, one or more (first or second) defaults can be provided to one or more (respective) personality models or read in by them.

For example, a recognized goal can be striven for, in particular achieved, in the further support of the communication (eg according to a recognized target value). For example, a goal of the communication of the one or more first persons will be identified and taken into account. As an alternative or in addition, a goal, in particular a target value, can be proposed for the communication (eg depending on the evaluation of the specifications and/or other parameters). In particular, one or more suggestions for a goal, in particular a target value, relating to one or more features of the communication are determined. For example, the at least one neural network is trained and/or operated to determine a plurality of parameters characterizing goals, in particular target values, for a communication. The suggested destination may differ from the detected destination. For example, the proposed destination can identify a change in the recognized destination, in particular identifying a measure of the difference between a recognized or predicted destination and a recommended destination.

In one example, it can be goals or target values of the communication of the one or more first persons that (e.g. depending on the one or more specifications and/or corresponding first parameters) are recognized, in particular predicted.

In a further (combinable) example, it can be goals or target values of the communication that are suggested (e.g. depending on the one or more specifications of the one or more first persons and/or one or more second parameters). They can be goals that serve or are conducive to another overarching goal.

At least one neural network can be trained to determine goals (also: parameters of the goals) that are accepted by the people (e.g. by the people involved, taking into account contexts, situations, other first parameters and/or second parameters) and/or or are and/or can be reached as easily as possible.

Alternatively or additionally, a desired effect on at least a second person and/or a desired reaction of at least one second person can be determined and/or taken into account (e.g. in the further course of the method), in particular as a target value of the effect or reaction. For example, it can be the effect or reaction that (e.g. in the present case) is above average, in particular particularly effective, and/or benefits the recognized and/or recommended goal of communication.

The identified goal and/or predicted goal, the desired effect and/or reaction can be output (e.g. to the respective one or more first persons) and/or taken into account in the further course of the method.

For example (e.g. subsequently) support information and/or feedback and/or report information generated by the one or more determined goals (or parameters of the goals) can be sent to the one or more of the first persons. The at least one piece of support information may be or may include advisory information for the one or more first persons. The at least one item of support information can be information that differs from the communication message to the one or more second persons. Rather, this may include or be one or more recommendations, instructions and/or strategies regarding (e.g. planned and/or taking place) communication with the one or more second persons.

The goals can be taken into account depending on the reaction of one or more of the first persons to the support information, in particular in the event of a lack of rejection or change, acceptance, change and/or rejection of the goal, in particular of the goal value.

Alternatively or additionally, depending on the one or more specifications of the one or more first persons, an effect on at least one second person and/or a desired reaction of at least one second person can be identified and/or recognized in particular as a target value of the effect or reaction be suggested.

For example, a parameter (e.g. as information in any form) can be derived from the one or more specifications (e.g. depending on the evaluation of the one or more specifications), which indicates which (e.g. probable) goal the communication (e.g. already) has or (e.g. expediently) can have, in particular a target value to be aimed for when supporting communication. For example, depending on one or more sections of the communication and/or a previous communication, it can be concluded that the communication has one or more goals such as family, flirting, hobbies, entertainment, philosophy, science, consumption, negotiation and/or business interests , etc. relates to or corresponds to these. Such a conclusion can be taken into account in a further course of the method or in a later execution of the method.

Alternatively or additionally, it can be recognized (eg already in advance, in particular depending on the one or more specifications of the one or more first persons) which effect or reaction is or can be sought. Thereupon, for example, one or more goals or target values (eg recognized as being desired or achievable) can be determined and/or used. For example, the one or more parameters of the at least one communication message can be determined or adjusted depending on the parameter of the goal, effect and/or reaction.

In doing so, (e.g. as a result) the one or more first persons can also refer to an at least partially beyond the information contained in the specification and/or beyond a factual aspect (e.g. probable). (e.g. probable) desired effect and/or response are taken into account. The at least one neural network can be trained and/or operated by the one or more first persons (consciously or unconsciously aimed at), effects on the one or more second persons and/or desired reactions of the one or more second persons, in particular as respective target values, and/or to carry out the support in order to meet them as far as possible. This can be done with or without explicit knowledge or determination of the goals, effects and/or reactions.

For example, the at least one neural network may be trained depending on the response of the one or more first persons to an outcome of the communication (e.g., one or more portions of the communication or the communication as a whole). Depending on the reaction, feedback for training the at least one neural network can be determined. For example, it can be rewarded if the one or more first persons were satisfied with the result of the communication sections or with the communication as a whole and/or punished if the one or more first persons were satisfied with the result of the communication sections or with were not satisfied with the overall communication. In this case, an explicit determination of the wishes of the one or more first persons can be skipped, so to speak.

An improved achievement of the known (e.g. specified, explicitly or implicitly determined and/or aware of the one or more first persons) and/or of not explicitly known (e.g. unknown, not ascertainable and/or the one or more first persons self-unconscious) goals, effects and/or reactions are carried out.

In an example of the method, information identifying what is known as a secondary gain (e.g. known from psychology) is determined and/or taken into account. For example, a goal, effect and/or reaction can be identified and/or suggested in such a way that a possible secondary benefit of the one or more first persons is also taken into account. For example, at least one neural network can be trained and/or operated, one or more goals (e.g. consciously or unconsciously aimed for) by the one or more first persons, desired effects on the one or more second persons or reactions in one or to recognize, predict and/or (e.g. at least partially directly and/or at least partially indirectly) take into account several second persons.

According to a further embodiment, an effect of a communication message on a second person is determined and/or predicted; and/or determines and/or predicts a reaction of a second person to the communication message; Alternatively or additionally, in particular as a result, the communication is supported in such a way that an effect or reaction corresponding to a target value is sought, in particular achieved.

For example, the effect of the communication message and/or reaction to the communication message (in advance) in a simulated communication (e.g. based on several variants of the parameters of the communication and/or with several variants of the communication message) is determined. The communication can then be supported, in particular depending on the determined effect or reaction (e.g. based on the simulated effect or reaction of the second personality model or the second avatar).

Alternatively or additionally, this can take place depending on one or more specifications for a communication message, drafts and/or variants of communication messages; and/or depending on an identifier of the one or more first persons and one or more second persons as participants in a communication, in particular as a sender, client and/or recipient of at least one communication message.

According to a further embodiment, feedback is generated indicative of one or more determined and/or predicted effects of at least one section of the communication on one or more second persons and/or reactions of one or more second persons to a section of the communication, to one or more communication messages or to a communication message that would result according to a specification of the one or more first persons. The feedback may be provided to support the communication (eg, another portion of the communication or another communication).

In particular, the feedback is generated for the one or more first persons (and possibly output to them) and/or taken into account when outputting to the one or more first persons). In particular, the feedback can be generated based on the one or more specifications, drafts of the one or more first persons and/or (e.g. on a proposed and/or selected by the one or more first persons) variant of the at least one communication message.

• - eine Information über die Anpassung der Kommunikationsbotschaft (z.B. welche Parameter angepasst wurden bzw. angepasst werden müssen); und/oder
• - Unterschied der resultierenden Kommunikationsbotschaft zu einer oder mehreren Vorgaben (z.B. zu der Vorgabe der jeweiligen ersten Person und/oder zu einer oder mehreren Vorgaben einer oder mehreren weiteren ersten Personen); und/oder
• - eine Anfrage eines Einverständnisses mit dem Anpassen (z.B. betreffend eine oder mehrere Anpassungen bestimmte Anpassungen oder Anpassungen bestimmter Parameter bzw. Arten); und/oder
• - eine Möglichkeit zumindest eine Vorgabe, insbesondere die jeweilige (z.B. von der jeweiligen Person stammende) Vorgabe anzupassen; und/oder
• - eine Möglichkeit zum Protest und/oder Widerruf der Vorgabe bzw. der Beteiligung an der Kommunikationsbotschaft.

For example, the feedback may include or be indicative of

• - Information about the adjustment of the communication message (e.g. which parameters have been adjusted or must be adjusted); and or
• - Difference of the resulting communication message to one or more defaults (eg to the default of the respective first person and/or to one or more defaults of one or more other first persons); and or
• - a request for consent to customization (e.g. regarding one or more customizations of specific customizations or customizations of certain parameters or types); and or
• - a possibility of adapting at least one default, in particular the respective default (eg originating from the respective person); and or
• - an opportunity to protest and/or revoke the specification or participation in the communication message.

In a further example that can be combined with all of the characteristics, the feedback can relate to the communication behavior of the one or more (respective) first person.

It can relate to a communication behavior in the context of the (e.g. specified or recognized) type of communication, a specific communication, a determined or predicted context, situation, emotion of the one or more first persons and/or one or more second persons and/ or mark a recommended communication behavior or a recommended difference to the identified communication behavior. For example, the feedback can indicate that and/or how a communication behavior of the one or more (respective) people can be changed in relation to a context, situation of the one or more second people.

In particular, the feedback relates to one of several communication partners of the one or more first persons (e.g. specific communication partner, one or more specific recipients of a communication message). Alternatively or additionally, different feedbacks can be generated for several first persons (e.g. in the same multilateral communication). For example, the respective feedback can be specific to the respective sender or customer of a communication message and/or specific to the respective recipient of the at least one communication message.

For example, the feedback can be generated depending on whether one or more specific criteria apply. The one or more criteria can relate, for example, to a limit value, a range of values, a deviation from a (respective) target value, a predicted value, and/or a statistical value for parameters of the effect or reaction.

For example, the feedback can depend on a difference (e.g. deviation, factor) from a (each) previously predicted parameter value range for one or more second persons and/or deviation of the parameters of the effect and/or reaction, e.g. of individual second persons (e.g. in comparison to a statistical value, especially within the group of two people) are generated. The feedback can characterize the extent of the difference, in particular represent it graphically, acoustically, etc.

In other words, e.g. on the specification of one or more first persons, on one or more drafts created by one or more first persons and/or on a variant of at least one communication message, feedback (e.g. only or primarily then) can be generated if a specified, recognized and/or proposed goal of the communication, effect of the (then resulting) communication message and/or reaction of the communication message to the one or more second persons cannot be reached, will probably not be achieved or if there is a certain difference to that to achieved or predicted parameter has resulted or is likely to result.

The feedback can be generated, in particular output, at least primarily or essentially with regard to effects and/or reactions that meet a specific criterion. The term "priority" is also to be understood in particular in such a way that if a criterion applies, e.g. particularly extensive, detailed feedback is generated or issued.

Alternatively or additionally, the feedback can, for example, only or primarily in the case of desired and/or conspicuous (e.g. statistically and/or conspicuous in comparison to adjustable values, standard values, typical values, average values), undesired and/or unexpected parameters (e.g. concerning predicted effect and/or reaction) are generated or output. For example, the feedback can include or be second persons (e.g. avatars of the second persons) from whom a noticeable, undesired effect or reaction is to be expected.

According to a further embodiment, one or more first parameters relating to one or more first persons are determined and/or processed as a function of one or more second parameters relating to one or more second persons; and/or determines and/or processes one or more second parameters relating to one or more second persons depending on one or more first parameters relating to one or more first persons.

In particular, the first personality model can also be set up (e.g. trained and/or configured) and/or controlled during operation (e.g. during the execution of the communication or the simulated communication) depending on the second data of one or more second persons.

For example, when determining and/or processing the parameters relating to a (e.g. first and/or second) person, the parameters of the respective communication partner can be changed depending on parameters, in particular a processing (e.g. evaluation or analysis) of the parameters of one or more communication partners of the person (e.g. the second or the first person), in particular communication partners with whom communication is particularly active, are determined and/or processed.

For example, the selection and/or processing of the first parameters relating to a first person and/or a second person (e.g. as a selection of parameters of different types and/or parameters from specific or different time intervals), and/or one or more database queries and /or search engine queries to determine the parameters relating to the person are determined and/or executed depending on the evaluation of the parameters of one or more of the person's communication partners (e.g. one or more second persons or one or more first persons).

• der ein oder mehrere Parameter einer ersten Situation und/oder ein oder mehrere Parameter einer zweiten Situation berücksichtigt.

In a further example that can be combined with all of the features described in the present document, one or more parameters of a first situation of the at least one first person (P1, P1′, P1″) can be determined and/or predicted; and or
one or more parameters of a second situation of the at least one second person (P2, P2', P2'') are determined and/or predicted as a function of one or more second parameters relating to at least one second person (P2, P2', P2''). ;
and then:

• which takes into account one or more parameters of a first situation and/or one or more parameters of a second situation.

In other words, determining and/or predicting one or more first situations of the one or more first persons, and/or determining and/or predicting one or more first situations of the one or more first persons. This can be done depending on the first parameters or the second parameters, for example. Alternatively or additionally, the at least one parameter of the (first and/or second) situation of the first person or second person itself can be used as a first parameter or second parameter.

The situation can be a communication situation, an interpersonal situation, a personal situation and/or a situation caused or influenced by the person's role (e.g. in the present communication). It can be or include a situation relating to the relationship of the respective person to one or more other persons or a relationship situation.

Alternatively, the one or more first parameters relating to at least one first person can (already) characterize a parameter of a first situation of the one or more (e.g. respective) first persons or the one or more second parameters relating to at least one second person (already) characterize a parameter a second situation of the one or more (e.g. respective) second persons. In this case, too, the further respective first parameters or second parameters (described in the present document) can be processed together with the parameters characterizing the respective situation.

• - mittels eines oder mehreren ersten Persönlichkeitsmodelle die einen (jeweiligen) ersten Zustand und/oder eine ersten Zustandsveränderung und/oder eine Reaktion der einen oder mehreren (jeweiligen) ersten Personen simulieren; und/oder
• - mittels eines oder mehreren zweiten Persönlichkeitsmodelle die einen (jeweiligen) zweiten Zustand und/oder eine zweite Zustandsveränderung und/oder eine Reaktion der einen oder mehreren (jeweiligen) zweiten Personen.

According to a further embodiment, the communication is supported:

• - by means of one or more first personality models, which simulate a (respective) first state and/or a first change in state and/or a reaction of the one or more (respective) first persons; and or
• - by means of one or more second personality models, the one (respective) second state and/or a second state change and/or a reaction of the one or more (respective) second persons.

The condition and/or change of condition is, for example, a physiological, emotional, mental, psychological condition or change of condition. In particular, the condition may refer to one or more (e.g., dynamically and/or cyclically variable) physical or physiological condition and/or a corresponding physiological, emotional, mental, psychological condition or condition change.

For example, the at least one (e.g. first and/or second) personality model can simulate a state and/or a first change in state and/or a reaction (e.g. to information) of the respective person (also to be understood in particular: simulate and/or predict). This can also be done if the actual condition, change of condition or reaction of the respective person is not known and cannot be measured.
Supporting the communication can (on the one hand) depend on one or more first parameters relating to at least one first person and/or one or more second parameters relating to at least one second person; and (on the other hand) executed dependent on the one or more first personality models and/or the one or more second personality models.

One or more items of information perceived during communication, in particular one or more at least partially real and/or at least partially virtual perceptions during communication, action, interaction, action (e.g. in an at least partially real and/or at least partially virtual space) as Input to operate the personality model can be used. The output of the personality model can result in the effect, reaction, condition and/or change in condition. This information can be used to predict the effect (e.g. of the at least one communication message) and/or reaction (e.g. to the at least one communication message) and/or to predict the at least one avatar of the (e.g. respective one assigned to the avatar), in particular in to operate in an at least partially real and/or at least partially virtual space.

The support can refer to one or more (e.g. described in the present document) aspects or variants of supporting the communication.

• - Arrangieren zumindest einer Kommunikation zwischen einer oder mehreren ersten Personen und einer oder mehreren zweiten Personen; und/oder
• - Unterstützen der einer oder mehreren ersten Personen beim Erzeugen einer Kommunikationsbotschaft an eine oder mehrere zweite Personen; und/oder
• - Erzeugen einer Unterstützungsinformation und/oder eines Feedbacks an die eine oder mehrere erste Personen.

For example, depending on one or more first personality models and/or one or more second personality models, the following can be carried out:

• - arranging at least one communication between one or more first persons and one or more second persons; and or
• - assisting the one or more first persons in generating a communication message to one or more second persons; and or
• - generating support information and/or feedback to the one or more first persons.

In this case, the support can be carried out dynamically and/or depending on a dynamic sequence of the personality model.

For example, the support can take place depending on the process of the at least one respective (first or second) personality model, in particular synchronized with one or more real (first and/or second) persons.

For example, one or more parameters relating to at least one first person and/or one or more second parameters relating to at least one second person can be parameters dependent on the personality model (e.g. on the status or status change of the respective personality model).

For example, the at least one first personality model can be or include a virtualization of the one or more respective first persons or a number of the first persons.

For example, the at least one second personality model can be or include a virtualization of the one or more respective second persons or a number of the second persons.

Such virtualization can also refer to one or more selected parts, characteristics, character, behavior, actions, etc. of the respective person. This does not have to be complete or precise. Rather, the at least one personality model can include or have one or more specific (e.g. selectable, adjustable) differences from the respective real person.

For example, the at least one (e.g., first and/or second) personality model may represent and/or inherit at least a portion of the communication and/or actions of the one or more respective individuals. This can be done, for example, at least temporarily (e.g. in the time intervals when the person concerned is not actively involved or does not want to be involved in the communication). For example, the at least one (e.g. first and/or second) personality model can represent the respective (e.g. first and/or second) persons in a virtual space at least partially (e.g. with regard to certain communication messages, actions, etc.) and/or at least temporarily.

Alternatively or additionally, the at least one first and/or second personality model can be used to predict (e.g. a further course of the communication, the achievement of one or more goals, target values of the communication, the result of at least one section of the communication).

For example, the corresponding states and/or state changes of a real person are simulated and/or predicted with the states and/or state changes of the at least one personality model. This can be done using a (e.g. computer-implemented personality model) that is set up, in particular trained, according to characteristics (of the first and/or second) person and/or depending on the parameters relating to the (first or second) person.

For example, states and/or state changes (e.g. state transitions) of a real (first and/or second) person are simulated (e.g. with a computer-implemented personality model). This can take place when arranging the communication, before the start of the communication, during the communication (also to be understood: accompanying the communication), and/or in relation to certain sections of the communication or corresponding time intervals.

For example, an effect of the at least one communication message and/or reaction to the communication message (which, for example, is output when the real person is in a certain state), in particular as a change in state or state transition (e.g. out of and/or into a certain state) of the respective personality be predicted.

For example, a first personality model is trained and/or operated with the first parameters, and/or a second personality model is trained and/or operated with the second parameters. The respective personality model (in a model or simplified) form can represent a (eg presumably correct) state and/or change in state of the (respective) person. For example, the draft of at least one communication message, a variant of the communication message, or the (e.g. more or less ready-to-issue or ready-to-send or already sent) communication message is provided by the personality model of the (respective) second person (e.g. as an input). .

For example, the at least one (e.g. first and/or second) personality model is controlled with the respective current and/or predicted (e.g. first and/or second) parameters. For example, the (first or second) personality model can be synchronized with respective, specific (first or second) persons (e.g. regarding the state and/or state change).

The personality model (as accurate as possible) can reproduce the current state or changes in the state of the respective person for one or more time intervals in the past, in the present. The respective personality model can be operated with the parameters characterizing one or more contexts, situations, perceptions (in particular also to be understood: controlled) and/or exposed to influences with which the respective person is and/or is likely to be confronted.

The personality model can be set up to simulate the condition of the person (e.g. a specific person or a person belonging to a group of people), the effect of communication messages or reactions to communication messages (e.g. greatly simplified, model).

Depending on the personality model, in particular on a dynamic sequence of the personality model, the desire of the first person or meaningfulness, in particular the necessity of initiating a communication message with specific parameters, can be determined, in particular predicted. Depending on this, the data for generating the at least one communication message can be determined.

Alternatively or additionally, at least part of the communication message is provided to a first personality model and/or second personality model synchronized with the state of the (respective) real person. In this way (e.g. in the dynamic process of the first and/or second personality model), parameters can be determined that characterize a change in state and/or state of the respective person that is then expected (as an output of the respective personality model, so to speak). In this case, data for supporting the communication, in particular one or more sections of the communication, can already be determined and/or taken into account comparatively early.

According to a further embodiment, the one or more first user devices are stationarily operated or operated and/or mostly, regularly or essentially by the one (specific) first person or a first person belonging to one or more first groups of people, eg from one or more (specific) first groups of people, used and/or worn user device or user devices, and/or a user account; and or
is: the one or more second user devices are stationarily operated or operated and/or mostly, regularly or essentially by the one (specific) second person or a second person belonging to one or more second groups of people, e.g. from one or several (specific) second groups of people, used and/or worn user device or user devices and/or a user account. By analogy, this can also include the use of the user account or user accounts of the respective (eg first or second) person or of the (eg also web-based) application corresponding to the respective user device.

In particular, the method includes determining a degree of similarity, e.g. a so-called matching, between the characteristics of the persons, e.g. personality profiles of the one or more first persons and the at least one second person or between the characteristics of the persons belonging to one or more first groups of persons and the one or more second groups of people. The determined degree of similarity or matching can be used, for example, to change or update the said mathematical relationship or to train and/or operate the at least one neural network and/or to determine or adjust the (second) parameter of the communication message ) become.

According to a further embodiment, a parameter of the communication message (for output on the at least one second user device or in at least one second living space) is dependent on one or more (first) parameters of a physical impulse, in particular the body language and/or a microexpression of one or determined or adapted by several first persons.

According to a further embodiment, a parameter of the communication message (for output on the at least one second user device or in at least one second living space) is dependent on one or more (second) parameters of a physical impulse, in particular the body language and/or a microexpression of the at least one second persons determined or adjusted.

The at least one communication message can be adjusted during its output to the at least one second person (e.g. approximately in real time) depending on the reaction of the second person, in particular on one or more (second) parameters of their physical agitation. For example, at least one of several variants of the communication message can be selected or a part of the same communication message can be adapted. In particular, depending on the reaction, in particular the physical agitation of the second person, a subsequent part of the same communication message and/or a further or subsequent communication message, in particular stimulated or influenced by the communication message, can be changed. In particular, it can be an interactive communication message comprising one or more instructions. The communication message or parts of it can be adapted in such a way that the target value for the effect or reaction is (if possible) nevertheless achieved or maintained. For example, there is the advantage that the communication message (in the form that is ultimately output) takes into account the parameters of the recipient's body language, which the sender does not have to or cannot see. Improved communication can thus be achieved.

• - von der Körpersprache der jeweiligen ersten Person und/oder der jeweiligen zweiten Person; und/oder

von einem bewussten oder unterbewussten Zustand der jeweiligen ersten Person und/oder der jeweiligen zweiten Person abhängig sein.For example, the communication message (e.g. for a respective second person, e.g. for one to be generated by several second persons):

• - from the body language of the respective first person and/or the respective second person; and or

be dependent on a conscious or subconscious state of the respective first person and/or the respective second person.

This can be one or more parameters of the body language that occurred with the respective first person in connection with said (first) communication or with the reaction to the media content. For example, the first parameters are determined in the course of the communication or as an ongoing, variable reaction to a portion of the communication and/or the media content. Parameters of one or more physical impulses can be determined which occur in the one or more first persons in connection with specific sections of the first communication or in response to specific sections and/or with the current context. It can (also) be body language or micro-expressions that are at least essentially not directed at the respective first user device, but, for example, at another first person. In particular, a communication message can be generated on the second user device or within the second living space depending on the one or more first parameters, which includes a physical emotion, body language, in particular a body language message, an emotional state or change in state (as a corresponding expression) of the one or more first persons.

The first parameters, e.g. parameters of the body language impulse, the body language and/or the emotion of the one or more first persons can be determined, e.g. by means of a number of corresponding first user devices. The one or more parameters can characterize a qualitative and/or quantitative measure of body language agitation, body language and/or emotion, etc., without including or having to include corresponding audio information (voice recording) or image information (photos, videos). .

This can be a parameter of the body language of one or more first persons involved in said first communication or the first person who perceives the media content (in the vicinity of the first user device or within the first living space). In this context, explicit or implicit information relating to conscious and/or unconscious intentions, emotions or states of the person can be received by the person in the course of communication or during perception of a certain section of media content (unconsciously or consciously) are taken into account in the procedure.

The one or more first parameters of the reaction of the at least one first person, in connection with the (first) communication and/or to a (first) media content, can be a parameter of physical agitation, in particular of a body language expression, of a state or change expressed in body language of the person's condition, a microexpression, a communication message (expressed or supported by body language), etc. In other words, the one or more reactions of the one or more first persons in connection with a communication and/or media content can be a body language reaction, in particular a change in the body language expression, a body language, with facial expressions, gestures, poses , Microexpression expressed state or change of state of the person act. The reaction of the at least one person can also be a verbal and/or body language communication message emanating from the at least one (first) person, which in connection with said first communication, e.g. in an interaction with another first person, e.g. within the same environment or the first living space and/or on or in connection with the delivery or perception of said media content, e.g. upon perception of one or more specific sections of the communication or media content. According to an optional embodiment, the one or more parameters of the communication message (also or at the same time) are determined or adjusted.

For example, one or more parameters of the at least one communication message (e.g. only or mainly) depending on the one or more (first or second) parameters of a (first or second) media content in the environment of the (first or second) user device, the one or more parameters of the at least one (first or second) person's response to the media content, and/or the one or more (first or second) parameters of one or more (first or second) communications in the environment of the first user device, determined or adjusted, wherein the one or more of said (first or second) parameters relate, in particular only or predominantly, to one or more time intervals in the past.

It can be a specific time interval or a time interval selected according to specific criteria. For example, this can be selected based on specific events, parameter patterns, contexts, scenes, content, recognition of specific patterns in the respective environment of the one or more first user devices. The time interval can be entirely or at least partially, preferably predominantly, in the past. For example, such a time interval may be about a few seconds to a few minutes or a few hours in the past. Such a time interval can also correspond to a time of day, in particular a time interval of one or more past days, in particular to a correspondingly identical day of the week. The one or more parameters of the communication message can depend on the data based on multiple parameter values of the one or more first parameters of the media content in the first living space, depending on the data based on the one or more parameters of the reaction of the at least one person to the media content in the first living space, and/or are determined or adjusted depending on the data of the one or more first parameters of a communication, which e.g. related to such a time interval. In particular, a comparison, in particular a processing, aggregation or analysis, of a large number of the first parameters or parameter sets which relate to several first user devices, first people, first living spaces, e.g. from one or more time intervals from the past, can be carried out.

Depending on previous effects on the one or more second persons and/or reactions of the one or more second persons to (e.g. a large number) of previous communications (which may be independent of the current communication message), a communication message, in particular the draft of the Communication message (which is initially issued to the one or more first persons) are adjusted. The at least one neural network is preferably trained as a function of the first and/or second parameters which relate to one or more time intervals from the past. For example, the draft of the communication message can already take into account a (probable) reaction of the one or more (specific) second persons.

In particular, the communication message can be sent to the second user device at least partially, in particular essentially, almost in real time, depending on a (roughly at the same, current time in tervall taking place) change of one or more first parameters of a media content, a first parameter of a communication, on the one hand and / or one or more first parameters of a media content, a first parameter of a communication from the past, e.g. of one or more aggregated or cumulated Parameter values from one or more time intervals in the past, on the other hand, are generated. The at least one neural network is preferably trained as a function of a large number of parameter sets made up of first parameters and/or second parameters and (as part of the operation of the neural network) operated by the current first parameters and/or second parameters or those predicted for the near future .

Different types of parameters can be selected and/or used as one or more current (first or second) parameters and one (first or second) parameter from one or more time intervals from the past. For example, the first parameter or second parameter can be different types (e.g. described in this document). The corresponding data sections (based on the first parameters or second parameters) can be selected according to different criteria and/or processed or taken into account according to different regulations, formulas or coefficients (e.g. the mathematical relationship). In particular, a parameter of the communication message can be at least partially, in particular essentially, almost in real time, depending on one or more first parameters of a first media content, a first reaction of the one or more first persons to the media content and/or one or more first parameters of a first Communication are determined or adjusted, in particular without directly or indirectly reproducing the corresponding first contents of these sections. One or more of the corresponding or other first parameters, e.g. one or more of the aggregated or cumulative first parameters (values) from one or more time intervals in the past (e.g. according to another regulation) can be taken into account. One or more items of information on the (corresponding), e.g. aggregated or cumulative parameter (values) on the said parameters from one or more time intervals from the past can be taken into account.

One or more parameters can be at least part of the communication message or a communication message stimulated or influenced by the communication message (alternatively or in addition to the adjustment depending on parameters from earlier time intervals) depending on a (current or ongoing) effect or reaction to a (previously perceived) part of the communication message can be determined or adjusted.

In a further example, the at least one neural network can be trained and/or operated a parameter of the communication message (at the second user device or within the second living space) depending on a parameter characterizing media content (or a section of the media content) at the second User device or in the second living space and/or one or more first parameters of the reaction of the one or more first persons to (substantially) the same media content (or the same section of the media content) to be determined or adapted. For example, in order to train the at least one neural network, the first parameters can be processed by at least two, preferably a large number of, different people. The parameters of the reactions can refer to the same, similar sections or patterns of communication, the multimedia content or sections with the same or similar (e.g. objectified) effectiveness in a comparison. At least one parameter for operating the personality model or avatar can be taken into account depending on the result of the comparison.

According to a further embodiment, a first scene is detected, in particular recognized, e.g. identifying a relevant context, in the vicinity of the one or more first user devices, a first parameter of the emotion, a first parameter of the intention of the one or more first persons, and/or or a parameter characterizing the affiliation of the one or more first persons to one or more specific groups of persons, and/or detecting, in particular recognizing a second scene, a second parameter of the emotion, a second parameter of the intention, and/or a parameter characterizing the Affiliation of the at least one second person to one or more specific groups of people. The information ascertained can then be taken into account in the method. For example, these are used to change or control the aforesaid mathematical relationship for training and/or operating the at least one neural network. The one or more parameters of the at least one communication message for output to a second user device are preferably determined or adapted (directly or indirectly) as a function of the information ascertained.

For example, the detection, in particular recognition of a first scene in the vicinity of the one or more first user devices (e.g. within the one or more first living spaces) and/or a second scene in the vicinity of the second user device (e.g. within the second living space) takes place. A first parameter of the first scene and/or a second parameter of the second scene can then be processed (eg comparison, aggregation, etc.). At least one parameter of the at least one communication message is preferably determined or adjusted depending on a detected, in particular detection of one or more first scenes in the vicinity of the one or more first user devices and/or within the one or more first living spaces. A scene in the environment of the one (first or second) user device means in particular a scene (or context) surrounding and/or relating to the at least one first person.

The surroundings of the first user device preferably relate to the (first) stationary living space in which the first user device is operated. The environment (or correspondingly the scene) preferably relates to the second user device or the (second) stationary living space in which the second user device is operated.

In the method, at least one parameter of a scene in the vicinity of the first user device (e.g. in the first living space) and/or a parameter of the scene in the vicinity of the second user device (e.g. in the second living space) can be detected and processed. The scene can correspond to a context in the environment of the respective user device or can include information about the context. This scene can characterize a context of the one or more first persons, in particular the context of the one or more first persons reacting in connection with the communication or with the media content. A parameter of the scene can identify one or more features of the context (e.g. in the environment), in particular. At least a first or second parameter of the first or second scene can be used when determining or adjusting the parameter of a communication message (on the second user device or within the second living space), in particular in accordance with a dependency, rule, logic, stored in the mathematical context, parameters, are taken into account.

For example, one or more parameters of the (first or second) scene are taken into account when predicting the effect of the communication message on the one or more (respective) second person or the reaction of the one or more (respective) second person. For example, the at least one neural network is trained and/or operated depending on the (first or second) parameters of the (first or second) scene.

The (first or second) scene can be an arrangement of the people in the vicinity of the respective (first or second) user device or within the respective (first or second) living space, in particular an arrangement of the people relative to one another, one of one or more People carried out action, activity, and / or an interaction between at least two people are understood. The one or more parameters of the scene are in particular characteristic of what is happening in the vicinity of the user device or within the living space, e.g. current positions, occupation, actions of at least one person, interaction between two or more people in the vicinity or within the living space. For example, one or more parameters of the scene are processed in the form of (e.g. intrinsically value-free, neutral) codes. In particular, a parameter of the (first or second) scene does not include any photorealistic images or recorded sounds. A parameter of the scene can preferably correspond to an identifier of the scene, e.g. to a pattern recognized in the scene. The corresponding parameter or parameters characterizing the scene can therefore be expressed very compactly. For this purpose, reference is also made to the corresponding features in the example description.

The first scene (in the vicinity of the first user device or in the first living space) is preferably a scene that occurs before, during or shortly after the output of the media content, in particular the section of the media content and/or the (first ) Communication and/or the scene preceding the output of the media content or the communication (in the vicinity of the first user device or in the first living space). The second scene (in the vicinity of the first user device or in the second living space) is preferably a scene that prevailed during the output of the communication message (on the second user device or in the second living space) and/or the generation of the Scene preceding the communication message.

In the method, the one or more first parameters of the one or more first scenes and a second parameter of the second scene can be compared (e.g. processing, aggregation, learning process) subjected and a result of the comparison in the procedure are taken into account. The first parameters of the first scenes preferably correspond to the time intervals to which the other first parameters, in particular parameters of the communication, multimedia content or the corresponding reactions of (each) at least one first person, relate. For example, the parameter of the communication message can be determined or adjusted or the said mathematical relationship can be changed or the at least one neural network can be trained and/or operated depending on the result of the comparison.

In particular, an influence of (certain) first parameters on the one or more parameters of the communication message can be increased if an increased similarity between the second scene and the one or more first scenes is determined or ascertained. For example, a second scene that is the same or (sufficiently) similar to one or more first scenes can be recognized and the result of the recognition taken into account in the method. For example, one or more of the first parameters are selected, which characterize e.g. reactions of the one or more first persons with different first parameters of the respective first context or scene, state, state change, emotion, intention of a first person. For example, from a large number of the first parameters, those are selected, excluded and/or provided with a higher or lower priority or influence, which are used to determine or adapt the one or more second parameters of the communication message, in particular for a determined second parameter of the context or Identify scene, state, state change, emotion, intention of a second person. Such priorities or influences of certain first parameters on certain second parameters can be stored in the mathematical context, in particular through the configuration and/or training of the mathematical context.

Alternatively or additionally, a first scene (e.g. a specific scene in the vicinity of one or more first user devices) and /or a repeated occurrence of the second scene (e.g. a specific scene in the vicinity of one or more second user devices) can be detected and (the result of the detection) taken into account. The detection of similar scenes or the recognition of scenes can be carried out by comparing the parameters of the scene, in particular patterns from one or more parameters of the scene. A degree of similarity can be determined and compared with one or more threshold values. A repeatedly occurring scene can, for example, be a sufficiently similar scene (also to be understood in particular: a scene that is repeated in a similar form or according to the same pattern). For example, at least one piece of first information can be sent to one or more corresponding first user devices within corresponding first living spaces or for one or more first persons, and/or the determination or adjustment of the parameters of the at least one communication message sent to a second user device within a first living space , or is generated for a second person, depending on information about the recorded, in particular recognized, first scene and/or a second scene.

According to an optional embodiment, the method can include: Recognizing a (first) emotion and/or (first) intention of one or more first persons. The one or more of the identified first emotions or intentions can be taken into account in the method. The one or more of the second parameters of the communication message can be determined or adjusted depending on the one or more recognized first emotions and/or intentions of the one or more first persons. In particular, the emotion and/or intention of the at least one person can preferably (also) be determined depending on the one or more parameters of the first communication (one or more first persons, e.g. in the first living space). The emotion and/or intention of the at least one person can (also) be measured using various methods, e.g. depending on their physical agitation or body language, with a sensor that can be worn on the body or is at least partially connected to the body (e.g. smart watch, smart Closes) can be determined with at least one sensor connected to a corresponding user device or a device set up for this purpose. The identified information can be used to train and/or operate the neural network.

For example, a communication message can be generated (also: made perceptible) on the second user device (preferably by means of the at least one appropriately trained and/or operated neural network), e.g. in a second living space opposite a second person, or a personality model or avatar can be operated whose actions, interactions, behavior depend on an emotion and/or intention of one or more (other) first persons by means of the one or more (other) first user devices, eg in one or more first living spaces. A (specific, appropriate) influence of certain parameters and/or an effect to be achieved (e.g. as an emotional effect, interaction, resonance between the people or a certain effect, a change in the person's opinion, further communication (e.g. according to a characteristic or parameter corresponding to a target value) and/or action (e.g. by the person).

In the process, an objective technical effect can be realized that is similar to a telepathic connection in terms of its properties or technically imitates or imitates one (for the perception of the people). In particular, optionally, e.g. only or predominantly a content parameter, a linguistic or stylistic parameter, and/or a parameter of an emotion or intention in the communication message on the at least one second user device, e.g. in the second living space in a (e.g. in a in a certain way) changed or an unchanged form (e.g. compared to the specification of the one or more first persons).

According to a further embodiment, at least one first item of information for initiating or influencing the first communication, the communication with one or more second persons, is output on the one or more first user devices, e.g. in their respective first surroundings or within the one or more first living spaces . The first piece of information can in turn be selected, determined or adjusted as a function of the one or more parameters (second or as the second parameter). The first information can be output or generated as part of a communication message. In other words, the first piece of information (or the second piece of information) can be used (or disguised) as part or changed part of a communication message.

For example, the first piece of information can be indicative of a difference or change in a part of media content to be output or the communication message compared to content that is (otherwise) to be output. This can be related to (a short section of) a media content to be output or the communication message or a change, in particular a modification of the communication message, can characterize or determine it. For example, the at least one piece of first information can include or be one or more consecutive sounds, individual images, image sequences, symbols, texts or changed modified sounds, individual images, image sequences, symbols, texts, etc. In particular, the first piece of information is information that differs from the at least one auditory content and/or visual content to be output (so to speak, from useful content or useful content). For example, this cannot be part of a multimedia program to be output, intended for output. Rather, this information can be added to and/or integrated into an auditory and/or visual content or to a multimedia program and/or communication in the method. In particular, it does not have to have any meaning or content that can be perceived, in particular consciously, by the respective first person.

Alternatively or additionally, the at least one second piece of information can be used in an analogous manner in relation to the second user device or for the at least one second person. This can have the characteristics corresponding to the first information. This is also referred to as "second information" when used on the second user device. The at least one piece of first information or second information can, in particular predominantly, only or essentially only, determine or include a mental, emotional and/or cognitive stimulation of the one or more first persons or one or more second persons.

For example, on the one or more first user devices, at least one piece of first information i1 or a first section of media content comprising first information or modified depending on (also understood to be modified by) first information can be generated or changed. For example, at least one second piece of information i2 or a first section of a media content comprising second piece of information or modified depending on (also understood to be modified by) second piece of information can be generated or changed on the one or more second user devices. The generation of the first piece of information and the second piece of information or the modification of the sections of media content on a number of user devices can take place independently of one another or in a coordinated manner. For example, this can relate to the first information on one or more first user devices, second information on one or more second user devices, or first information and second information among one another.

For example, the first piece of information or the second piece of information can create or require a boundary condition, context, reference for the perception and/or (eg cognitive, emotional and/or psychological) processing of part of the content of the communication message. For example, the perception (eg intensity of perception, type of perception) of part of the communication message (eg information or factual aspect contained in the communication message) and/or a cognitive, emotional process or action stimulated by the communication message can be influenced. For example, the influencing or the resulting effect or reaction can be aimed for or achieved according to the target value. For example, the at least one piece of first information and/or second information can be generated (eg a communication message modified with it) in order to determine the corresponding reaction (in particular also to be understood as a change in the reaction). The data characterizing the corresponding first reactions or second reactions can be processed (also to be understood in particular: used) to change the mathematical context or to train and/or operate the at least one neural network.

The at least one first piece of information or the corresponding stimulus may include or be used in conjunction with content, characteristic and/or symbol that is associated (generally or at least likely for the one or more first persons) with the at least one second person. Depending on the first reaction of the one or more first persons, one or more first parameters (directly or indirectly) characterizing an attitude, relationship, emotion of the one or more first persons in connection with the at least one second person can be determined.

Alternatively or additionally, a (further) first piece of information or the corresponding stimulus can comprise or be used together with a content, characteristic and/or symbol which (generally or at least probably for the one or more first persons) does not correspond to the at least one second person is associated. For example, with or depending on the first information, the communication of the one or more first persons and/or the media content to be output (on the respective user device or to the respective first or second persons) is stimulated or influenced.

Depending on the first reaction of the one or more first persons, one or more first parameters (directly or indirectly) can be determined, which are essentially independent of the second person (as an at least potential recipient, in particular also to be understood: perceiver of the communication message). are. Depending on the second reaction of the one or more second persons, one or more first parameters can be determined (directly or indirectly) that are essentially independent of the one or more first persons. These first parameters or the second parameters can characterize a general state of the personality model, the environment, the mood of the one or more respective persons or a change in these under the influence of the first information or second information.

Preferably, the first parameters of the reaction of the one or more first persons to a communication, in particular a section of the communication changed (also to be understood in particular: replaced) by a first piece of information, and/or media content, in particular a section of the media content changed by a first piece of information are processed and taken into account in the process. This can apply analogously to the second parameter.

The one or more parameters of the reactions to the (first or second) persons (to be understood also as a change in the corresponding parameter values) which are determined on the basis of the first piece of information or the second piece of information can be used for training and/or operating the at least one neural network are used. For example, the first piece of information and/or the second piece of information is used to determine the at least one neural network depending on the corresponding parameters of the reaction stimulated with the first piece of information or with the second piece of information (in particular also to be understood: a change in the reaction) of the (first or second) to train and/or operate people (e.g. when operating, controlling in operation).

• - die von den mit der zumindest einer zweiten Person assoziiert bzw. assoziierbare Reaktionen kennzeichnen, und/oder
• - die mit der zumindest einer zweiten Person nicht assoziierte bzw. assoziierbare Reaktionen kennzeichnen.

Daraufhin kann das Trainieren des zumindest einen neuronalen Netzes und/oder das Betreiben des zumindest einen neuronalen Netzes (und folglich das Bestimmen oder Anpassen, z.B. steuern oder mitsteuern eines oder mehrerer Parameter der Kommunikationsbotschaft durch das trainierte neuronale Netz) abhängig von dem Ergebnis der Verarbeitung, insbesondere des Abgleichs ausgeführt werden.Processing, in particular comparison of the first parameters of the one or more first reactions, is preferably carried out in the method,

• - which are characterized by the reactions associated or associable with the at least one second person, and/or
• - which indicate reactions that are not associated or can be associated with the at least one second person.

The training of the at least one neural network and/or the operation of the at least one neural network (and consequently the determination or adjustment, e.g. controlling or co-controlling one or more parameters of the communication message by the trained neural network) can then be carried out depending on the result of the processing, in particular the reconciliation.

According to a further embodiment, at least a first section of the first media content or a first section of the second media content is generated or changed on the first user device and/or on the second user device in order to stimulate or influence the reaction of the at least one first person or second person. The first piece of information or the second piece of information can be output as part of a communication message (likewise generated in the method or a further one). For example, the first information or second information can be indicative of a difference between a first section of the (respective, first or second) media content and media content that is (otherwise) to be output. The first information or second information output on the one or more first or second user devices can be output by means of a further device (e.g. directly or indirectly networked with the first or second user device), e.g. output device. The at least one (in the method) generated or modified first section of the (first or second) media content can be a section that has been added, faded in, integrated, mixed in and/or modified (in particular, a short) section.

For example, the at least one piece of first information or second information (e.g. by means of one or more first or second user devices or within the one or more first or second living spaces) can be used to stimulate or influence a (e.g. a specific or selected according to specific criteria ) section of the first or second communication and/or to change one (of, e.g. the first or second) media content, in particular at least one (e.g. of a specific or selected according to specific criteria) section of the media content. The at least one piece of first information or second information can be included in media content to be output (e.g. on the first or second user device or within the first or second living space) (as a part, section or instead of a part or section of the media content or as a modification of a bleed) may be inserted and/or integrated with any portion of the media content. In particular, the first information or second information can be part of a (e.g. modified) communication message, in particular part of a communication message generated (or adapted) in the method, or comprise part of the communication message.

For example, the at least one first piece of information or second piece of information for stimulating or influencing the first section of the (first or second) communication and/or the at least one first (inserted, modified, etc.) section of the media content for stimulating the at least one reaction one or more (first or second, further) persons as part of at least one communication message, one or more parameters of the communication message or the first information or second information depending on the one or more parameters of a reaction of one or more (first or second) persons in connection with a (first or second) communication in the surroundings of further user devices or within one or more further living spaces, and/or on a media content in the surroundings of further user devices or within one or more further living spaces (or is or was determined). The communication message comprising at least one item of first information or second information or the first section can be sent to a further (e.g. third, fourth) user device as well as to the second user device or as within the second living space or according to the principle described as in be created in a second living space. A part of the communication message can include first information for stimulating a section of the communication or at least a first section of the media content and/or can be handled as a first section of the media content. The one or more parameters of the corresponding reaction of the at least one person, which is temporally and/or causally related to the part of the communication message, can then be used to determine or adapt the one or more parameters of a (different, next) communication message to the (possibly next) second user device or within a (next) living space.

According to an optional refinement, the one or more parameters for generating the communication message are a parameter of a state, a state change, in particular a specific change in a state of the virtual personality, and/or a condition, e.g a condition for a state change of the virtual personality linked to a second parameter in the environment of the second user device. For example, depending on the determined parameter of the communication message, at least one specific state (e.g. corresponding to an emotional state, body language, behavior, role, etc.), a specific change in the state, or a (specific) condition for a (specific) change in the state of the text generator , speech generator, image generator, video generator, body language generator (e.g. mimic generator and/or gesture generator), scene generator, generator of tactile, gustatory or olfactory stimuli (e.g. a touch generator, scent generator or scent organ and/or a taste generator, etc.) controlled, selected, varied , determined or adjusted. In a simplified example, a condition for a change in a state of the communication message (eg from "sad" or "upset" to "funny" or "satisfied") on the second user device depends on a plurality of first parameters of the reactions of the one or more first persons changes.

In one example of the method, the one or more parameters of the communication message are characteristic (also to be understood in particular: determining) for features of a personality model, with the generation of the communication message, in particular one or more parameters of the communication message (also) depending on the personality model, e.g an execution of the personality model can be determined or adjusted. The features of the personality model are preferably at least partially independent of individual, concrete or specific communication messages, in particular at least partially abstracted.

According to a further embodiment, a parameter of the effect of the at least one communication message on one or more second persons and/or a parameter of a reaction of one or more second persons (e.g. on the second user device or within the second living space) to the at least one communication message, in particular a specific section of the communication message. The at least one neural network is preferably trained and/or operated to predict the effect or reaction (e.g. as a parameter characterizing the effect or reaction) of the at least one second person (to a communication message that has not yet been issued or transmitted, for example). .

For example, one or more parameters of the effect of the communication message (e.g. in the case of a specific further second parameter, in particular the context, scene, action, interaction, communication) can depend on an at least predominantly not consciously controlled or controllable reaction of the at least one (second) person and/or one or more of the first persons (e.g. in the case of a further first parameter, in particular the context, scene, action, interaction, communication, which in particular has a high degree of similarity with the second parameter). From one or more first parameters of the reactions of the one or more first persons, which were recorded, for example, by means of the first user devices, a conclusion can be drawn as to a parameter characteristic of a measure of the effect of the communication message on at least one (second) person, e.g. a measure of the effect is determined, estimated or predicted. This can also be done if no sensory detection of the second person takes place or is not desired.

For example, an effect (a parameter or measure of the effect or measure of effect) can alternatively or additionally depend on other parameters, e.g. the affiliation of the respective person to one or more groups of people, their earlier reaction to sections with certain, different (e.g. Objectified) effectiveness (e.g. for a specific action, interaction, communication message of the virtual personality) can be determined, estimated or predicted. Exceptionally, a parameter of the reaction can be characteristic of the effect or the parameter of the effect. In a simplified example, a parameter of the effect can be determined from a parameter of the person's reaction, e.g. by means of a person-specific, person-group-specific, context-specific, state-specific dependency.

For example, the effect of part of the communication message (eg a draft of the communication message specified by one or more first persons and/or generated in the method) on one or more second persons or the reaction of the one or more second persons can be determined, in particular predicted. This can preferably be done before the communication message is output to the respective second person. This can be done taking into account the respective second parameters and/or by means of the at least one neural network. This can be done using a (e.g. virtualized or computer-simulated in the process) personality model of one or several (respective) second persons or one person with the same affiliation to one or more groups of persons.

Feedback (e.g. body language, virtual facial expressions, simulated facial expressions of the recipient) can be generated, in particular output, to the one or more first persons (e.g. to the sender or person responsible), in particular before the communication message is output. The feedback can indicate a (e.g. objectified) evaluation of the communication message and/or a (probable or predicted) effect of the communication message on one or more second persons or a (probable or predicted) reaction of one or more second persons to the communication message .

Such feedback can be sent to the one or more first persons by means of one or more personality models or avatars (e.g. of one's own and/or the communication partner). The feedback can be generated depending on the interaction of the personality models or avatars (e.g. without the need for the people to actively participate), in particular can be output to the one or more first people, depending on the predicted effect or reaction (e.g. if the effect or reaction corresponds to a specific, in particular adjustable, criterion). Furthermore, a (possibly further) determination or adjustment of the one or more parameters of the communication message or a selection of another variant of the communication message can be carried out depending on the feedback and/or depending on the feedback from the one or more first persons (e.g. for the selection ) recommended.

For example, feedback (e.g. also dependent on the second parameter) can be generated for the one or more first persons on a specification and/or a draft of a communication message. The feedback can identify an expected or predicted effect on or reaction of one or more (possibly a large number) of second persons (e.g. specific persons or persons belonging to a specific group of persons). This can be or include a subjective, person-specific, person-group-specific or context-specific effect or reaction.

For example, the method can include an evaluation of the specification and/or the draft of the communication message with regard to its content, in particular with regard to an objectified evaluation and/or an evaluation or expected reaction related to the one or more second persons.

For example, information regarding at least probably achievable or non-achievable specifications can be determined (e.g. in advance) and/or issued to one or more first persons. For example, the information or a corresponding feedback can indicate, to a certain extent, specifications that can and/or cannot be met (e.g. for communication messages in relation to one or more second persons). For example, one or more first persons can already receive automatic feedback on your project. In particular, in the case of a large number of second persons, the one or more first persons can be informed in good time about undesirable effects or reactions to their specification or draft of the communication message (e.g. already in the project or draft stage, before or after sending). .

According to a further embodiment, the one or more parameters of the at least one communication message, in particular of the draft of the communication message (e.g. issued to the first person), are determined or adjusted depending on a predicted parameter of the effect of the at least one communication message on at least one second person and/or or a predicted parameter of the reaction of at least one second person to the at least one communication message, and/or depending on a target value of an effect of the at least one communication message on at least one second person and/or on a target value of a reaction of the at least one second person to the at least a communication message.

In particular, the parameters of the communication message can be determined or adjusted, in particular in several steps (3), (8) in such a way that an effect or reaction corresponding to a goal or target value of the at least one (specific or a specific group of people) second person is effected. In particular, machine learning or learning that is not based on rules can be carried out, for example depending on a large number of the first parameters and/or second parameters described in this document. For example, the learning process (the training of at least one neural network) towards a specific goal or target value range in relation to a qualitative and/or quantitative measure of the effect on the at least one second person or on a qualitative and/or quantitative measure of the reaction of the at least one second person. For example, the mathematical relationship for achieving a specific goal or target value of the effect or reaction of at least one specific second person or a second person belonging to a specific group of people is adapted (eg iteratively).

For example, a parameter of a (second) reaction of at least one second person to at least one section of the communication message is first predicted. The predicted parameter value can optionally be compared with a target value, in particular a target value range. A parameter of the communication message (e.g. the same communication message, another part of the communication message or a communication message stimulated or influenced by the communication message) can then be determined or adjusted depending on a predicted parameter of the (second) person's reaction. This can be done depending on the comparison of the predicted parameter value with the target value. For example, a measure of the lack of a specific effect or reaction can be determined and taken into account. The measure of the miss (e.g. the respective miss associated with certain stimuli, contexts, etc.) can be used for training and/or operating the at least one neural network.

For example, during training, (the respective) weight information or bias terms of neurons of the neural network can be adjusted depending on the extent to which the effect or the reaction is missing. When the steps of the method are carried out further, e.g. when steps (3), (*) and (8) of the method are carried out on other user devices, e.g. for other people belonging to the same group of people, i.e. with the same or similar affiliation be used for one or more groups of people.

The at least one neural network is preferably set up and/or learned or trained on the basis of a large number of processes so that an effect of the communication messages corresponding to a goal or target value or its dependence on the first parameters and/or second parameters is aimed at or achieved. is reached. After several executions of steps (3) and (8) of the method, a large number of the dependencies mapped in the at least one neural network, in particular of influences, several first parameters and/or second parameters (e.g. parameters of several different types in each case). the communication message to be determined or adjusted. This has the advantage that no (individual or specific, possibly not generally determinable) rules have to be determined and taken into account. The advantage is also due to the fact that, in the context of the invention, there would otherwise be an extremely large number of influences to be taken into account that would be difficult to take into account explicitly (e.g. would only be "programmed in" hypothetically).

The parameter of the effect on the second person or the reaction of at least one second person can be predicted and/or determined or adjusted depending on the one or more first parameters that were determined using the one or more first user devices and/or second user devices , in particular depending on the one or more (first or second) parameters of the reaction of the one or more first persons to a section of the communication or a section of the media content. The second reaction of the second person (in the vicinity of the second user device or in the second living space) is in particular one of the one or more first reactions of the first persons in the surroundings of the first user devices or within the first Living quarters different reaction. It can be a second reaction (e.g. as a specific type of reaction or a corresponding effect) which is intended or actively evoked in the process (e.g. according to the principle described).

For example, the at least one neural network can be trained and/or operated to generate (or by means of the output) the at least one communication message within the second living space or on the second user device, with a reaction, a specific reaction, e.g. a specific intensity or Type of reaction, in particular in a specific person or in a person belonging to a specific group of people, caused or influenced (eg in a specific way and/or to a desired extent). This second reaction, in particular a parameter of the second reaction to the at least one specific communication message, can (initially) be predicted. The information on a predicted reaction can be taken into account in the method. For example, a draft of the communication message (not yet issued to the second person) can then already be determined or adjusted. In particular, the (second) reaction is the reaction of the at least one second person (who uses the second user device) and (only or among others) reacts to the communication message generated with the second user device. This can (nevertheless) be done in such a way that the communication message, in particular content to be transmitted, factual aspect, appeal, self-disclosure, relationship aspect, and/or effect to be achieved or reaction to be stimulated (at least partially or largely) comes from the first person from whom first person, in particular is specified (eg by means of the specification), and/or (by the at least one second person) can be perceived (or is perceived) as coming from the first person.

In one example of the method, one or more first personality models representing one or more of the first persons and/or at least one second personality model representing the at least one second person are executed, and (thereupon): the one or more second parameters of the at least one communication message are dependent on the execution of the one or more first personality models and/or the at least one second personality model, in particular determined or adapted by a state, state change and/or condition for the state change of the one or more first or second personality models.

The term “representative” can be understood in particular to mean that the personality model characterizes certain (static and/or dynamic) characteristics of the person, at least in a highly simplified manner. In particular, "representative" is also to be understood as "corresponding" to the one or more persons or group of persons.

For example, the method can include determining and/or executing the (first or second) personality models. The determination can determine corresponding influences, relationships, e.g. simulations, so-called weight information relating to weights and/or bias terms of a corresponding neural network, which include states, state changes and/or conditions for state changes. These can use technical means to emulate one or more characteristics of the real (e.g. one or more first or at least one second) persons, in particular with regard to their behavior, interactions or communications, etc. This can be done, for example, in a model-like or appropriately simplified form. For example, a personality model of a (first or second) person forms the (typical) ego states or state transitions during communication.

In particular, a personality model characterizes or includes a model of behavior (behaviour), communication behavior or interaction behavior abstracted from one or more concrete contexts, situations, communications, perceptions, input variables, reactions. For example, a state of a personality model can be linked to one or more emotions, needs, communication parameters, interaction parameters. For example, a change in the status of a personality model is linked to one or more (specific) actions, interactions, e.g. communication action or interaction actions or an action. In particular, a first personality model, i.e. a personality model corresponding to a first person, can be determined depending on a large number of the communications or reactions of the person (to certain sections or sections with a certain effectiveness, in particular to the first information or communication message generated for a first person). , configured or trained.

Such a personality model can (also) be operated or executed in the process to determine, in particular to estimate or predict certain circumstances, e.g. the parameters of the states, emotions, needs, communications, interactions of the respective persons and/or persons to be determined, in particular belong to similar groups of people (e.g. show people with a similar affiliation to one or more specific groups of people).

In other words, a personality model can be operated, in particular executed, for one or more of the real first persons (e.g. each individually or combined into specific groups of persons). An output of the respective personality model can be characteristic of parameters of the emotions, needs, communications, interactions, actions, etc. of the respective persons and/or (virtualized, e.g. combined as a model) persons representing a specific group of persons or a number of several, in particular among themselves similar groups of people. For example, a (e.g. essentially the same or adjustable by parameters) personality model for people who belong to the same or similar groups of people or have the same or similar affiliation to groups of people (e.g. children of a certain age who are particularly interested in science fiction, retired musicians , middle-aged housewives) with one each (E.g. essentially the same or correspondingly adaptable by parameters) personality model are represented.

In a further example, depending on the first parameters or the second parameters, a parameter of the affiliation of the at least one first person or the second person to one or more groups of people can be determined. This parameter can be processed, for example, for (repeatedly or further) determining or adjusting the second parameters for operating the avatar.

For example, a parameter of the communication or reaction of at least one real, first or second person, e.g. within a time interval, with one or more personality models or variants of a personality model, which in particular have the same parameters of context, situation, communication, media content, etc The at least one real first or second person is executed, compared, in particular compared. For example, the states or state changes of the real person are compared, in particular compared, with the states, state changes, etc. determined by one or more personality models or variants of the personality model. The personality model can then be adjusted as such (e.g. depending on the result of the comparison) and/or one of several variants of the personality model or variants of the parameters of a personality model can be selected or adjusted. For example, a personality model, variant or parameter is selected or further adjusted that has the greatest possible degree of similarity, correlation and/or probability of agreement (e.g. a statistical "hit rate") with the states, state changes or conditions of the state changes of a specific (first or second) real person or a person with a specific affiliation to one or more specific groups of people, in particular under the condition that the parameters of the states, state changes or conditions for state changes are (compared to the corresponding states of the real person) predicted parameters. Adjusting the personality model can also be or include synchronizing the personality model (e.g. the respective states, state transitions, etc.) with the respective real personality.

Depending on a degree of similarity, correlation and/or probability of a match of the, in particular predicted, parameters of a specific personality model with the corresponding states, state changes or conditions for state changes of a real (first or second) person, at least one person can be assigned one or more groups of people, e.g. determined, in particular estimated or predicted, as a respective parameter of affiliation.

In one example of the method, one or more first states or changes in state representing one or more states or changes in state of the one or more first persons and/or one or more states or changes in state representing one or more states or changes in state of the at least one second person are determined, in particular predicted, and
a second parameter of the communication message is determined or adjusted depending on the determined states or state changes of the one or more first persons and/or the at least one second person. Alternatively or additionally, a parameter for operating the at least one personality model or avatar can be determined or adjusted depending on the one or more states or state changes.

For example, one or more first personality models representing one or more of the first persons and/or a second personality model representing the at least one second person is operated (eg in the processing unit R2), in particular executed. Information based on the first parameters and/or the second parameters can be used as their respective input variable of a personality model. As an output variable of a personality model, parameters can be characteristic (e.g. more or less current or related to certain time intervals from the past and/or future) states and/or state changes of the first persons or one or more states and/or state changes representing the at least one second person determined, in particular predicted.

In other words, the at least one personality model (e.g. operated by means of the at least one neural network) can be adapted or trained, depending on how certain states or state changes correspond to certain, corresponding states or state changes of a real (first or second) person includes or predicts. Then it can Personality model for predicting the states of the second person (e.g. the recipient of the communication message, for controlling a personality model of the avatar or for determining or adjusting the parameters. Using an adapted, in particular synchronized with the respective real person, or trained, in particular dependent From the (first or second) parameters trained personality model, the effect of the communication message (e.g. before it is issued to the second person, possibly as a draft) on the second person and/or reaction of the (respective) second person to the communication message be predicted and/or adjusted.

For example, the one or more second persons can be represented by the respective (e.g. person-specific, context-specifically adapted or trained) personality models when generating the communication message or when determining or adjusting the parameters of the communication message. The effect of the communication message on one or more second persons or the reaction of the one or more second persons to them (e.g. in advance, for example in the time interval of the communication and/or after the communication) is determined, in particular predicted. The personality model can (e.g. in the time interval before the communication message is output, during the output of the communication message and/or after the output of the communication message with the (respective) second parameters, in particular the second parameter of the context, the scene, the physical emotion of the second person adapted (e.g. changed or controlled) In an analogous manner, a personality model of one or more first persons can be operated.

Depending on the parameters determined with a personality model, in particular predicted, which characterize one, in particular predicted, state, state change of one or more of the real people or one or more (representative) groups of people to which the real people belong, one or more corresponding parameters of an emotion , need, communication, interaction, intention, action of the real people or one or more (representative) groups of people for which the real people are determined or predicted.

For example, depending on a second parameter in the environment of the second user device, e.g. indicating a second context, a second effect or a second input, a parameter of an emotion, need, communication, interaction, intention, action of a first person or a first group of people be determined or predicted. These can be determined, in particular estimated or predicted, depending on one or more first parameters characterizing a state or state change or corresponding first emotion, need, communication, interaction, intention, action of a (respective) first person who is associated with this person or A person belonging to one or more specific groups of people has already been determined in a similar context, a first impact or information. A second parameter of the communication message can be determined or adjusted as a function of the ascertained or predicted parameters, which characterize a state or state change of one or more of the real persons or groups of persons corresponding to them.

In particular, the personality model of the one or more second persons (e.g. one or more personality models operated on behalf of the one or more second persons) can be changed depending on a communication message (e.g. not yet sent to the one or more second persons) (e.g. one or more drafts or . Variant of the communication message) are operated. The personality model can in particular be set up in a person-group-specific, person-specific, context-specific, etc. manner. For example, it can be operated according to a transactional analysis model, an SR model (=stimulus-response model) and/or a Riemann-Thomann model.

The one or more personality models (e.g. taking into account the respective second parameters) can represent the state, e.g. personality state, state of mind, and/or context, scene, surrounding or perceived stimuli, changes in state, emotions of the respective second persons (e.g. at least simplified, model-like ) depict, in particular simulate. The one or more personality models can be at least partially or temporarily synchronized with the respective real second persons.

The effect of the at least one communication message on the (respective) personality model and/or the reaction of the personality model to the communication message can be determined. This can be characteristic of the prediction of the effect on the communication message of the respective second person or reaction of the respective second person to the communication message.

Depending on the determined effect or reaction, feedback can be generated for the one or more first persons, the parameters of the at least one communication message can be (further) determined or adjusted, a variant of the communication message can be selected and/or one or several first persons are offered.

In the method, the communication message (generated in the second living space or on or with the second user device), the program, e.g. a multimedia program, entertainment program or a corresponding (overall) experience, from the at least one communication message and other media content, a specific Include number or sequence of the (such, second) effects or reactions. For example, the program includes a certain sequence of different communication messages, each of which causes (stimulates) or influences different effects, reactions or effects, reactions of different types. This can involve (various, different) effects or reactions that are stimulated (or triggered) or influenced by at least one, preferably a large number of, communication messages. The number or sequence of the effects or reactions can be selected or generated according to a desired, predetermined, e.g. psychological, dramaturgical, principle or scheme.

With the one or more communication messages, a sequence of effects or reactions of the at least one second person can (in turn) be stimulated or influenced. This can follow or be generated according to one or more specific patterns known from dramaturgy, television or film production or according to a dramaturgical law or principle (e.g. known from theater studies). For example, one or more specific combinations, in particular sequences, from different second (emotional, psychological, cognitive) effects or reactions, e.g. as emotions of the at least one second person (which can be selected or have been selected according to a desired dramaturgical principle or scheme) be stimulated or brought about. For example, such a sequence can be a suggestion for the second person to feel different perception contrasts, emotions and/or emotional transitions in a specific order and/or intensity. For example, emotions such as, e.g., security, concern, fear, compassion, despair, hope, triumph, euphoria, etc., and/or certain emotion transitions, e.g., according to a predetermined or selectable scheme, can be induced.

As a result, an (expedient, predetermined, planned) dramaturgical, emotional, psychological effect on at least one (specific, second) person or a person belonging to a specific group of people can be stimulated or evoked. For example, the at least one neural network can be trained and/or operated in order to create a (resulting overall) contrast or transition between certain (in particular also to understand: to produce effects or reactions corresponding to certain criteria.

For example, the at least one neural network can be set up, trained and/or operated in order for a second person (in communication with one or more people or perceiving) to receive a specific (e.g. desired, specified, ordered by the first person, or a desired surprising) psychological, cognitive, dramaturgical or emotional effect (especially in relation to communication as a whole), e.g. a desired, planned sequence of effects or ones that follow or correspond to a specific concept, e.g “ of emotions, needs, states, to generate or stimulate.

Alternatively or additionally, at least one communication message can be generated with a parameter that is determined or adjusted in such a way that a specific (second) reaction, e.g. a reaction with a specific parameter, e.g. with a specific type of reaction and/or intensity of the reaction, in particular with a specific person or, in the case of a person, belonging to a specific group of people, caused or influenced (e.g. in a specific way, to a desired extent).

For example, an effect or reaction, in particular a parameter of the effect or reaction, can be predicted that comes from a (specific) section of media content (e.g. to be output) and/or from a communication message (or from media content or from a communication message with a specific parameter), which are output in particular in the same time interval or one after the other, with at least one person, a specific person or person belonging to a certain group of people is likely to be caused. Depending on the predicted effect or reaction, in particular on the predicted parameter of the effect or reaction, the one or more parameters of the communication message can be determined or adjusted, with a parameter of the effect or reaction, for example to a specific goal or target value out, changed, in particular controlled or regulated. For example, a parameter of the communication message can (also) be determined or adjusted depending on a predicted effect or reaction (possibly again, several times, iteratively). This can be determined or adjusted in such a way in order to achieve or stimulate a different, corrected, desired effect or reaction corresponding to a certain goal or target value (eg compared to a previously or previously predicted reaction).

As a result, a (e.g. appropriate, predetermined, planned) dramaturgical, cognitive, emotional and/or psychological effect can be achieved or a reaction can be stimulated in at least one (in particular a specific, second) person or a person belonging to a specific (second) person ) become a group of people. In particular, at least two different effects (e.g. dramaturgical experiences) can be achieved for at least two different (second) people, e.g. for the tailored one, and/or different reactions (e.g. actions) can be stimulated. This can be done using the same or similar information, wording, factual aspect contained in the communication message (or variant of the communication message). For example, the same or different effects or reactions can be specified and/or aimed at for different second persons, e.g. by means of the specification from the same information.

The same or different goals, target value ranges, in particular target values, in relation to the objective or subjective effects and/or or reactions are sought or achieved.

For example, the at least one neural network can be trained and/or operated in order to generate at least two different, at least one respective communication messages from audio and video material (e.g. available, readable, output) (e.g. relating to events that are independent of people, living spaces, user devices). to generate comprehensive communication that achieve different effects or reactions for two specific different people or groups of people, in particular effects that can be influenced in each case. For example, the effects or reactions can also be (dynamically) changeable or can be changed during the course of the method.

For example, a mathematical relationship between a first portion of the communication or a first portion of the media content (e.g. as a stimulus with a known effect or effectiveness) and a first reaction of the at least one person (in the vicinity of a first user device or within of the one or more first living spaces) for determining or adjusting the one or more parameters of a communication message (at the second user device or for the second living space) are trained (and used in operation). The one or more parameters of the communication message can be determined in such a way that the communication message stimulates or influences (causes, effects overall) a specific reaction or a reaction with a specific parameter. See also the description regarding the audio and video editing. For example, by determining or adjusting the parameter of the communication message, a desired reaction of the at least one person can be controlled, e.g. dynamically and/or towards a target value range. In particular (e.g. with several sections of the communication message with or without combination with the sections of the media content to be output) a certain sequence of effects or reactions of at least one person can be evoked, e.g. a certain emotional, cognitive or psychological effect, e.g. a dramaturgical one To achieve effect, in particular in a certain, in particular dynamically changeable (dosable) extent.

According to a further embodiment, a parameter of the at least one communication message is determined or adjusted in such a way that a second communication by a second person, in particular involving a second person, e.g. in the vicinity of the second user device or within the second living space, in particular in a specific way and manner and/or to a certain degree, is stimulated or influenced. In particular, a second communication that differs from the communication by or with the one or more first persons is stimulated or influenced. For example, the communication can be content-related, thematic, with regard to a communication style, etc. in particular which are influenced to a certain degree according to a certain goal or target value range. The degree of influence (exercised with the communication message) may depend on the one or more first parameters of the one or more first communications and/or a first parameter of the reaction of one or more first persons to media content (in the one or more first living spaces or in the environment of the one or more first user devices).

For example, the second communication (on the second user device or in the one second living space) in a specific dependence and/or by means of the at least one appropriately trained and/or operated neural network, from the one or more first parameters of the communication or the Reaction of the one or more first persons are influenced. The at least one neural network can be trained and/or operated in order to influence the second communication in such a way that it has the same, opposite, and/or changed effect, characteristics or tendency by a certain fixed or dynamic (or dynamically changeable) factor, e.g. be strengthened, weakened or changed compared to the one or more first communications.

The second communication can be influenced, for example, by selecting a section of an audio and/or video signal or an order or combination of several sections of an audio and/or video signal and/or by determining or adjusting the parameters of a generation of the at least one communication message, e.g. text generation, language generation, image generation, video generation, body language generation (e.g. generation of facial expressions and/or gestures), scene generation, generation of tactile, gustatory or olfactory stimuli, etc. By appropriately selecting the sections from which a specific effect or effectiveness can be expected for the corresponding second person or group of people or by determining or adjusting the parameter of speech generation, a specific (e.g. dynamic, adjustable, towards a target value) Influencing the second communication done.

For example, the parameter of the at least one communication message can be determined or adjusted depending on a parameter of the second communication (which prevails or is determined on the second user device or within the second living space) and one or more first parameters of the one or more first communications (which prevails or is determined at the one or more first user devices or in one or more first living spaces) or the first reaction of the one or more first persons. The one or more parameters of the communication message can be determined or adjusted in such a way that the second communication is stimulated or influenced according to a specific goal or target value, e.g. a goal of the communication and/or the target state in relation to at least one second person.

The at least one second communication can be a communication involving a second person, which in particular takes place at least partially simultaneously with and/or after the communication (after the communication comprising one or more communication messages). In other words, a subsequent second or third communication (possibly conducted with a second and/or third person) and/or the effect of the second communication (e.g. with a specific goal) can be influenced. In particular, a specific effect or an effect with specific features of the second or third communication taking place (at least partially and/or after the output of the communication message) can be sought or brought about. In this case, too, one or more effects or reactions (e.g. complex ones that go beyond a simple change or action) can be specified and/or aimed for. In particular, the effect can (also) be a need to share or communicate (further) about the information received and/or a suggestion to share or to pass on or use information (e.g. according to the communication message or stimulated by the communication message) or include.

According to a further embodiment, a first parameter of a first communication (eg in a first living space) can be determined and taken into account, and a second parameter of a second communication (eg in a second living room) can be determined and taken into account. Processing, in particular a comparison of the first parameter and the second parameter or information based on the first parameters and information based on the second parameters, can (also) be carried out and the result of the processing can be taken into account in the method. For example, a result of the processing, in particular of the comparison, eg a measure of similarity, correlation, respective parameter value ranges, pattern, etc. between one or more parameters and one or more second parameter are determined and taken into account. For example, the at least one neural network can be trained depending on the result of the processing, for example the comparison. In particular, depending on the result of the comparison of the first parameter of the one or more first communications with the second parameter of the second communication, an intensification and/or throttling of at least one parameter (further characteristic of the course of the method), e.g. resulting from the method or the effect, reaction, trends, etc. that can be influenced by the process are trained and/or operated. For example, the at least one neural network can be trained depending on the result of the comparison in such a way that an influence of the at least one first parameter (e.g. within the one or more living spaces) and/or a second parameter on the communication message increases, decreases, and/or is changed according to a predetermined dependency, for example depending on a certain criterion.

In an example of the method, if, e.g. e.g. before the same or a similar effect occurs there, can be determined or adjusted. This can be done in such a way that a specific trend (e.g. tendency) in the second living space, e.g. a trend towards a specific parameter (e.g. not corresponding to a normal range, a target value range, undesirable, unfavorable) parameter of the communication (which is already in the at least one second living space takes place or is likely to take place or can still take place) is prevented.

For example, a second parameter of the communication message can be determined or adjusted in such a way that a parameter, feature or trend of the second communication is influenced in a specific way or to a specific extent. A second feature or a second trend of the second communication can be influenced in such a way that a corresponding, similar, opposite, and/or changed by a certain fixed or dynamic factor feature or trend is brought about. For example, by determining or adjusting one or more parameters of the communication message, a second feature or trend of the at least second communication can be brought about, which is in a specific, desired relation to a first feature or first trend (or a corresponding statistical value ) standing one or more first communications. For example, a specific feature or trend of the one or more first communications (e.g., in the one or more first living spaces, user devices, or first persons selected according to specific criteria) may be identified, and a (same, similar, or different) feature or (the same, similar or different) trend by determining or adjusting the one or more parameters of the one or more communication messages (at the one or more second user devices or within the second living quarters) in an enhanced, weakened or (e.g. to a specific Kind specific way) altered form are effected.

According to a further embodiment, the at least one second user device or second living space can at least temporarily be a first user device or a first living space, or at least temporarily as a first user device or a first living space (or the first user device or the first living space) are handled and a first user device or the first living space and/or a third user device or a third living space is a second user device or a second living space, or as a second user device or second living space (or the second user device or the second living room) are handled. A first user device or first living space or second user device or second living space (including a selection, in particular diverse, of all parameters recorded in connection with the living space, the method steps described in this document, etc.) can simultaneously or at least temporarily play the role of a second or first user device or living space or be handled as a first user device or first living space in the method (in the same step of the method or in a later step).

Furthermore, a further third user device or a further third living space can participate in the method, which at least temporarily fulfills a role corresponding to the second user device or the second living space or is handled like a second user device or second living space in the method. The corresponding meanings or references provided in this document are to be understood accordingly for a corresponding part of the method, for example in a correspondingly interchanged form. The term "handled" is to be understood in particular as being operated or operable (used or usable). In other words, those described in this document Change or overlap the roles of the user devices at least temporarily, be designed to be changeable and/or be changed. For example, the user devices mentioned can each fulfill different roles compared to the other user devices.

According to an optional embodiment, the method includes determining one or more first parameters of the scene, a first parameter of an emotion of one or more first persons, a first parameter of an intention of one or more first persons, and/or a first parameter identifying the affiliation of the one or a plurality of first persons in the one or more environments of the first user devices to one or more specific groups of persons, and (thereafter); determining or adapting the one or more parameters of the communication message depending on the first parameter determined.

According to a further embodiment, the reaction of the one or more first persons is stimulated or influenced on the one or more first user devices and/or carried out. The reaction can be stimulated or influenced by stimulating or influencing the first communication, by changing the media content, by performing or changing an action, interaction and/or by generating a (first) communication message that is sent to the first person (in particular by the second person or on behalf of the second person). In other words, a specific stimulus or influencing of the reaction of the one or more first persons can be effected by a first first of the communication message generated in relation to the respective first persons (perceivable by the first persons). One or more parameters of the first reaction (excited or influenced in this way) can be taken into account in the method.

According to a further embodiment, one or more pieces of first information and/or one or more sections of the (e.g. first) media content for output on a first user device is selected depending on the one or more parameters of at least one communication message, in particular to be generated, and/or a target of the Communication chosen, determined or adjusted.

According to a further embodiment, one or more pieces of second information and/or one or more sections of the (e.g. second) media content for output on a second user device is selected depending on the one or more parameters of at least one communication message, in particular to be generated, and/or a target of the Communication can be chosen, determined or adjusted.

The second piece of information or the handling of the second piece of information can have the same or respectively corresponding features as the first piece of information. In other words, the first piece of information or the second piece of information can be selected, determined or adjusted (also) depending on the characteristics, the desired result of the communication message or the communication. First parameters (e.g. case-specifically useful) or second parameters (e.g. for the reactions of the respective persons) can be determined.

Stimulating or influencing the (first or second) reaction, in particular by stimulating or influencing the first communication, changing the media content, performing or changing an action, interaction (e.g. towards the person) and/or generating a (first) A communication message from one or more user devices can be sent to the one or more first user devices depending on first information (provided for this) or the second information. Alternatively or additionally, the (first or second) reaction can be stimulated or influenced at least partially as a function of a random variable.

The one or more first items of information and/or second items of information or the changes specified and/or caused by them can be constituted, determined or selected in such a way that they cause no or only a slight (e.g. infinitesimal) disruption to the (first or second) person and/or no or only minor changes are caused for the (first or second) person concerned. For example, a media content, action, interaction, communication message or their effects that is (e.g.) to be output (anyway) can be changed comparatively slightly, infinitesimally. The first information or second information can be determined, in particular selected and/or processed for a specific stimulation, in particular for stimulating a specific reaction or a (e.g. subjective, psychological, cognitive) effect. For example, one or more parameters of the first information or second information can be taken into account when generating the communication messages or for operating the one or more personality models or avatars.

The one or more pieces of first information are designed or caused for the purpose of certain or certain criteria corresponding to (e.g. independent of a rational task, eg at least partially meaningless or irrational) actions towards or interactions with the one or more first persons to carry out or to generate such communication messages. Stimulating or influencing the reaction can be independent of the (actual, rational) goal of the communication message or communication.

In a simplified case, the first information can be output (e.g. in a suitable form) with a section of the first media content, e.g. For example, the first piece of information can be output at the same time as other content of the section, combined with it, integrated into it (e.g. in terms of content or space). For example, the first information can be generated as an output according to the principle of generating the communication message described in this document, in this case a first communication message on the first user device. For example, the first information can be an instruction (instructions) for a specific change in a section or information to be output on the relevant first user device. Also in this case it can be a small change, change of a small part of the content, and/or change within a short section. The first information can preferably be determined, in particular selected, depending on the desired first parameters of the reactions of the one or more first persons required for generating at least the (second) communication message (on the at least one second user device). A required, desired and/or expediently limited level of stimulation or influencing can be selected or initiated in each case.

The at least one first piece of information and/or second piece of information is particularly preferably initiated and/or a parameter of the (first or second) effect of the (first piece of information or the second piece of information) on the (first or second) person and/or the (first or second) reaction of the (first or second) person to the (first information or second information) can be used for training and/or operating the at least one neural network.

At least one parameter of the first item of information or the second item of information, a user device, living space and/or person for which the first item of information is to be generated, can be determined or adapted depending on the neural network to be trained or on the trainer of the neural network. At least one neural network (e.g. in the context of supervised or unsupervised learning) or the trainer of the neural network can select the user devices, people and/or parameters of the first piece of information or the second piece of information (as the stimuli for the respective e.g. elected persons).

In a further example, parameters of the reactions of the one or more first persons to certain combinations of first parts (contents or sections) occurring in a communication and/or in one or more media content, in particular of content and sections, each with different perception channels (e.g. auditory and visual) are determined. Depending on the determined parameters, a criterion for combining the second parts (contents or sections), in particular in one communication message or in two or more communication messages to be output one after the other, can then be determined or adjusted. For example, a corresponding parameter of a text generator, speech generator, image generator, video generator, body language generator (e.g. facial expression generator and/or gesture generator), scene generator, generator of tactile, gustatory or olfactory stimuli (e.g. a touch generator, scent generator or scent organ and/or a taste generator, etc .) To generate the at least one communication message and/or a parameter of the communication message can be determined or adjusted. For example, this can be done in such a way that specific combinations are selected, prioritized, prioritized and/or changed.

In a further example, different (first) combinations of a (first) auditory output and a (first) body language output can be generated at the second user device. The formation or output of the combinations from the first user device, from the second user device or from the remote computing unit R2 and/or can be initiated according to corresponding first information. Depending on the one or more first parameters of the reactions of the one or more first persons, in particular indicating a corresponding effect (e.g. a certain degree of understanding, joy, laughter, amazement, dismay, etc.) on one or several (first) combinations, (second) combinations of a (second) auditory output and a (second) body language output on the second user device can be preferred, avoided and/or generated depending on a respective goal or target value of the effect. The first auditory output and the second auditory output, or the first body language output and the second body language output, can meet a specific criterion, in particular (each) have at least a certain degree of similarity to one another. In this case, the one or more (second) parameters for generating the at least one communication message can be determined or adjusted for the formation of combinations of auditory and body language outputs.

For example, the parameter of a criterion or a regulation can be determined, according to which a parameter of a body language output is generated for information to be output auditory, a parameter of an auditory output which is determined as a (determined or output) body language or is adapted, and/or a parameter according to which data sections representing sections that can be output auditory and body language are combined or can be combined. As a result, combinations of auditory and body language outputs that correspond in particular to a target or target value of the effect, e.g. for human perception, e.g. for people belonging to certain groups of people, can be generated as suitable or congruently perceptible on the second user device.

For example, one or more first pieces of information, in particular the first piece of information for stimulating or influencing the reaction of the at least one person and/or one or more sections of the media content for output on a first user device, in particular a first section for stimulating or influencing the reaction of the at least of a person are selected, determined or adjusted depending on the one or more second parameters of at least one communication message or is or comprises a communication message (e.g. generated in the method, for example in a preceding or simultaneously executed step 8). For example, a (first, in the vicinity of the first user device, e.g. within a first living space, and/or output by the first user device) media content (at the same time) is or includes a communication message (as this term is described in the context of the present document). A first media content can preferably be or include a communication message in which at least one parameter has been influenced or adjusted according to one or more features of the method or is being influenced or adjusted (e.g. almost simultaneously).

For example, the communication message can be generated as part of a (first) media content, in particular a larger one that has not been changed to a significant extent, e.g. be or will be integrated into media content to be output in the vicinity of the first user device or in the at least one first living space. The first media content can be output in the vicinity of the first user device, e.g. prompted by the first user device, or by means of the first user device.

For example, a second user device or second living space (in particular including all parameters, method steps, etc. recorded in connection with the living space) can simultaneously or at least temporarily be a first user device or first living space. This can apply to a nearly simultaneous or subsequent application of the method. The communication message (on the second user device or in the second living space) can be handled as media content (in the vicinity of the first user device or a first living space). A parameter of a further communication message can be determined or adjusted from a further user device or in a further living space, e.g. in the living space now considered a second user device or second living space or on a third user device or in a further third living space.

For example, the method can include determining or adjusting the one or more parameters of a communication message, wherein this (simultaneously or in the same, e.g. short time interval) a part of the media content (as this term is understood for the first user device or the first living space) forms or is handled in the method as the media content on or in the vicinity of the first user device or in a first living space. The reaction of the at least one person to the media content can be determined and taken into account. In a further course or step of the method, a parameter of a further (next) communication message (eg on a first user device, on a further user device or in a first living space or in a further third living space) can in turn be determined or adjusted depending on this reaction become. the last Said communication message can in turn be handled as media content on one of the user devices or in one of the living spaces.

In other words, the communication message can be a stimulus for detecting said parameter of the reaction of the one or more first persons forming or comprising the stimulus. In this case, in the method, a determination or adaptation of the parameters of the communication messages, in particular mutual, cyclical and/or extending to a plurality of (additional) user devices or living spaces, can be carried out.

According to a further embodiment, a reference, in particular reference information characterizing a measure of a reference, between (on the one hand) the one or more first user devices, one or more first persons (e.g. in the vicinity of a respective user device), and/or the one or more first living space in which the respective user device is operated, and (on the other hand) a second user device, one or more second persons, a second living space in which the user device is operated and taken into account in the method.

Such a reference, in particular the reference information, can be a quantitative or graded value that characterizes a one-sided or mutual reference (between user devices, living spaces, between people or between living spaces and people). For example, a value of the relationship between the first group of people who use the first user device in a first living space and a second group of people who use the second user device in the second living space is determined and taken into account.

The reference, in particular the value of the reference, can depend on the affiliation of the one or more first persons and/or the one or more second persons to the same, to certain or through certain (e.g. similar or in a certain relation to each other) characteristics marked communication groups. For example, the relationships (e.g. respective values of the relationships) are determined between one or more first persons (by or on whose behalf the at least one communication message is generated) and one or more second persons (to whom the communication message is output). Several values of the (respective) references between the respective first and second persons can be determined and taken into account. Different communication messages or variants of a communication message can be generated, in particular based on the same specification (e.g. for different second persons of a distributor or subscriber).

In particular, the determination or adaptation of the communication message can only then or predominantly then be carried out or carried out in accordance with a specific mathematical relationship (e.g. provided for this case) depending on the (respective) value of the reference. For example, predominantly when such a reference, in particular a sufficiently high value of the reference, is recognized. The reference can be determined depending on the whereabouts of the people and/or use of the user devices in the living rooms or by the people. The reference can identify the affiliation of the first living space and the second living space or a person within the first living space and a person within the second living space to a certain number of people or to a group of people or be determined depending on this.

For example, the relationship between the second living space and a first living space can depend on spatial proximity, e.g. district, village, community, and/or interests, partnership status, family relationship of the persons, and/or depending on a data entry, a registration (e.g. based on of registration data), e.g. as part of a group or community (club, a group in a social network, a number of people with the data brought together or matching according to a certain criterion), frequency of stay, e.g. at certain locations.

For example, the relationship between people can depend on a degree of belonging to a family, extended family, circle of relatives, circle of acquaintances, on their status, e.g. friendship status and/or blocking status (such as exclusion, e.g. from a circle of friends, club, community) or on a special determined (e.g. recognized) based on the process or an effect generated in the process. A relationship between the persons can be recognized, for example, depending on a status, in particular profile data, profile status in a social network or a comparison, for example matching, or such information. For example, in the process, information or settings genes are taken into account that a person, in particular a person responsible for a respective living space or staying there, e.g. with regard to their desire to influence (to influence) and/or to be influenced (to be influenced), e.g. in a social network has or can make or change.

A reference information characterizing the value for a reference of a (specific, first, second) user device, a specific living space or a person to another (specific, second, first) living space or another person or group of living spaces or people be variable or changeable. In particular, the reference can be adjustable with regard to a one-sided or mutual influencing, e.g. The value for a reference can preferably be set in several stages or essentially steplessly (for example as a “regulator”). For example, different degrees of one-sided or mutual influence can be set for certain devices, e.g.

For example, the reference, in particular a value of the reference between two living spaces or the user devices or corresponding persons by the corresponding at least two persons (e.g. one or more first persons as users of at least a first living space or first user device and a second person as user at least one second living space or second user device) determined, e.g. set or adjusted. For example, the value of the reference can be determined depending on an agreement between at least two people or depending on a comparison, e.g. matching the inputs or settings you have made, your (e.g. current or statistical) behavioral parameters, whereabouts, etc.

The value of the reference can also be determined or adjusted depending on a match between certain inputs, settings of the user devices, wishes, etc. Such a group can be defined or determined or formed in the process depending on the brand, operator, registration of the corresponding user devices (terminals), an operator of the method and/or a corresponding computer product. The group can be a community of users. This can be determined depending on a membership or registration. Such a group or community can be formed or managed, for example, using an internet or cloud platform, for example with a service of a social network and/or a manufacturer or operator of a computer program (e.g. app) and/or a corresponding service.

The value of the reference and/or the at least one mathematical relationship or the neural network used to determine or adjust the one or more parameters of the communication message (e.g. in general, or for a specific user device, for a specific person, a specific living space, for a specific number of user devices, people or living spaces, or for at least two specific, first and second user devices, people, living spaces or groups of such to which the value of the reference applies) can depend on the values determined or .stored data, information or user settings can be determined or adjusted. Information or settings can be taken into account that a user, e.g. a person, in particular a person responsible for a specific living space or who is in the living space (e.g. on their user device, in a social network, etc.) can make or change. The information or the settings can, for example, indicate consent or acceptance as to whether and how the information from the person's communication or from a communication within the living space may be used to operate the method, e.g. whether or how the corresponding data can be used on another User device or may be used in another living space to output a communication message, and / or whether, to what extent or how one or more parameters of a communication message on a specific user device, in the living space (or for the person) depending on a or more parameters in one or more other living spaces should or may be determined or adjusted.

According to a further embodiment, one or more parameters of one or more reactions are determined which occur in response to specific sections of a communication and/or to specific sections of the media content, in particular as physical impulses (of a person or of a specific person). For example, parameters of the reactions that have a certain effect or effectiveness in the sections of the communication or sections of the media content can be determined and taken into account. A parameter of the reaction can each depend on the degree of We The effect or effectiveness of a section of the communication between the media content can be determined or taken into account that triggered the reaction or with which the reaction was triggered.

In particular, a further mathematical relationship is determined between the one or more parameters of a first section of the communication and/or one or more parameters of a first section of media content and a parameter of the reactions that occur in connection with the section or sections of the communication or sections of the media content occur. In particular, the mathematical relationship is determined on the basis of several, in particular a large number, of the reactions of the people or a specific person. The one or more mathematical relationships can relate to a specific living space, a specific device, to one or more specific people or people belonging to a specific group of people. For example, when the method is executed at least at a later time interval, the further mathematical relationship determined can be used when the at least one (specific, e.g. learned) physical impulse is recognized, a determination or adjustment of one or more parameters of the at least one communication message depending on the recognition of the at least one of the specific, e.g. learned physical impulses must be taken into account.

At least two different reactions, in particular physical impulses, e.g. body language messages, microexpressions, are preferably learned and/or recognized. In particular, the interpretation of bodily impulses, in particular by certain people or people belonging to certain groups of people and/or context-specific, state-specifically, can be learned. Thereupon (respectively new, further) bodily impulses, in particular person-specific or person-group-specific, context-specific, state-specific, can be interpreted and/or taken into account. In particular, a parameter of the at least one communication message is determined or adjusted depending on which of at least two physical impulses were recognized or recognized again. The bodily impulses can be taught and/or recognized as the corresponding pattern, in particular a parameter pattern, a movement pattern or change pattern, e.g. the respective parameters of gestures, facial expressions, voice, etc. In the method, at least two different physical impulses of at least a first parson are preferably stimulated (e.g. by means of first information provided for this purpose in the vicinity of the first user device or in the first living space or by a communication message). These can be taught, recognized and/or (e.g. person-specific or person-group-specific, context-specific, state-specific), e.g. on the basis of corresponding parameters, in particular parameter patterns. Furthermore, a parameter of a second physical activity of a second person (in the vicinity of the second user device or in the second living space) can be determined and taken into account in the method. In particular, a measure of the similarity of the second physical impulse to one or more first physical impulses can be determined. A second parameter of the at least one communication message (for output on the second user device or for the second living space) can then be determined or adjusted depending on the parameter of the second physical impulse, in particular on the degree of similarity of the second physical impulse with one or more first bodily impulses, e.g. of which of at least two first bodily impulses (in the first living space and/or in the second living space) were recognized or recognized.

For example, typical patterns can be recognized and taken into account in the method for specific types of reactions of the at least one (first or second) person, e.g. a specific person or a person belonging to a specific group of people. When recognizing different bodily impulses or types of bodily impulses, e.g. body language messages, micro-expressions, and/or other, linguistic, auditory reactions of the first person, a different determination or adjustment of (specific) second parameters of the communication message can be carried out, and /or different of the second parameters of the communication message or combinations of the second parameters, in particular of different types are selected for determining or adjusting. For example, different mathematical relationships for determining or adapting the parameters of the communication message or variants of determining the communication message are applied or activated for different predefined classes (categories) of physical impulses.

In particular, several reactions, expressed as specific physical impulses, of the one or more persons are learned. The teaching can result in the output of a plurality of stimuli, in particular a piece of first information described in this document, for example one or more sections of media content or the communication message with one or more specific parameters or efficiencies, and (then) determining a corresponding parameter of the reaction, eg a pattern or recognition pattern in the parameter or parameters of the reaction of the at least one person. Such a pattern can identify, for example, a physical movement, body language, media feedback, etc. of the at least one person that has occurred once or several times as a reaction. In particular, a (taught, e.g. for a specific person or person from a group of people, a specific) pattern characterizes a certain mathematical ratio (proportion, time values, gradient) of different changes that occur in at least one person as a reaction or a reaction of a certain kind occur. Furthermore, an evaluation, in particular an interpretation of the at least one reaction of the at least one person can be carried out (e.g. in a later execution of the method) taking such a pattern into account.

For example, on the basis of one or more reactions of the at least one person to certain stimuli, in particular to the at least one first piece of information or communication message issued in the respective living space, learning data, in particular learning data assigned to the person or group of people, can be generated (determined ) become. In this case (e.g. in a later execution of the method) the determination, evaluation, interpretation and/or prediction of a parameter of a reaction of the person to a section of the communication or to a section of the media content on the basis of the determined mathematical relationships, patterns or learning data take place. A parameter of the reaction can be determined that characterizes an interpretation of the at least one reaction of the at least one person.

For example, the reaction of the at least one person in the process can, for example, be described as attention, curiosity, approval, rejection, concern, need, desire, shame, dislike, disgust, horror, fear, memory process of the person (e.g. of a comparable Information, experience, etc.) are interpreted and/or assigned to one or more corresponding categories. In this case, the at least one parameter of the reaction can be further processed in an interpreted or categorized form (which can therefore be represented mathematically in a very compact manner). For example, a subsequent reaction of at least one specific person or a person from the specific group of people can be interpreted or assigned to one or more specific categories, e.g. depending on the learning data. The learning data characterizing certain patterns (recognition pattern, recognition pattern, interpretation pattern) for evaluating the reaction of at least one person for a (later) evaluation (interpretation, interpretation) of the reactions of a person, a specific person or a person belonging to a specific group of people can Methods (e.g. based on the output of the first information and a subsequent evaluation of the reaction) are generated. Alternatively or additionally, such learning data can be determined, e.g. imported, read in from another application.

For example, further learning refers to the determination of a (scientific, mathematical) connection between a parameter of one or more physical impulses of a person, which depends on certain patterns of gestures and/or facial expressions and/or lip movement and/or eye movement, e.g. the corresponding Microexpressions are, and within a certain time interval taking place (concomitant or subsequent) communication, in particular the speaking of the person. The term "speaking" can be at least a specific (communication) transaction or a transaction of a specific type within said communication. The corresponding learning data can be taken into account in the method, in particular for the interpretation, prediction of an effect of certain sections of a communication, a media content and/or a communication message with certain parameters.

According to an optional refinement, certain key words, word sequences and/or mimic patterns, patterns of physical movements of at least one person (eg a specific person) are learned in the vicinity of a user device or within the respective first living space. The corresponding parameters can be assigned to different reactions of the person to the at least one piece of first information. The corresponding learning data can be taken into account when evaluating, in particular interpreting, the reaction (eg a further, later reaction) of the at least one person or a person belonging to a specific group of people. The keywords can be words from a specific list, e.g. nouns, adjectives, specific interjections, etc. Corresponding learning data can be generated in the process. Learning data can be determined and/or taken into account in the method on the basis of several sections of the communication involving a specific person, a communication between two specific people or a communication between the people belonging to specific groups of people. Learning data based on a Variety of communications between at least two people from different living spaces or houses are compared, and appropriate aggregated learning data are generated. Corresponding data can be compared or aggregated in a remotely arranged computing unit, for example in a cloud or server. The resulting adjusted or aggregated learning data can then be made available for a further execution of the method. For example, recognizing a willingness to communicate, determining a priority measure of a section of the communication (e.g. a transaction or a communication message) or associating or assigning a spoken message and/or a physical impulse of a person with a specific event (event), need, Intention, emotion, depending on the learning data determined, generated and/or made available in the environment of a (specific) user device in a (specific) living space. An association or assignment can take place, in particular, taking into account a currently determined scene.

In particular, the method includes a comparison between a physical impulse recorded in the past, e.g. a specific facial expression, gesture, lip movement, microexpression, and one or more (various, described in this document) parameters of a subsequent reaction, e.g. the words used as a result, Word sequences, linguistic structures, transactions of certain types, voice parameters, aspects of a communication message, etc. In particular, one or more parameters from the past can be taken into account that indicate a causal dependency and/or a time interval between a certain bodily agitation, e.g. patterns of bodily agitation and Parameters of a communication taking place at the same time, within a certain time interval or subsequently, e.g. the content of the communication, words used, word sequences, linguistic structures, transactions of certain types, body language, tone, undertone, voice, communication behavior, etc.), an aspect of a mark the communication message. Such a comparison can be determined in the method in a person-specific and/or group-specific manner depending on said communication between at least two people and/or taken into account when generating at least one auditory message and/or when adjusting at least a section of the further audio signal. For example, the comparison or data determined from the comparison (qualitative and/or quantitative values or relationships between the parameters) can relate to specific people or people belonging to specific groups of people. As a result, data determined during the comparison can be taken into account in a later execution of the method, in particular depending on the recognition of the person or person from the specific group of people.

A parameter of the scene recorded in a respective living space is preferably assigned to at least one further parameter of said communication and processed in the method. In particular, at least one parameter of the scene characterizes an arrangement of at least two said persons involved in the communication or affected by the communication in the living space, in particular a relative position, orientation, poses, activity performed, an interaction between the persons, etc. Preferred a scene includes at least one parameter characterizing a physical orientation of at least two people in relation to each other, in particular a relative orientation and/or an action of at least one person in relation to another person. A parameter of the scene can also characterize a change or a dynamic or a sequence of the change in the scene. The change in the scene or action within the scene can be detected using image processing, object recognition and the like. In the method, the scenes are preferably classified and/or learned, in particular the typical scenes that occur in a living space or in the specific living space that frequently occur. A determined parameter can identify an action currently being carried out or predicted by at least one person. For example, certain actions that are frequently performed, or actions that match certain patterns on the basis of predetermined characteristics, can be recognized or recognized as such and taken into account. At least one or more parameters of the at least one communication message can then be sent on the second user device or within the second living space depending on a (second) recognized scene (recognized there), in particular on the recognized class of the scene and/or on a qualitative or quantitative parameter of the Scene to be determined or adjusted.

One or more parameters of the communication and/or the reaction of the one or more persons to a section of the media content are preferably processed depending on the current or corresponding parameter of the scene in the environment or in the same living space. A parameter of the scene within the first living space can be taken into account when determining or adjusting the one or more parameters of the communication message. This can be done, for example, by the parameters of the communication and / or the reaction of one or more people depending on is evaluated or taken into account with the corresponding parameter of the scene. For example, a (in particular content-related, stylistic, body language, etc.) parameter of the communication and/or the reaction of the one or more person to a section of the media content within the first living space can depend on the respective (on the same and/or on a previous time interval )-related parameters of the scene are evaluated, in particular interpreted. In this case, the corresponding parameter values can be normalized according to a parameter of the scene, calculated with a predetermined or dynamic factor dependent on the parameter of the scene, for example scaled. A determined parameter of the scene can be taken into account as a further input variable in the mathematical context.

For example, a parameter of a section of the communication and/or the person's reaction to a specific section of the media content can be processed, in particular interpreted, according to a predetermined dependency on the one or more parameters of the (e.g. previously prevailing) first scene within the first living space. For example, one or more of the first parameters can be evaluated, in particular interpreted, differently in terms of quality and/or quantity depending on the first scene. Alternatively or additionally, one or more of the second parameters of a communication message can be determined or adjusted differently in terms of quality and/or quantity depending on the second scene. In an example of the method, the one or more parameters of a particular portion of communication and/or response to the particular portion of media content in a first living space may already take into account a corresponding parameter of the scene in the respective first living space.

According to an optional embodiment, an emotion and/or intention, in particular at least one class of the emotion, and/or an intention, in particular at least one class of the intention of at least one or more first persons and/or at least one second person (e.g. the person in the first Living space and/or in the second living space) or estimated and taken into account according to predetermined criteria (preferably by means of the at least one correspondingly trained and/or operated neural network). For example, a parameter (in particular content, style, body language, etc.) of the communication and/or the reaction of at least one person to a section of the media content in the first living space can depend on the respective (to the same and/or to a previous time interval related) parameters of the emotion and/or intention of the respective person are processed. A first parameter of the emotion and/or the intention of the one or more first persons can be taken into account when determining or adjusting the one or more parameters of the communication message (on the second user device, within the second living space, for the at least one second person). This can be done, for example, by evaluating the one or more first parameters of the communication and/or the reaction of the one or more first persons depending on the (corresponding, temporally or causally appropriate) parameter of the emotion and/or the intention of the respective first person or be taken into account.

For example, a (in particular content-related, stylistic, body language, etc.) parameter of the communication and/or the reaction of the at least one first person to a section of the media content within the first living space can depend on the respective (to the same and/or to a previous time interval related) parameters of the emotion and/or intention are evaluated, in particular interpreted. The corresponding parameter values can be normalized according to a parameter of the emotion and/or intention, offset against a predetermined or dynamic factor dependent on the parameter of the emotion and/or intention, e.g. scaled. A determined first parameter of the emotion and/or intention can be taken into account, for example, as a further input variable in the said mathematical context.

For example, a parameter of a portion of the person's communication and/or response to a particular portion of the media content may be processed according to a predetermined dependency on the one or more parameters of the (e.g., to-date) first emotion and/or intention of the at least one first person , in particular to be interpreted. In an example of the method, the one or more parameters of a specific section of the communication and/or the reaction to the specific section of the media content in a first living space can already be a corresponding parameter of the emotion and/or the intention in the environment of the respective first user device or user device .in the respective first living space.

Then at least one or more parameters of the at least one communication message (in the vicinity of the second user device or in the second living space) depending on a or more recognized emotions or intentions of the one or more first persons, eg in the surroundings of the first user devices or within the one or more first living spaces), in particular from the recognized class of the emotion or the recognized class of the intention and/or from a qualitative or quantitative parameter of the emotion or intention of the one or more first persons.

In other words, the one or more parameters of the communication and/or the reaction of the at least one person to a section of the media content can be evaluated, in particular interpreted, e.g. taking into account a context in the corresponding living space or related to the context , trade parameter(values). The evaluation, in particular the interpretation of the at least one section of the communication or at least one reaction of at least one person within the first living space, can take place depending on the scene in the living space, on the emotion and/or intention of the person concerned. In particular, the method can be used to teach (e.g. determine learning data) various parameter patterns, specific parameters of the voices and/or specific physical impulses with or without taking into account a recognized scene, in particular the at least one specific class of the corresponding scene. Such learning can relate to features that are characteristic of specific people or people belonging to specific groups of people, e.g. are statistically typical.

In particular, a second parameter of the emotion, characterizing an emotion of one or more people in the vicinity of the second user device or within the second living space, can be determined and taken into account. A comparison of the second parameter of the emotion of the at least one second person with the one or more first parameters of the emotions of the one or more first persons is preferably carried out in the method and the result of the comparison is taken into account in the method. For example, a parameter of the communication message can be adjusted differently, in particular after a changed function, e.g. more strongly if the second parameter of the emotion has a high degree of agreement or similarity with one or more of the first parameters of the emotion. For example, said emotion recognition and/or intention recognition can be carried out in particular with a camera (located in the vicinity of the user device or within the corresponding living space), in particular belonging to the system described in this document or networked (with the system or with the corresponding user device). to be executed. For example, the detection of at least one parameter of the emotion (e.g. relating to a change in the emotion) and/or the intention of at least one person (involved in the present communication) can be based on the evaluation of the time course of the facial expressions and/or gestures and/or eye movements, Micro-expression of the person concerned, with or without taking into account another physical emotion with or without comparison with the at least one parameter of the auditory communication.

For example, a parameter of at least one (first or second) emotion of a (first or second) person can identify an association (e.g. dependent on matching, similarity and/or dissimilarity) with one or more classes and/or intensities of emotions. Two to seven (simplified, e.g. distinguishable based on the physical impulses) classes of emotions can be defined, e.g. representative for or roughly corresponding to: a relatively neutral attitude, joy, affection, ecstasy, desire, enthusiasm, aversion, annoyance, fear , pity, sadness, etc. For example, the parameter of at least one (first or second) intention of a (first or second) person can be assigned (e.g. depending on matching, similarity and/or dissimilarity) with one or more classes and/or Identify intensities of intentions. Two to seven (simplified, e.g. distinguishable based on the physical impulses) classes of intentions can be defined, e.g. representative or roughly corresponding to: readiness for an action or a reaction, readiness for a (specific) movement, for a specific action or to a certain type of action, a passivity or no existence of an intention, etc. are recognized and taken into account. A (first or second) emotion, in particular a measure of the emotions or a class of the emotion, can preferably be determined and taken into account depending on the occurrence or measure of one or more of two to seven of so-called universal emotions in an emotion. The emotion can, for example, be expressed or taken into account as a respective parameter (related to the two to seven of the universal emotions), in particular as a weighting of the two to seven of universal emotions within the first or second emotion. In particular, the universal emotions essentially correspond to: disgust, anger, fear, sadness, joy, surprise and contempt.

According to an optional embodiment, the at least one neural network is trained and/or operated to measure the applicability and/or the probability of success of a communication tion message with a plurality of second parameters (values) specific or corresponding to a pattern or one or more variants of determining or adjusting one or more parameters of the at least one communication message, in particular at one or more specific time intervals. This can be taken into account in the procedure, for example in the further course of the procedure. One or more variants of determining or adjusting one and/or more parameters can then be selected (or changed) or at least one alternative measure can be selected with regard to the communication message or the (information) content to be transmitted with the communication message.

The extent of said applicability and/or the probability of success can be determined according to predetermined criteria, e.g. taking into account at least one optimization criterion. In particular, the probability that the generation and/or perception of at least one communication message, in particular an interpretation, understanding, etc. of the media message on the second user device or in the second living space was not successful, is or (e.g. at least probable ) will be and/or the degree of applicability of one or more specific variants of determining or adjusting one or more parameters of the auditory message is determined and taken into account.

The extent of said applicability and/or the probability of success can be determined or taken into account, at least in part, predictively, e.g. on the basis of historical data. A result of the generation of a communication message can be simulated shortly before, during or after the generation of the communication message and compared with at least one predetermined condition, preferably a (current, valid, preset) optimization criterion. For example, a measure of the effect or effectiveness, alternatively or additionally, a measure of perceptibility and/or comprehensibility of the at least one media message in a specific spatial area of a specific second living space and/or for a specific person can be determined and taken into account. In the same way, a measure of said applicability and/or the probability of success in relation to the output of at least a section of the further audio signal, which is to be output in particular during or in the same certain time interval with the generation of the communication message, can be determined and taken into account. One or more parameters of the communication message and/or of the additional audio signal can then be appropriately adjusted.

According to an optional refinement, the at least one parameter of the communication processed in the method represents a content-related, in particular thematic, feature of the communication. A content-related feature can, for example, be characteristic of the communication messages or certain connections between the communication messages (e.g. consecutive communication messages belonging to a communication). The content feature of a communication section can be determined or taken into account depending on the recognized or preset language, a context of the communication section and/or history of the communication section, a recognized scene or a parameter of the scene in the respective living space. The content feature does not have to correspond to the content of the communication or the communication messages. In particular, the content-related feature can only or primarily only identify one or more content-related, in particular thematic, features of the communication without reproducing the communication itself or the content itself. A content feature or a parameter of the content feature can be expressed or processed as an (at least rough) identifier of a class characterizing one or more categories of content or topics, a certain pattern of the features of the content, etc. In comparison to a complete content of the communication or the section of the communication, the content-related feature can be determined and processed as a very compact set of values.

At least one feature of the content of said communication can be based on sensor data, a history, e.g. in connection with one or more earlier communications in the respective living space or communications involving certain people, e.g. at least one or more specific people and/or taking into account a probability calculation , be determined. For example, at least one content-related feature of a current or forthcoming communication can be predicted by comparing or offsetting a large number of content-related features and/or one or more content-related parameters from the history and/or from other first living spaces. Such a comparison can be carried out in the method, e.g. by means of or within the arithmetic unit arranged at a distance.

Alternatively or additionally, an (at least simplified) content-related evaluation, in particular analysis, of the first communication (in the vicinity of the one or more first user devices or within the one or more first living spaces) can be carried out in the method and taken into account in the method. For example, a (later) interpretation of further sections of further (first or second) communications and/or the first reactions of the at least one person in the one or more first living spaces and/or in a second living space, depending on the evaluation of the content, in particular the Analysis, are carried out, whereby the respective content of the communication is not (must) be stored or (explicitly) reproduced as such. For example, an analysis can include the relationships that occur particularly frequently or particularly rarely on the one or more first user devices or within the first living spaces, eg between media content, scenes, communications, governments of at least one first person. The parameters of the communication message can be determined or adapted depending on the relationships determined.

For example, depending on an evaluation of the content, in particular an analysis, of the first communication (in the vicinity of the one or more first user devices or within the one or more first living spaces), one or more parameters of the at least one communication message (in the vicinity of the one or more second user devices or in the one or more second living spaces), e.g. on the basis of voice generation or image generation, the communication message representing a content or context that is essentially independent of the one or more communications (thematic, logical, causal). . For example, one or more aspects of one or more corresponding communication messages can be determined as a parameter or content-related feature of a section of the communication. For example, the parameter of the communication can indicate whether or to what extent or to what (respective) extent the communication, e.g. a section of the communication, includes a so-called self-disclosure, an appeal, a factual aspect, a relationship aspect.

For example, the choice of words and/or the intonation and/or a meaning reproduced with the undertone and/or at least one aspect of a communication message of a section of a communication message comprising a voice message, depends on the determined content-related feature of the one or more first communications in the environment of the determined or adjusted in one or more first user devices or in the one or more first living spaces.

For example, depending on one or more parameters of one or more portions of the one or more first communications (in the vicinity of the one or more first user devices or in one or more first living spaces), one or more (selected) aspects of one in the at least one second living space by means of the communication message to be influenced or generated, in particular currently or in the near future to be generated communication message can be determined or adjusted. For example, the content, a quantitative and/or qualitative parameter of an aspect of at least one communication message generated as part of the communication message, e.g. characterizing an aspect of a so-called self-disclosure, appeal, factual aspect, relationship aspect of the communication message can be determined or adjusted. It can also be determined for a section of a first communication and/or a second communication whether or to what extent or to what extent these include a self-disclosure, an appeal, a factual aspect, a relationship aspect. On the basis of the determined (first and/or second) parameters, a prediction of a further communication course of a second communication and/or a forward-looking generation of the communication message, determined in particular as a function of the prediction, can be carried out with specific or adapted parameters.

For example, parameters characterizing the corresponding aspects of the communication messages can be assigned to different sections of the (first or second) communication. The parameters can, for example, characterize the occurrence or proportion of a self-disclosure, an appeal, a factual aspect, a relationship aspect in the sections of the (first or second) communication. For example, a parameter is (each) determined for a large number of (specific) sections, e.g. transaction, of the (first or second) communication. The result can be used to train the neural network or as a (first or further) parameter in the method.

For example, taking into account a parameter of the communication, in particular a content-related feature of the communication section, and/or the parameter of the reaction of the at least one person to the communication section, depending on the parameter or the aspects of the corresponding communication messages (e.g. the occurrence or proportion of a self-disclosure, an appeal, a factual aspect, a relationship aspect). For example, the characteristics of the content of the sections of the communication and/or the corresponding reactions of the one or more first persons (in the vicinity of the one or more first user devices or within the first living space) when the communication message is output on a second user device or in a second living space determined or adjusted depending on the parameter of the respective portions of the communication indicative of one or more aspects of the one or more communication messages.

For example, the at least one neural network can be trained and/or operated in order to determine or adapt a level of detail of a communication message comprising a voice message (on the second user device or in the second living space), in particular dynamically. For example, a (dynamic) reduction of content to be transmitted with the communication message and/or an expansion of the content, in particular an addition of further content to a communication message, can be carried out. The reduction and/or expansion of specific linguistic structures, e.g. corresponding to specific content to be transmitted, can be carried out. For example, dependent, downstream, or nested linguistic structures of one or more auditory messages contained in the communication message are formed or assembled. The level of detail can depend on the one or more first parameters of the communication and/or the reaction of the one or more first persons (in the vicinity of the one or more first user devices or in one or more first living spaces) to the (issued there) be media content.

If, for example, a rather bored, impatient or annoyed reaction to at least one voice message is detected in several first living rooms, a parameter of a communication message comprising an approximately identical or similar voice message can be determined or adjusted, in particular with foresight. In such a case, in particular, a parameter that is characteristic of a level of detail of the voice message can be determined or adjusted. Furthermore, a parameter of the context of a (second) communication and/or the (second) scene in the environment of the second user device or the second living space can be taken into account. A communication message dependent on the context of the second communication between at least two people in the second living space and/or on the scene in the second living space, in particular in a predetermined relation to the context of the communication or to the scene, can be generated.

For example, for the same (specific) cause or event, more or less detailed linguistic information can be generated within one or more communication messages, with a degree of detail depending on one or more of the first parameters (e.g. from the environments of several user devices or from one or more first living spaces) is determined or adjusted.

For example, a content-related parameter of the at least one communication message, in particular a voice message, is determined, in particular adjusted. A (dynamic or continuous) determination or adjustment of one or more content-related parameters (one or more corresponding parameter values) of one or more sections of a voice message generated in the method preferably takes place depending on one or more parameters of the (at least partially in the past and/or at least partially in the same time interval) taking place first communication (e.g. in a first living space) and/or a second communication (e.g. in the second living space). In this case, one or more parameters of the speech generation and/or a simulation of body language for generating or outputting the communication message can be determined or adapted. For example, a section of a communication message comprising a voice message, depending on a determined content feature (topic references, choice of words, keywords, etc.), a linguistic feature (linguistic parameters, sentence structure, and/or body language of the one or more communications between (each ) at least two (first) persons (e.g. on several different first user devices or in several different first living rooms) can be determined or adjusted.

For example, at least one neural network can be trained and/or operated around an association rule, association logic, or a database characterizing or representing more or less strong, in particular differently strong (association) assignments (e.g. as different strong associations) between several (various, different) topics, words, typical sentence structures, etc. to be determined and/or taken into account. The association rule or association logic (association) assignments can, for example, have different strengths of association between words, topics, meanings, in particular from the sections of a first communication and/or the second communication on the one hand and (specific) conceptual, linguistic, phonetic or visual frames of reference , contexts, categories, etc... on the other hand.

The at least one neural network can be trained and/or operated in order to determine or adapt one or more parameters of the communication message, taking into account a large number of the parameters from several first communications in one or (preferably) several first living spaces or surroundings of the first user device. At least one neural network is trained and/or operated so that no precise or unambiguous conclusions about the (complete or individually interpretable) content of a specific first communication is necessary and/or possible. Depending on a predicted parameter of the communication between the two first persons, one or more parameters of the communication message (for the second user device or for a second living space) can be determined or adjusted, in particular at least partially with foresight. The generation, in particular the output of the communication message, can exceptionally (also) be carried out before the end or before the start of a section of a first (verbal or body language) communication.

For example, depending on the parameters determined in the method, the content of at least a section of the communication message can be reduced, certain content can be omitted, further content can be added to a communication message (to be output, previously determined) and/or certain contents of the communication message can be replaced. A content-related handling or detail, a communication message that includes a generated voice message, e.g. the use of descriptive words, adjectives, filler words, subordinate clauses, nested linguistic constructs, interjections, the aspects of a communication message that have already been described, etc. or one belonging to the communication message Replication of a body language expression, to be determined or adapted.

Various content-related, thematic, linguistic parameters of a section of a communication message that is generated as a voice message (e.g. generated by means of speech synthesis) (e.g. after a predetermined, depending on the parameters of the first communication in one or more first living rooms and/or on the Parameters of the second communication in the second living space, e.g. logic or law stored in the mathematical context) are determined or adjusted. The content of the communication message depends in particular at least partially or at least predominantly not or not directly on the content of the one or more first communications (in the vicinity of the one or more first user devices or in the one or more first living spaces), and/or with the content of the second communication (in the vicinity of the second user device or in the second living space). For example, the method can be carried out without there being a thematic, logical or causal dependency between the contents of the first communication and the second communication (or vice versa), or such dependencies can be disregarded or their influence can be prevented.

Preferably, a comparison between a content and/or linguistic evaluation or analysis of one or several sections of the (first or second) communication and an evaluation of one or more accompanying (at a time interval of approx. 1, 3, 5, 10 seconds) with the one or more sections of communication taking place physical emotions of the one or more first persons, for example an evaluation of one or more patterns of physical movements or one or more parameters of the body language of the one or more first persons is performed. The result of the comparison can be taken into account when determining or adjusting one or more parameters of the communication message (to be generated in the vicinity of the second user device or in the second living space) or when changing the mathematical relationship.

A predictive determination or adjustment of one or more parameters of the communication message, in particular a text message, voice message, image message, can expediently be carried out in the method. For example, the one or more (second) parameters of the communication message, in particular a section of the communication message, at least partially 0.5-10 seconds before it is generated, in particular before the section of the communication message is generated or adjusted. In particular, determining or adjusting the one or more parameters of the communication message can be carried out in two or more steps. For example, one or more parameters of the communication message can first be determined, eg a comparatively rough one, and an effect or effectiveness of the section of the communication message on a second person, eg a specific second person or a second person belonging to, can optionally be determined in advance a specific group of people, and adjusting one or more parameters of the communication message, in particular depending on a previously determined effect or effectiveness.

According to an optional embodiment, the at least one neural network is trained and/or operated in order to determine or adjust one or more time parameters for the output of the at least one communication message, in particular several sections of a communication message. At least two alternatively applicable time parameters, for example the at least two alternative time parameter variants, output one or more sections of the communication message can be determined and then at least one of the at least two time parameters or the two time parameter variants selected according to predetermined criteria. For example, time parameters for generating or outputting a number of sentences, subordinate clauses, certain word sequences of a voice message (e.g. on the basis of information to be output) can also be determined. In an example of the method, data for two or more variants of a voice message or a section of a voice message can be determined, in particular at least a few seconds before the voice message is output. Furthermore, the at least two variants can also be or include alternative variants of a communication message. In other words, data on the content, channels of a multi-channel multimedia signal, linguistic structures, word sequences or sections of a communication message to be output as an alternative or in addition to one another can be determined at least partially in advance, e.g. 0.5-10 seconds before their respective output, with the decision via the output of at least one of the section, content, channel of a multi-channel multimedia signal, a linguistic structure, a word sequence, in particular a selection of one of several variants of these, and/or one or more (further) parameters for the output of one or more of these at a later point in time, depending on the parameters determined in the process.

In the context of this description, the term "time parameter" can indicate an (absolute or relative) point in time for the output, in particular at the beginning and/or end of the output of the communication message, a duration, or preferably a specific time interval for the output of at least a section of the communication message. Alternatively or additionally, at least one time parameter for outputting at least a section of the communication message can include an (absolute or relative) point in time, in particular the beginning and/or the end or the duration of a time interval for the output of the communication message, in particular a specific section of the communication message not suitable for a specific content. At least one section of the communication message can then be generated taking into account one or more such time parameters. For example, in the method, a time parameter comprising two times (for the beginning and/or for the planned end) and/or a variable representing a time and the duration of the output can be determined for one or more media sections of the communication message.

For example, one or more time intervals, e.g. represented by a point in time and/or duration, are determined which are required to generate at least a specific section of a communication message and/or one or more sections of the additional media content (in the vicinity of the second user device or in the second living space) are suitable and/or unsuitable for a certain period of time. The time parameter for outputting one or more sections of the communication message can then be determined from the determined time intervals. It can be taken into account whether these are (more or less, in particular in a quantitative measure) suitable and/or unsuitable for outputting a (specific) section of a communication message. In a simplified case, the suitable points in time or intervals can be determined from the points in time, as well as the points in time that are not suitable.

Alternatively or additionally, a time parameter of the communication message that is to be determined or adjusted can relate to at least one event (event) relating to the second person or the second living space, in particular a previously determined event and/or an event of a specific type or an event with a specific priority level or be obtained. Preferably, it can be a Event concerning the at least one second person in the context of the second living space or a person present therein. Such an event (event) can be a telecommunications signal or it can be determined from an Internet service or from data from a home network. For example, the time parameter can indicate a time frame in relation to a specific event or an event of a specific type. For example, a time parameter can be determined that indicates that a communication message should be output no earlier than a specific time value and/or no later than a specific time value, with the time value being able to relate to a specific event. Such a time value can be expressed, for example in relation to the event or time units, for example in seconds.

A further expedient embodiment provides that the at least one neural network is trained and/or operated in order to sequence at least two media outputs, in particular representing at least two different contents, depending on a determined, preferably predicted parameter of the second communication, in particular a communication project and/or or a voice of at least one person and/or a recognized scene in the second living space. For example, media outputs representing several different contents to be output can be generated in such a way that the corresponding data sections for outputting respective sections or data sections each representing different contents are read in or output at least partially in a changed order.

At least one neural network can also be trained and/or operated in order to select the sequence of the sections of a communication message in such a way that the similarity, compatibility, or a predetermined (e.g. logical, content-related) relation to at least two sections output in succession (one or more to be output Audio signals, auditory messages) is enlarged and/or sections that are not sufficiently similar, explicitly dissimilar or not (also thematically) compatible with one another are not output one after the other.

For example, at least one neural network is trained and/or operated in order to determine or adapt the order in such a way that relatively hard transitions between at least two contents are avoided and/or a similarity, compatibility, or a predetermined (e.g. logical, content-related) relation to of the at least two sections output one after the other, in particular in a specific way) is changed, e.g. enlarged. The similarity, compatibility or other criteria that can be used in this context can, for example, be stored and/or determined according to a predetermined logic or stored association connections. The determination of said sections and/or the determination or adjustment of the order can be a stored association rule, association logic, a database representing (certain, in particular different strong) different strong (association) assignments between various (possible or to be output with the communication message). ) content, sources, information on the one hand and topics, words, typical sentence structures, communication behavior patterns, conceptual, linguistic, phonetic or visual frames of reference, contexts, categories, etc... on the other hand.

According to an optional embodiment, the at least one neural network is trained and/or operated around the at least one communication message paused and/or divided into at least two sections, or two contents to be output as an auditory message are combined or (e.g. in a communication message) combined, depending one or more parameters determined in the process from the first living space and/or from the second living space. For example, depending on a parameter of a second communication (e.g. depending on a content-related parameter of the communication), a communication message (already as at least partially determined content or data sections) to be output can be paused. A communication message can be paused in particular depending on a suitable point within the communication message. After the end of a section of the verbal communication within the living space, e.g. after the end of a phrase, one or more transactions within the verbal communication, the communication message, e.g. the message, can be reproduced in particular from the same place or, or new, possibly in in an updated form, or at least in part, repeated to a reasonable extent.

• - ein sofortiges Pausieren, ein Pausieren nach Ende eines Satzes, einer Phrase oder einer bestimmten linguistischen Struktur;
• - ein Aufteilen des mittels der Kommunikationsbotschaft zu übermittelnden Inhalts, z.B. auf zumindest zwei Kommunikationsbotschaften, wobei diese bevorzugt bei jeweils zumindest zwei unterschiedlichen Bedingungen ausgegeben werden;
• - ein Verändern, insbesondere ein Bestimmen einer Reihenfolge zur Ausgabe zumindest zweier medialer Ausgaben oder Abschnitte einer oder mehrerer Kommunikationsbotschaften;
• - Zusammenfügen oder Kombinieren zumindest zwei auszugebender Inhalte in einer Kommunikationsbotschaft oder nacheinander auszugebende Abschnitte einer Kommunikationsbotschaft. Dabei können z.B. zwei auszugebende Inhalte in einer linguistischen Struktur oder in zumindest zwei zusammenhängenden linguistischen Strukturen kombiniert werden;
• - Zusammenfügen oder Kombinieren zumindest einer Kommunikationsbotschaft und eines Abschnitts des einen oder mehrerer weiteren Audiosignale. Dabei kann die zumindest eine auditive Meldung und ein oder mehrere Abschnitte zumindest eines weiteren Audiosignals zu einem Raumklangsignal oder einem mehrkanaligen, z.B. entsprechend kodierten, Audiosignals, z.B. zu einem Multiraum-Audiosignals zusammengefügt oder kombiniert werden;
• - Kürzen, Verändern oder Ergänzen der Kommunikationsbotschaft;

Dabei kann zumindest ein (im Verfahren bestimmter oder angepasster) Parameter der zumindest einer Kommunikationsbotschaft eine oder mehrere Anweisungen (Instruktionen) zur Ausführung der vorgenannten Aktionen umfassen.For example, depending on the type and/or content of the verbal communication, the scene and/or the condition, emotion or intention of the at least one second person in the environment of the second user device or within the second living space one or more entries from the following list are executed:

• - an immediate pause, a pause after the end of a sentence, phrase or certain linguistic structure;
• - Splitting the content to be transmitted by means of the communication message, for example into at least two communication messages, these being preferably output in the case of at least two different conditions in each case;
• - a change, in particular a determination of an order for the output of at least two media outputs or sections of one or more communication messages;
• - Joining or combining at least two contents to be output in a communication message or sections of a communication message to be output one after the other. In this case, for example, two contents to be output can be combined in one linguistic structure or in at least two related linguistic structures;
• - Joining or combining at least one communication message and a section of the one or more further audio signals. The at least one auditory message and one or more sections of at least one further audio signal can be joined or combined to form a surround sound signal or a multi-channel, eg correspondingly encoded, audio signal, eg to form a multi-room audio signal;
• - Shorten, change or supplement the communication message;

At least one parameter (determined or adapted in the method) of the at least one communication message can include one or more instructions for carrying out the aforementioned actions.

Furthermore, at least two sections of a video signal to be output can be joined or combined (in an analogous manner). Any suitable form of joining or combining can be determined in the process.

One or more communication messages and/or one or more sections of the further media content to be output, e.g. audio and/or video signal, can be seamlessly attached to one another and provided with a defined transition, e.g. a transition effect. At least one section or at least two such sections of the communication message and/or the audio signal to be output can be previously stopped, paused, divided, and/or buffered and/or queued sections of the audio signal to be output or data for outputting the act at least one auditory message.

For example, a first part of the communication message can be generated on the basis of signals, sections and/or content that is at least predominantly not dependent on or not in real time or not causally dependent on the one or more parameters of the communication within the first living space and/or on the one or several parameters of the reaction of at least one person to media content within the first living space are dependent. A second part of the communication message can in turn be generated on the basis of signals, sections and/or content, which are derived at least predominantly or essentially in real time from the one or more parameters of the communication within the first living space and/or from the one or more parameters of the Response of at least one person to a media content within the first living space are dependent. The first part and the second part can be determined variably, e.g. in a predetermined dependence on the one or more parameters of the communication within the first living space and/or on the one or more parameters of the reaction of at least one person to media content within a first living space or be adjusted.

According to an optional embodiment, the at least one neural network is trained and/or operated in order to transmit the at least one voice message (which forms at least part of the at least one communication message) to the second user device or in the second living space depending on a content-related, in particular linguistic parameter of the Adapting communication in one or more first living spaces linguistically, stylistically, in terms of an output voice and/or pitch and/or undertone. In this case, for example, one or more parameters of the at least one communication message relating to the output voice and/or a desired linguistic structure and/or the pitch the voice message, the undertone, the rhythm of the voice output, etc. are determined or adjusted, in particular dynamically controlled.

At least one neural network can also be trained and/or operated in order to convey a certain emotion and/or a virtually generated state of the person known per se from the area of personal communication with the communication message, e.g. a so-called “I state”, e.g represented by the voice control application or a virtual assistant (to be understood also: to express). Such a state of an avatar (operated in a second living space or on the second device) can be represented by determining or adjusting one or more parameters of the communication message, e.g. a parameter of the output voice, pitch, undertone, choice of words.

For example, the communication message can include a physically represented (e.g. visually simulated or physically executed) physical emotion, a body language expression (facial expressions, gestures, poses or specific changes in facial expressions, gestures, poses, micro-expressions). This can be generated at least partially separately or together partially together with the sound waves or images of the communication message on the second user device or in the second living space. For example, one or more voice messages comprehensive communication message depending on the determined content feature of one or more first communications according to a predetermined logic or regularity stylistically, in terms of their voice and / or their pitch and / or an undertone and / or a communication behavior, from which these are marked, determined or adjusted. The content of the communication message may not include any parts of said first communication, may not be part of said first communication, and/or may not be related to the one or more first communication in terms of content, logic or time.

For example, the at least one neural network that is trained and/or operated to adjust the pitch and/or the content of the communication message comprising a voice message in such a way that an expedient, e.g. a more or less polite, stylistically appropriate insertion into or between a in the second living space any ongoing communication takes place. Furthermore, one or more parameters of the at least one communication message, in particular the voice message, can also be determined as a function of the content, genre, melody, speech type of at least one section of the further audio signal (to be output in almost the same time interval in the vicinity of the second user device or within the second living space). or be adjusted. For example, a communication message, e.g. one or more voice messages, can be sent depending on the determined content feature of the communication taking place in the vicinity of the second user device or in the second living space and/or the communication to be output (reproduced shortly before, currently output or in the near future in the Environment of the second user device or in the second living room possibly ready to output) audio signal according to a predetermined logic or regularity stylistically, in terms of their voice and / or their pitch and / or an undertone and / or a communication behavior of which these are characterized .

For example, a communication message can be generated in the second living space, the content of which is determined in response to an event in the second living space or with a content that is determined in response to an event in the second living space. In such a case, too, at least one parameter of the communication message in the second living space can vary depending on the one or more parameters of the communication within the one or more first living spaces and/or on the one or more parameters of the reaction (each) of at least one person to a Media content may be determined or adjusted within the one or more stationary living spaces. For example, the at least one auditory message can be generated in the second living space, which comments on at least a portion of a communication in the second living space (in a predetermined manner) and/or information, content associated with a content of the communication in the same second living space according to predetermined criteria , answers includes. The comment, the associated information and/or content, depending on the one or more parameters of the communication within the one or more first living spaces and/or on the one or more parameters of the reaction (each) of at least one person to media content within of the one or more stationary living quarters, can be determined or adjusted.

Determining or adjusting one or more parameters of the communication message, in particular comprising a voice message, taking into account a personality model dells, a communication model, for example a model based on a so-called transaction analysis, a so-called stimulus-response model (SR model) and/or a Riemann-Thomann model. For example, one or more of the parameters relating to one or more specific persons or persons belonging to a specific group of persons can be determined and taken into account in the method.

For example, so-called “ego states” of a person that are known per se from the area of personal communication and the corresponding typical actions, reactions, gestures, words can be taken into account or reproduced (e.g. based on the corresponding contexts or within the framework of the model), in particular be simulated. For example, in the method, an active state, e.g. "I state", "ego state", or a state transition from or to a state of at least a first person or a second person is recognized or, e.g. predicted by means of said model and taken into account in the process.

For example, an "ego state" of a virtual personality, e.g. a virtual assistant, is selected in such a way that a certain ego state of a second (real) person is influenced or stimulated. For example, an ego state of a second person can be influenced during a (possibly only subsequent) transaction with the further second person or with respect to the virtual personality, in particular according to predefined criteria. For example, a parameter of the at least one communication message characterizing a state or state transition of the personality model or avatar from which a section of the communication message is generated can be determined or adjusted. For example, at least one neural network can be trained and/or operated to output a section of the communication message in an emphatic or “calm” tone or in a serious or pointing or a “clear” tone, depending on the state of the second person (in relation to the second communication with another second person or when communicating with the virtual personality). A state or state transition corresponding to a goal or target value, for example, can be sought. Sections or parts of the communication message can preferably have a pointing, caring, critical, empathetic, ironic, joking, appreciative, pitiful, or relatively neutral tone and/or communication behavior, in particular adaptively, e.g. by determining or adjusting the parameters in language generation, be varied. Appropriate expressions, choice of words, behavior and simulated body language messages can also be selected or generated.

Preferably, the at least one neural network can be trained and/or operated around a state or state transition, in particular relating to an emotion, need, behavior, e.g. communication behavior, of the avatar or the language generation, in or from which the one or more communication messages ( e.g. voice messages) are generated according to a predetermined, e.g. mathematically mapped model, e.g ) and/or to determine or adjust depending on one or more current or predicted states (“ego states”) of at least a first person and/or second person. Such a state or state transition can be determined or predicted by replicating, e.g. simulating a behavior, e.g. communication behavior, behavior pattern of a specific (first or second) person or a (first or second) person from a specific group of people. Such a simulation can be carried out according to a personality model (related to people in the relevant specialist areas), a so-called transaction model, or a static or dynamic type model.

For example, one or more parameters (eg coefficients, characteristic curves, state transition conditions) of the one or more personality models are determined and taken into account, particularly when the method is executed several times or within a longer time interval. Such a personality model can relate to a specific person or group of people, in particular the behavior of the person or group of people, e.g. with regard to communication, the effect of various visual or auditory stimuli, e.g. imitate and/or predict a need, an appeal of the person or group of people. For example, parameters of a personality model related to at least a first person or to a group of people to which a first person belongs are determined and taken into account. For example, one or more parameters (eg coefficients) become one or more, in particular when the method is executed several times or within a longer time interval Personality models (e.g. for several first or second persons) determined and taken into account. For example, parameters of a model related to at least one first person or to a group of people to which a first person belongs are determined and taken into account. A parameter of such a model can relate, for example, to one or more (specific) conditions in which a (specific) change in a state of the person concerned, in particular a transition from a specific state and/or to another specific state, has typically occurred up to now and/or is to be expected. The personality model can include or be a communication model or interaction model, for example.

A personality model of the avatar described in this document can in turn deviate from the personality models of real (first or second) people, and/or on the basis of (only) selected and/or changed (somewhat processed according to a specific rule) parameters of one or more personality models one or more real personalities. The one or more personality models can be (computer-based) executable models. The one or more parameters of the communication message can be determined or adjusted using a personality model, e.g. depending on the current state of the personality model.

For example, a parameter of the communication behavior or an "I state" with which the at least one communication message (here in particular: a voice message, which is generated, for example, by means of voice generation on the second user device or in a second living space, is generated depending on the one or more parameters of the communication within the one or more first living spaces and/or are determined or adjusted by the one or more first parameters of the reaction (respectively) of one or more first persons to a media content.

Alternatively or additionally, the at least one communication message can be generated with regard to the parameters that are characteristic of the voice and/or its pitch and/or an undertone in which a part of the communication message (comprising the language) depends on the parameter of the voice and/or the pitch and/or the undertone of one or more sections of one or more first communications or reactions from the at least one person in one or more first living spaces and/or a second communication or reactions from the at least one person in the second living space can be determined or adjusted . The method can include an evaluation of the voice and/or the pitch and/or the undertone and/or the body language and/or the state or state transitions, the communication behavior or style of the one or more first communications, e.g. in the surroundings of a large number of include first user devices or plurality of first living spaces. These can, for example, be divided into 4-16 classes in a very simplified manner and the respective, in particular combined, class can be taken into account as a (first) parameter. A subsequent determination or adjustment of the one or more parameters of the at least one communication message, in particular with regard to its voice and/or its pitch and/or the undertone and/or the body language, and/or state or state transitions, the communication behavior or style can take place depending on the first parameter or parameters.

In particular, a content-related feature and/or a linguistic parameter represented by the communication message can also be determined or adjusted, with the content of the media report not being, in particular not directly, in particular not causally, logically or thematically related to the content of the one or more first communications must. In one example, one or more parameters of the at least one communication message can be determined or adjusted in such a way that a so-called rapport between the personality model or avatar in whose name the communication message and the at least one second person is stimulated, in particular effected. For example, the language assistant or the avatar is also designed to stimulate one or more features of a report and, for example, to strive for a specific selection of the criteria or features that characterize a report.

The characteristics of such a rapport (in relation to communication between people) are known, for example, from so-called neurolinguistic programming. These can be stored or taken into account in the method in the form of one or more mathematical relationships, e.g. as an optimization criterion. A rapport between the second user device or communication message generated with the user device, e.g. as a specific communication behavior, one or more voice messages, a virtually displayed body language, etc. can be stimulated. With this, better communication or a desired degree of influence can be sought or achieved.

Alternatively or additionally, at least one neural network can be trained and/or operated in order to generate the media output, in particular comprising a text message, voice message (audio message) or video message, with a content or thematic feature of the communication message depending on a content or thematic Feature of the one or more first communications is determined or adjusted. For example, a substantive feature of the voice message (e.g. after a trained dependency) can be selected to match or deviate from or (deliberately) differently to or from the subject(s) of a number or majority of the first communication in a large number of the first living spaces . For example, a content-related feature is selected in such a way that it deviates (explicitly, in particular with a minimum of deviation or dissimilarity) from one or more themes represented by a majority in a large number of the first living rooms.

For example, a topic of a voice message can be determined or adjusted in such a way that the generation of a communication message comprising a voice message causes a change of topic in the second communication, in particular to a predefined topic, a topic from a selection of topics and/or a topic that differs from a selection of predefined ones Topics that are stimulated (e.g. aimed at or effected). A topic to which or from which a change of topic can be suggested in the process or, e.g. by means of the association rule or association logic or database already described as differently strong predefined (logical, associative) connections between certain keywords, Word sequences, frames of reference, contexts, etc. can be chosen.

Alternatively or additionally, the at least one neural network can be trained and/or operated in order to generate the at least one communication message, which contains at least a section or part of the one or more first communications from a large number, e.g. from a high percentage, of the first living spaces (e.g. in a predetermined way, in particular at a later point in time) and/or whose content parameters are in a specific (e.g. thematic, logical) relation to the information based on the frequently occurring sections of the first communications (from a large number of the first living spaces). For example, the communication message can include information or content associated with one or more sections or parts of the one or more first communications according to predetermined criteria and/or information or content with a content parameter that explicitly deviates from the content feature of the communication section include.

A parameter of a section of the communication message, in particular of the auditory message, to be determined or adapted in the method can be a parameter of the communication behavior. Such a parameter can be a communication behavior of the speech generation or an avatar towards (when communicating with) the at least one (second) person, towards a specific second person or a second person belonging to a specific group of people. The second person can be a person who at least probably perceives the communication message, e.g. an identified, likely or assumed listener or viewer (at the corresponding user device or in the respective living space). For example, a behavior, a communication behavior, can be determined or adapted by means of the voice generation of the avatar that generates the communication message. In particular, a parameter of a section of the communication message to be determined or adapted, in particular the auditory message, can characterize a communication behavior towards one or two persons involved in an (optionally conducted) second communication or not involved in the second communication.

A communication behavior to be adapted can also relate to an (optional, possible, based on predetermined criteria) participation of the user device or the avatar in the second communication, e.g. in a conversation between two second people, in particular two people in the vicinity of the second User device or within the second living space, or an interaction with an acoustically guided conversation and / or body language communication between the people in the second living space. In the method, a personality model (the said personality model) can be taken into account and/or operated on behalf of the at least one specific (first or second) person or the at least one said group of people to which, for example, a first person or a second person belongs. One or more parameters of the personality model can be taken into account or processed in said mathematical context.

The personality model or one or more parameters of the personality model (of a specific person or for people belonging to a specific group of people) can, for example, on the basis several communications involving the person or persons belonging to the group of persons and/or the reaction of the person or persons belonging to the group of persons to a section of the communication or to a section of the media content and taken into account in the method. The (first) parameters of a personality model related to a specific person or a group of people can preferably be determined depending on parameters of several (multiple) communications or reactions, in particular on the basis of their communications with different other people, for example between at least two people be within each of a variety of the first living quarters. The determined personality model, in particular specific parameters of the personality model characterizing behavior, perception properties, reactions, for example the personality model characterizing a specific (first or second) person or a specific group of people of the (first or second) person can, when generating one or several communication messages are taken into account.

For example, a parameter of at least one communication message can be determined or adjusted depending on the execution of a personality model, in particular depending on the execution of a first personality model, which refers to one or more first persons, second persons, a group of persons to which one or more first persons, one or more second persons are associated, and/or from a personality model of a virtual personality. The one or more parameters of the communication message can be determined or adjusted depending on a personality model, in particular a virtual or predicted state, e.g. an emotional state, an ego state, etc. or a transition from or to a specific state.

A personality model can be a mathematical model, e.g. represented by means of state machines, networks, a neural network, and/or configured, trained, in particular an executable model based on the data. This can relate to characteristics of behavior (also behavior), action (also way of action), interaction (also way of interaction), preferably concerning communication of a (real, specific) person or a (any) person with a (specific) affiliation to a or several predefined groups of people. The at least one personality model can be dynamically executable, in particular changing its state during execution. The respective personality model can be read in, configured or learned depending on the parameters determined in the process. For example, the personality model can already be stored in the method (at least in an initial form) and/or can be changed in the method over the course of a large number of actions, interactions, communications, reactions, or so-called epochs in the context of learning or training.

A modified personality model can be stored and, if necessary, taken into account when the method is executed later or, e.g. made available for the execution of the method on other user devices.

For example, the method can be configured or (also dynamically) controlled, in particular by selecting or changing the said predetermined mathematical relationship, in such a way that certain behavior, behavior patterns, patterns of the communication behavior are determined and taken into account. These can be taken into account, e.g. for the resolution or a (specific, targeted) change of behavior, communication behavior or behavior pattern or a pattern of communication in the vicinity of the second user device or within the second living space. A (first) parameter can characterize a behavior, in particular a communication behavior of a large number of certain first persons or first persons belonging to a certain group of people for determining, in particular predicting a behavior, e.g. communication behavior, an effect or effectiveness, a perception of certain parts (Sections or content, are taken into account. For example, the at least one neural network can be trained depending on the information determined, e.g. a selection of an appropriate rule, logic, coefficients for generating the communication message in the environment of the second user device or in the second living space (dynamic or long-term) influenced, e.g. changed.

The method can also be designed in such a way that a communication behavior (eg a parameter of the communication behavior) of the at least one, preferably the at least two, persons involved in the communication in the second living space is recognized among one another. Then the own behavior of the user device or the virtual personality, in particular the communication behavior with which the communication message is generated can be changed. A change in one or more corresponding parameters of the communication message (or avatars in relation to the person or persons in the vicinity) can be implemented or illustrated. For example, the parameter of the communication behavior can be adjusted in such a way that the one or more voice messages of a voice control application, the behavior of at least one person, in particular their communication behavior, is reflected in a specific way, e.g. with a simulated course of a communication based on the large number of first communications (e.g. from a large number of the first living rooms) is compared. A person can be helped to recognize their own behavior, behavior patterns or communication behavior patterns.

Furthermore, the at least one neural network can be trained and/or operated in order to determine or adjust a parameter of a communication message to be generated, e.g. a voice message that is characteristic of a specific communication goal for influencing a second communication in a second living space. A communication goal can, for example, serve to reach an agreement or a compromise between two people, to solve a problem (for at least one person), to direct the attention of at least one (second) person to specific information or information determined according to predetermined criteria, e.g. an organizational note , safety instructions, advice, consumer information, etc. The determination or adjustment of one or more parameters relating to the communication goal and the communication behavior or their change can be carried out according to a stored logic or stored relationships, e.g. based on the findings from the transaction analysis and / or the stimulus-response model, preferably taking into account a or multiple parameters of the one or more communications from the past (with or without involvement of the at least one person).

For example, one or more communication messages can include voice messages on a second user device or in a second living space, taking into account a transaction analysis or an SR model (stimulus-response model) and/or a Riemann-Thomann model , a communication model and/or a personality model that can be used for at least one person present and in particular represents the characteristics of a (first or second) person present.

• - einem psychischen Bedürfnis zumindest einer Person entsprochen wird, und/oder
• - ein Informationsaustausch zwischen den zwei Personen durch die Ausgabe einer angepassten Kommunikationsbotschaft verbessert, insbesondere optimiert, wird, und/oder
• - ein bestimmtes Kommunikationsziel zwischen einer Person und einer Sprachsteuerungsapplikation gefördert wird, und/oder
• - ein bestimmtes Kommunikationsziel (Einigung, Harmonie, fließende Kommunikation, Hinweis auf eine Unstimmigkeit oder ein Problem, Auffindung eines Problems) zwischen den zumindest zwei Personen gefördert wird, und/oder
• - ein emotionaler Ausgleich zumindest einer der zwei besagten Personen im Wohnraum angeregt bzw. gefördert wird.

For example, at least one communication message can be adjusted or generated in such a way that

• - a psychological need of at least one person is met, and/or
• - an exchange of information between the two people is improved, in particular optimized, by the output of a customized communication message, and/or
• - a specific communication goal between a person and a voice control application is promoted, and/or
• - a specific communication goal (unification, harmony, fluent communication, indication of a disagreement or problem, detection of a problem) is promoted between the at least two persons, and/or
• - an emotional balance at least one of the two said persons in the living room is stimulated or promoted.

For example, that at least one neural network is trained and/or operated in order to execute or execute such a method, in particular in a variant that is assigned to a specific person or a person who belongs to a specific group of people (in particular, it should also be understood that it is specific to them). . to operate.

According to a further optional embodiment, the at least one neural network is trained and/or operated in order to output a content of the at least one communication message by means of the second user device or within the second living space in an alternative form, e.g. in the form of the sections of the first communication or the first reactions of the first persons deviating or changed form or there is an output of information accompanying the communication message (eg assigned to it). This can be done depending on the at least one parameter of the reaction of at least one person in the one or more first living rooms to the at least one media content or section of media content that exceeds a certain degree of similarity with the communication message and/or a certain degree of the dissimilarity falls short. Thereby can Depending on one or more parameters of the reaction of a large number of first persons in several first living rooms to media content similar to a communication message to be generated, a parameter of the communication message is determined or adjusted (in particular dynamically changed), in particular the content of the communication message is output in an alternative form or an output of information accompanying the communication message (eg information assigned to the communication message) can be initiated.

For example, a parameter for outputting information accompanying a section of the communication message, in particular a parameter of a text, image or video output (e.g. corresponding to one assigned to it, matching it according to a predetermined criterion), depends on the one or more first parameters the one or more first communications (between two first persons) and/or responses of the one or more first persons are determined or adjusted. Such a section of the accompanying information can also correspond to the content of the auditory message, e.g. a voice message, in a different or alternative form (at least analogously), or can include part of the accompanying information. For example, accompanying information can also be generated together with the at least one auditory message, which e.g. represents information corresponding to part of the auditory message, or information corresponding to part of the auditory message. Such accompanying information may include data that can be presented in a visual form or in a textual form, e.g. comments, posts (as a type of "caption" or a "text track", an "accompanying image"). Depending on the at least one parameter of said communication, for example depending on the progress of the communication, the accompanying information can also be output only partially, in sections or in an adapted form. A parameter of such information accompanying the communication message can also be controlled depending on one or more second parameters, e.g. a communication in the environment of the second user device.

Alternatively or additionally, information, preferably information dependent on the content of the communication message (e.g. relating to a further content of the communication message or assigned to the communication message), can be transmitted as an alternative to a further output device of a person, e.g. or output via another networked output device. For example, if communication with one or more specific parameters or a parameter that exceeds a specific limit value is running or has been predicted in a (second) living space, the output of at least one communication message, e.g. an auditory message or information corresponding to part of the communication message in Substantially exclusively for one or more specific first persons, e.g. with appropriate output devices.

For example, at least one neural network can be trained and/or operated in order to determine or predict that a specific acoustic limit value, in particular relating to a specific spatial area, is currently or in a preceding time interval in the vicinity of the second user device or in a second living space ( at least with a certain probability) are exceeded. Thereupon, for example, instead of or in addition to generating a communication message, information in the form of a text, image or video output (for example corresponding subtitles determined or generated in the process, suitable comments, posts, etc.) can be output. For example, the at least one neural network can be trained and/or operated in order to determine an improved, best and/or alternative output channel or medium for outputting information using the communication message.

In such a case, at least one section of the further multimedia signal can also be output as a substitute, in particular in sections, using means of an alternative output device. For example, the further audio signal or information accompanying the further audio signal (e.g. corresponding to or assigned to the further audio signal) in the form of a text, image or video output can alternatively or additionally be sent to a mobile user device of at least one (relevant) person in the Living space to be spent.

The parameter of the at least one communication message can be determined, in particular adapted, in the method according to predetermined criteria that can be set, changed and/or learned in the method by the user. These can be optimization criteria, for example, which each serve a goal, purpose or optimization purpose. The word "optimization" or "optimized" does not mean that an absolute optimum should be achieved. Rather, it is as a striving for improvement and a to understand a certain approximation to a certain conceivable optimum. For example, the predetermined optimization criteria can serve as an objective measure of usefulness. For example, according to one (of several) optimization criterion, a temporal overlap between one or more sections of a (medial) communication of at least one speaker in a second living room and the output of the at least one communication message can be reduced.

A further optimization criterion can relate to a specific communication goal and/or communication behavior which is intended to be stimulated or achieved with the communication message, in particular a voice message. For example, a behavior, emotion, need, reaction, communication behavior of an avatar (generating the communication message) or speech generation, a desired communication goal (defined as a current goal for an execution of the method), and/or a specific communication behavior can be determined or adapted , which are used to generate at least one communication message for a specific person or for a person belonging to a specific group of people.

In particular, the at least one neural network is trained according to one or more, in particular different, person-specific and/or communication-specific (e.g. case-specific) optimization criteria and/or to achieve one or more optimization criteria, in particular different, person-specific and/or communication-specific (case-specific) criteria Effects are operated.

According to a further embodiment, an output of an avatar is generated (to be understood in particular as: simulated, represented, imitated, visualized using technical means, or a simulation, representation, imitation, visualization of the avatar is caused on the second user device), the at least one communication message is generated as an auditory, visual, and/or body language output of the avatar and/or issued on behalf of the avatar and/or on behalf of the one or more first persons (e.g. by means of the avatar).

According to an optional embodiment, one or more (second) parameters that determine a shape, a personality model, an operating mode of the avatar, and/or a concrete or specific communication message of the avatra are dependent on the one or more (preferably a large number) of the first Parameter and / or the second parameter determined or adjusted. These can be various parameters described in this document, e.g. the first or second parameters of the one or more first or second communications, one or more first or second parameters of a reaction of the one or more first or second persons, the first or second scene, the emotion, the intention, etc. As a result, a perceptible (second) person perceptible features of the form, role, character, behavior, in particular the communication behavior and / or interaction behavior, body language, and /or determined or adjusted by an emotion, appeal, need, etc. underlying the avatar's behavior.

For example, the one or more (second) parameters of the at least one auditory, visual and/or body language output of the at least one avatar (also, preferably predominantly) depends on the one or more second parameters (in particular current parameters in the environment of the second User device or within the second living space) determined or adjusted. A parameter of the character or of the behavior of the virtual personality (valid over a long period of time and determining the perceptibility as a “personal characteristic”) can be determined or adjusted, preferably depending on a large number of the first parameters. A current (short-term, e.g. caused by an event) action, reaction, e.g. a section of the verbal or body language communication of the virtual personality, can be determined or adjusted, preferably depending on one or more second parameters.

• - eine Abstimmungsinformation an eine oder mehrere erste Personen die kennzeichnend ist für einen Abstimmungsbedarf zwischen mehreren unterschiedlichen Vorgaben betreffend die Kommunikation zu erzeugen; und/oder
• - eine Unterstützungsinformation an eine oder mehrere erste Personen betreffend die Kommunikation mit einer oder mehreren zweiten Personen zu erzeugen; und/oder
• - ein Feedback an eine oder mehrere erste Personen betreffend eine Wirkung zumindest einer Kommunikationsbotschaft auf die zumindest eine zweite Person; und/oder
• - eine Reaktion der zumindest einer ersten Person auf zumindest eine eingehende Kommunikationsbotschaft zu simulieren und/oder prädizieren; und/oder
• - eine Reportinformation an die eine oder mehrere erste Personen bei der bzw. im Zusammenhang mit der Kommunikation kennzeichnend einen Verlauf der Kommunikation, Agieren, Geschähen im Zusammenhang mit der Kommunikation zu erzeugen.

According to a further aspect, the invention is characterized by a (first) personality model of one or more people, in particular a (first) avatar of one or more people that can be operated depending on a (first) personality model, the personality model (in particular avatar) being used to support a interpersonal communication is trained. In particular, the (first) personality model is formed:

• - A coordination information to one or more first persons which is characteristic of a need for coordination between several different specifications regarding the communication generate; and or
• - generate support information to one or more first persons regarding communication with one or more second persons; and or
• - feedback to one or more first persons regarding an effect of at least one communication message on the at least one second person; and or
• - to simulate and/or predict a reaction of the at least one first person to at least one incoming communication message; and or
• - generate report information to the one or more first persons in or in connection with the communication indicating a course of the communication, acting, happenings in connection with the communication.

A first personality model or a first avatar (e.g. corresponding to the first personality model) is set up in particular to operate in an action, interaction and/or an information technology effective connection with the one or more second personality models (or one or more corresponding avatars). In particular, the first personality model can be set up to have the features described in the present document or to determine information in an action, interaction and/or an information technology connection with the one or more second personality models. The first personality model is preferably designed to be implemented in an at least partially simulated communication, in particular with one or more first persons, further first personality models, second persons and/or second personality models.

The first avatar is in particular operated at least partially and/or temporarily with the first personality model corresponding to one or more first persons. The first personality model or the first avatar is to be understood in particular as one that is assigned to the user or represents the user. The at least one first avatar may generate the support information and/or the feedback and/or report information to the one or more first persons in a first person, view perspective, and/or according to an evaluation from an independent observer/party perspective.

In particular, the avatars are set up to exhibit the characteristics of the person relating to person-specific, personal, context-specific and/or situation-specific communication (e.g. in communication with a real person and/or an avatar and/or in at least partially simulated communication).

This does not necessarily have to be an explicit replication (e.g. explicit, in an explicit form) of the (e.g. previously recorded) characteristics of the persons. Personality models or avatars can deviate from an (explicit) replica of the characteristics. Rather, these can be set up (e.g. trained, configured) depending on the (first and/or second) parameters relating to the corresponding (e.g. first and/or second) person. These can (e.g. as a result) be at least partially or to a certain extent representative of the characteristics that are conscious and/or not (explicitly) conscious or unconscious for the person in question and/or for a communication partner.

• - Ermitteln, insbesondere Einlesen und/oder Interpretieren einer Kommunikationsbotschaft; und/oder
• - Verändern eines eigenen Zustands abhängig von einer eingelesenen, insbesondere eingehenden, Kommunikationsbotschaft; und/oder
• - Bestimmen oder Anpassen eines Parameter einer auszugebenden Kommunikationsbotschaft, insbesondere unter Berücksichtigung eines Abschnitts der vorangegangenen Kommunikation; und/oder
• - Generieren einer Kommunikationsbotschaft, insbesondere abhängig von eigenem (z.B. simulierten kognitiven, emotionalen und/oder psychologischen) Zustand; und/oder
• - Ermitteln einer Anpassungsinformation zum Anpassen einer durch die mit dem Persönlichkeitsmodell korrespondierende Person generierte Kommunikationsbotschaft.

At least one (first and/or second) personality model or avatar can be designed to:

• - determining, in particular reading in and/or interpreting a communication message; and or
• - changing one's own state depending on a read, in particular incoming, communication message; and or
• - Determining or adjusting a parameter of a communication message to be output, in particular taking into account a section of the previous communication; and or
• - Generating a communication message, in particular dependent on one's own (eg simulated cognitive, emotional and/or psychological) state; and or
• - determining an adjustment information for adjusting a communication message generated by the person corresponding to the personality model.

The communication between the one or more first avatars and one or more second avatars can take place using a natural language and/or a technical protocol (e.g. the protocol already described). Alternatively or additionally, avatars can be coordinated within a group of first persons or within a first communication party; and/or voting of avatars within a group of first persons or within a first communication party; to be executed. For example, (first and/or second) avatars may be configured to perform voting before and/or during communication. The voting can take place at least partially automatically and/or according to their respective specifications.

The communication and/or coordination can take place at a speed that is changed (eg by a factor of at least 2, 3, 5, 10, 10 ² , 10 ³ , 10 ⁴ . . . ) compared to a typical communication between two people.

The communication can be supported depending on the result of the simulation and/or prediction of the reaction of the at least one first person to at least one incoming communication message. For example, depending on the result of the simulation and/or prediction, a parameter of the communication message (e.g. a reaction, an answer, a comment on the incoming message) can be determined or adjusted, a draft of the communication message can be preferred or recommended, support information, etc . be generated. For example, depending on the result of the simulation and/or prediction of the reaction of the at least one first person (e.g. further) virtual encounters, action and/or interaction of at least one first person and/or at least one second person can be supported.

The support can be carried out before, during and/or after the communication (also to be understood in particular: to be executable). The sender, customer and/or initiator can be an at least potential sender, customer and/or initiator of at least potential communication or communication message. For example, a first avatar (or the system or user functionality operated by means of the avatar) can also determine or predict that a specific communication (e.g. to one or more second persons) does not lead or would lead to one of the desired goals and corresponding information to the (potential) sender, client and/or initiator of the communication or a communication message.

• - Zumindest eine Kommunikationsbotschaft an die eine oder mehrere zweite Personen von, im Auftrag oder im Namen einer oder mehreren ersten Personen zu erzeugen oder anzupassen; und/oder
• - die eine oder mehrere zweite Personen bei ihrer Kommunikation, einer oder mehreren, Begegnungen, insbesondere mit einem oder mehreren ersten Personen und/oder weiteren Avataren zu repräsentieren und/oder zu vertreten; und/oder
• - eine Reportinformation an die eine oder mehrere erste Personen bei der bzw. im Zusammenhang mit der Kommunikation, insbesondere kennzeichnend einen Verlauf der Kommunikation, Agieren, Geschähen im Zusammenhang mit der Kommunikation zu erzeugen.

According to a further aspect, the invention is characterized by a (second) personality model for one or more people, in particular a (second) avatar for one or more people that can be operated as a function of a (second) personality model, the personality model (in particular avatar) being used to support a interpersonal communication is trained. In particular, the (second) personality model is formed:

• - Generate or customize at least one communication message to the second person(s) by, on behalf of, or on behalf of the first person(s); and or
• - to represent and/or represent the one or more second persons in their communication, one or more encounters, in particular with one or more first persons and/or other avatars; and or
• - generate report information to the one or more first persons in or in connection with the communication, in particular indicating a course of the communication, actions, events in connection with the communication.

In particular, the (first and/or second) personality model or (first and/or second) avatar has characteristics corresponding to the method or is designed during operation to carry out the method. These may be configured to operate as part of the system according to one or more of the features described herein.

A second personality model (or a corresponding second avatar) is set up in particular to operate in an action, interaction and/or an information technology active connection with the one or more first personality models (or one or more corresponding first avatars). In particular, the second personality model can be set up to have the features described in the present document or to determine information in an action, interaction and/or an information technology connection with the one or more first personality models.

For example, the one or more (second) persons in (real and/or at least partially or completely simulated) encounters, in particular with one or more first persons and/or other avatars, can be represented by a personality model (or avatar) corresponding to them and/or or be represented.

The second avatar is in particular operated at least partially and/or temporarily with the first second personality model corresponding to one or more second persons. The second personality model or the second avatar is to be understood in particular as one that is assigned to a communication partner of the (communicating) user or represents the communication partner of the user.

According to a further aspect, the invention is characterized by a system for supporting communication between one or more first persons and one or more second persons. The system is designed to support communication using one or more personality models of one or more first persons and/or one or more personality models of one or more second persons.

According to a further aspect, the invention is characterized by a system for supporting interpersonal communication between one or more first persons and one or more second persons, the system being designed to support communication by means of one or more avatars of one or more first persons and /or one or more avatars of one or more second persons.

The one or more first personality models and/or one or more second personality models can belong to the system or be designed to form the system or be operated as part of the system.

According to a further aspect, the invention is characterized by a system for supporting communication between one or more first persons and one or more second persons. The system is designed to support communication by means of one or more avatars of one or more first persons and/or one or more avatars of one or more second persons.

The one or more first avatars and/or one or more second avatars can belong to the system or be designed to form the system.

At least part of the method can be carried out using a quantum computer, in particular one or more cubits. For example, the system can comprise a quantum computer (e.g. located in the spaced-apart computing unit) or have access to a quantum computer. This is particularly advantageous, e.g. because a plurality of the states of the personality models and/or avatars can actually be displayed simultaneously. For example, a plurality of simulated communications can be carried out (e.g. simultaneously or in parallel) and/or a plurality of communications can be supported.

According to a further aspect, the invention is characterized by a system for supporting an at least partially virtual communication between one or more first persons and one or more second persons, the communication being supported as a function of at least one neural network.

The at least one (or more) neural networks belonging to the system can be trained and/or operated. Several neural networks can be trained and/or operated together and/or dependent on one another.

The system can include the at least one neural network and/or a device for training and/or operating and/or updating the at least one neural network.

The system is preferably designed to carry out further refinements or expedient or optional features of the method. In doing so, the system shows the same or corresponding features and the corresponding advantages as the method.

The system can be a so-called distributed or at least partially decentralized electronic system. In particular, the system comprises a user device that can be operated in the living room, e.g. comprising a voice control application, audio output device or an audio system, a screen, a multimedia system. The audio output device can also include a multimedia system or it can be designed with a suitable data interface for executing the method, e.g. for exchanging the control data, with a multimedia system. The system may include or be a communication system or communication network (e.g. a social network).

Furthermore, the system can include one or more other sensors installed or arranged in the house or wearable on the person's body, as well as devices, e.g. household appliances or systems of the house, e.g. an energy supply system, heating system, fire protection system. Furthermore, the system can also include at least one spaced-apart processing unit R2, e.g. a server or a correspondingly set up internet portal or a correspondingly set up service (to carry out the method), in particular a cloud service. The arithmetic unit arranged at a distance can be designed with means of artificial intelligence, machine learning, and/or data aggregation of data from a large number of user devices, living spaces, people. In order to carry out the method, the system can be designed in various combinations according to all of the features described in this document. A corresponding house comprising the living space and/or a corresponding cloud service can be regarded as part of the system and also belongs to the invention.

According to a further aspect, the invention is characterized by a user device, in particular a mobile user device, for supporting interpersonal communication between one or more first persons and one or more second persons. The user device is configured with one or more first personality models of one or more first persons, in particular a first avatar that can be operated by a first personality model, and/or one or more second personality models of one or more second persons, in particular a second avatar that can be operated by a second personality model, for example Set up, update and/or operate support communications.

In this case, the support of the communication (e.g. one or more aspects of the support of the communication described in the present document) can be carried out depending on the personality model that has been set up, updated and/or to be operated, in particular the avatar. For example, the user device can have a user interface for setting up, updating and/or operating one or more first personality models of one or more first persons, in particular a first avatar that can be operated by a first personality model, and/or one or more second personality models of one or more second persons, in particular set up, update, and/or operate a second avatar, operable by a second personality model, to support communication.

In particular, the user device is designed to (also) set up and/or operate a personality model of one or more of the communication partners of the user of the user device. For example, a first user device is designed to set up and/or operate one or more second personality models (e.g. of the respective communication partners). This is also to be understood in particular in such a way that the user device (e.g. through a corresponding input and output option, user interface, etc.) is designed to set up one or more personality models or avatars set up by means of another device (e.g. in the spaced-apart computing unit). and/or operate.

The method can (also) be carried out without accessing a (e.g. substantial, largest) part of the data for setting up the personality model or the avatar.

According to a further aspect, the invention is characterized by a user device, in particular a mobile user device, which is designed to use the method, in particular together with a white another device that can be operated in a first stationary living space and/or in a second stationary living space. In particular, the user device can be set up with one or more sensors that can be operated in one or more (first) living spaces (or in a corresponding house) or in the vicinity of the at least one (first) person and/or another Processing unit, and/or to carry out the method together with an output device (eg an image, video or audio output device) that can be operated in a (second) living space (or in a corresponding house).

Alternatively or additionally, the user device can be designed to operate as part of the system as a first user device and/or as a second user device and/or is set up, together with at least one other device R2, the method according to one or more of the methods described in the present document perform characteristics.

The communication can be supported depending on the operation of one or more first personality models (or corresponding avatars) of one or more first persons and/or one or more second personality models (or corresponding avatars) of one or more second persons. For example, the one or more first personality models (or avatars) of one or more first persons and/or one or more second personality models (or avatars) of one or more second persons can be operated (e.g. carried out as part of a simulated communication). Information (as corresponding parameters or data) can be determined (also: generated) that is provided and/or used to support the communication involving the at least one or more real first persons and/or one or more real second persons.

For example, at least one second personality model (or a second avatar) of one or more second persons can be operated or made operable on the first user device of a first person. However, a first personality model (or a first avatar) (e.g. your own, corresponding to the first person) can also be operated.

For example, at least a first personality model (or a first avatar) of one or more first persons can be operated on the second user device of a second person. However, a second personality model (or second avatar) (e.g. your own, corresponding to the second person) can also be operated.

The communication is preferably supported by means of at least one neural network. The at least one neural network can have any combination of the features described in the present document. In particular, the at least one (first and/or second) user device can be set up for training and/or operating at least one neural network. The method can then be carried out. For example, the at least one (first and/or second) user device can comprise at least one neural network and/or data from at least one neural network and/or for data exchange, in particular for an information technology operative connection, with at least one neural network located in a further processing unit (R2). network set up. For example, the at least one neural network can be trained and/or operated outside of the user device using the data determined with the user device or controlled by the user device. The training can include determining and/or processing the training data, e.g. depending on the parameters relating to the one or more (first or second) persons.

The one or more first user devices can be viewed as those that are operated in the one or more first living spaces or are assigned to these living spaces. The one or more second user devices can be viewed as those that are operated in the one or more second living spaces or are assigned to these living spaces. The first user device and the second user device are, for example, user devices that function per se and may also include or execute other services or functionalities. As an alternative or in addition, accounts of the respective (e.g. first or second) person or the application (corresponding to the respective user device, e.g. web-based) are to be understood as (respective) first or second user devices.

The system can preferably comprise a plurality of the (first or second) user devices. The (first, second, third) user devices can be assigned to the (first, second, third) living spaces, for example by personal input or via position information. In particular, that will The method is carried out with a (large, specific) number of the first user devices or first living spaces and with a (large, specific) number of the second user devices or second living spaces.

In the context of this description, the application device can be an active loudspeaker, a voice control application, a smartphone, tablet, smart watch, smart closes, in particular a piece of clothing with an electronic device integrated into the piece of clothing, data glasses, a device for generating or outputting or Representation of VR (= Virtual Reality), or an analogous development of such a device. In particular, the mobile user device can be placed on the audio system, multimedia system or a suitable place in the living space, e.g. using a special holder with or without a data interface.

Furthermore, the user device (e.g. as the first and/or second user device) can be arranged to operate as part of the system according to the invention. Accordingly, the user device can be set up to determine the data on the basis of the first parameters and to transmit them (preferably by means of a computing unit R2) to generate the communication message to another user device and/or to at least partially receive data for generating the communication messages and/or or to determine at least partially and to generate the communication message depending on the determined data, in particular to make it perceivable for the person in the area. For this purpose, the application device can have a wired or wireless interface which is set up to carry out the method. Alternatively or additionally, a transmission part and/or a sensor and/or computing resources and/or a transceiver unit and/or authentication method of the (first, second) user device can advantageously be used or also used in the method. For example, the determined, in particular taught-in data (learning data) described in this document can be processed or managed with the (first or second) user device. Part of the evaluation of said communication and/or determination of a parameter of the reaction of the at least one person to the at least one media content can also be carried out using means of the user device, preferably a smart watch or smart close. In particular, the mobile user device can be set up to carry out at least part of the method in a first living space or in a second living space. The user device can preferably be set up for a simultaneous, quasi-simultaneous or alternating execution of a (respective) part of the method in a first environment or in the first living space and in a second environment or in the second living space.

According to a further aspect, the invention is characterized by a communication assistant. The communication assistant can be designed to support one or more first persons and/or one or more second persons in interpersonal communication according to one or more features described in the present document. The communication assistant can include or be a user functionality (e.g. integrated into another application). For example, the communication assistant can be at least partially integrated into the user interface of a communication application or a social network. In this way, communication can be supported particularly effectively.

According to a further aspect, the invention is characterized by a computer program product, in particular comprising one or more computer programs and/or data), wherein the at least one computer program product is designed, when it is executed on one or more computing units, to contain at least a substantial part of the method according to the invention or a to carry out an advantageous embodiment of the method according to one or more further features of the method. In particular, the at least one computer program is a computer program that can run, for example, as an app (= “application”) on a computing unit.

The computer program or computer program product comprises an executable program code which, when executed by means of a computing unit or multiple distributed computing units, executes at least part of the method according to the first aspect or an advantageous embodiment of the method according to one or more other features described in this document. The computer program product can be embodied as an update of a previous computer program or an operating system, which includes the relevant parts of the computer program or the corresponding program code that can be executed on at least one said computing unit, for example as part of a functional expansion.

Alternatively or additionally, the computer program product is designed to set up, update and/or operate a first personality model of one or more first persons and/or second personality model of one or more second persons to support interpersonal communication between one or more first persons and one or more second persons.

In particular, the computer program product can be designed to support interpersonal communication using the first personality model of one or more first persons and/or using a second personality model of one or more second persons. Alternatively or additionally, the computer program product can be designed to support interpersonal communication using the first avatar of one or more first persons and/or using a second avatra of one or more second persons.

Alternatively or additionally, the computer program product can be set up to support interpersonal communication depending on one or more first parameters relating to at least one first person and/or one or more second parameters relating to at least one second person. In particular, the computer program product can be set up to update and/or control the first personality model and/or the second personality model depending on one or more first parameters relating to at least one first person and/or one or more second parameters relating to at least one second person.

The at least one computer program product can preferably include at least one neural network and/or data from at least one neural network and/or be set up for data exchange, in particular for an information technology active connection with at least one neural network located in a further processing unit (R2). For example, the at least one neural network can be trained and/or operated outside of the user device using the data determined using the computer program product or using the computer program product.

The computer program product can include an authorized access right to stored data of the computer program product or a computer program (e.g. suitable or specific for the user device). For example, the computer program product can include one or more computer programs, in particular for a computer program for the one or more (first or second) user devices and/or for the arithmetic unit R2 arranged at a distance.

According to a further aspect, the invention is characterized by a neural network. The neural network is designed to support interpersonal communication involving one or more first persons and one or more second persons. The neural network is in particular designed to operate a first personality model of one or more first persons, in particular a first avatar that can be operated as a function of the first personality model; and/or to operate a second personality model of one or more second persons, in particular a second avatar that can be operated as a function of the second personality model.

Alternatively or additionally, the neural network can be designed to operate a first avatar of one or more first persons, in particular one dependent on the first personality model; and/or to operate a second avatar of one or more second persons, in particular one dependent on the second personality model.

The communication can be supported depending on the operation of the one or more first personality models or first avatars and/or the one or more second personality models or second avatars. In particular, the one or more neural networks can be set up, at least partially virtual communication using the one or more (first and/or second) personality models or avatars.

Alternatively, preferably additionally, the neural network can be set up: data from a first personality model of one or more first persons, in particular a first avatar that can be operated as a function of the first personality model; and/or a second personality model of one or more second persons, in particular a second avatar that can be operated as a function of the second personality model; to identify executed communication; and depending on the determined data to support the communication.

The neural network is to be understood in particular as data of the neural network.

Supporting the communication can have one or more features described in the present document. The data of the at least one neural network is to be understood in particular as data that has been trained to a certain degree or for cases that are specific to a degree. These can already be loaded or deployed on the one or more respective computing units (e.g. in the respective user devices).

The neural network may be trained and/or updatable (updated) according to one or more features described herein. The at least one neural network is preferably a neural network set up according to the features described in the present document and at least partially optimized or trained for them. The neural network can be set up to carry out one or more steps of the method when it is operated in a data processing unit or to carry out one or more functionalities in accordance with one or more features described in the present document. For example, the topology of the at least one neural network and/or interconnection or a direct or indirect control of at least two neural networks for executing one or more steps of the method can be set up, in particular optimized. The at least one neural network is preferably a DNN (=deep neural network). It can preferably be a recurrent neural network. In particular, the at least one neural network has one or more direct feedbacks and/or one or more indirect feedbacks.

Alternatively or additionally, the term “neural network” DNN1, DNN2, DNNZ can also be understood as another form of artificial intelligence (in particular comprising a neural network DNN1, DNN2, DNNZ or a comparable structure). In particular, the training and/or operation of the at least one neural network DNN1, DNN2, DNNZ is to be understood (also) as a corresponding application of other types of machine learning. For example, at least one neural network DNN1, DNN2, DNNZ, the training and/or operation of this can include or be an analogous application of one or more of the conditions listed below or a combination thereof: supervised learning, unsupervised learning, reinforcement learning, multitask learning, classification and regression trees, support vector machines, logical and relational learning, probabilistic graphical models, rule learning, instance based learning, latent representation, bioinspired approaches.

One or more steps of the method can be carried out, in particular end-to-end, by means of a correspondingly trained and/or operated neural network DNN1, DNNZ, DNN2. Of course, this does not exclude the use or joint use of other means, e.g. computer-implemented calculation formulas, rule-based algorithms, etc. For example, at least part of one or more steps of the method can be carried out (at least in part) by other means. Preferably, an essential part of the processing of the data described in the present document and/or an essential part of the effect of the method can take place by means of the at least one neural network DNN1, DNNZ, DNN2. For example, a calculation formula for preparing the control information for controlling the input layer of the neural network can be read in and/or used for post-processing the parameters that are read from the output layer. Alternatively or additionally, the at least one neural network DNN1, DNNZ, DNN2 can, for example, carry out pre-processing and/or post-processing of the data, e.g. of the respective parameters.

The at least one neural network can be understood as (e.g. portable) data of the neural network. The data of the at least one neural network is to be understood in particular as data that has been trained to a certain degree or for cases that are specific to a degree. These can already be loaded or deployed on the one or more respective computing units (e.g. in the respective user devices).

The features described in this document can be combined with one another as desired. This results in explicitly described advantages as well as other advantages that are not difficult to understand for a person skilled in the art. The conjunction "or" (or) is to be understood in particular as a and/or. The applicant reserves the right to make the features described in this document, also independently of the original wording of the independent claims, individually or in various combinations, the subject of a further independent claim, a divisional application or a subsequent application, provided that that at least one parameter can be determined on a stationarily operated or (by a person) portable first user device, in particular within a living space 1, 1', 1'', 2, 2', 2'' (belonging to a property) and then at least information is provided. Depending on the information, one may be operated at a stationary or (by a person) portable user device, a communication message, in particular in a stationary living space 1, 1 ', 1'', 2, 2', 2 '(belonging to a property) be influenced.

• Die 1 zeigt ein Ablaufdiagramm des Verfahrens bzw. des entsprechen Computerprogramms bzw. des Softwareprodukts.
• Die 2 zeigt einen ersten stationären Wohnraum 1, hier in Form von einem Grundriss einer Wohnung 1 in der die Erfindung beispielhaft ausgeführt wird. Dieser ist mit den in der Figur stark verkleinert, symbolisch dargestellten zweiten Wohnräumen 2, 2', 2'' vernetzt.
• Die 3 zeigt einen zweiten stationären Wohnraum 2, hier in Form von einem Grundriss einer Wohnung 2 in der die Erfindung beispielhaft ausgeführt wird. Dieser ist mit den in der Figur stark verkleinert, symbolisch dargestellten ersten Wohnräumen 1, 1', 1'' vernetzt.

Exemplary embodiments of the invention are explained in more detail below, without restricting the generality, with the aid of the schematic drawings. Show it:

• The 1 shows a flow chart of the method or the corresponding computer program or the software product.
• The 2 shows a first stationary living space 1, here in the form of a floor plan of an apartment 1 in which the invention is implemented as an example. This is networked with the second living spaces 2, 2', 2'', shown symbolically in a greatly reduced form in the figure.
• The 3 shows a second stationary living space 2, here in the form of a floor plan of an apartment 2 in which the invention is implemented as an example. This is networked with the first living spaces 1, 1′, 1″, shown symbolically in a greatly reduced form in the figure.

Furthermore, in the 2 and 3 a self-explanatory, exemplary facilities of the living rooms 1 and 2 as well as different exemplary defined room areas RB1, ... RB6 shown. In this example, the networking, in particular the exchange of data for carrying out the method and/or a bilateral or multilateral operative connection, is carried out by means of a spaced-apart computing unit R2. In the living spaces 1 and 2, communications Ka, Kb, Kc, K-a' between certain spatial areas RB1, ... RB6 or with different directional parameters are shown schematically. For example, there are several sections Ka, Kb, Kc, Ka' of the communication that partially overlap in time.

The examples of the invention described below also relate to use in connection with one or more user devices that are operated stationary or portable by people, e.g. in living rooms or real estate tied to a fixed location. In the context of this document, the term "living space" is to be understood as stationary living space. Examples 1-8 described below each illustrate different aspects of the invention. These can be combined with each other as desired and are advantageous in various combinations. In these examples, the term "user device" refers in particular to private user devices operated or used by certain persons.

• - Ermitteln eines oder mehrerer ersten Parameter (PK1, PK2, ... PK9) einer Kommunikation K-a, K-b, K-c, K-a',... und/oder eines Parameters (PRMI-a, PRMI-b, PRMI-c ...) einer Reaktion einer oder mehrerer ersten Personen P1, P1', P1'' auf einen Mediainhalt M11, MI2, ... innerhalb eines oder mehrerer ersten Wohnräume 1, 1', 1'', und
• - Bestimmen oder Anpassen eines Parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) zumindest einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... die in einem zweiten Wohnraum 2, 2', 2'' ausgegeben wird, abhängig von einem neuronalen Netz DNN1, DNN2, DNNZ, wobei das neuronale Netz DNN1, DNN2, DNNZ abhängig von dem einen oder mehreren ersten Parametern (PK1, PK2, ... PK9) der ersten Kommunikation K-a, K-b, K-c, K-a', ... und/oder von dem einen oder mehreren ersten Parameter bzw. (PRMI-a, PRMI-b, PRMI-c...) der Reaktion der einen oder mehrerer ersten Personen P1, P1', P1'' auf den Mediainhalt MI1, MI2, ....) trainiert und/oder betrieben (z.B. im Betrieb beeinflusst oder gesteuert) wird.

A corresponding embodiment variant of the invention relating to living spaces 1, 1', 1' or 2', 2', 2'' can be represented in particular in the following form:

• - determining one or more first parameters (PK1, PK2, ... PK9) of a communication Ka, Kb, Kc, K-a', ... and/or a parameter (PRMI-a, PRMI-b, PRMI-c ...) a reaction of one or more first persons P1, P1', P1'' to a media content M11, MI2, ... within one or more first living spaces 1, 1', 1'', and
• - determining or adjusting a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... in a second living space 2, 2', 2'' is output depending on a neural network DNN1, DNN2, DNNZ, the neural network DNN1, DNN2, DNNZ depending on the one or more first parameters (PK1, PK2, ... PK9) of the first communication Ka, Kb, Kc, K-a', ... and/or from the one or more first parameters or (PRMI-a, PRMI-b, PRMI-c ...) the reaction of the one or more first persons P1, P1', P1'' on the media content MI1, MI2, ....) is trained and/or operated (eg influenced or controlled during operation).

• - Ermitteln eines oder mehrerer ersten Parameter einer Reaktion (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) einer oder mehrerer ersten Personen P1, P1', P1'' im Zusammenhang mit einer Kommunikation K1-a, K1-b, K1-c, K1-a' und/oder auf einen Mediainhalt M11, MI2, ... innerhalb eines oder mehrerer ersten stationärer Wohnräume 1, 1', 1'', und
• - Bestimmen oder Anpassen eines Parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) zumindest einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... in einem zweiten Wohnraum 2, 2', 2'' abhängig von einem neuronalen Netz DNN1, DNN2, DNNZ, wobei das neuronale Netz DNN1, DNN2, DNNZ abhängig von dem einen oder mehreren ersten Parametern (PK1, PK2, ... PK9) bzw. (PRMI-a, PRMI-b, PRMI-c ...) einer Reaktion der einen oder mehrerer ersten Person P1, P1', P1'' im Zusammenhang mit einer Kommunikation K-a, K-b, K-c, K-a' trainiert und/oder betrieben (z.B. im Betrieb beeinflusst oder gesteuert) wird.

Or:

• - determining one or more first parameters of a response (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) of one or more first persons P1, P1', P1'' in connection with a communication K1-a, K1-b, K1-c, K1-a' and/or media content M11, MI2, ... within one or more first stationary living spaces 1 , 1', 1'', and
• - Determining or adjusting a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... in a second living space 2, 2 ', 2'' depending on a neural network DNN1, DNN2, DNNZ, the neural network DNN1, DNN2, DNNZ depending on the one or more first parameters (PK1, PK2, ... PK9) or (PRMI-a, PRMI-b, PRMI-c ...) a reaction of the one or more first persons P1, P1', P1'' together hang with a communication Ka, Kb, Kc, Ka 'trained and / or operated (eg influenced or controlled during operation).

The term “living space” refers in particular to a private living space or a private sphere (which is largely not visible from the outside or is acoustically isolated) of at least one person or several persons. This results in easily understandable advantages. For example, it can be assumed that the respective communications or the reactions of the people are not inhibited by various constraints, e.g. as in professional life or in public. Therefore, the method can be carried out particularly effectively. The first living space 1, 1', 1'' or the second living space 2, 2', 2'' is also intended as a (first or second) environment or part of the environment of the corresponding (first or second ) User device AG1, AG1', AG1'' or AG2, AG2', AG2''. An environment is, for example, the environment in which the communication message MS1, MS2, ... AM1, AM2, AM3, ... is made directly perceivable by the respective person on the (second) user device or by means of the (second) user device .is recognizable as such. The environment of the (first or second) user device AG1, AG1′, AG1″ or AG2, AG2′, AG2″ is also to be understood as the environment from which a respective (first or second) parameter can be determined. In particular, in a (first or second) environment of the first person P1, P1', P1'' or the second person P2, P2', P2'', in particular in a first living space 1, 1', 1'' or the electronic devices located in the second living space 2, 2', 2'', which are designed to carry out the method (e.g. by means of an operative connection), in each case as the first AG1, AG1', AG1'' or the second AG2, AG2' , AG2'') user device.

To make the examples easier to understand, they are described using living rooms 1, 1', 1'... or 2, 2', 2''. The embodiment of the invention is to be understood as using the user devices AG1, AG1', AG1'', ... or AG2, AG2', AG2'', ... (which can also be carried outside of the living space and used accordingly). The first user device AG1, AG1', AG1'' is in particular a user device that is or can be operated within the first living space 1, 1', 1'.... The second user device AG2, AG2', AG2'',... is in particular a user device that is or can be operated within the second living space 2, 2', 2". When we are talking about the first living space 1, 1', 1'', the first user device AG1, AG1', AG1 '' and/or the environment of the first user device AG1, AG1', AG1'' (of a few meters). When speaking of the second living space 2, 2', 2'', the second user device AG2, AG2', AG2'' or the environment of the second user device AG2, AG2', AG2'' (e.g. of a few meters).

In particular, the user device AG1, AG1', AG1'', or AG2, AG2', AG2'' is set up together, in particular in an operative connection, with at least one other device, e.g. with another user device AG1, AG1' , AG1'' or AG2, AG2', AG2'', ... or a further device in a stationary living space 1, 1', 1' or 2, 2', 2'' and/or arranged at a distance Processing unit R2 to perform the method. The first or second user device AG1, AG1′, AG1″, or.... AG2, AG2′, AG2″ can be used with the voice control application SSA1, SSA2 and/or with in these examples (operated stationary in the respective living space). be networked with an output device ASAS, AV1, AV2, comprise these devices or be part of such devices.

A body language output can be a virtual, in particular continuously or dynamically controllable body language expression or controllable body language, e.g. of an avatar. The body language output can be generated as the at least one communication message or with the at least one communication message (by means of or in conjunction with the auditory or visual content of the communication message). This can include various aspects of body language (similar to those known from communication sciences or from a real person). The body language output can be generated in particular on a visualized shape (simulated face, hands, pose) of the at least one avatar or the protagonist and/or with their voice or way of speaking, etc.

In this example, the voice of a person present in living space 1, 1′, 1″, or 2, 2′, 2″, in particular a person involved in said communication K-a, K-b, K-c, K-a′, from a Voice from a (technical) audio playback device, in particular from an audio playback device networked e.g. with the house and/or with the audio system, e.g. from a mobile user device. The recognized difference can then be taken into account in the method.

For example, one or more parameters of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... and/or a section of the further multimedia signal, eg audio signal, are determined or adapted only or mainly to one or more live ( directly acoustically spoken) voices within the first living space. On the other hand, a voice from a technical audio output device can, for example, have no or a (in principle, to a predetermined extent) other (e.g. for voices from technical devices) predefined determination or adaptation of the communication message MS1, MS2, ... AM1, AM2, AM3, . .. and/or a predefined measure in a second living space 2, 2', 2''.

The 4 1 illustrates some parameters related to a first stationary living space 1, 1′, 1″ as well as corresponding time intervals. In this figure, temporal aspects of the execution of the method are illustrated.

The bar (a) shows in the 4 a symbolically illustrated sequence of the output of some sections MI-a, MI-b, MI-c, ... of media content which is generated or output within the first living space 1, 1', 1'', ... This process can relate to the media content of different types M11, MI2, . . . in a respective analogous manner. Exemplary time intervals for the sections of the media content MI-a, MI-b, MI-c, . . . are marked with different textures in the figure. These correspond to different effectiveness or expected effects. One or more parameters of a section MI-b of the media content MI2 is or will be determined or adjusted as a function of the parameters relating to another living space (eg considered a first living space compared to the first living space). In other words, a section MI-b of the media content MI2 is a communication message MS1, MS2, . . . AM1, AM2, AM3, . . . The media content MI1, MI2, propagated sound waves in the respective living space 1, 1 ', 1''correspond. This can also be output by means of headphones or an (individual) image output device or be perceptible or made perceptible by the at least one person.

The bar (b) shows in the 4 a symbolically illustrated flow of communication Ka, Kb, Kc, K-a', ... within the first living space 1, 1', 1''. Exemplary time intervals for the sections Ka, Kb, Kc, K-a', ... of the communication are marked with different textures in the figure. These correspond to different effectiveness or expected effects.

In this example, a measure of the effect or the effectiveness of the sections is partly taken at about the same time interval, partly retrospectively, partly predictively, e.g. on the basis of a predicted section of the communication K-a', K-b', K-c', K- a'' or based on the pre-read data of the media content M11, MI2, ..., determined and taken into account in the process. The measure of effect or effectiveness and/or a parameter of the context, e.g. a parameter of the scene PS1, PS2, .... is used in this example as a normalization factor or reference value for the corresponding parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a'..., or PRMI-a, PRMI-b, PRMI-c,...) the reaction of the at least one person within the first living space 1, 1', 1 '' taken into account. A corresponding parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, ...) of the reaction can be a deviation (e.g.: a measure of deviation as a difference, factor, etc.) from an expected value, particularly given the context.

The bar (c) shows in the 4 a symbolically represented parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person to the sections of the Communication Ka, Kb, Kc, Ka' or to the sections MI-a, MI-b, MI-c of the media content M11, MI2, . . . The parameters relate to the corresponding time intervals in which the reaction is determined. For example, the parameters of the reactions of the at least one person within the first living space 1, 1', 1'' can be determined as a function of the (determined, determined) time intervals. In other words, the parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of at least one person to the corresponding (this reaction-triggering) sections Ka, Kb, Kc, Ka' of the communication or the sections MI-a, MI-b, MI-c of the media content MI1, MI2, ... are assigned. In this example, the one or more parameters of the person's reaction are determined or taken into account only or predominantly at the corresponding time intervals. This avoids the collection and processing of (possibly) unnecessary, less meaningful, inaccurate, critical parameters or parameters that the person has not authorized for evaluation. The corresponding time intervals for recording the reaction are short, approx. 0.1 - 5 seconds can be selected. In this example, the corresponding time intervals for detecting the reaction are somewhat later than the corresponding stimuli (Ka, Kb, Kc, K-a', ... MI-a, MI-b, MI-c, ...). chosen. The corresponding time intervals can be approximately 0.1-10 seconds, preferably 0.5-5 seconds after the corresponding sections of the communication Ka, Kb, Kc, Ka' or after the corresponding sections MI-a, MI-b, MI- c of the media content MI1, MI2, ... be.

At least two reactions from at least one person (or from two or more people) are determined and taken into account in the process. For example, the at least one parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, ...) of a first reaction at least predominantly relates to at least a more or less immediate, preferably at least partially unconscious, reaction of the at least one person. For example, the at least one parameter PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, ... of a second reaction relates at least predominantly to a further, typically later, at least partially conscious, reaction of the at least one person. At least two (e.g. specific, different) time intervals can be used to determine a first reaction (e.g. 0.1-2 seconds after the communication or media content section) and to determine a second reaction (e.g. 1-10 seconds after the section of the communication or the media content) are used or taken into account.

In this example, by determining these time intervals or by selecting the parameters from specific time intervals, it is possible to determine a first, predominantly unconscious and/or a second, predominantly unconscious reaction, in particular a distinction between a parameter of a predominantly conscious and a predominantly unconscious reaction of the person. For example, the physical activity of the person is recorded in the (specific or selected) time slots, e.g. by means of a camera. In the corresponding time slots, particularly meaningful parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c...) of the corresponding reactions of the at least one person to be identified. It can thus be ensured that the parameters of the reactions (only or at least predominantly) relate to certain (short) sections.

Furthermore, the at least one parameter PS1, PS2, ... of the scene S1, S2, ... S8 within the first living space 1, 1', 1'', the parameter PE1, PE2, ... of the emotion, and/ or the parameter PA1, PA2, ... of the intention of the at least one person (at the time interval and/or at a previous time interval) is determined and taken into account. These relate, for example, at least in part to a corresponding time interval before the time interval of the corresponding sections K-a, K-b, K-c, K-a' of the communication, or of the sections MI-a, MIb, MI-c of the multimedia section M11, MI2, .... These parameters are related to the parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c ...) of the reaction of the at least one person taken into account. In this example, the parameters (PS1, PS2, ... PS8) of the scene S1, S2, ... S8 within the first living space 1, 1', 1'', parameters (PE1, PE2, ...) of the Emotion and/or parameters (PA1, PA2, ...) of the intention of the at least one person within the first living space 1, 1', 1'' together with the respective parameters (PBL1, PBL2, ...) of the physical agitation of the person, wherein the physical agitation occurs on the sections K-a, K-b, K-c, K-a' of the communication or sections MI-a, MI-b, MI-c, of the media content M11, MI2, . . . In this example, the parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person already takes into account the current and/or previous context in which the reaction of at least one person came about.

A superimposed or overlapping and/or priming effect of a section K-a, K-b, K-c, K-a' of the communication and a section MI-a, MI-b, MI-c, ... of the media content MI1, MI2, .. .are determined and taken into account. For example, the one or more parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person to a section MI-a, MI-b, MI-c of the media content MI1, MI2, ... in the context of the (specific) communication K-a, K-b, K-c, K-a', or the one or more parameters (PRK-a, PRK-b, PRK-c, PRK-a', ...) the reaction of the at least one person to a section K-a, K-b, K-c, K-a' of the communication in the context of the (specific) media content MI1, MI2, ... or the media content MI1, MI2, with specific parameters (PWMI-a, PWMI -b, PWMI-c, ...) of the effect or effectiveness are determined and taken into account.

For example, at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated, the communication message MS1, MS2, ... AM1, AM2, AM3, in particular the one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, in such a way that one or more parameters (PRMI-a, PRMI-b, PRMI-c, . ..) the reaction of the at least one person P2, P2', P2'' and/or a parameter of the effect of the communication message MS1, MS2, . . . AM1, AM2, AM3 can be changed towards a target value. For example, one or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3 are determined or adjusted by the at least one neural network DNN1, DNN2, DNNZ in such a way that a desired or selected) target or target value regarding the reaction (PBL1, PBL2, ...) or (PRK1-a, PRK1-b, PRK1-c, PRK-a', ...) of a person P2, P2', P2'' and/or the effect of the communication message MS1, MS2, ... AM1, AM2, AM3 is sought, in particular achieved.

Furthermore, in the 4 represented symbolically in a timeline. The markings here correspond, for example, to the exemplary time segments of one or more seconds.

5 illustrates a variant of the system and the course of the procedure.

The method can be used as a method for setting up and updating (update) at least one personality model PM1, PM1', PM1'', .... PM2, PM2', PM2'' and/or an avatar AV1, AV1', AV1'' , ... AV2, AV2', AV2''. The personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' and/or an avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'' are displayed Realized on the basis of the neural networks DNN1, DNN2, DNNZ (i.e. in particular these include or are operated depending on these). In this example, setting up or updating includes training or updating the corresponding neural network DNN1, DNN2, DNNZ. The method can be or include training of the at least one neural network DNN1, DNN2, DNNZ and/or a method for operating the at least one neural network DNN1, DNN2, DNNZ.

In the vicinity of the first user device AG1, in particular in a living space 1, there are first persons P1, P1'. P1''. The user device AG1 comprises at least one neural network DNN1, DNNZ and/or is controlled by a neural network DNN1, DNNZ. In the method, the at least one neural network DNN1, DNNZ can be trained and/or operated (also to be understood in particular: used).

Furthermore, a first personality model PM1, PM1′, PM1″ or a first avatar AV1, AV1′, AV1″ is generated on the second user device AG2 and/or in a virtual space VR. These can be operated by the at least one neural network DNN2, DNNZ.

In the vicinity of the second user device AG2, in particular in a living space 2, there are second persons P2, P2', P2''. The user device AG2 comprises at least one neural network DNNZ, DNN2 and/or is controlled by a neural network DNNZ, DNN2. At least one neural network DNNZ, DNN2 can be trained and/or operated (used) in the method.

• - Einflussnahme der (jeweils lokaler) Parameter aus der Umgebung des jeweiligen Anwendergeräts;
• - Die Einflussnahme der (jeweils lokaler) Parameter aus der Vergangenheit;
• - Einflussnahme eines oder mehrerer erster Parameter in der Umgebung eines ersten Anwendergeräts AG1', auf den einen oder mehrere erste Parameter aus der Umgebung eines anderen ersten Anwendergeräts AG1, AG'';
• - Einflussnahme der aktueller (etwa im demselben Zeitintervall gültiger) ersten Parameter auf die aktuelle (etwa im demselben Zeitintervall zu beeinflussende) zweite Parameter;
• - Einflussnahme der ersten Parameter aus der Vergangenheit auf die aktuelle zweite Parameter;
• - eine oder mehrere Querabhängigkeit unter den genannten Parametern.

The at least one recurrent neural network DNN1, DNN2, DNNZ is trained (in particular also to be understood as set up) and/or operated (in particular also to be understood as used), one or more of the following conditions (e.g. according to an optimization criterion OK1, OK2, OK3) to control or optimize:

• - Influencing the (each local) parameters from the environment of the respective user device;
• - The influence of (each local) parameters from the past;
• - Influencing one or more first parameters in the environment of a first user device AG1', on the one or more first parameters from the environment of another first user device AG1, AG'';
• Influencing the current first parameter (valid approximately in the same time interval) on the current second parameter (to be influenced approximately in the same time interval);
• - Influence of the first parameter from the past on the current second parameter;
• - one or more cross-dependencies among the parameters mentioned.

The at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated within or for operating the respective user device or the system. This can be done with a trainer (a unit for executing the training of the at least one neural network). Alternatively or additionally, the system can include an "updater" with which the at least one neural network DNN1, DNN2, DNNZ is updated, in particular regularly, according to maintenance intervals or versions of a new product, e.g. with learning data (e.g. checkpoints).

First information i1 for stimulating or influencing the one or more first persons P1, P1', P1'', in particular for stimulating or influencing at least one internal communication Ka, Kb, Kc, Ka' between the first persons P1, P1 ', P1'' and/or the at least one Response of the at least one first person P1, P1', P1'' used. The first information i1 can be used to change a media content MI2 to be output (by the user device or another output device AV-SSA1), whereby the reaction of the at least one person (e.g. to a changed media content or a specific change in the media content) is stimulated or is changed. Alternatively or additionally, second information i2 with corresponding features can be used to influence the one or more second persons P2, P2', P2''.

The at least one communication message MS1, MS2, ... AM1, AM2, AM3 ... can be generated in the vicinity of the second user device AG2 (e.g. using the at least partially trained neural network DNN1, DNN2, DNNZ). The at least one parameter of the reaction (PBL2, ...) of the at least one second person P2, P2', P2'' to the at least one communication message MS1, MS2, ... AM1, AM2, AM3 ... and/or a Parameters of the effect of the communication message MS1, MS2, ... AM1, AM2, AM3 ... is determined. This can be determined depending on the at least one physical impulse (PBL2, . . . ) of the at least one second person P2, P2', P2''. For example, a reaction, effect (also to be understood as a change in the reaction or effect) is determined in connection with the at least one communication message MS1, MS2, . . . AM1, AM2, AM3 . This can be determined from the corresponding change in physical activity (PBL2, . . . ) of the at least one second person P2, P2', P2''. The reaction (PBL2, ...) or the effect can also relate to at least one personality model or avatar.

The information determined is used to set up and/or update the second personality model PM2, PM2', PM2'' of the one or more second persons P2, P2', P2'' and/or a first avatar AV1, AV1', AV1'' processed by one or more first persons P1, P1', P1''. Alternatively or additionally, the information determined is processed to operate, in particular to control, the second personality model PM2, PM2', PM2'' and/or a first avatar AV1, AV1', AV1''. In particular, the determined information can be processed to train the at least one neural network DNN1, DNN2, DNNZ and/or to operate, in particular to control, the neural network DNN1, DNN2, DNNZ during operation.

The processing (respectively VF1 or VF2) can include an aggregation of the data. In particular, data based on the determined information is used as feedback F1, F1', F1'' or F2, F2', F2'' for training and/or operating the at least one neural network DNN1, DNN2, DNNZ, in particular the one with the respective personality models or avatars of corresponding neural networks DNN1, DNN2, DNNZ used. The second parameters, the parameters of the communication message, the parameter of the reaction to or the effect of the communication message can be assigned to one another.

The initiation of a triggering or influencing of the reaction (PBL1, ...) of the one or more persons P1, P1', P1'' on a first user device AG1, AG1', AG1'', dependent on the at least one first piece of information i1, in particular by means of a first communication message AS1', AS2', . . . AM1', AM2', AM3', can take place depending on the neural network DNN1, DNN2, DNNZ. The first information i1 or the second information i2 can be prompted to set up (train or configure) and/or to operate the at least one personality model PM1, PM1', PM1'', .... PM2, PM2', PM2' 'And/or an avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'', in particular to be understood of the at least one (corresponding) neural network DNN1, DNN2, DNNZ. For example, first information i1 or second information i2 can be determined or initiated depending on the trained neural network DNN1, DNN2, DNNZ and/or during or for training the neural network DNN1, DNN2, DNNZ.

For example, the first piece of information i1 can be determined and/or prompted to determine at least one reaction (PBL1, ...) from the at least one first person P1, P1', P1'' and/or an effect (i.e. one or more measures of the effect or To determine the effectiveness (PWMI-a, PWMI-b, PWMI-c, ...) of certain sections of media content M11, MI2. The information determined, in particular a parameter of the reaction or effect and/or corresponding first parameters, are sent to the Neural network DNN1, DNN2, DNNZ provided or read by it. A training process (machine learning) and/or operation (of an already at least partially trained) neural network DNN1, DNN2, DNNZ can then be carried out. The at least one first Information i1 generated by the neural network to be trained DNN1, DNN2, DNNZ can be influenced, in particular (directly or indirectly) controlled This can take place depending on the output of the neural network (e.g. during training). For example, this can be done with the trainer or by the trainer (or the module denoted as such in the figure with whatever processing, circuitry, device is set up).

For example, a parameter of the first information i1, a selection of a first user device AG1, AG1′, AG1″ to which this is to be output can be made depending on the training process, in particular depending on the neural network DNN1, DNN2, DNNZ to be trained. The user device AG1, AG1′, AG1″, the person P1, P1′, P1″, the living space 1, 1′, 1″ can be selected depending on the corresponding first parameters.

For example, the user device AG1, AG1′, AG1″, the person P1, P1′, P1″, the living space 1, 1′, 1″ for initiating the at least one first piece of information i1 can be selected depending on which context, Scene, groups of people, historical data, communications, media content are present or expected there. The first information i1 can be initiated in order to obtain the reactions or effects of persons in specific contexts, scenes, communications, etc. or as different as possible. Alternatively or additionally, second information i2 with corresponding features can be used to influence the one or more second persons P2, P2', P2''.

In particular, the data sections to be processed for training and/or operation can be selected and/or excluded on the basis of first parameters and/or data sections on the basis of second parameters. The selection and/or exclusion can be based on predetermined criteria. For example, data sections corresponding to a desired effect (e.g. a successful or non-targeted communication) can be given priority (whereby the neural network DNN1, DNN2, DNNZ can be rewarded on their basis) and/or an undesired effect (e.g. a successful or non-targeted communication) corresponding data sections (on the basis of which the neural network DNN1, DNN2, DNNZ can be punished) can be selected. Furthermore, portions of data may be excluded that meet a particular (eg, predefined) exclusion condition, and/or do not match any of one or more predefined patterns, and/or correspond to an average, unexpected, or unclear response. This can be done in a device VF1 or VF2 (cf. 6 ) are provided. The second information item i2 or data corresponding thereto can be used analogously.

A selection of one or more data sections, an exclusion of one or more data sections and/or a division of the data sections into several (different) categories can be carried out for training the at least one neural network. The selection, exclusion and/or division into several categories can take place depending on the achievement of the goal or goal value corresponding to the data sections. For example, data sections can be selected that correspond to deviations from a target or the target value (e.g. in the case of a large number of time intervals, changes, communication messages, etc.).

For example, several (first and/or second) parameter sets are determined and taken into account, which have resulted or have been determined in the past due to the different determination or adaptation of the parameters of the communication message, in particular due to different parameters or combinations of parameters. Alternatively or additionally, parameters of a communication message that is not supported or only partially supported (e.g. by determining or adjusting the parameters) can be used. These can, for example, be evaluated with any means with regard to their respective achievement of the goal or deviation from the target value and used to generate the training data. Such data can be determined on the basis of (conventionally) routed telecommunications connections.

Thereafter, selection, exclusion, and/or partitioning of data portions, e.g., into multiple categories, may be performed. For example, a backpropagation, in particular the error backpropagation for training the at least one neural network DNN1, DNN2, DNNZ, can be determined depending on the selected data sections or on one or more different categories of data sections assigned.

For example, when the at least one neural network DNN1, DNN2, DNNZ is trained, the backpropagation is determined as a function of the effect achieved in each case or the reaction stimulated, in particular of a deviation from a target value. For example, first data sections that correspond to a comparatively smaller achieved effect or reaction or a high deviation from the target value and/or second data sections that correspond to a comparatively large achieved effect or reaction or a small deviation from the target value are selected. These can be used to train the at least one neural network DNN1, DNN2, DNNZ, for example to determine the back propagation, or respectively for rewarding or punishing the neural network DNN1, DNN2, DNNZ. For example, the error back propagation can be determined depending on the first data sections and/or the second data sections. Furthermore, data sections can be predominantly excluded that correspond to only an average effect or reaction or deviation from the target value. Such data for backpropagation can be determined by outputting the first information item i1 or the second information item i2 (for example, which has been appropriately determined or selected).

Processes of this type can be carried out (e.g. several times, regularly when an update is possible or required) in a training phase for generating a checkpoint, e.g. for operating the at least one neural network DNN1, DNN2, DNNZ.

At least two neural networks DNN1, DNN1', DNN1'' or DNN2, DNN2', DNN2'' or DNNZ, DNNZ' DNNZ'' for different user devices AG1, AG1', AG1'' or AG2', AG2', AG2'' can be trained and/or operated at least partially independently and/or at least partially dependent on one another. These can be implemented in the respective user devices AG1, AG1', AG1'' or AG2', AG2', AG2'' and/or in the computing unit R2 and the method steps for the respective user devices AG1, AG1', AG1'' or Execute AG2', AG2', AG2''. For example, a neural network for a group of people can be set up, trained and/or operated depending on one or more neural networks for smaller groups of people (e.g. defined as a subset of the people) of the individual or specific people. Alternatively or additionally, at least two neural networks DNN1, DNN1′, DNN1″ or DNN2, DNN2′, DNN2″ can be trained and/or operated independently of one another for similar people or groups of people who communicate with one another. For example, the input layer of a neural network DNN1 can be controlled depending on the output layer of a neural network DNN2 or DNNZ or vice versa. Such an operation or interconnection of the neural networks DNN1, DNN2, DNNZ can contribute to a better achievement of the goal or target value.

For example, one or more inputs of the at least one neural network DNN1, DNN2, DNNZ can be used to determine or adapt the parameters of a communication message from a first person P1 (or a first user device AG1) to the second person P2 (or a first user device). (e.g. also) depending on one or more first parameters and/or second parameters of one or more other first user devices AG1, AG1', AG1'' and/or second user devices AG2, AG2', AG2''.

For example, the at least one neural network DNN1, DNN2, DNNZ, in particular an interconnection or combination of the one or more neural networks DNN1, DNN2, DNNZ, for operating one or more personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' or one or more avatars AV1, AV1', AV1'', ... AV2, AV2', AV2'', in particular corresponding to specific persons P1, P1', P1'', . .. P2, P2', P2'' or user devices AG1, AG1', AG1'', ... AG2, AG2', AG2'', are trained and/or operated.

The personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' or avatars AV1, AV1', AV1'', ... AV2, AV2', AV2'' or at least that a (e.g. corresponding) neural network DNN1, DNN2, DNNZ can be used for certain types of communication, communication messages, goals or target values (e.g. for effect or reaction), a communication group or a number of people P1 chosen according to any specific criteria, P1', P1'', ... P2, P2', P2'' are set up (e.g. trained or configured) and/or operated. Complex person-specific characteristics, group dynamics and group psychological effects can be better taken into account.

For example, a text communication, a linguistic (e.g. auditory), verbal and/or non-verbal communication between the personality models or avatars (also) within the first persons P1, P1 ', P1'' and/or within the second persons P2, P2', P2''. In other words, communication can (also) be carried out within a communication party or audience P2, P2′, P2″ or P1, P1′, P1″. This can be a simulated communication SKB12, . . . SKB21, . . . and/or a communication relating to the (effective) content of the communication KB12, . Depending on the course of the communication, information for supporting the interpersonal communication KB1, . . . KB21, . . . can be ascertained (and made available).

The 6 illustrates a variant of the system and features of the process flow.

In addition to the figures and reference symbols already discussed, setting up and/or operating one or more personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' and/or avatars AV1, AV1', AV1 '',...AV2,AV2',AV2''. In particular, the training or operation of the at least one (e.g. with one or more specific personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' or avatar AV1, AV1', AV1'' , ... AV2, AV2', AV2'' corresponding) neural network DNN1, DNN2, DNNZ. In particular, this is illustrated in connection with a number of first user devices AG1, AG1', AG1'' and a number of second user devices AG2, AG2', AG2''. The data representing the parameters discussed in the present document are processed to train and/or operate the at least one neural network DNN1, DNN2, DNNZ. In particular, the feedback F1, F1′, F1″ or F2, F2′, F2″ (to be used for training) is determined and used. The feedback F1, F1′, F1″ or F2, F2′, F2″ can depend on the effect achieved in each case (e.g. with the respective second person P2, P2′, P2″), in particular depending on the comparison of the Effect determined with a target value and/or used to train the at least one neural network DNN1, DNN2, DNNZ.

In a module or processing step VF1 or VF2, the data from a large number of first user devices AG1, AG1′, AG1″ or the second user devices AG2, AG2′, AG2″ can be compared, selected and/or processed. For example, data (at least approximately or predominantly) corresponding to (a respective) target value will be generated during training to reward the at least one neural DNN1, DNN2, DNNZ and/or the data not (at least approximately or predominantly not) corresponding to (a respective) target value will be generated during training used to punish the at least one neural DNN1, DNN2, DNNZ.

Of course, other users P1, P1', P1'', ... P2, P2', P2'' or Data related to living rooms 1, 1′, 1″, ... or 2, 2′, 2″ are (also) used appropriately. Preferably, a significant part of the total training data and/or input data for operating the at least one neural network DNN1, DNN2, DNNZ can be determined depending on the first parameters and/or second parameters described in the present document. These can form more than 50, 75, 90, 95% of the total data or parameters used. The data dependent on the first parameters and/or second parameters described in the present document and/or the neural network DNN1, DNN2, DNNZ trained with the data can alternatively or additionally be used to operate and/or train a (e.g. from the one described in the present document Communication at least partially dependent, at least partially dependent or essentially independent) application, e.g. a language assistant or a voice control, facial expression control or gesture control can be used.

The term “operation” can be understood to mean using the at least one neural network DNN1, DNN2, DNNZ, in particular in active operation (e.g. for generating or adapting communication messages). Operating the at least one neural network DNN1, DNN2, DNNZ can alternatively or additionally include or be operating the corresponding functionality by means of the neural network DNN1, DNN2, DNNZ. The at least one neural network can be controlled during its operation (at its input layer) and/or can control a functionality. In particular, the at least one neural network DNN1, DNN2, DNNZ (e.g. the input layer of the neural network) is controlled during operation with information dependent on the one or more first parameters and/or one or more second parameters. Alternatively or additionally, the generation of the communication message KB12, KB1'2, KB1''2, the parameters of the communication message MS1, MS2, ... AM1, AM2, AM3 ... depending on the output layer of the neural network DNN1, DNN2, DNNZ (e.g. output at the output layer or controlled by it).

In particular, setting up and/or operating one or more personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' and/or avatars AV1, AV1', AV1'', ... AV2 , AV2', AV2'' (in particular the corresponding neural networks DNN1, DNN2, DNNZ) for one or more specific groups of people, specific people, specific combinations of people, specific types of communication, specific directions of communication messages, specific contexts, situations . The effectiveness of the method can thereby be increased.

Setting up and/or operating one or more personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' and/or avatars AV1, AV1', AV1'', ... AV2, AV2' , AV2'', in particular the training of the at least one (e.g. corresponding) neural network DNN1, DNN2, DNNZ can be based on comparatively larger or more general cases (e.g. based on an at least partially trained neural network DNN1, DNN2, DNNZ, for a number of people, in particular a group of people or people belonging to one or more groups of people), in particular in one or more steps, for smaller or more specific cases (e.g. for people belonging to certain Groups of people, for specific groups of people, for certain people, for more specific parameters) are trained (e.g. further trained or respectively retrained). In this sense, transfer learning can be carried out in relation to the at least one neural network DNN1, DNN2, DNNZ.

For example, the at least one neural network DNN1, DNN2, DNNZ is initially trained on the basis of cases, parameters or categories that cannot be distinguished or roughly (e.g. in 4-8 classes) or are differentiated. The first data of the neural network DNN1, DNN2, DNNZ can thus be generated. These can already be used for operation. Further training is preferably carried out on the basis of the first data, with cases, parameters or categories that can be distinguished or differentiated more finely (e.g. in 8-64 classes) being trained. One or more data sets of the second data of the neural network DNN1, DNN2, DNNZ can be generated, which (respectively) together or in addition to the first data are suitable for handling specific cases or a large number of cases.

• - Wertebereichen, Klassen und/oder Muster erster Parameter; (z.B. Szenen, Kontexte, Arten der Kommunikation, etc. in der Umgebung erster Anwendergeräte)
• - Wertebereichen, Klassen und/oder Muster zweiter Parameter; (z.B. Szenen, Kontexte, Arten der Kommunikation, etc. in der Umgebung erster Anwendergeräte)
• - Zugehörigkeit zu Personengruppen;
• - Kombinationen von Personen zugehörig zu unterschiedlichen Personengruppen;
• - bestimmte erste Personen und/oder bestimmte zweite Personen;
• - bestimmte Kombinationen bestimmter ersten Personen und/oder bestimmter zweiter Personen;
• - Kommunikationsbotschaften die in bestimmte Richtungen, z.B. von (auch zu verstehen im Namen, im Auftrag) einer oder mehreren bestimmten ersten Personen an eine oder mehrere bestimmte zweite Personen gerichtet sind.

For example, the first data predominantly represent the layers of the neural network DNN1, DNN2, DNNZ that are close to the input layer and the second data (eg respective multiple data sets of the second data) predominantly represent the layers of the neural network DNN1, DNN2, DNNZ that are close to the output layer. In particular, the first data and second data can be expediently combined (eg during training, updating and/or operation). For example, after a first training that relates to an entry from the following list, a second training (e.g. a corresponding transfer learning) can be carried out that relates to one or more of the following entries:

• - value ranges, classes and/or patterns of first parameters; (e.g. scenes, contexts, types of communication, etc. in the environment of first user devices)
• - value ranges, classes and/or patterns of second parameters; (e.g. scenes, contexts, types of communication, etc. in the environment of first user devices)
• - membership of groups of people;
• - Combinations of people belonging to different groups of people;
• - certain first persons and/or certain second persons;
• - certain combinations of certain first persons and/or certain second persons;
• - Communication messages that are directed in specific directions, eg from (also to be understood in the name of, on behalf of) one or more specific first persons to one or more specific second persons.

The 7 illustrates some examples for carrying out the method, in particular for setting up and/or operating one or more personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' and/or avatars AV1, AV1', AV1 '', ... AV2, AV2', AV2'', in particular the corresponding neural networks DNN1, DNN2, DNNZ.

• - Ermitteln eines oder mehrerer ersten Parameter betreffend zumindest eine erste Person (P1, P1', P1''), insbesondere mittels eines oder mehrerer ersten Anwendergeräte AG1, AG1', AG1'' und/oder eines oder mehrerer zweiten Parameter betreffend zumindest eine zweite Person (P2, P2', P2''), insbesondere mittels eines oder mehrerer ersten Anwendergeräte AG2, AG2', AG2''; und daraufhin:
• - Unterstützen einer zumindest teilweise zwischenmenschlichen Kommunikation (KB12, ... KB 21, ...) zwischen (z.B. mit Beteiligung) der einen oder mehreren ersten Personen (P1, P1', P1'') und einer oder mehreren zweiten Personen (P2, P2', P2''), wobei das Unterstützen abhängig von der Ausführung eines oder mehrere ersten Persönlichkeitsmodelle (PM1, PM1', PM1'') oder erste Avatare (AV1, AV1', AV1'') einer oder mehreren ersten Personen (P1, P1', P1'') und/oder eines oder mehrere zweite Persönlichkeitsmodelle (PM2, PM2', PM2'') oder zweite Avatare (AV1, AV1', AV1'') einer oder mehreren zweiten Personen (p2, P2', P2'');

The method of supporting interpersonal communication (KB12, ... KB 21, ...) may include or be:

• - Determine one or more first parameters relating to at least one first person (P1, P1', P1''), in particular by means of one or more first user devices AG1, AG1', AG1'' and/or one or more second parameters relating to at least a second Person (P2, P2', P2''), in particular by means of one or more first user devices AG2, AG2', AG2''; and then:
• - Support at least partially interpersonal communication (KB12, ... KB 21, ...) between (e.g. with participation) the one or more first persons (P1, P1', P1'') and one or more second persons (P2 , P2', P2''), the supporting depending on the execution of one or more first personality models (PM1, PM1', PM1'') or first avatars (AV1, AV1', AV1'') of one or more first persons ( P1, P1', P1'') and/or one or more second personality models (PM2, PM2', PM2'') or second avatars (AV1, AV1', AV1'') of one or more second persons (p2, P2' , P2'');

• - das ein oder mehrere erste Persönlichkeitsmodelle (PM1, PM1', PM1'') oder erste Avatare (AV1, AV1', AV1'') abhängig von den ersten Daten betreffend eine oder mehrere erste Personen (P1, P1', P1'') eingerichtet (z.B. trainiert und/oder konfiguriert), und/oder betrieben werden; und/oder
  • - das ein oder mehrere zweite Persönlichkeitsmodelle (PM2, PM2', PM2'') oder zweite Avatare (AV1, AV1', AV1'') abhängig von den zweiten Daten betreffend eine oder mehrere zweite Personen (P2, P2', P2'') eingerichtet (z.B. trainiert und/oder konfiguriert), und/oder betrieben werden.

In doing so:

• - the one or more first personality models (PM1, PM1', PM1'') or first avatars (AV1, AV1', AV1'') depending on the first data concerning one or more first persons (P1, P1', P1'') ) set up (e.g. trained and/or configured), and/or operated; and or
  • - the one or more second personality models (PM2, PM2', PM2'') or second avatars (AV1, AV1', AV1'') depending on the second data concerning one or more second persons (P2, P2', P2'') ) set up (e.g. trained and/or configured) and/or operated.

Setting up (eg training, configuring or updating) can relate to a (eg comparatively long-term) nature of the personality models or avatars. The setup can take place depending on the processed, cumulative first parameters and/or second parameters or depending on the training data based on the first parameters and/or second parameters.
Operating, in particular controlling, can relate in particular to the mode (eg to be executed at the moment), state or various control variants of the personality models or avatars. The operation can take place depending on the current and/or predicted first parameters (eg relevant for a communication to be supported) and/or second parameters.

In particular, there is no direct control of the parameters of the communication message as a function of the first parameter and/or second parameter. For example, there is no (e.g. predetermined or known) mathematical relationship between the communication message and the first parameter and/or second parameter. Rather, the personality models or avatars (which can be set up or operated depending on the first or second parameters) can carry out more or less independent communication or actions (predominantly not corresponding to specific commands or an implemented function).

• - abhängig von einem oder mehreren ersten Parameter (PK1, PK2, ... PK9) einer oder mehreren Kommunikationen (K1-a, K1-b, K1-c, K1-a', ...) einer oder mehreren ersten Personen (P1, P1', P1'') und/oder eines oder mehrerer ersten Parameter (PRMI-a, PRMI-b, PRMI-c ...) einer Reaktion einer oder mehreren ersten Personen (P1, P1', P1'') auf einen Mediainhalt (MI1, MI2, ...); und/oder
• - abhängig von einem oder mehreren zweiten Parameter (PK1, PK2, ... PK9) einer oder mehreren Kommunikationen (K1-a, K1-b, K1-c, K1-a', ...) einer oder mehreren zweiten Personen (P2, P2', P2'') und/oder eines oder mehrerer zweiten Parameter (PRMI-a, PRMI-b, PRMI-c ...) einer Reaktion einer oder mehreren zweiten Personen (P2, P2', P2'') auf einen Mediainhalt (MI1, MI2, ...);

trainiert und/oder betrieben (z.B. im Zusammenhang mit dem Betrieb) gesteuert ist.For example, a neural network (DNN1, DNN2, DNNZ) on which (each) a first personality model (PM1, PM1', PM1'') or avatar (AV1, AV1', AV1'') is based:

• - depending on one or more first parameters (PK1, PK2, ... PK9) one or more communications (K1-a, K1-b, K1-c, K1-a', ...) one or more first persons ( P1, P1', P1'') and/or one or more first parameters (PRMI-a, PRMI-b, PRMI-c ...) of a reaction of one or more first persons (P1, P1', P1'') to a media content (MI1, MI2, ...); and or
• - depending on one or more second parameters (PK1, PK2, ... PK9) of one or more communications (K1-a, K1-b, K1-c, K1-a', ...) of one or more second persons ( P2, P2', P2'') and/or one or more second parameters (PRMI-a, PRMI-b, PRMI-c ...) of a reaction of one or more second persons (P2, P2', P2'') to a media content (MI1, MI2, ...);

trained and/or operated (e.g. in connection with the operation).

• die ein oder mehrere erste Parameter betreffend zumindest eine erste Person (P1, P1', P1'') eine oder mehrere Wirkungen einer oder mehrerer von der einen oder mehreren ersten Personen (P1, P1', P1'') wahrgenommenen Informationen auf die eine oder mehrere erste Personen (P1, P1', P1'') und/oder eine oder mehrere erste Reaktionen der einen oder mehrerer Personen (P1, P1', P1'') auf zumindest eine von der einen oder mehreren Personen (P1, P1', P1'') wahrgenommene Information.
• und/oder
• ein oder mehrere zweite Parameter betreffend zumindest eine zweite Person (P2, P2', P2'') eine oder mehrere Wirkungen einer oder mehrerer von der einen oder mehreren zweiten Personen (P2, P2', P2'') wahrgenommenen Informationen auf die eine oder mehrere zweite Personen (P2, P2', P2'') und/oder eine oder mehrere Reaktionen der einen oder mehrerer zweiten Personen (P2, P2', P2'') auf zumindest eine von der einen oder mehreren zweiten Personen (P2, P2', P2'') wahrgenommene Information.

In an example that can be combined with all the characteristics described in this document, mark:

• the one or more first parameters relating to at least one first person (P1, P1', P1'') one or more effects of one or more pieces of information perceived by the one or more first persons (P1, P1', P1'') on the one or several first persons (P1, P1', P1'') and/or one or more first reactions of the one or more persons (P1, P1', P1'') to at least one of the one or more persons (P1, P1 ', P1'') perceived information.
• and or
• one or more second parameters relating to at least one second person (P2, P2', P2'') one or more effects of one or more pieces of information perceived by the one or more second persons (P2, P2', P2'') on the one or multiple second persons (P2, P2', P2'') and/or one or more reactions of the one or more second persons (P2, P2', P2'') to at least one of the one or more second persons (P2, P2 ', P2'') perceived information.

The at least one piece of information perceived by the one or more first persons and/or the at least one piece of information perceived by the one or more second persons can be information in the past, before and/or during the execution of the support for interpersonal communication trade perceived information.

The information perceived on one or more first persons and/or second persons can, for example, be generated information or information relating to the user device that is at least partially interpreted by the user device of the respective person. For example, the perceived information, a message from a communication partner, can first be interpreted (partly automatically) by means of the user device, or interpreted information can be output to the respective person. Thus, answering, commenting, interpreting the at least one piece of information can be (further) simplified.

The information perceived by the respective person can also be information received by the person (e.g. through the same user device or otherwise, e.g. from an environment). The at least one item of information perceived by the respective person, in particular information received by the respective person, can in particular be a message from a communication partner that has been retrieved and/or to be answered (also commented on so that it can be understood).

The reaction of the at least one person within the meaning of this example can include or be an operator action, in particular an operator action that is significantly simpler or simplified compared to an information input, such as an input of comparable texts, content, audio information. The at least one reaction of the person to the information perceived can preferably include or be a physical movement, in particular a gesture, facial expressions, etc. In particular, the reaction can include or be body language or an expression in body language.

In particular, the method can be executed, e.g. personality models or avatars can be operated, without (typically undesirable) explicit knowledge of all or many (e.g. exceeding a desired level) data of a respective other person (e.g. within the communication party or the communication partner) or (first and/or second) parameter.

Furthermore, the parameters used in the method (eg in the present examples) are illustrated by way of example. These include (partly in the 7 symbolically represented) parameters (PK1, PK2, ..., PK9), (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a') of the first communication K1-a, K1-b, K1- c, K1a' and the parameters (PK1, PK2, .... PK9), (PRK2-a, PRK2-b, PRK2-c, ... PRK2-a') of the second communication K2-a, K2- b, K2-c, K2a'. Further first parameters and/or second parameters are determined and used in the corresponding manner. For example, the data corresponding to the communications or to these parameters, persons or user devices can be used.

Parameters (PK1, PK2, ... PK9), (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a') of the first communication K1-a, K1-b, K1-c, K1a' and/or parameters PK1, PK2, .... PK9), (PRK2-a, PRK2-b, PRK2-c, ... PRK2-a') of the second communication K2-a, K2-b, K2 -c, K2a 'are used, which are determined on the use of a first piece of information i1 or a second piece of information i2. These can each be a result of influencing or stimulating the one or more first persons P1, P1′, P1″ or one or more second persons P2, P2′, P2″ by using the first information i1 or a second Label information i2.

Alternatively or additionally, the parameters (PRMI-a, PRMI-b, PRMI-c) of the reaction of the one or more first persons P1, P1', P1'' or one or more second persons P2, P2', P2'' on a section of media content MI1, MI2. Furthermore, the first and/or second parameters (PRMI-a, PRMI-b, PRMI-c) of the reactions of the first persons P1, P1', P1'' and/or second persons P2, P2', P2'' can be determined and be used, which is a result of influencing or stimulating the one or more first persons P1, P1', P1'' or one or more second persons P2, P2', P2'' through the use of the first information i1 or a mark second information i2.

The first parameter and/or second parameter can, for example, identify a relationship to the one or more parameters of the first information item i1 or the second information item i2. In particular, these characterize a (respective) relationship of the response to the stimulus. A first parameter and/or a second parameter therefore need not represent any absolute measures (e.g. of the reaction). These can (also only) characterize a relative measure, in particular as a function of the respective stimuli, e.g. the stimuli generated by the stimuli already given and/or by the use of the first information item i1 or the second information item i2. As already discussed, the first information i1 and/or second information i2 can be determined and/or initiated during operation and/or for training the at least one neural network DNN1, DNN2, DNNZ (e.g. depending on the neural network DNN1, DNN2, DNNZ.

The data determined as a function of the respective parameters (e.g. parameters in each appropriately processed form) can be used to set up, vary or control the mathematical relationship or to train and/or operate the at least one neural network DNN1, DNN2, DNNZ.

The training of the at least one neural network DNN1, DNN2, DNNZ with which the support of the communication (KB12, ..., KB21, ...) for the one or more first persons (P1, P1', P1'') is carried out or will be executed
depends on the operation and/or result of the operation of the at least one neural network (DNN1, DNN2, DNNZ) with which the communication (KB12, ..., KB21, ...) is supported for the one or more second persons ( P2, P2', P2'') is being executed or has been executed.

For example, the training data, in particular the determination and/or processing of training data, for training at least one neural network and/or data for operating the at least one neural network can be changed depending on a result achieved in one or more communications, preferably in a large number of different communications become.

This can be done depending on the result of one or more communications not supported by the method and/or by another variant of the method (e.g. previously set up, in particular different from the variant currently being trained) supported communications and/or by the method supported communications .

For example, the training data for training at least one neural network and/or control data for operating the at least one neural network for supporting the at least partially virtual communication can be used depending on the result of one or more communications, in particular one or more communications that are supported by the method and/or not by the method of supported communications may be varied.

• - abhängig von einem Parameter kennzeichnend ein Ergebnis der Kommunikation;

und/oder

• - abhängig von den Trainingsdaten, insbesondere zum Trainieren ermittelter und/oder verwendeter Trainingsdaten) eines oder mehrerer weiterer neuronaler Netze (z.B. einer oder mehreren weiteren ersten Personen und/oder einer oder mehreren zweiten Personen zugeordneten)

verändert werden.For example, training data for training the at least one neural network and/or a selection (e.g. a criterion for selecting the parameters) and/or mathematical dependency (e.g. formula, computer-implemented function) for determining the training data for the at least one neural network:

• - depending on a parameter indicating a result of the communication;

and or

• - depending on the training data, in particular training data determined and/or used for training) one or more additional neural networks (e.g. assigned to one or more additional first persons and/or one or more second persons)

to be changed.

• - abhängig von einem Parameter kennzeichnend ein Ergebnis der Kommunikation;

und/oder

• - abhängig von den Trainingsdaten, insbesondere zum Trainieren ermittelter und/oder verwendeter Trainingsdaten) eines oder mehrerer weiterer neuronaler Netze (z.B. einer oder mehreren weiteren ersten Personen und/oder einer oder mehreren zweiten Personen zugeordneten)

verändert werden.For example, data for operating, in particular controlling, the at least one neural network and/or a selection (e.g. a criterion for selecting the parameters) and/or mathematical dependency (e.g. formula, computer-implemented function) for determining data for operating the at least one (e.g neural network set up to support at least one first or second person:

• - depending on a parameter indicating a result of the communication;

and or

• - depending on the training data, in particular training data determined and/or used for training) one or more additional neural networks (e.g. assigned to one or more additional first persons and/or one or more second persons)

to be changed.

Furthermore, the 7 the support of interpersonal communication (to or for people) comprehensive exemplary functionalities (e.g. generator, adaptor, predictor, supporter) out be led. Furthermore, the persons for whom such functionalities can be executed are illustrated.

The method can be carried out at least partially using one or more personality models PM1, PM1', PM1'', .... PM2, PM2', PM2'' and/or avatars AV1, AV1', AV1'', ... AV2, AV2 ',AV2'' to be executed.

In this case, respective different communication messages MS1, MS2, ... AM1, AM2, AM3 ... or variants of Communication messages MS1, MS2, ... AM1, AM2, AM3 ... are generated. For example, the communication messages can differ in the body language or physical movements of the respective avatars AV1, AV1′, AV1″, . . . AV2, AV2′, AV2″ and/or prime stimuli or stimuli used as prime stimuli.

In another example of operation, a (e.g., one each) first avatar AV1, AV1', AV1'' appears opposite the one or more first persons P1, P1', P1''. In this case, this can be done, so to speak, to oneself or within the communication party. This can provide feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' to the one or more first persons P1, P1 ', P1'' generate, specifically output. This can characterize a state (e.g. simulated and/or predicted by means of the personality model or avatar AV1, AV1′, AV1″), state change, reaction of the one or more second persons P2, P2′, P2″. However, the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can also be output as any type of information output.

The feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can occur during or before the output (or perception) the communication message MS1, MS2, ... AM1, AM2, AM3 ..., before sending the communication message MS1, MS2, ... AM1, AM2, AM3 ..., before or during the creation or completion of the draft and/or or specification VG1, VG1', VG1'' of the one or more first persons P1, P1', P1'' determined and/or to the one or more first persons P1, P1', P1'' (on the corresponding user devices AG1, AG1', AG1'') can be output.

The features described in this document in relation to the communication message can be selectively or in any combination on the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1' , FB2''1'' apply or be applied. For example, the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' of any combination of features of the at least one communication message, their Generation or adaptation correspond. This can be generated with the same means or process steps, or with corresponding means or steps. For example, the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' on various perception channels (to various senses of the first persons P1, P1', P1'') are addressed. This can be generated by means of a feedback generator with features corresponding to the generator of communication messages.

For example, the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can depend on the first parameter and/or second parameter or are generated depending on at least one neural network trained and/or operated with the first parameter and/or second parameter. For example, the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can each be generated in this way (also to be understood: a or several parameters of the feedback are determined or adjusted in such a way) that a certain or certain criteria corresponding effect of the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2' 1', FB2''1'' to the (respective) one or more first persons P1, P1', P1'', and/or reaction of the one or more first persons P1, P1', P1'' becomes. For example, further media content MI1, MI2, become.

For example, feedback F21, F21', F21'' generated on at least two different user devices AG1, AG1', AG1'' can differ. At least two different first persons P1, P1′, P1″ can be given different, in particular appropriate, feedback F21, F21′, F21″. For example, the feedback F21, F21′, F21″ can be generated in the form of body language (eg by means of an avatar AV1, AV1′, AV1′ or AV2, AV2′, AV2″), physical movement, facial expressions, gestures, microexpression , in particular to be spent. The feedback F21, F21', F21'' can be generated depending on one or more current bodily impulses of the one or more second persons P2, P2', P2''. This can also be done if the one or more second persons P2, P2', P2'' are not directly or indirectly visible or are not perceptible as their image (e.g. as a video). There can also be at least two of the second persons P2, P2', P2''.

For example, various physical impulses of the one or more second persons P2, P2', P2'' are determined. There can also be parameters that (e.g. even with a direct view or contact) would not be perceptible or only to a limited extent or with difficulty (e.g. would not be recognizable without tools or expertise). The physical impulses, in particular changes in the physical impulses (e.g. to certain perceived sections and/or to the use of the second information i2) can be recorded using one or more second user devices AG2, AG2', AG2'' (e.g. as a smartwatch or smartcloses of the second persons) are determined. The parameters of the (diverse, individual, related to individual persons P2, P2', P2'') can be processed, analyzed and/or represented as a model, in particular abstracted and/or reinforced. The one or more first persons P1, P1′, P1″ can receive feedback F21, F21′, F21″ that is easy to interpret and/or strengthened, in particular before or instead of having an actual effect or reaction on the second Person P2, P2', P2'' occurs.

Preferably, the processing, analysis and/or a (e.g. model-like, abstracted and/or enhanced) representation of the one or more physical impulses of the one or more second persons P2, P2', P2'' (e.g. towards the one or more first persons P1, P1', P1'') are executed. For example, one or more physical stimuli of the one or more second persons P2, P2', P2'' can be generated depending on the respective second personality model or the at least one neural network DNN1, DNN2, DNNZ.

For example, feedback F21, F21', F21'' can be generated for one or more respective first persons P1, P1', P1'', which is at least primarily based on the specification VG1, VG1', VG1'' or contribution of the respective first person P1, P1', P1'' to the communication message MS1, MS2, ... AM1, AM2, AM3 ... relates. Alternatively or additionally, feedback F21, F2'1, F2''1 can be generated for one or more (respective or specific) second persons P2, P2', P2'', which is at least primarily based on the effect or reaction of the (respective or specific) second person P2, P2', P2'' relates to (e.g. represents them). For example, the feedback F21, F2'1, F2''1 can relate to specific second persons P2, P2', P2' or to a number (e.g. group of second persons P2, P2', P2''.

• Gruppe der Begeisterten, Gruppe der Unterstützer, Gruppe der Akzeptierenden, Gruppe der Überzeugten, .... , Gruppe der Entrüsteten, Gruppe der Enttäuschten, Gruppe der Verhindernden, Gruppe der Protestierenden, Gruppe der Skeptischen, ..., Gruppe der Fragenden, Gruppe der nicht verstehenden, ... , Gruppe der Lächelnden, ...

For example, groups of the second persons P2, P2′, P2″ are formed and/or second persons P2, P2′, P2″ are assigned to the groups (also to be understood: subdivision of persons into groups). This can be done depending on a determined or predicted effect of the communication message on the respective person P2, P2', P2'' and/or determined or predicted reaction of the respective person P1, P2', P2''. In particular, the persons can be assigned dynamically (eg in the course of the communication) to predefined (eg preset, selectable, specific to the type of communication or communication partner) and/or dynamic (eg specific or expediently formed for the respective communication) groups. The feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can represent the assignment of the persons to the groups. Predefined or adjustable groups can (e.g. depending on the type of communication) be:

• Enthusiastic group, supporter group, accepting group, convinced group, .... , indignant group, disappointed group, preventing group, protesting group, skeptical group, ..., questioning group, group the non-understanding, ... , group of smiling, ...

The groups and/or the assignment of the second persons to the groups can be based on the laws and/or roles (e.g. known from psychology) of a group dynamic.

For example, the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' includes a representation (e.g. a representation or a visualization ) the group dynamics (e.g. one or more measures of one or more group dynamic effects) . Furthermore, feedback can be generated, also representing the one or more first persons P1, P1', P1'', groups of the first persons P1, P1', P1'' or formation of groups and/or assignment of the first persons P1, P1', P1'' to the groups.

For example, the group dynamics of the participants in the communication KB12, KB21, e.g. relating to a number of second persons P2, P2', P2'' and/or a number of first persons P1, P1', P1'', e.g. before or at the beginning of the communication KB12, KB21, ..., in the course of the communication KB12, KB21, .... and/or at the end or after the communication KB12, KB21, ... are represented.

The formation of groups of the second persons P2, P2', P2'' and/or the assignment of second persons P2, P2', P2'' to the groups can depend on the value range, similarity and/or pattern of the (determined and/or predicted) effect of the at least one communication message on the (respective) second person P2, P2', P2'' and/or (determined and/or predicted) reaction of the (respective) second person P2, P2', P2''. For example, second persons P2, P2′, P2″ can be assigned the same, similar or the same patterns of the (determined and/or predicted) effects or reactions to the same or (eg in the case of significant differences to neighboring) groups.

For example, feedback F21, F2'1, F2''1 can be output to the one or more first persons P1, P1', P1'', how many which second persons P2, P2', P2'' or second persons P2, P2', P2'' belonging to different groups of people in respective groups or how the (e.g. current and/or predicted) the groups or the assignment to the groups is and/or how the groups or assignment to the groups is (e.g. in the course of communication) is changed.

The groups and/or the feedback F21, F2'1, F2''1 relating to different persons P2, P2', P2'' or groups of persons P2, P2', P2'' can (e.g. for the perception of one or several first persons P1, P1', P1'') differently (e.g. with colors, symbols, textures) and/or arranged (e.g. on a surface or in space). For example, the perceptible directions, distances, positions from which these are made perceptible can be different. For example, the directions, distances, position and/or grouping of people P2, P2', P2'' can be determined or adjusted depending on the one or more parameter value ranges or patterns (each determined and/or predicted) effect and/or reaction. This makes it easier to distinguish between them.

The reference symbols used are formed in such a way that FB2'1 means the feedback (e.g. variant of the feedback) about the person P2' to the person P1 or FB 21' means the feedback (e.g. variant of the feedback) about the person P2 to the person P1' means. A corresponding feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can (respectively) be sent to the corresponding user devices AG1, AG1 ', AG1'' are output.

The generation of the feedback FB21, FB2'1, FB2'', ..., FB21', FB21'', ... FB2'1', FB2''1'' for the one or more first persons P1, P1' , P1'' can be generated at least partially depending on settings (e.g. personal settings, user account settings) and/or operator actions of the one or more second persons P2, P2', P2''. For example, the generation of the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' by one or more second persons P2 , P2', P2'' are at least partially permitted, restricted and/or prevented.

For example, generating the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' for the one or more first persons P1 , P1', P1'' in the communication with one or more second persons P2, P2', P2'' at least partially dependent on the generation of the feedback FB12, FB1'2, FB1''2, ..., FB12', FB12'', ... FB1'2', FB1''2'' for the one or more second persons P2, P2', P2''. In a simplified case, the generation of the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB21'' or the authorization to generate the feedback FB21 , FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' in one direction from generating the feedback FB12, FB1'2, FB1 ''2, ..., FB12', FB12'', ... FB1'2', FB1''2'' in a different, in particular opposite, direction.

• - eine oder mehrere ermittelte und/oder prädizierte Wirkung bzw. Reaktion; und/oder
• - ein unpassenden bzw. fehlenden Teil (Anschnitt und/oder Inhalt), einen unpassenden Parameterwert bzw. Parameterwertebereich der zumindest einer Kommunikationsbotschaft kennzeichnen. Beispielsweise kann als das fehlend bzw. unpassend sich auf das Erreichen bzw. Erreichbarkeit des Ziels der Kommunikation bzw. des Zielwerts der Wirkung und/oder Reaktion beziehen; und/oder
• - einen Änderungsvorschlag insbesondere betreffend eine noch nicht abgerufene bzw. nicht ausgegebene Kommunikationsbotschaft bzw. einen Teil der Kommunikationsbotschaft, eine der nachfolgenden Kommunikationsbotschaften; und/oder
• - eine Veränderung der Haltung der einen oder mehreren ersten Personen, z.B. hinsichtlich faktischer Richtigkeit, konstruktiver Haltung, etc.

The at least one feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can be characteristic of:

• - one or more determined and/or predicted effects or reactions; and or
• - mark an unsuitable or missing part (section and/or content), an unsuitable parameter value or parameter value range of the at least one communication message. For example, the missing or inappropriate can refer to the achievement or achievability of the goal of the communication or the target value of the effect and/or reaction; and or
• - a proposed change, in particular relating to a communication message that has not yet been retrieved or output, or part of the communication message, one of the subsequent communication messages; and or
• - a change in the attitude of the one or more first persons, e.g. with regard to factual correctness, constructive attitude, etc.

The feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can distinguish between one or more effects and/or one or more reactions.

For example, a parameter of the effect (also characterizing a type of effect) and a parameter of the reaction (also characterizing a type of reaction) can be represented by means of an output, in particular in graphic and/or acoustic form (e.g. as a diagram or VR). .

For example, determined or predicted effects and/or reactions from a number of second persons can be combined into groups.

The feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' can relate in particular to a part (e.g. section and/or Content) of at least one communication message relate. Multiple feedbacks can be generated for different parts of the communication message.

Different feedbacks FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'', different numbers of feedbacks or .Feedbacks relating to different parts of the at least one communication message are generated. For example, the respective feedback relates to parts or parameters of the at least one communication message that have been generated or adapted in accordance with the specifications of the respective first person and/or that deviate, in particular at least to a certain extent, from the specifications of the respective first person.

For example, groups or clusters of people can be formed who (e.g. to a certain extent) have or are at least likely to have similar effects and/or reactions or those that correspond to the same pattern. The formation of the groups can include a summary of the corresponding effects and/or reactions, or of the people in groups. The effects and/or reactions, people or groups of people can be placed (e.g. on a display surface in the display room or with regard to the corresponding acoustic sound source) depending on a respective parameter for effect and/or reactions with regard to their perceptible direction, distance or position .

Alternatively or additionally, the feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' to the one or more second persons, in particular to one of these (e.g. at least potentially) incoming communication.

8th illustrates different communications, communication messages MS1, MS2, ... AM1, AM2, AM3, ..., arrangements or relationships between various people to one another.

The first persons P1, P1′, P1″ and second persons P2, P2′, P2″ are each shown as groups of people, in particular families. These are (e.g. currently, mostly or usually) in the same living rooms 1 or 2.

Here are internal (e.g. internal living space, internal group or internal family) communications K1-a, K1-b, K1-c, K1-a' from some first persons P1, P1', P1'' as well as K2-a, K2-b , K2-c, K2-a' represented as directional arrows by some second persons P2, P2', P2''. These can each be face-to-face communication or communications with or without technical means. The communication KB12 can include or be at least one communication message MS1, MS2, . . . AM1, AM2, AM3 .

Various communications to other people or living spaces 1', 2' are also illustrated. These can be carried out by means of any type of telecommunication. To clarify exemplary directions, communications are denoted by reference symbols (e.g. KB12, ... KB21, ... KB12, KB13, ... KB23, KB24, ..., KB1''1''', KB1'''1'' , KB2''2''', KB2'''2'', ...). The reference sign logic indicates exemplary directions from and to which person or group of persons the communication messages are directed. In the method, parameters of various communications presented can be determined and processed.

The interpersonal communication KB12, ... KB21, ... (to be supported or supported in the process) can be about a completely or predominantly rational or related to the rational or optimized exchange and/or communication that goes beyond the transmission of information or deviates from such an exchange or transmission of information. Goals can be pursued that deviate from rational goals.

The interpersonal communication KB12, ... KB21, ... can to a significant extent (e.g. in addition to conveying information) to a conversation or an emotional exchange for further objectives regarding e.g. mental, emotional or psychological needs (e.g. at least one first and/or second real person). Furthermore, the interpersonal communication KB12, ... KB21, ... may deviate from or go beyond the sending or exchange of the texts, voices, images and/or the inputs. This may deviate from or go beyond telecommunications and/or message exchanges.

The communication can be supported on a first user device AG1, AG1', AG1'' (e.g. the user device of the sender, client and/or originator of the communication or at least one communication message) and/or on a second user device AG2, AG2', AG2 '' (e.g. of the recipient, perceiver and/or a communication partner of the sender, client and/or initiator of the communication or at least one communication message).

9 illustrates different information generated in the method as well as exemplary references to various persons P1, P1', P1' or P2, P2', P2''. Furthermore, the figure illustrates an at least partially virtual space VR.

In particular, a first avatar AV1 can represent and/or represent a number of people (here: first people P1, P1').

Alternatively or additionally, a person (e.g. in the same virtual space VR or in different virtual spaces VR) can be represented by a number of avatars, in particular by a number of different (e.g. each specifically set up and/or operated) avatars. These can be the same or different avatars, in particular adapted to the respective virtual space, communication partner, context, situation. The one or more avatars may (optionally, selectively) include characteristics of respective real persons and/or be operated using at least the personality models of the corresponding one or more persons. The virtual personalities and/or avatars can be trained and/or operated depending on one or more parameters relating to the corresponding (assigned) real people. For example, each person P1, P1′, P1″ can also be represented individually by an avatar AV1, AV1′, AV1″ (e.g. their own avatar or one assigned to the person P1, P1′, P1″).

For example, one or more first persons P1, P1', P1' and/or one or more second persons P2, P2', P2'' during communication KB12, ... KB21, ... in or by means of a virtual space VR represented and/or represented at least in part and/or at times by their avatars.

At least one first avatar AV1, AV1′, AV1″ of one or more first persons P1, P1′, P1″ is preferred depending on (in particular also to be understood by means of) one or more first personality models PM2, PM2′, PM2″ and /or operated by the current first parameters; and at least one second avatar AV2, AV2', AV2'' of one or more second persons P2, P2', P2'' depending on (in particular also to be understood by means of) one or more second personality models PM2, PM2', PM2'' and/or or operated by the current first parameters.

The one or more avatars AV1, AV1′, AV1″, . The at least one avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'' is preferably dependent on the current and/or predicted parameters relating to one or more corresponding persons and/or dependent on the personality model of the operated by one or more corresponding persons (also to be understood in particular: influenced, directly or indirectly controlled).

The at least one avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'' can have selected characteristics of the respective person P1, P1', P1'', ... P2, P2', P2'' or have a result of the processing of the selected features by at least two people (eg P1 and P1' or P2 and P2'' or P1, P1' and P2'') or be set up according to the selected features. It can (on the one hand) predominantly static and / o the long-term characteristics; and/or (on the other hand) changeable and/or dynamic (e.g. related to movement, change in behavior or other dynamic properties) characteristics.

For example, characteristics (which are static or long-term) can be physical characteristics, appearance characteristics (e.g. body or facial proportions), voice characteristics (e.g. in terms of sound or frequency characteristics), physical characteristics and/or scent of the respective person or include.

For example (as changeable or dynamic) features, parameters, in particular patterns of bodily impulses, body language, micro-expression and/or reactions to specific stimuli can be or include.

For example, the at least one avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'' can have one or more features that are based on the processing, in particular aggregation and/or synthesis of the features of a plurality of selected (e.g. first or second) persons.

The at least one (first and/or second) avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'' can depend on processed, in particular interpreted, first parameters (e.g. data dependent on the first parameters) concerning the one or more first persons and/or second parameters (e.g. data dependent on the second parameters) relating to the one or more second persons are trained and/or operated.

In particular, it is also to be understood in such a way that an avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'' of one or more persons (so to speak, one's own avatar) is at least partially, directly or indirectly dependent on is set up (e.g. trained or configured) and/or operated according to one or more parameters of one or more communication partners (in particular also to be understood as interaction partners).

In particular, at least a first personality model PM1, PM1', PM1'' or a first avatar AV1, AV1', AV1'', depending on combined, merged, and/or integrated parameters of at least two of the (e.g. those involved in a communication to be supported ) first persons P1, P1', P1'' are trained and/or operated. In particular, at least a second personality model PM2, PM2', PM2'' or a second avatar AV2, AV2', AV2'' depending on combined, merged, and/or integrated parameters of at least two of the (e.g. those involved in a communication to be supported ) second persons P2, P2', P2'' are operated.

The at least one (e.g. first and/or second) avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'' is characterized in particular by a (e.g. underlying and/or influencing (e.g. controlling) avatar) personality model PM1, PM1', PM1'', ... PM2, PM2', PM2'' and/or output means and/or transmission means.

The at least one avatar AV1, AV1′, AV1″, . . . AV2, AV2′, AV2″ can include the at least one neural network DNN1, . In this sense, training and/or operating at least one avatar AV1, AV1', AV1'', ... AV2, AV2', AV2'' can have the same or corresponding features as training the at least one neural network DNN1, DNN2, DNNZ are applied.

The at least one (e.g. first and/or second) user device AG1, AG1', AG1'' ... AG2, AG2', AG'' can be designed to be at least part of the virtual space VR or virtual parts of the space and/or or to perceive objects in the space (e.g. an at least partially real and at least partially virtual) space VR and/or at least one avatar and/or figures that are not assigned to a real person, e.g. seeing, hearing, smelling, touching, tasting, etc.

Furthermore, the method can generate report information (RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', RI2''1'') to the one or several first persons (P1, P1', P1'') in the communication (KB12, ... KB21, ....) or in connection with the communication (KB12, ... KB21, ....), in particular indicating a course of communication (KB12, ... KB21, ....), acting and/or happening in connection with the communication (KB12, ... KB21, ....).

The at least one (first and/or second) piece of report information (RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', RI2''1'') can refer to the course of the communication, acting, happenings in connection with the at least partially virtual communication (KB12, ... KB21, ....). This can be characteristic, in particular representative, of an experience of communication (KB12, ... KB21, ....) and/or of acting, interacting, acting, etc. in connection with virtual communication. The at least one piece of report information (RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', RI2''1'') can be information from the visual perspective, perception perspective and/or be or include the avatar's reporting perspective AV1, AV1', AV1'', ... AV2, AV2', AV2''.

For example, the at least one avatar AV1, AV1', AV1'', . . . AV2, AV2', AV2'' can generate the report information (e.g. for the corresponding person assigned to him). This can also be construed as report information (RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', RI2''1'') from the perceptual perspective of the Avatars AV1, AV1', AV1'', ... AV2, AV2', AV2''.

The report information (RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', relating to at least one virtual communication (KB12, ... KB21, ...), RI2''1'') may be recorded and/or rendered or output in a human perceptible form. For example, the report information (RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', RI2''1'') can be visual, auditory, haptic, olfactory or .be made gustatory perceptible. This can be done, for example, from the perspective of the avatar (e.g. according to the "first person view" principle) and/or from a perspective that differs from the perspective of the avatar. The at least one item of report information can relate to one or more of the communication partners. A perceiving person (e.g. one or more first persons) can e.g. select, filter, prioritize, the report information from which of the communication partners (e.g. second persons P2, P2', P2'' are primarily selected and/or generated.

Information issued to the (respective) user, in particular the perspective of communication used (KB12, ... KB21...) and/or an output based on voting information AI21, AI2'1, AI2''1, .. ., AI21', AI21'', ... AI2'1', AI2''1'' support information UI21, UI2'1, UI2''1, ..., UI21', UI21'', ... UI2 '1', UI2''1'', report information RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... R12'1', RI2''1'', feedbacks FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'', etc. can be at least partially, predominantly or entirely from the perceptual perspective of the Avatars (AV1, AV1', AV1'' or AV2, AV2', AV2'') and/or from a perspective that deviates from the perception of the respective avatar, in particular by the user (P1, P1', P1'' or P2 , P2', P2'') predeterminable and/or changeable perspective, in particular such that (for a user) both his own avatar (AV1, AV1', AV1'') and another avatar (AV2, AV2', AV2' '), in particular an avatar of a communication partner and/or virtual communication (KB12, ... KB21, ...) between the avatars (AV1, AV1', AV1'') (AV2, AV2', AV2'') perceptible is. For example, an avatar (AV1, AV1', AV1'' or AV2, AV2', AV2'') is designed for virtual perception (e.g. seeing, hearing, smelling, touching, tasting). This can be done by means of data processing and/or outputting the stimuli to the person (P1, P1', P1'' or P2) corresponding to the avatar (AV1, AV1', AV1'' or AV2, AV2', AV2''). P2', P2'') take place.

10 , 11 , as well as 12 illustrate an embodiment of the method, in particular the execution of the simulated communication SKB12, ... SKB21, ... and a communication to be supported KB12, ... KB21, ....

In the 10 an (at least partially) simulated communication SKB12, ... SKB21, ... between a person P1 and a personality model PM2 or avatar AV2 of a second person P2 is illustrated. The second person P2 can be a current, possible prospective or future communication partner P2 or listener, viewer, friend, follower, etc. of the first person P1.

The first person P1 can (initially) use their user device AG1 to communicate more or less directly, for example through text, spoken language and/or body language, with a (second) personality model PM2 or avatar AV2 of a second person P2.
The communication messages SKB12 (V1), SKB12 (V2), SKB12 (V3), . This can be different variants of a communication message KB12, . . .

The corresponding data are read in by the second personality model PM2 or avatar AV2. In response to this and/or based on the data read into the second personality model PM2 or avatar AV2 (to the simulated perception of the personality model PM2 or avatar AV2) the communication messages SKB21 (V1), SKB21 (V2), SKB21 (V3), ... generated by means of the second personality model PM2 or avatar AV2 can be generated. This can (e.g. in each case) variants V1, V2, V3 of a response to the one or more communication messages SKB12 (V1), SKB12 (V2), SKB12 (V3), . . . be. These can be generated more or less directly to the first person P1, for example through text, spoken language and/or body language with a (second) personality model PM2 or avatar AV2. This can be construed as supporting the communication KB12,...KB21,... Communication KB12, . . . KB21, .

A (eg current and/or predicted) second parameter relating to the second person P2 can be determined and taken into account. A second parameter can be used to operate the second personality model PM2 or the second avatar AV2.
For example, a control variable or input for operating the second personality model PM2 or avatar AV1 (eg according to a specific mathematical relationship) can be determined as a function of one or more second parameters. In particular, this allows the second personality model PM2 or avatar AV2 of the second person P2 to be synchronized and/or adapted to the real second person P2. As a result (if desired) it can be achieved that the personality model PM2 or avatar AV2 reacts approximately in the same or similar way as the second person P2 does or would do.

One or more second parameters can include or be a parameter of the context PK2, a parameter of the situation PS2, and/or a second parameter of the state PZ2 of the second person P2.

Depending on the execution of the simulated communication SKB12, ... SKB21, ... Alternatively or in addition to the parameter of a reaction SPR2 the second person P2, a simulated parameter of the state SPZ2 of the second person P2 and / or parameters of the effect SPW2 on the second person P2 are determined. For example, the externally perceptible and/or imperceptible (in the case of real people) or conscious and/or unconscious parameters can be determined. These can allow conclusions to be drawn about real parameters of the second person P2 if a corresponding communication KB21, . . . KB21, .

The simulated communication SKB12, . . . SKB21, Person P2 (without having to be known or announced to the first person P1 or even without having to be aware of this to the second person P2).

The simulated communication SKB12, . . . SKB21 can be carried out for a number of parameter sets, contents and/or communication messages. The parameters can be selected or changed (e.g. partly or completely according to a regulation and/or partly or completely randomly).

The contents, parameters, communication messages from the simulated communication SKB12, . . . SKB21, . These may not be immediately effective (e.g. for one or more communication partners P2, P2', P2'') or may remain ineffective. These can remain confidential and the communication or one or more of the communication attempts can remain without consequence. The communication KB12, . . . KB21, .

Depending on the execution of the simulated communication SKB21, ... SKB21, ... one or more drafts of a communication message EKB12(V1), EKB12(V2), EKB(3), ... to the second person P2 can be generated. At least one draft for the communication message EKB12(V2) (e.g. to achieve a communication goal KB12, ... KB21, ...) can be highlighted.

Furthermore, the method can also be an at least partially automatic (with or without a further predetermined condition) and/or at least partially dependent on a (possibly further) operator action of the user to adapt and/or transmit (also: send, reply or post). ) the communication message KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1'2', KB1''2' to at least one communication partner P2, P2', P2 '' comprise. For example, different predetermined conditions can apply to different people P2, P2', P2''. For example, proc ren can include checking a release FR12, FR12', FR12'' of the communication message KB12, KB1'2, KB1''2, . . . , in particular the draft of the communication message, by one or more first persons P1, P1, P1'.

In a simplified case, the release FR12, FR12', FR12'' by means of an operator action, omission of a (specific) operator action and/or depending on at least one of the one or more (respective) first persons P1, P1', P1'' take place. Alternatively or additionally, a reaction of the one or more first persons P1, P1', P1'' to the at least one draft KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2' , KB1'2', KB1''2' are evaluated and the release FR12, FR12', FR12'' of the communication message KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2 ', KB1'2', KB1''2' depending on the evaluation. For example, at least one (e.g. virtual) operating element can be activated (e.g. appear) and/or operated by the person P1, P1', P1'' to release FR12, FR12', FR12'', rejection, change and/or request a change in the at least one draft depending on one or more first parameters related to the one or more first persons P1, P1', P1'' (e.g. depending on the physical impulse and/or by means of a physical impulse).

A communication message EKB12(V1), EKB12(V2), EKB12(V3) generated or supported in the method can be selected by the first person P1 and/or released for transmission to the second person P2 (or their avatar AV2). This can be done depending on the release FR12, FR12', FR12'' and/or adjustments AP12 that can be selected or executed by the person P1.

Alternatively or additionally, various items of information described in the present document can, for example, be voting information AI21, AI2'1, AI2''1, ..., AI21', AI21'', ... AI2'1', AI2''1'', support information UI21, U12'1, UI2''1, ..., UI21', UI21'', ... UI2'1', UI2''1'', report information RI21, RI2'1, RI2'' 1, ..., RI21', RI21'', ... RI2'1', RI2''1'', a feedback FB21, FB2'1, FB2''1, ..., FB21', FB21' ', ... FB2'1', FB2''1'', to support the communication KB12, ... KB21, ... are generated. This can, for example, take place depending on the data of the simulated communication SKB12, ... SKB21, ..., which takes place, for example, using an evaluation module. The first person does not have to perceive or evaluate the simulated communication messages (e.g. generated in large majority).

11 Figure 11 illustrates (additionally) an example of the method in which the simulated communication SKB12, ... SKB21, ... is carried out by means of a generator of simulated messages GSN. In this example, which can be combined with all of the features described in the present document, the simulated communication messages SKB12, . . . SKB21, . . . can be generated (eg more or less automatically and/or in large numbers). These can be generated without an active or permanent involvement of the first person P1 and/or depending on the specification VG12.

In particular, the simulated communication SKB12, ... SKB21, ... can be carried out depending on a (e.g. current and/or predicted) first parameter and/or (e.g. current and/or predicted) second parameter. In other words, a communication can be "tried out" if specific first parameters and/or second parameters corresponding to specific criteria are present. For example, an objective technical effect can be achieved that the second person P2, e.g. by accepting a (cognitive, emotional and/or psychological) state, selecting or creating a context and/or situation, a communication KB12,... itself, favors, causes or influences one or more parameters of the communication message KB12... which it receives from or on behalf of one or more first persons P1, P1', P1''.

For example, the generator of simulated communication messages SNG can be controlled depending on one or more first parameters and/or one or more second parameters.

In a further example that can be combined with all of the features described in the present document, a simulated communication SKB12, ... SKB21, ... of a real first person P1 (initially) with a personality model PM2 of one or more second persons P2, P2', P2' ' to be executed. For example, this can be carried out using one or more drafts EKB12(V1), EKB12(V2), EKB12(V3) of a communication message. This can be done in order to determine information to support the (e.g. downstream or possibly following, expected and/or predicted) communication KB12, . . . KB21, . . . with the one or more real second persons P2. The information can be provided and used (e.g. as needed). The information can be, for example, the voting information, support information, feedback and/or report information described in detail in the present document.

In this example, the first person P1, P1, P1'' (eg as a user of the method or the first application device) can have one or more second personality models PM2, PM2', PM2'' or avatars AV2, AV2', AV2'' other, second persons use P2, P2', P2''. In particular, the first person P1, P1, P1'' can use the one or more second personality models PM2, PM2', PM2'' or avatars AV2, AV2', AV2'' in a simulated way to communicate in a simulation. The information obtained can be made available and used in (many) ways. For example, this can be used to select or adapt a parameter of a (eg possible, expected or desired) communication and/or one's own state (which would be beneficial for achieving a goal of the communication).

In a further example that can be combined with all the features described in the present document, a simulated communication SKB12, ... SKB21, ... of a first personality model PM1, PM1', PM1'' of a first person P1, P1', P1'' (initially ) with one or more second real persons P2, P2', P2''. For example, based on one or more communication messages KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1'2 ', KB1''2' to be executed.

This can be done with one or more pieces of information to support the (e.g. downstream or possibly following, expected and/or predicted) communication KB12, ... KB21, ... the real first person P1, P1', P1'' with to determine one or more second persons P2, P2', P2'' or one or more of the second personality models PM2, PM2', PM2'' of the one or more second persons P2, P2', P2''. The reaction can be one or more parameters of the reaction or reactions of the one or more second persons or further voting information AI21, AI2'1, AI2''1, ..., AI21', e.g. described in the present document. AI21'', ... AI2'1', AI2''1'', support information UI21, UI2'1, UI2''1, ..., UI21', UI21'', ... UI2'1', UI2''1'', report information RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', RI2''1'', and/or feedback FB21 , FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1''. The information can be provided and used (e.g. as needed).

In this example, the (first) person P1, P1′, P1″ can create their own first personality model PM1, PM1′, PM1″ or the first avatar AV1, AV1′, AV1″, in particular on a trial basis or with the purpose determine specific information with which one or more real second persons P2, P2', P2'' communicate in a simulated manner. The information obtained can be made available and used in (many) ways. For example, this can be used to select or adapt a parameter of a (e.g. possible, expected or desired) communication and/or one's own state (which would be beneficial for achieving a goal of the communication).

In a further example that can be combined with all of the features described in the present document, a prediction of a parameter of the communication KB12, ... KB21, ... between the one or more first persons P1, P1', P1'' and one or more second persons P2, P2', P2'' are executed. This can be applied to an ongoing, possible, probable or expected communication (also to be understood as a communication message above the communication section).

In particular, one or more parameters of a section of the communication KB12, ... KB21, ... (e.g. expected with a certain probability) can be predicted. Depending on the one or more predicted parameters, a simulated communication SKB12, ... SKB21, ... using at least one first personality model PM1, PM1', PM1'' and/or at least one second personality model PM2, PM2', PM2'' to be executed. A simulated communication SKB12, ... SKB21, ... can be carried out with parameters which roughly correspond to the parameters of the predicted communication KB12, ... KB21, ... (e.g. one or more sections of this) with or without a specific difference corresponds.

The simulated communication SKB12, . . . SKB21, correspond to the communication).

Depending on the execution of the simulated communication (e.g. for one or more variants of the communication), data for supporting the communication KB12, ... KB21, ... (e.g. for respective variants or sections of the communication) can be determined and provided.

The table below illustrates information (also data to be understood), in particular parameters that can be determined as part of the simulated communication SKB12, ... SKB21, .... This information (in particular also to be understood as information dependent on this information) can (individually or in any combination) to support at least part of the communication KB12, . . . KB21, . . . between or involving at least one or more real first persons and/or one or more second persons. From a real first person To a second personality model or avatar From a second personality model or avatar To a real second person communication message X X X X Response to a communication message X X X X Communication parameters X X X X feedback X X X X

• - Kontexts der Kommunikation;
• - Situation der Kommunikation;
• - Zustand (z.B. kognitiver, emotionaler und/oder psychologischer) Zustands einer oder mehreren ersten Personen und/oder einer oder mehreren zweiten Personen.

In an example that can be combined with all the examples described in the present document, the simulated communication SKB12, ... SKB21, ... can depend on one or more parameters in relation to a currently ongoing, possible, expected and/or predicted communication KB12, .. KB21, ... are carried out with the participation of at least one real person P1, P1', P1'', in particular characterizing:

• - context of communication;
• - situation of communication;
• - State (eg cognitive, emotional and/or psychological) state of one or more first persons and/or one or more second persons.

The parameters can each relate to one or more specific time intervals, particularly those in the near future, and/or identify a time function or value profile.

In an example that can be combined with all examples described in the present document, the simulated communication SKB12, ... SKB21, ... (or the simulated part of the communication) can be at least partially, predominantly, essentially or entirely independent or detached from the communication to be supported Communication KB12, ... KB21, ... (the part of the interpersonal communication KB12, ... KB21, ... to be supported). For example, one or more parameters of the simulated communication KB12, . . . KB21, . . . can differ from the parameter of the (current, expected or predicted) communication KB12, .

In an example that can be combined with all the examples described in this document, the simulated communication SKB12, ... SKB21, ... can at least partially, predominantly, essentially contain a content and/or parameter from one or more communications (not the one or more first persons, one or more second persons, or other persons) from the past. For example, the simulated communication SKB12, ... SKB21, ... can be performed at least in part depending on data indicative of portions of the communications from the past. In other words, parameters can be used or co-used in one or more sections of one or more communications (e.g. as basis or additional data).

In another example that can be combined with all the features described in the present document, the simulated communication SKB12, ... SKB21, ... for at least 2, 4, 8, 16, 32, ... variants of the communication (also to be understood as communication messages or sections of communication) are executed. This can be done at a higher (accelerated) speed (compared to the typical course of verbal or non-verbal communication) and/or using parallel computing paths. For example, the simulated communication SKB12, ... SKB21, ... at least by a factor of 10, 10 ² , 10 ³ , 10 ⁴ , 10 ⁵ , 10 ⁶ , ... faster than one (e.g. about the scope or the parameters corresponding) real communication can be carried out. Alternatively or additionally, information about the mutually alternative variants of the sections of the communication KB12, ... KB21, ... are determined at about the same time or at least partially parallel to one another.

In particular, the method can change and/or reset the parameters of one or more personality models PM1, PM1', PM1'', ... PM2, PM2', PM2'' or avatars AV1, AV1' AV1'', .. avatars include AV2, AV2' AV2''.

A communication KB12, ... KB21, ..., in particular in various variants (e.g. with specific parameters, goals, contexts) can be tried out in the process on the technical way (in a non-dangerous way, so to speak). This can (e.g. in advance) be done on a large number of personality models or avatars of a number of people, e.g. friends, followers, subscribers, etc. One or more measures of compatibility, in particular for different types of communication KB12, . . . KB21, . The achievement of a goal or success can be understood as a specific result or one or more parameters of the result that are in a desired value range or (e.g. in a further section of the communication) lead to a further result or success.

The method can include generating the data to support a (e.g. subsequent) real communication and/or to execute a user functionality, e.g. a (or the) communication assistant. The real communication KB12, ... KB21, ... can in particular be communication with the person whose personality model was used or with the person who has a similar affiliation to one or more groups of people. It can be optimized for the respective person P1, P1', P1'' or P2, P2', P2'' or tailored to the respective person P1, P1', P1'' or P2, P2', P2'' tailored user functionality is provided.

Such support data can be generated based on a specific (e.g. simulated) situation, a specific (e.g. initially hypothetical or fictitious) context, input and/or goal.

The one or more of the (first and/or second) personality models or avatars can (e.g. in an at least partially simulated communication SKB12, ... SKB21, ...) be operated to provide training data for setting up further personality models, avatars and/or neural generate networks DNN1, DNN2, DNNZ.

In particular, data for operating a (eg fictitious, generated in the method) virtual personality VP (eg for communication with a specific real person, in particular for entertaining the person) can be generated. This can be done on the basis of several (eg 10, 10 ² , 10 ³ , 10 ⁴ , 10 ⁵ , 10 ⁶ ,...) sequences of the simulated communication SKB12, . . . SKB21, . . . (eg with different parameters). .

For example, the method can be carried out or the system can be carried out with or without the active participation of one or more first persons P1, P1′, P1″ and/or one or more second persons P2, P2′, P2″ for generating the data for Supporting a (e.g. subsequent) real communication KB12, ... KB21, ... and/or (any) user functionality. The real communication KB12, . . . KB21, '' which shows a similar affiliation to one or more groups of people. It can be a user functionality that takes into account a person whose personality model was used or that has a similar affiliation to one or more groups of people with the person, in particular that is set up for the person. It can be a user functionality that is at least partially optimized for the respective (e.g. first and/or second) person or is tailored to the person.

Such information can in particular be generated using one or more specific (eg initially fictitious simulated) contexts and/or situations, a specific (eg initially fictitious) input and/or goal. For example, the simulated communication SKB12, ... SKB21, ... in a variety (eg more than 10, 10 ² , 10 ³ , 10 ⁴ , 10 ⁵ , 10 ⁶ ) contexts, situations, initial inputs and/or states of the personality models PM1, PM1', PM1'', ... PM2, PM2', PM2'' or avatars AV1, AV1', AV1'', ... AV2, AV2', AV2'Ö are determined. For example, before and/or during a real communication KB12, ... KB21, ... a simulated communication SKB12, ... SKB21, ... with modified (e.g aggravating) parameters are executed. In this way, for example, parameter values can be determined in which the communication KB12, . . . KB21, . . . leads or would lead to a significantly or fundamentally different parameter or result. For example, parameter values for which a flirt, joke or negotiation will or would lead to a (significantly or fundamentally) different result. These parameters or information determined on the basis of these parameters can also be counted as information for supporting the communication KB12, ... KB21, ... or taken into account or used when supporting the communication KB12, ... KB21, ... .

12 illustrates (additionally) an example of the method in which a simulated communication SKB12, ... SKB21, ... is carried out between a first personality model PM1 or first avatar AV1 and a second personality model PM2 or avatar AV2. In this example, which can ^be combined ^with all of the ^features described in the present ^document , a ^sequence of communication messages SKB12, . . . SKB21, SKB12, ... SKB21 (e.g. of communication interactions) are executed. A (further increased) number of variants can be executed and/or in a reduced time (compared to a typical communication). In particular, a conclusion can be drawn about a long-term development of interpersonal communication KB12, . . . KB21, .

For example, information can be determined that is characteristic of a (long-term) relationship or relationship between certain people P1, P1', P1'' and P2, P2', P2'' and/or changes in communication KB12, ... KB21, ..., in particular communication behavior that can change a relationship or relation, e.g. to a goal or target value.

All examples can also be implemented using a plurality of first personality models PM1 or avatars AV1 and/or a plurality of second personality models PM2 or avatars AV2. Complex communication actions or interactions can also be carried out.

In particular, the result of the at least partially simulated communication SKB12, ... SKB21 can take into account one or more group dynamic effects (e.g. known from psychology or communication sciences for real people). In particular, the information determined in the process can allow conclusions to be drawn about the group dynamic effects (e.g. to be expected or predicted for certain parameters). This can be used for supporting communication between multiple first persons P1, P1', P1'' and multiple second persons P2, P2', P2'' as a group.

• - Einlesen der Daten eines ersten Persönlichkeitsmodells PM1 bzw. ersten Avatars AV1, korrespondierend mit der einen oder mehreren ersten Personen P1, P1', P1'' oder Freischalten der Steuerung eines oder mehrerer ersten Persönlichkeitsmodelle PM1, PM1', PM1''. Dies kann abhängig von einer vorausbestimmten Bedingung, z:b. einer Überprüfung der Berechtigung und/oder Zahlung erfolgen; und/oder
• - Einlesen der Daten eines zweiten Persönlichkeitsmodells PM2 bzw. zweiten Avatars AV2, korrespondierend mit der einen oder mehreren zweiten Personen P2, P2', P2'' oder Freischalten der Steuerung eines oder mehrerer zweiten Persönlichkeitsmodelle PM2, PM2', PM2''. Dies kann (jeweils) abhängig von einer vorausbestimmten Bedingung, z.B. einer Überprüfung der Berechtigung und/oder Zahlung erfolgen. Beispielsweise kann eine (z.B. an eine bestimmte Bedingung geknüpfte) Berechtigung ein Persönlichkeitsmodell PM2, PM2', PM2'' bzw. PM1, PM1', PM1'' eines oder mehrerer Kommunikationspartners (implizit oder explizit) zu nutzen bewirkt werden;
• - Aktualisieren des ersten Persönlichkeitsmodells PM1, PM1', PM1'' abhängig von den ersten Parametern betreffend eine oder mehrere ersten Personen P1, P1', P1'';
• - Aktualisieren des zweiten Persönlichkeitsmodells PM2, PM2', PM2'' abhängig von den zweiten Parametern betreffend eine oder mehrere zweite Personen P2, P2', P2'';
• - Betreiben, insbesondere Steuern des ersten Persönlichkeitsmodells PM1, PM1', PM1'', insbesondere Verändern des Zustands des ersten Persönlichkeitsmodells PM1, PM1', PM1'', abhängig von den ersten Parameter betreffend eine oder mehrere erste Personen P1, P1', P1'' und/oder eine oder mehrere zweite Personen P2, P2', P2'';
• - Betreiben, insbesondere Steuern des zweiten Persönlichkeitsmodells PM2, PM2', PM2'', insbesondere Verändern des Zustands des zweiten Persönlichkeitsmodells PM2, PM2', PM2'', abhängig von den zweiten Parameter betreffend eine oder mehrere zweite Personen P2, P2', P2'' und/oder eine oder mehrere erste Personen P1, P1', P1'';
• - Konfigurieren und/oder Steuern eines oder mehrerer Unterschiede die Persönlichkeitsmodelle PM1, PM1', PM1'', ... PM2, PM2', PM2'' bzw. Avatare AV1, AV1', AV1'', ... AV2, AV', AV2'' im Vergleich zu den Eigenschaften (z.B. den persönlichen, personenspezifischen Merkmalen) und/oder den Parameter des Zustands der entsprechender Personen. Beispielsweise kann ein oder mehrere Unterschiede (z.B. Differenz, Faktor, weitere Eigenschaften) die ein Persönlichkeitsmodell bzw. Avatar im Vergleich zu einer Eigenschaft und/oder Zustand der entsprechenden Person aufweisen (insbesondere auch zu verstehen simulieren) soll, konfiguriert bzw. gesteuert werden. Beispielsweise können Unterschiede abhängig von einer vorausbestimmten Bedingung aktiviert bzw. freigeschaltet werden;

13 illustrates some features of the method or system that can be combined with all of the features in the present document.

• - Reading in the data of a first personality model PM1 or first avatar AV1, corresponding to the one or more first persons P1, P1', P1'' or enabling the control of one or more first personality models PM1, PM1', PM1''. This may depend on a predetermined condition, e.g. verification of eligibility and/or payment; and or
• - Reading in the data of a second personality model PM2 or second avatar AV2, corresponding to the one or more second persons P2, P2', P2'' or enabling the control of one or more second personality models PM2, PM2', PM2''. This can (respectively) take place depending on a predetermined condition, eg a verification of authorization and/or payment. For example, an authorization (eg linked to a specific condition) to use a personality model PM2, PM2′, PM2″ or PM1, PM1′, PM1″ of one or more communication partners (implicitly or explicitly) can be effected;
• - updating the first personality model PM1, PM1', PM1'' depending on the first parameters relating to one or more first persons P1, P1', P1'';
• - updating the second personality model PM2, PM2', PM2'' depending on the second parameters relating to one or more second persons P2, P2', P2'';
• - Operating, in particular controlling the first personality model PM1, PM1', PM1'', in particular changing the state of the first personality model PM1, PM1', PM1'', depending on the first parameters relating to one or more first persons P1, P1', P1 '' and/or one or more second persons P2, P2', P2'';
• - Operating, in particular controlling the second personality model PM2, PM2', PM2'', in particular changing the state of the second personality model PM2, PM2', PM2'', depending on the second parameter relating to one or more second persons P2, P2', P2 '' and/or one or more first persons P1, P1', P1'';
• - configure and/or control one or more differences, the personality models PM1, PM1', PM1'', ... PM2, PM2', PM2'' or avatars AV1, AV1', AV1'', ... AV2, AV ', AV2'' in comparison to the properties (eg the personal, person-specific characteristics) and/or the parameters of the condition of the corresponding persons. For example, one or more differences (eg difference, factor, other properties) that a personality model or avatar should have in comparison to a property and/or condition of the corresponding person (in particular also simulate to be understood) can be configured or controlled. For example, differences can be activated or enabled depending on a predetermined condition;

In addition, an (information technology) operative connection or coordination, communication between the first personality models PM1, PM1', PM1'' of the one or more first persons P1, P1', P1'' among themselves; and/or between the second personality models PM1, PM1', PM1'' of the one or more second persons P2, P2', P2'' among themselves; to be executed. This can be done using the protocol already described (e.g. for verbal and/or body language communication). This can be done by means of the simulated communication. For example, the cross-influences between the persons P1, P1', P1'' or P2, P2', P2'' can be simulated or supported in the communication KB12, ... KB21, ....

The support of the communication KB12, ... KB21, ... is achieved by (by means of) executing one or more (e.g. dynamic) first personality models PM1, MP1', PM1'' of one or more first persons P1, P1', P1' ' and/or by (by means of) executing one or more (e.g. dynamic) one or more second personality models PM2, MP2', PM2'' of one or more second persons P2, P2', P2''.

Depending on the execution of the personality models PM1, MP1', PM1'', or PM2, PM2', PM2'', one or more communication messages can be generated (e.g. by means of the communication message generator). Alternatively or additionally, supporting an interpersonal communication KB12, ... KB21, ... between one or more first persons P1, P1', P1'' and one or more second persons P2, P2', P2'' by means of one or several first avatars AV1, AV1', AV1'' of one or several first persons P1, P1', P1'' and/or one or several avatars AV2, AV2', AV2'' of one or several second persons (P2, P2', P2'') is executed.

In the method, the (different) information is determined and made available to support the interpersonal communication KB12, . . . KB21, . In particular, a user functionality, in particular one or more communication assistants for (specific) persons (P1) or (P2) can be operated depending on the information.

For example, the one or more first persons P1, P1′, P1″ can operate their avatar (also understood to be assigned to them) as part of the at least partially virtual communication (KB12, . . . KB21, . This can be done using avatars that are trained depending on various parameters related to the persons (e.g. the first parameters and/or second parameters).

This can be set up and/or trained to determine, in particular to simulate, the effects of various perceptions and/or reactions to them. The perception of at least partially real and/or at least partially virtual circumstances can be trained and/or operated depending on the perception of the one or more real people, in particular assigned to the avatar. This can be or include, for example, information perceived virtually, various communication messages, perceptions in the at least partially virtual space) and/or reactions to various perceptions.

Alternatively or additionally, the at least one avatar can be trained and/or operated, the effects of one or more perceptions or circumstances; and/or the reaction to the perceptions or circumstances, in particular to simulate them.

The at least one avatar is set up, in particular trained and/or operated, with one or more characteristics, in particular with regard to character, behavior, external impact and/or of the inner workings of the one or more (e.g. in the assigned, for example the one or more first persons and/or one or more second persons), in particular with regard to communication. This can apply during operation or in a specific operating mode of the avatar. Alternatively or additionally, the at least one avatar can have a difference to the characteristics based on the characteristics of the one or more (specific) persons, in particular an adjustable, selectable, linked to one or more conditions, or can be set up or trained for them.

For example, the one or more (e.g., first and/or second) individuals may generate said support information and/or voting information and/or feedback and/or report information through their respective avatars. This can also take place in the event of an at least partial or temporary absence or distraction from participating in the communication, observing the communication and/or not perceiving the at least partially virtual space. Based on the support information and/or coordination information and/or feedback and/or report information, a (preferably multimedia) perceptible sequence, story, film, experience can be generated (e.g. for the respective person or communication partner, group).

The following is a description of Examples 1-10, each of which describes different aspects of the invention. These can be freely combined with each other and with all other features described in this document. The “first” parameters relate to the first user device AG1, AG1′, AG1″ or its surroundings, the first living space 1, 1′, 1″ and/or the first persons P2, P2′, P2″. The “second” parameters relate to the second user device AG1, AG1′, AG1″ or its surroundings, the second living space 2, 2′, 2″ and/or second persons P2, P2′, P2′.

EXAMPLE 1

One or more first parameters relating to one or more second persons (P1, P1', P1'') and/or one or more second parameters relating to one or more second persons (P2, P2', P2'') are determined and/ or predicted.

One or more first parameters relating to the one or more first persons can be characteristic of a reaction of the one or more first persons to information (respectively) perceived by them. One or more second parameters relating to the one or more persons can be characteristic of a reaction of the one or more second persons to information (respectively) perceived by them. This is preferably an almost immediate (e.g. temporal, causal) connection with the sections of information perceived by the person (e.g. specific, respective sections of an internal communication for one or more first persons and/or with sections of the respective person perceived media content) standing reaction act.

To implement the invention, in particular to determine the one or more parameters (PK1, PK2, ... PK9) of the first communication Ka, Kb, Kc, K-a', ... or the one or more parameters (PRMI- a, PRMI-b, PRMI-c, ...) the first reaction of at least one person to the media content MI1, MI2, ... can various sensors of the user devices AG1, AG1 ', AG1''and / or in the sensors of other devices in the vicinity of the user device AG1, AG1', AG1'', e.g. one or more cameras, microphones, preferably several networked microphones, a presence sensor, a motion detector, a fire protection sensor, one or more (web) cameras, etc. must be used or set up accordingly. One can have one or more sensors in the first living space 1, 1′, 1″ or the second living space 2, 2′, 2″ or a camera integrated into an output device (TV, laptop, etc.). used or set up accordingly. For example, at least one sensor or a device comprising a sensor is set up, the one or more first parameters or the one or more second parameters, in particular in response to a request from the first user device AG1, AG1', AG1' or from the second user device AG2 , AG2', AG2' to be determined, in particular to record at least the corresponding (raw) data. In such a case, such a determination of the first or second parameters is also to be understood as determination by means of a first or second user device AG1, AG1′, AG1″ or AG2, AG2′, AG2″. In particular, the first user device AG1, AG1', AG1', or the second user device AG2, AG2', AG2'', is set up not (or optionally not only) during a (only optionally provided) one or more first or second parameters ) to determine telecommunications connection. For example, the user device AG1, AG1′, AG1″ or AG2, AG2′, AG2″ can be used to determine the one or more first or second parameters relating to a specific spatial area RB1, . . . RB8 and/or relating to a certain (first, second) communication or reaction of one or more first persons, in particular a specific first person P1, P1', P1'' or a first person P1, P1', P1'' belonging to a specific group of people, or a corresponding request to determine the parameters is initiated.

In this example, a sensor device SV1, SV2 is attached to the ceiling or lamp of the living space, which enables the acquisition of image data and parameters of different types (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' or The reaction of at least one person and possibly various other acoustic sound waves (audible in the respective living space 1, 1′, 1″, 2, 2′, 2″). In this example, the at least one sensor device SV1, SV2 comprises an essentially downward-pointing camera and several microphones, which are used to determine (localize) one or several sources of the sound waves, e.g. to the sections of the communication K-a, K-b, K-c, K-a' or .the reaction of at least one person. Furthermore, this can be used to detect further sound waves in the vicinity of the first or second user device or in the living space 1, 1', 1'', 2, 2', 2'', e.g. concerning sound waves of a further acoustic content AI-a, AI -b, AI-c, AI-d, are established. Alternatively or additionally, at least one parameter (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' or a parameter (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person can be determined directly by means of a (further) voice control application SSA1, SSA2 that can be operated in the respective living space 1, 1', 1'', 2, 2', 2''.

Said first or second communication K-a, K-b, K-c, K-a' from or between within the respective first living space 1, 1', 1'', ... or the respective second living space 2, 2', 2' ' persons located can be explicitly distinguished from several other acoustic contents AI-a, AI-b, AI-c, AI-d that can be heard in the respective living space, e.g. from the audio signals or sound waves that are emitted in the vicinity and can be heard in the living space, as well as a radio program, a multimedia sound, a telecommunications content. The audible voice used in the said communication K-a, K-b, K-c, K-a' (live, acoustically generated voices of one or more speakers) is distinguished in the process from any human voices that are technically generated or reproduced with technical, electronic means. The difference is taken into account in the procedure.

The communication K-a, K-b, K-c, K-a' can be based on an auditory and/or body language communication. Communication parameters can also relate to the auditory part of a communication and/or to a body language part of the communication.

• - eine Spracheingabe SE1, SE2 in die Sprachsteuerungsapplikation SSA1, SSA2, und/oder
• - einen Sprachbefehl SB1, SB2 für die Sprachsteuerungsapplikation SSA1, SSA2, und/oder
• - eine Frage FR1, FR2 an die Sprachsteuerungsapplikation SSA1, SSA2 handelt.

Diese Spracheingabe SE1, SE2, Sprachbefehl SB1, SB2, Frage FR1, FR2 bzw. ein oder mehrere Parameter der Spracheingabe SE1, SE2, Sprachbefehl SB1, SB2, Frage FR1, FR2 an die Sprachsteuerungsapplikation SSA1, SSA2 kann daraufhin nicht oder anders ausgewertet werden, als ein Abschnitt K-a, K-b, K-c, K-a' einer Kommunikation bzw. ein oder mehrere Parameter (PK1, PK2, ... PK9) der Kommunikation K-a, K-b, K-c, K-a' zwischen zwei Personen. Analog kann auch mit den körperlichen Regungen bzw. Körpersprache der Personen umgegangen werden. Beispielsweise werden im Verfahren nur oder vorwiegend körperlichen Regungen ausgewertet, die an weitere Personen und nicht an eine (denkbare, optionale) Gestiksteuerung gerichtet sind.Different sections of the sound waves or parameters, eg the physical movements, body language recorded in a respective living space 1, 1′, 1″, . . . 2, 2′, 2″ are treated differently in the method. For example, it is determined that a section of acoustic sound waves, e.g. from a specific spatial area RB1, ... RB6, is approximately in the direction of the (only optionally provided) voice control application SSA1, SSA2, or a sensor device SV1, SV2:

• - A voice input SE1, SE2 in the voice control application SSA1, SSA2, and/or
• - a voice command SB1, SB2 for the voice control application SSA1, SSA2, and/or
• - a question FR1, FR2 to the voice control application SSA1, SSA2.

This voice input SE1, SE2, voice command SB1, SB2, question FR1, FR2 or one or more parameters of the voice input SE1, SE2, voice command SB1, SB2, question FR1, FR2 to the voice control application SSA1, SSA2 can then not be evaluated or can be evaluated differently, as a section Ka, Kb, Kc, Ka' of a communication or one or more parameters (PK1, PK2, ... PK9) of the communication Ka, Kb, Kc, Ka' between two persons. The physical impulses or body language of the people can also be dealt with in the same way. For example, only or predominantly physical impulses are evaluated in the method, which are directed to other people and not to a (conceivable, optional) gesture control.

Furthermore, a parameter (PS1, PS2, . . . PS8) of at least one scene S1, . . . S8 is also recorded and processed. The one or more parameters (PS1, PS2, . . . ) of the scene S1, Person, interaction between two or more persons in the vicinity of the user device or within the living space. For example, these are processed in the form of (in principle value-free, neutral) codes. A parameter (PS1, PS2, . . . ) of the scene S1, . At For example, a scene S1, . . . S8 can be classified into one of 8-64 different, appropriately defined classes (PS1, PS2, . . . ), eg assigned in the process. At least one quantitative parameter can also be assigned to a code of the class. In this example, the classes (PS1, PS2, ...) or the corresponding code of the scenes S1, ... S8 each identify some (for the specific living space 1, 1', 1'', or 2, 2' , 2'', arrangements of people in specific spatial areas RB1, . . . RB6 that are typical or atypical for families in general or for the specific family, for example in relation to one another. In this example, the parameter values (PS1, PS2, . . . ) are determined and processed as code values (PS1, PS2, . The classes or the code values can be selected in such a way that they do not allow any (or any specific or possibly undesirable) conclusions about the events or what is happening in the respective living space 1, 1′, 1″ or 2, 2′. , 2'' allow.

For example, a class (PS1, PS2, ...) of a scene S1 roughly corresponds to a dinner together, another class (PS11, PS21, ...) corresponds to a game with a child S2, a class (PS12, PS22, .. .) reading a book S3, a class (PS13, PS23, ...) doing housework S4, a class (PS14, PS24, ...) making music S4, a class (PS15, PS25, ...) ) a television S5 for two, a class (PS16, PS26, ...) a more or less light family dispute S6, a class (PS17, PS27, ...) a further interaction of a certain kind, between the persons S8, class (PS18, PS28, ...) can be, for example, an unclassifiable scene S0 or one excluded (by a certain criterion, intentionally) from processing, and the like. Processing a corresponding class or category (PS1, PS2, . . . ) of a scene S1, . . . S8 makes handling the method much easier.

A parameter (PS1, PS2, ...) of a scene S1, ... S8, if it is not intended to be recorded, can be switched off or it cannot currently be recorded sufficiently by means of a probability calculation, e.g. depending on historical data (PS1' , PS2', ...) can be estimated in the respective living space 1, 1', 1'' or 2, 2', 2''. A parameter (PS1, PS2, ...) of the scene S1, ... S8 can also be defined depending on a user input, or as pre-assigned, e.g. assumed, interpolated, or by statistically suitable parameter values (PS1''', PS2'' ', ...) from one or more living rooms 1, 1', 1'', or 2, 2', 2''. For example, instead of one or more non-detectable or missing parameters for a living space 1 or 2, a parameter based on one or more parameters from one or more other living spaces 1', 1'' or 2', 2'' determined and taken into account as a representative. In particular, one or more living spaces 1′, 1″ or 2′, 2″ can be determined which have at least a certain (definable) degree of similarity with the living space 1 or 2, in the past at least similar parameters corresponding type as the living space 1 or 2, and/or one or more of the parameters of a different type have at least a certain degree of similarity with the corresponding parameters of the corresponding type of living space 1 and 2.

Depending on the recognized scene S1, . . . S8 with the parameter (PS1, PS2, . For example, certain processes and/or settings, for example set by a user and/or rated as “good” (or the opposite of “bad” or not as “bad”) by means of an operator action by a user, are learned, and in particular during recognition a similar or comparable scene S1, ... S8 with the (similar) parameters (PS1, PS2, ...) or corresponding parameter patterns (PS1, PS2, ...) or others with the scene S1, ... S8 (At least statistically) correlating boundary conditions, in particular as far as possible and appropriate, reproduced.

In the method, the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . 'generated, in particular perceptible and/or made recognizable as such.

A set of several (statically or dynamically effective) features that characterize the communication message is preferred, e.g. features of the voice made perceptible by a (second) person (as a listener or observer), dialect, forms, if necessary figure, proportions, body language , a significant part of the behavioral characteristics are essentially retained or remain unchanged over longer periods of time, e.g. within one or more usage cycles or within days, months or years. As a result, the perception of the communication message as a more or less independent, living, in particular human or animal being, as well as a type of personal bond, can be increased.

For example, in the method, characteristics and/or connections between characteristics of a personality that are inherent in a personality type or character or a communication behavior that is perceptible, identifiable, for example by an outsider, specialist from the field of psychology or communication sciences, are depicted in at least one communication message, determined, stored and/or taken into account in the method, in particular as a corresponding or correspondingly configured simulation or a corresponding or correspondingly configured neural network. A personality model or avatar can be changed in the form of a stored association rule, association logic, a database representing (association) assignments of different strengths, e.g. so-called neuronal weight information, between certain parameters, contexts, situations, content and a decision, behavior or behavior or configured. Any features that are relatively difficult to express mathematically or in the form of parameters can (at least initially) be represented by features or data that correlate or are causally connected with these statistical values. Therefore, not all conceivable characteristics of a personality, character or psyche have to be simulated in the process. Essentially, only certain behavioral characteristics that are particularly relevant (for differentiation or perception from the outside) can be simulated.

In a further example, the one or more parameters of the communication message can be dependent on a person located in the vicinity of the corresponding user device or perceiving, listening or observing the communication message. For example, a (first or second) specific person or a group of people of the at least one person in the vicinity of the user device can be recognized as such, in particular estimated, and the parameters of the communication message can then be determined or adjusted. For example, a parameter of the communication message can be determined or adapted to a specific (first or second) person within a long time interval, in particular in the form of a learning process or training. In particular, an effect on the person or a reaction of the person can be pursued as a target or target value, e.g. specified or changed as a target for carrying out the learning process. Furthermore, a personality model or avatar can be or can be selected (at least initially) depending on the behavior, communication, personality model of a (real) second person. This can in turn be based on the principle of (mutual) complementarity. For example, this can be done according to predetermined criteria, e.g. to comply with a certain deviation, difference, criteria known from communication sciences.

For example, a parameter of the communication message can be determined or adjusted depending on specific actions, communications, reactions, or behavior of the one or more (real) first persons. This can be done without specifying specific actions, without outputting specific content, without reproducing the content of the first communications or first media content. Rather, depending on the first parameters (only or mostly only), the second parameters that are characteristic of the (perceptible) behavior, interaction, emotion, opinion, character of the communication message (e.g. state or state change of the personality model or avatar depending on which the Communication message is generated) can be determined or adjusted. These, in turn, can be almost completely abstracted from the respective content, context or specific parameter values. A specific action or interaction with the corresponding second person, e.g. carried out by means of the communication message, can be controlled at least predominantly depending on the conditions that apply (at the corresponding time interval and/or locally). A conscious control of the communication message by a first person does not have to take place and can be prevented (with various technical means). Only in exceptional cases can the communication message (which appears on a second user device and can be perceived by the second person) also be at least partially consciously controlled by the one or more first persons.

• zum Inhalt,
• zum Thema,
• zur Wortwahl,
• zu einem linguistischen Merkmal,
• zur Sprache, Dialekt
• zum Kontext
• zumindest eines Abschnitts der (ersten) Kommunikation K-a, K-b, K-c, K-a' bzw. der (ersten) Reaktion;
• UND/ODER
• in einer zweiten Abhängigkeit (z.B. hier: unähnlich oder explizit abweichend, kontrastierend) zu einem oder mehreren Parametern oder Aspekten zumindest eines Abschnitts der Kommunikation K-a, K-b, K-c, K-a' innerhalb des einen oder mehreren ersten Wohnräumen 1, 1', 1'' und/oder zu einer oder mehreren Reaktionen der zumindest einer Person innerhalb eines oder mehreren ersten Wohnräume 1, 1', 1'', erzeugt werden, insbesondere in einer zweiten Abhängigkeit:
  • zum Inhalt,
  • zum Thema,
  • zur Wortwahl,
  • zu einem linguistischen Merkmal,
  • zur Sprache, Dialekt,
  • zum Kontext
  • zumindest eines Abschnitts der Kommunikation K-a, K-b, K-c, K-a' bzw. der Reaktion;

A parameter of the communication message can have a first dependency (e.g. here: essentially similar or suitable) to one or more parameters or aspects of one or more sections of the first communication Ka, Kb, Kc, Ka' (within the one or more first living spaces 1 , 1', 1'') and/or to one or more reactions of one or more first persons, in particular in a first dependency:

• Go to content,
• on the subject,
• for choice of words,
• to a linguistic feature,
• to language, dialect
• to the context
• at least a portion of the (first) communication Ka, Kb, Kc, Ka' or the (first) response;
• AND OR
• in a second dependency (e.g. here: dissimilar or explicitly deviating, contrasting) to one or more parameters or aspects of at least one section of the communication Ka, Kb, Kc, Ka' within the one or more first living spaces 1, 1', 1'' and/or to one or more reactions of the at least one person within one or more first living spaces 1, 1', 1'', in particular in a second dependency:
  • Go to content,
  • on the subject,
  • for choice of words,
  • to a linguistic feature,
  • to the language, dialect,
  • to the context
  • at least a portion of the communication Ka, Kb, Kc, Ka' or the response;

The method can be executed or can be executed if one or more of the second parameters (with the exception of the effect directly or indirectly caused by the invention) have no other (direct, indirect, temporal or causal) dependencies on the one or more of the have first parameters.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated, depending on the one or more acoustic or acoustically detected first parameters, at least one or more parameters of a visual output (of a visually perceptible part of the communication message, e.g. a image or video output) to determine or adjust.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to determine at least one or more parameters of an auditory output (of an auditory perceptible part of the communication message) depending on the one or more optical or optically detected first parameters or adjust. A first parameter (PK1, PK2, . . . PK9) or (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, . ..) visualized within the communication message by means of the neural network DNN1, DDN2, DNNZ or to operate an image generator controlled by the neural network DNN1, DNN2, DNNZ, to execute video editing actions or depending on an optically detected first parameter (second ) parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message, e.g. a parameter of text generation, speech generation (AM1, AM2, AM3, ...), video generation, can be determined or adjusted. Likewise, an (any other) feeling, e.g. a tactile perception, can be generated or its parameters can be determined or adjusted. For example, a text generator, speech generator, image generator, video generator, body language generator (e.g. mimic generator and/or gesture generator), scene generator, generator of tactile, gustatory or olfactory stimuli (e.g. a touch generator, scent generator or scent organ and/or a taste generator, etc.) be controlled.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated, a specific effect or the reaction of the (e.g. specific perceiving) person P2, P2', P2'' or a person P2, P2' , P2 '' belonging to a specific group of people to strive for or to achieve. In other words, the neural network DNN1, DNN2, DNNZ can be trained and/or operated with the at least expected effect or reaction associated with a specific person P2, P2′, P2″ or a person P2, P2′, P2″ to a specific group of people (e.g. depending on a given goal or target value).

The respective dependencies, in particular cross-dependencies, identified, for example, in the mathematical context or in the at least one neural network DNN1, DNN2, DNNZ (for certain first persons P1, P1', P1'', second persons P2, P2', P2'', the combinations of the first persons P1, P1', P1'' and the second persons P2, P2', P2 '') be selected or trained differently.

In a further combinable example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated in order to avoid certain effects and/or reactions. For example, depending on the neural network DNN1, DNN2, DNNZ, a communication message MS1, MS2, . . . AM1, AM2, AM3 . In particular, this can be done to identify potential or possible undesired communication messages MS1, MS2, ... AM1, AM2, AM3 ... and/or effects or reactions, e.g. in a person (e.g. a specific person P2, P2', P2' 'or a person belonging to a specific group of people) and/or in a specific context, scene S1, ... S8, state, mood, historical data, and/or in combination with further media content MI1, MI2... to avoid. For example, the neural network DNN1, DNN2, DNNZ can be trained and/or operated certain effects or effects with certain characteristics, parameter value ranges, etc. in connection with the one or more communication messages, e.g. unwanted interactions (e.g. with a second communication, with a Median content, intentions, mood of people P2, P2', P2'', etc.) to reduce, especially avoid.

In a further example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated in order to avoid certain effects and/or reactions that (also) occur without or (also) independently of the at least one communication message MS1, MS2, ... AM1, AM2, AM3 ... are possible or probable or have been predicted. For example, the neural network DNN1, DNN2, DNNZ can be trained and/or operated using a communication message MS1, MS2, . . . AM1, AM2, AM3 . . . or a personality model PM1, PM1, PM1'' or an avatar AV1 , AV1', AV1'' to avoid an undesired course of a communication K2-a-K2b-K2c, K2-a', or the occurrence of a critical emotion, intention, action, behavior etc. For example, the neural network DNN1, DNN2, DNNZ can be trained and/or operated to (by means of the communication message MS1, MS2, ... AM1, AM2, AM3 ... or the avatar) a (e.g. possible, probable, predicted and /or already started) to avoid an undesirable action, behavior change, etc. A measure (e.g. also carried out by determining or adjusting the parameters of the communication message) can be initiated.

In a further combinable example, communication messages comprising haptic (also to be understood in particular: tactile) stimuli can be generated or received by one or more second persons. This can be done using a device described below, which can be carried, for example, by one or more first persons and/or one or more second persons. The device can be the (respective) user device, controlled by it or counted among the (first or second) user device.

It can be a device that can be worn on the body, in particular a piece of clothing, which in particular detects local and/or high-resolution biometric parameters and/or generates locally resolved stimuli. The biometric parameters or stimuli can (at least in places, on certain relevant body parts) be spatially resolved to less than one centimeter or millimeter, in particular tenths of a millimeter. In particular, complex tactile stimuli (e.g. comparable to a human touch) can be generated.

For example, one or more tactile stimuli (e.g. for the one or more second persons) can be generated (e.g. depending on the specification of the one or more first persons). On the basis of an at least partially predetermined movement or touch (e.g. recorded by the device), these can correspond to one or more first persons. The one or more parameters of the communication message comprising the haptic stimulus (e.g. sensed touch) can be determined or adjusted. Alternatively or additionally, a haptic stimulus can be generated (even without a recorded movement or touch of the one or more first persons). For example, a communication message comprising haptic content can be generated based on a linguistic, textual, acoustic and/or visual specification. Alternatively or additionally, a haptic stimulus can be generated and/or used as a prime stimulus.

A communication message comprising olfactory or gustatory stimuli can be generated in an analogous manner. This (or the corresponding part of the communication message can be generated by means of a scent generator, in particular a scent organ. One or more parameters of the olfactory or gustatory perceptible stimuli (eg smells, scents, tastes) can be determined or adjusted. Alternatively or additionally, an olfactory or gustatory stimulus can be generated and/or used as a prime stimulus.

In a further combinable example, the communication message can be generated and/or operated on the basis of a personality model that has been read in (or as a function of a large number of the first parameters determined in the method, determined personality model) of one or more specific persons. In this example, the one or more specific persons can be persons selected according to specific criteria, e.g. known, related, in particular absent, unreachable, perhaps deceased first persons. In this case, for training and/or operating the at least one neural network DNN1, DNN2, DNNZ, first parameters in connection with the (first or second) persons who are selected according to certain criteria can be selected or excluded. For example, several different people P1, P1′, P1″ or P2, P2′, P2″ are selected based on the corresponding first or second parameters, to create the at least one neural network DNN1, DNN2, DNNZ, in particular one operated by it or used personality model to train. The personality model can (predominantly) be independent of the knowledge base, e.g. the knowledge of the specific person or be abstracted from this knowledge.

For the actual action, interaction, communication or communication message of the one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'', a largely different or newer, second knowledge base can in turn be used. The second knowledge base can, for example, relate to information on the latest news, current topics, events, communications between at least two real people (e.g. in a second living space), or correspond to a changed or expanded first knowledge base.

By generating the communication message for the at least one second person (for output on their second user device), a possibility can be created for them mentally, or at least with regard to the behavior, characteristics of the one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1′, AV1″ and/or an at least partially shared knowledge base (or in the case of predominantly separate knowledge bases) with one or more specific persons, so to speak, emotionally. This can also take place without communicating directly about the corresponding information or contexts about the information.

In a variant of the method, a constantly adaptable, in particular updatable or growing common knowledge (e.g. insider knowledge) or a common association network or value system can be created or maintained between the at least two (specific, selected) people. Even if the said persons do not communicate with each other or only slightly and/or live in different time zones or each have different current topics, the respective communication messages can still have a (subjectively very important for people) presence, communication and an emotional connection with another of the said make people come alive. For example, a communication message for a first person can be generated including jokes, punchlines about new information, which the second selected (possibly actually existing) person does not know or must necessarily know. At the same time, they can have at least one recognizable characteristic of the personality of the second selected (possibly real) person or vice versa. For example, the communication message can relate to information, in particular a topic, e.g. on the latest news, on current world events, which was not yet available at the time interval to which the one or more first parameters referred.

In particular, parameters of the communication messages from at least two selectable persons, eg persons who have a specific reference value, eg specific reference information, can also be determined or adjusted at least partially as a function of one another. For example, the states, state changes, conditions for a state change of a (second) media output generator can be determined or adjusted depending on a parameter of a first media output generator. In other words, the parameters of media outputs can be determined or adjusted to one another in a certain relation, eg factor, time parameter, correlation, eg a certain synchronicity, etc. can be brought about. This can be done without direct control, for example by changing the weight information already mentioned, for example with a "soft" influence. The first persons can, for example, according to their affiliations to certain persons groups, and/or parameters of the reactions are selected depending on the at least one parameter of the communication.

Furthermore, in the method, one or more additional audio signals MS1, MS2 ..., and/or another content AI-a, AI-b, AI-c, AI-d that can be perceived by humans. Each of the second parameters described in this document (on the second user device or within the second living space 2, 2', 2'') can be set in a specific way, e.g. to achieve a specific one, by an optimization criterion (OK1, OK2 , OK3, ...) intended purpose or goal, can be determined or adjusted in the process. Preferably, other (measure) variants of determining or adapting the parameters can be used for the (predominantly) speech components representing audio signals AS1, or sections or channels of an audio signal, e.g. radio broadcasts.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to evaluate at least a section of the audio signal MS1, MS2, ..., with an indicator for the content of one or more sections of the audio signal MS1, MS2, e.g. shares of speech, singing, music background, scenic background noises can be determined. The information about the recognized components can be taken into account in the method. For example, such an indicator for the composition of the audio signal MS1, MS2 can be determined and taken into account from an evaluation of the signal content (frequency ranges, amplitude profile, etc.) or from data accompanying content AI2, AI2' or VI2, VI2' to be output.

Alternatively or additionally, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated, depending on a determined parameter (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a', and /or parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one first person to media content MI1, MI2, a communication message AM1, AM2, AM3, for a second person P2, P2' , R2'' (to the second user device AG2, AG2', AG2'' or for one or more second persons P2, P2', P2''), which in the communication K-a, K-b, K-c, K-a ' or reaction of the person recognized first emotion, need, intention, appeal as a second emotion, need, intention, appeal to which at least a second person P2, P2', P2'' reproduces (by means of a correspondingly determined or controlled mathematical relationship or by means of the trained neural network DNN1, DNN2, DNNZ) changed, filtered or translated. The second emotion, need, intention, appeal (which is determined, for example, depending on the selected mathematical context, the goal of the training, a target value from the one or more first emotions, needs, intentions, appeals) with the at least one communication message MS1 , MS2, ... AM1, AM2, AM3 are excited or effected. The communication message MS1, MS2, .

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or used, the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... based on diverse information to be output or from several (already for To generate output specific (or yet to be determined) content. The communication message can also be combined, e.g. integrated, by switching, selecting or omitting (here: a controlled process, e.g. executed according to the one or more determined parameters of the communication message, switching, selecting or omitting, merging, e.g. integrating) or changing the media content IAS1a, IAS2a, IAM1a, IAM2a, IAM3a of a first predetermined type, e.g. depending on one or more parameters (PK1, PK2, ... PK9), (PS1, PS2, ..) determined or predicted in the process. .), (PBL1, PBL2, ...), or the corresponding recognized pattern.

Furthermore, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or used a first content or a content of a first type IAS1a, IAS2a, IAM1a, IAM2a, IAM3a (for example from a running program) by at least a second content or a Content of a second (predetermined, method determinable) way to replace IAS1b, IAS2b, IAM1b, IAM2b, IAM3b. Content of the second (predetermined in the method determinable) type IAS1b, IAS2b, IAM1b, IAM2b, IAM3b can be, for example, consumer information of a second type, sufficiently adult sections of media content MI1, MI2 and the like. The second content or the content of the second type IAS1b, IAS2b, IAM1b, IAM2b, IAM3b can be a user and / or manufacturer of the system and / or by an operator of the method or of a service corresponding to the invention, an explicitly desired or not undesired content or type of content.

In the method, the communication message MS1, MS2, . . . AM1, AM2, AM3 . This can determine, parameterize and combine the parts, sections of the audio content or video content, a type of audio and/or video editing in relation to various (information and/or multimedia) content, in particular one or more at least partially previous ones and/or concurrent communications.

The result can be in the form of text messages, sound waves, sound wave patterns and/or images or video outputs and/or an action or interaction on the second user device AG2, AG2', AG2'' or in the second living space 2, 2', 2'', for example almost in real time, in particular in a spatially distributed form or processed as a surround sound effect. The at least one action, interaction or communication message can also be generated on the basis of further (e.g. previous or at least partially simultaneous communications) taking place (almost in real time, with a small time delay to an event or live).

Alternatively or additionally, at least one neural network DNN1, DNN2, DNNZ is trained and/or used to determine or adapt the communication message MS1, MS2, ..., AM1, AM2, AM3 ..., (also) depending on one or more Parameters of the communication message MS1, MS2, ..., AM1, AM2, AM3 ..., relating to the same user device AG2, AG2', AG2'', the same (second) living space 2, 2', 2'', or the same person determine or adjust P2, P2', P2''. For example, this can be done in such a way that an action, interaction or communication message MS1, MS2, ..., AM1, AM2, AM3 ..., in the second living space 2, 2 ', 2' 'as appropriate or not inappropriate the context, state of the second person, a specific event, etc. is generated.

In the following example, a parameter of the scene in the second living space 2, 2', 2'' is determined. This is (also) taken into account when generating the communication message. For example, when one or more sections or variants of the communication message MS1, MS2, . . . , AM1, AM2, AM3 S1, ... S8 and/or a parameter (PK1, PK2, ..., PK9) of the communication K-a, K-b, K-c, K-a' in the second living space 2, 2', 2'' (i.e. also in the living space where the communication message MS1, MS2, ..., AM1, AM2, AM3 ... is generated) is determined. At least two such media content or sections of media content (e.g. audio or video sequences) can be added to one another or output one after the other such that a resulting sequence has a suitable communication message MS1, MS2, ..., AM1, AM2, AM3 ... which, for example, matches a determined parameter, e.g. time parameter (PAM2). The at least one communication message can preferably be generated by means of an appropriate combination of sections of media content, e.g. from the media content or media content read from a network or data carrier. The at least one communication message MS1, MS2, . . . , AM1, AM2, AM3 . An insertion, replacement, modification, selection of a variant, a section and/or one or more parts of one or more multimedia content MI1, MI2, . . . can be carried out. For example, only or predominantly only a visual and/or audible content of the communication message MS1, MS2, . . . , AM1, AM2, AM3 . . . can be inserted, replaced, modified, selected.

For example, depending on the parameters of the first sections, one or more parameters for generating the at least one communication message can be determined or adjusted, with the content of the first sections not having to be part of the communication message. The first sections as such can (and preferably are) unknown on the second user device AG2, AG2′, AG2″. Furthermore, a reassignment of information to specific user devices, (first) living spaces or first persons, e.g. by methods known per se, can be made more difficult.

For example, depending on the ascertained parameters (determined or adapted in the method) of the communication message MS1, MS2, . . . AM1, AM2, AM3, . , AG1'' or in the second living space 2, 2', 2'' taking place or expected) communication Ka, Kb, Kc, Ka' a spatial distribution or redistribution of the on the basis of another, in the vicinity of the second User device or in the second living room 2, 2', 2'', for example an audio signal (or channels, sections of the audio signal) and/or a video signal (or channels, sections of the audio signal) or the acoustic sound waves or sound wave patterns, images Based on the other multimedia signal done. This can be carried out in such a way that at least one section of the spoken communication Ka, Kb, Kc, K-a′, selected in particular according to priority measures (priority indicators), is to be output at least in a specific, relevant directional parameter and/or a section Audio signal MS1, MS2 is less disturbed in terms of its perceptibility, for example for a specific person in the living room 2, 2', 2'', improved and/or transmitted or made perceptible to a sufficient degree according to predetermined criteria. For example, the sound waves can (also) be redistributed between the different at least partially acoustically separate room areas RB1, . . . RB6 within the environment of the user device or the respective living space.

Certain sound wave patterns or distribution of at least two sound wave patterns in or on at least two spatial areas RB1, . . . RB6 can also be generated. The sound wave patterns can be controlled in such a way that a significantly improved separation (or less crosstalk) between the corresponding sound waves, e.g. audible in the at least two adjacent spatial regions RB1, ... RB6, is brought about. The determination of the type and/or priority level of one or more sections K-a, K-b, K-c, K-a' of the spoken communication can be dependent on a determined content-related feature IK-a, IKb, IK-c of a section K-a, K-b, K-c, K-a' of communication are carried out.

In an example, one or more parameters (PK1, PK2, ... PK9) of communication K-a, K-b, K-c, K-a', one or more parameters (PS1, PS2, ...) of scene S1, ... . S8 in the respective living space 1, 1', 1'' one or more parameters (PBL1, PBL2, ...) of a physical emotion BL1, BL2 of at least one person who, with or without the communication K-a, K-b, K-c, K-a' or with or without the section of media content MI1, MI2 occurring at a first time interval (t1 - t2). Said parameters (PK1, PK2, . . . PK9) can be determined in particular as a pattern of the corresponding parameters or parameter values and taken into account in the method.

For example, depending on a parameter (PK1), (PK3), (PK5) and/or (PK7) identifying a section of the communication K-a, K-b, K-c, K-a', from a parameter (PRMI-a, PRMI-b , PRMI-c, ...) the reaction of the at least one person to a (e.g. specific) section of the media content MI1, MI2, each at a first time interval (t1 - t2), a parameter (PK2''), (PK4 ''), (PK7''), and/or (PK1'') of a further or subsequent communication K-a', K-b', K-c', K-a'' and/or a parameter (PRMI1 ', PRMI2, ...) of a further reaction of the at least one person to a further section of the media content, MI1', MI2', in particular in relation to a subsequent time interval, in particular in relation to a specific time interval (t3 - t4) are predicted . The latter time interval (t3'-t4') can at least partially overlap with the time interval (t3-t4) or at least partially correspond to it. The second time interval (t3 - t4) and/or the third time interval (t3' - t4') can each be one, compared to said first time interval (t1 - t2), e.g. approx. 1, 3, 5, 15 , 30, 60 seconds later, e.g. a subsequent time interval.

The one or more parameters (PMS1, PMS2, PAM1, PAM2, PAM3) of the at least one communication message MS1, MS2, ... or AM1, AM2, AM3, ... are expediently recorded in a second living space 2, 2', 2 "determined or adapted in such a way that a reduction in the disturbance or a (e.g. perception-related, psychoacoustic) masking of at least a section of the (possibly taking place or expected) spoken communication K-a, K-b, K-c, K-a' in the second living space 2 , 2′, 2″ on the part of the communication message MS1, MS2, .

Furthermore, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or used a further (second) context, a second scene, a (further) acoustic content AI-a, AI-b, AI-c, AI-d in the vicinity of the second user device AG2, AG2', AG2'' or in the second living space 2, 2', 2'', and then to determine or predict one or more parameters of the communication message MS1, MS2, ... or AM1, AM2, AM3, ..., for example, to determine time intervals that are (particularly) suitable for outputting the at least one (specific) communication message or parts of the communication message. For example, the suitable time intervals can be selected such that, for example, a communication message (fulfilling a predetermined criterion, e.g. a required output duration, subject, reference) is appropriately generated.

For example, two or more time parameters (PMS2, PAM2) for outputting one or more auditory messages AM1, AM2, AM3, ... and/or one or more sections of an audio signal MS1, MS2, to be output, depending on at least one, in particular predicted parameters of the communication and at least one, in particular predicted, parameter of at least one further acoustic content Al-a, Al-b, Al-c, Al-d (in the respective living space 1, 1', 1'', or 2', 2', 2'') can be determined or adjusted. For example, the content of an auditory message AM1, AM2, AM3, ... and/or a section of the audio signal MS1, MS2, ... to be output can be divided into at least two sections and/or the content can be output, depending on the one or more time parameters characterizing suitable and/or unsuitable time intervals, which are determined taking into account ascertained or predicted acoustic contents Al-a, Al-b, Al-c, Al-d in the respective living space.

For example, a parameter of a further audio signal to be output, with which a section of the further audio signal to be output is selected, avoided, suppressed, shifted in time or brought forward in time, can (also) be determined or adjusted in such a way that the generation or perception of the at least one section of the Communication message and/or the further audio signal to be output is favored, not disturbed and/or changed according to a specific criterion, e.g. an optimization criterion. Content that is suitable in terms of type, topic, genre, run length, etc., e.g. media content, can be read from a data carrier or from an Internet portal and output in the living room. Such media content can preferably be selected depending on a run length that characterizes it and/or depending on said determined time parameter and/or genre that is associated or assigned to a determined scene, combination of parameters of said communication according to predetermined criteria. Such a time parameter determines, for example, at least a suitable playback time and/or an output time or a time by which the output is to be completed.

Furthermore, a communication message MS1, MS2, . . . AM1, AM2, AM3, living room 2, 2', 2''. For example, the one or more parameters of the communication message, in particular the auditory message, is determined or adjusted within the second living space 2, 2', 2'' according to a predetermined dependency on the one or more parameters PS1, ... PS8 of the (e.g. to date predominant) second scene S1, ... S8 within the second living space 2, 2', 2'', and/or depending on a comparison of one or more parameters of the second scene in the second living space 2, 2', 2'' with one or more parameters S1, ... S8 of the first scene in the first living space 1, 1', 1''. For example, one or more time parameters for generating two or more communication messages, e.g. each with a specific selection of content or based on different data, depending on the one or more parameters of the second scene PS1, PS2..., in a specific, Order, sequence, combination, in particular as essentially seamless (with or without a short overlap or with a transition effect, e.g. a so-called fade).

Furthermore, at least two communication messages can be selected (also depending on the one or more parameters of the second scene), which at least partially overlap in time and/or space and/or in different parts of the environment, e.g. in spatial areas RB1, ... RB6 of the second Living space 2, 2 ', 2' 'are to be generated. For example, communication messages can include voice messages AM1, AM2, AM3 with certain features, e.g. content, topics depending on several parameters (PK1, PK2, ... PK9) of the communication or communications or parameters that occur particularly frequently, especially in certain combinations (PS1, PS2, ...) of the scene S1, S2, ... or the scenes S1, S2, ... are at least partially preferred, brought forward or at least partially avoided.

For example, in the method, an analysis of a communication K-a, K-b, K-c, K-a' and/or a reaction of one or more first persons P1, P1', P1'' to a section of the communication K-a, K-b, K-c, K-a' and/or executed on a media content MI1, MI2. The analysis can relate to the first sound waves and/or images recorded in the vicinity of the first user device AG1, AG1', AG1' or in the first living space, in particular the parameters of the sound waves and/or images. This can be carried out, for example, in accordance with a rule stored in the said mathematical context. For example, the at least one communication message MS1, MS2, ... AM1, AM2, AM3 ... can be generated by means of a combination, omission, modification and/or synthesis, e.g. on the basis of one or more (to be output, second) output data, e.g auditory content AI2, AI2' and/or visual content VI2, VI2' are executed.

The at least one auditory content AI2, AI2' and/or visual content VI2, VI2' differs entirely or at least predominantly from the first communication Ka, Kb, Kc, Ka' or from the reaction of the at least one person P1, P1, P1 ', or is (chronologically and/or causally) dependent on the communication Ka, Kb, Kc, Ka' or the reaction of the at least one person P1, P1', P1'' or is independent of them. The at least one (second) auditory content AI2, AI2' and/or visual content VI2, VI2' differs entirely or at least predominantly from a (first) auditory content AI1, AI1' or visual content VI1, VI1' in the environment of the first user device AG1, AG1', AG1'' or within the first living space 1, 1', 1''.

The one or more (second) parameters of the at least one communication message can be determined or adjusted in the method (as an alternative or in addition to the neural network DNN1, DNN2, DNNZ) in a (pre)determined dependency, in particular according to a (pre)determined mathematical context , from the one or more first parameters of the reaction of the at least one first person, in connection with the first communication(s) and/or to media content (in the vicinity of the one or more first user devices or within the one or more first living spaces take place.

The mathematical relationship can characterize or represent the at least one specific dependency according to which the one or more (second) parameters of the at least one communication message are determined from the one or more (first) parameters, in particular determined or adjusted. Determining or adjusting the parameter of the communication message differs in particular from a “hard” and/or real-time capable control.

A certain degree of influence of specific first parameters can preferably be exerted on the one or more specific parameters for generating the at least one communication message. Several, in particular a large number, of such (different) measures can apply to certain (different) types of the first parameters and/or to several certain (different) types of the at least one communication message. These can be stored in the mathematical context. For example, a degree of influencing, a probability and/or a probable parameter value for specific second parameter values depending on specific first parameter values can be specified by the mathematical relationship.

For example, the mathematical relationship can recognize and/or take into account one or more (e.g. specific and/or significant) changes and/or accumulations of specific parameter (values) of the (first) communications. In particular, the mathematical relationship can be designed to recognize or take into account certain trends in the corresponding parameter (values), in particular one or more patterns of the parameter (values). A trend is to be understood, for example, as a systematic increase or a systematic decrease, e.g. in a so-called time series, which can also include fluctuation or periodic fluctuations. For example, a dependency on a further variable, e.g. time, a feature of the environment of the respective first user device, the respective first living space, a feature and/or further data of one or more first persons, etc. can be understood as a trend. For example, a trend can be characteristic of a temporal dynamic and/or a statistical distribution of the parameters, in particular the parameter value ranges, for certain patterns, etc. For example, a change, accumulation, trend, and/or pattern of certain parameters (e.g. the value ranges of the parameters ) or the parameter of a certain type, the communication and/or the reaction of (respectively) one or more first persons are recognized and (as such) taken into account. Thereupon, one or more (second) parameters of the one or more communication messages (on one or more second user devices or in one or more second living spaces) depending on a change, accumulation, trend and/or pattern of the determined first parameter (values) or first parameters of certain types are determined or adjusted.

The mathematical relationship can be a (e.g. predefined) mathematical law, rule, regulation, form and/or relation between one or more first parameters (also to be understood as corresponding values of the parameter or parameters), in particular the first parameters of a specific type or different specific types , and one or more (second) parameters of the communication message. For example, the mathematical context can identify, in particular represent, a mathematical law, rule, regulation, formula and/or relation, according to which the one or more (second) parameters of the communication message differ from one or more of the (first) parameters, e.g. one or more parameters a first communication and/or a parameter of a reaction of the at least one (first) person to a media content.

The mathematical relationship can identify parameters, coefficients or weight information and/or bias terms for one or more, in particular predetermined, equations, polynomials, a decision matrix, a further neural network or a simulation. This is preferably an expediently defined or ascertained, in particular trained, mathematical relationship, e.g. dependent on specific, predetermined or selectable optimization criteria. For example, the mathematical relationship can only or predominantly characterize a mathematical relationship between the said parameters or mathematical operations to be performed on the parameter values (e.g. proportions, factors, deviations) and not represent the (absolute) parameter values or only in a reduced form.

In particular, the aforesaid mathematical relationship is a mathematical relationship that is essentially constant when the steps of the method are executed, e.g. within a so-called epoch. For example, this can have a specific constant rule, logic, formulas, coefficients or a topology, weight data or bias term of a neural network. These can (each) form a so-called checkpoint. However, these can differ for different (second and possibly first) user devices, living spaces, people, desired goals, target areas of the effects, e.g. be user device-specific, person-specific, living space-specific. For example, parameters of the mathematical relationship that are sometimes roughly or randomly selected can initially be trained or optimized when the steps of the method are carried out multiple times. The mathematical relationship is preferred when the steps of the method are carried out multiple times, in particular to determine the effect achieved with the communication message or the reaction of the at least one second person to the communication message or

The mathematical relationship preferably characterizes at least a temporal relationship and/or a statistical relationship. In particular, the mathematical relationship can include at least one gradient of a parameter according to a time-related quantity (relative quantities, e.g. time intervals, and/or absolute quantities, e.g. a sequence of specific points in time) and/or a statistical function, e.g. dependence on a distribution of the first parameter several different reactions of the one or more first persons, different first communications and/or by means of different first user devices or from different first living spaces.

Such a mathematical relationship can also characterize (or include) a dependency, e.g. an appropriately adjustable or set one, on a time variable and/or on an accumulation of certain parameters (values), on certain patterns of certain parameters (e.g. value patterns, change functions, change patterns). . For example, the mathematical relationship can also be a function of a time variable or characterize (or include) specific time parameters. For example, the mathematical relationship can identify a function of the frequency, e.g. a frequency of occurrence, etc. of certain events, a frequency, e.g. a distribution (in particular distribution function) of the parameter values, certain parameter value ranges, patterns of parameter (values). In this sense, all parameters described in this document, e.g. in connection with the communication(s) or reactions of the persons, can be considered parameters.

EXAMPLE 2 (example description of the procedure)

The method can be presented in the form of the following freely combinable method steps (1) ... (10). In this example, essential or optional process steps are exemplified in the with the 1 executed in the order shown. A different order or various arbitrary orders are also possible. Essential steps (1), (3), (8) of the method are in the 1 shown with solid lines, further advantageous steps are shown with dashed lines.

Various data, features and relationships are taken into account in the process, which are expressed scientifically, in particular mathematically. Some of these can also be read from external sources or created on the basis of information or relationships known from cognitive sciences, communication sciences, etc., if necessary mathematically reproduced or simulated. For example, data based on one or more previous versions of the Method from the surroundings of the same or other user devices AG1, AG1', AG1'' or AG2, AG2', AG2'' or living rooms 1, 1', 1'' or 2, 2', 2'', e.g determined patterns, learning data, history data, etc. (compare also step 10) can be read. Any features, parameters, values and dimensions that are relatively difficult to express in a mathematical form are replaced by features, parameters, values and dimensions or data that correlate with them or represent them, for example on a statistical basis.

For example, certain parameters (values) that are characteristic of certain dimensions and/or certain relationships can be selected depending on the information previously provided by a user or a test carried out with the user (in the method or in another application). . Data, features, relationships that the user enters, e.g. on the basis of his subjective judgment (possibly in an objectified form) can also be taken into account. For example, a first parameter of a first communication and/or the reaction of the at least one first person can be determined or processed taking into account further, in particular historical data relating to the first person or a group of people to which the first person belongs. For example, a parameter of the at least one communication message (on a second user device or within the second living space, for a second person) can be determined or processed taking into account further, in particular historical data relating to the respective person and/or the respective group of people. One or more steps of the method or individual ones of the functionalities described can (optionally), but not or not all of them, be influenced, controlled or executed by at least one neural network DNN1, DNN2, DNNZ.

=> Step encompassing the start of the process

The procedure is started. The data for executing the method are read in. In this example, the method, in particular in one or more steps (2)-(10) of the method, depends on the presence or detection of a specific activity by at least one or at least two first persons P1, P1', P1'' in the vicinity of a first user device AG1, AG1', AG1'' or within the first living space 1, 1', 1'', and/or by at least one or at least two second persons P2, P2', P2'' in the vicinity of a second user device AG2, AG2', AG2'' or within a second living space 2, 2', 2''. Furthermore, (e.g. auditory or visual) content AI2, AI2' or VI2, VI2' to be output on the second user device AG2, AG2', AG2' or within the second living space 2, 2', 2'' program to be output, a media content MI1, MI2, to be output, ..., can be recognized. This also includes recognizing that the output of a content AI2, AI2', or VI2, VI2', of a program is pending, necessary or intended. At least one further step (2)-(10) of the method can then be carried out.

=> Step with determining the information about the persons present, scene, etc.

In an optional step, the presence or a specific activity of a specific (first) person or a (first) person belonging to a specific group of people in the vicinity of the first user device AG1, AG1', AG1'' is detected within the first living space 1, 1′, 1″ or in the vicinity of the second user device AG2, AG2′, AG2″, within the second living space 2, 2′, 2″. The (first) person can be a first person involved in a communication K-a, K-b, K-c, K-a' or in the perception of the media content MI1, MI2, ... within a first living space 1, 1', 1''. act.

Exceptionally, the term “person” can also refer to an animal and/or a virtual being, e.g. a pet located in living space 1, 1′, 1″ or 2, 2′, 2″. In other words, an animal can be treated as a "person" in the process. This means that the method can also be carried out for at least one animal or one person and one animal. In an example of the method, determining one or more parameters of a reaction (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) at least one animal in connection with a communication K1-a, K1-b, K1-c, K1-a' within a first living space 1, 1', 1'' and/or on a media content MI1, MI2, ... inside a first living space 1, 1', 1'', and determining or adjusting a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2 , AM3, ... in a second living space 2, 2', 2'' depending on the one or more parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... or PRMI- a, PRMI-b, PRMI-c ...) of a reaction of at least one animal. For example, such a communication message can represent a mood of the animal or be dependent on it.

In one example, an identifier for a specific person or a specific group of people for the at least one person in the respective living space 1, 1′, 1″ or 2, 2′, 2″ or as a user of the respective first User device AG1, AG1′, AG1″ or AG2, AG2′, AG2″ is associated (or is or was assigned), in particular one at which the communication Ka, Kb, Kc, Ka′ (as a “speaker ' or a 'listener' or 'speaker and listener') involved and/or at least one person reacting to the media content MI1, MI2 can be identified and taken into account in the process.

In one example, a scene S1, ... S8 that is current or that precedes or accompanies said communication Ka, Kb, Kc, Ka' with one or more parameters (PS1, PS2, ...) by means of at least one in the respective living space 1, 1′, 1″, 2, 2′, 2″, for example by means of a sensor device or a camera SV1, SV2. This can be done, for example, using a wide-angle or an omnidirectional camera. In one example, the at least one parameter (PS1, PS2, . . . ) of the scene S1, . . . S8 is recorded using two wide-angle or omnidirectional cameras SV1, SV2, cf. 2 or 3 determined. The at least one camera can be designed as part of the sensor device SV1, SV2, for example, and can be attached to the ceiling of the living space 1, 1', 1'', . . . In a similar way, a sensor device SV1, SV2 or a camera can also be set up in the second living space 2, 2', 2''. In particular, such a camera provides images that cannot be visually interpreted in a meaningful way by humans and are not proportionally correct in the conventional sense. However, these can serve as an input variable for determining a parameter (PS1, PS2, ...) of the scene S1, ... S8 in the respective living space 1, 1', 1'', 2, 2', 2''. The scene S1, . . . S8 is recognized, for example classified, ie assigned to one or more classes or categories (PS1, PS2, . This can also be recognized at a later point in time depending on stored or provided data. These can be quantitative parameters (PS1, PS2, ...) of the scene S1, ... S8. In this example, the detection and recognition of the scene S1, . . . S8 relates only or primarily to the people and possibly to pets. Parameters characteristic of certain types of actions of at least one person are also recognized and taken into account accordingly. For example, performing a specific housework, a specific interaction between the people, etc. is represented as a value of the parameter (PS1, PS2, ...), for example as a class or code of the scene. Only the data relevant to the method are further processed in a coded form, eg as scene classification and scene parameters, action classification. Parameter values can be selected or further processed in such a way that they do not allow any conclusions to be drawn as to what exactly is happening in the respective living space 1, 1', 1', 2, 2', 2''.

The at least one neural network DNN1, DNN2, DNNZ is preferably trained and/or operated around an appropriately selected combination of the parameters (PK1, PK2, ... PK9) or the parameters (PK1, PK2, ... PK9). Types of communication K-a, K-b, K-c, K-a 'and / or the reaction (PRMI-a, PRMI-b, PRMI-c, ...) to select at least one person to consider and / or then determine or adjust a appropriately selected combination of parameters (PMS1, PMS2, ...) or parameters (PAM1, PAM2, PAM3, ...) of certain types of communication message MS1, MS2, AM1, AM2, AM3, ... execute. The at least one neural network DNN1, DNN2, DNNZ can select or exclude the (desired, so to speak) parameters required for training and/or operation in each case as a function of or independently of one another, e.g. as an independent variable in each case.

For example, (predominantly or essentially) parameters (PMS1, PMS2, ...) or (PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, AM1, AM2, AM3 ... of a type determined or adjusted that deviate from the (predominantly or essentially) considered parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a', ... in the surroundings of one or (respectively) several first user devices AG1, AG1', AG1'' or within the one or more first living spaces 1, 1', 1'' and/or by the one or more parameters (PRMI-a, PRMI-b, PRMI-c... .) the reaction of the at least one (first) person to the media content MI1, MI2, ... differs. In other words, depending on the one or more parameters of a first type of input from a first person P1, P1', P1'', one or more parameters of the same or another, second type of at least one (addressed to the one or more second persons ) Communication message MS1, MS2, or AM1, AM2, AM3 are determined or adjusted.

For example, the different types of parameters in the method can each be handled as a function of or independently of one another, for example as an independent variable in each case. For example, (predominantly or essentially) parameters (PMS1, PMS2, ...) or (PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, AM1, AM2, AM3 ... of a type determined or adjusted will the differ from the parameters (PK1, PK2, . . . PK9) of communication Ka, Kb, Kc, K-a', , AG1', AG1'' or within the one or more first living spaces 1, 1', 1'' and/or by the one or more parameters (PRMI-a, PRMI-b, PRMI-c...) of Response of at least one (first) person to the media content MI1, MI2, ... differs. In other words, one or more parameters (PMS1, PMS2, ...) or (PAM1, PAM2, PAM3, .. .) A different, second type of at least one communication message MS1, MS2, or AM1, AM2, AM3 can be determined or adapted.

Furthermore, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated an appropriate combination or the variant (V1, V2, ... V10) of determining the parameters can in this example depend on at least one respectively valid optimization criterion (OK1, OK2, OK3, ...) to select or select. Communication parameters (PK1, PK2, ... PK9) that cannot be determined adequately can be estimated or assumed. For example, a parameter can be replaced by a sample value or by a value (PK1') that is statistically suitable or estimated and/or determined on the basis of the history data, in particular for living space 2, 2', 2'', or 1, 1', 1''. , PK2', ... PK9') are replaced.

=> Step with determination of communication parameters, parameters of reaction PRMI-...

A parameter (PK1, PK2, . . . PK9) of the one or more (first) communications K-a, K-b, K-c, K-a' is determined, preferably predicted. In this example, a current first parameter (PK1, PK2, /or a prediction of a first parameter or parameter value (PK1'', PK2'', ... PK9'') for a time interval lying in the near future (several seconds or minutes ahead). In this example, several parameters of at least two different types, e.g. the types according to (PK1, PK2, ... PK9) of one or more first communications K-a, K-b, K-c, K-a' within a living space 1, 1', 1'' determined in which at least two people are involved, in particular two first people (those in the vicinity of the respective first user device AG1, AG1′, AG1″ or in the first living space 1, 1′, 1″). Preferred are the first parameters (PK1, PK2, ... PK9), (PK1', PK2', ... PK9'), (PK1'', PK2'', ... PK9'') based on multiple communications K-a, K-b, K-c, K-a', ... K-a', K-b', K-c' between at least two people. The one or more parameters of the reaction PRK1-a, PRK1-b, PRK1-c, PRK1-a′, or PRMI-a, PRMI-b, PRMI-c of the at least one person can be analogous to the above statements way to be determined.

The communication K-a, K-b, K-c, K-a' in the vicinity of a user device or AG1, AG1', AG1'' within a living space 1, 1', 1'' means in particular that at least one of the communicating persons is in the vicinity of the User device AG1, AG1', AG1'' or within the living space 1, 1', 1''. The environment of the at least one second user device AG2, AG2', AG2'' (the second environment in which the at least one communication message is made perceptible) differs from the environment of the at least one first user device (several or all of the first user devices actively involved in the method ) AG1, AG1', AG1''. In the method, no communication between one or more first user devices AG1, AG1', AG1'' and the at least one second user device AG2, AG2', AG2'' or no communication between one or more first living rooms 1, 1', 1' 'and the at least one second living space 2, 2', 2'' or no communication between one or more first persons P1, P1', P1'' and at least one second person P2, P2', P2'' take place or be assumed .

The (respective, first or possibly second in an analogous manner) communication K-a, K-b, K-c, K-a' is not between the respective living spaces (not between the first living space 1, 1', 1'' and the second living space 2 , 2', 2'', not between the one or more first persons P1, P1', P1'' and the at least one second person P2, P2', P2''), but rather between at least one first person and a further one first person or a first person and a further person (different from the second person), or optionally between a first person and a technical device in the vicinity of the respective first user device (or on the user device) or within a respective first living space . For example, only or essentially only the respective parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' are taken into account in the method, which occur within the surroundings of the respective user devices AG1, AG1', AG1'' or AG2, AG2′, AG2″ (therefore also on the user devices) or within the respective living rooms 1, 1′, 1′, or 2, 2′, 2″ are generated or determined.

In particular, said (first) communication Ka, Kb, Kc, Ka' in the vicinity of a first user device AG1, AG1', AG1'' or within a first living space 1, 1', 1'' involves at least two people are, an active communication Ka, Kb, Kc, Ka' between said at least two persons. The (first) communication Ka, Kb, Kc, Ka' is carried out in particular without technical means, ie directly, for example acoustically and/or by means of body language. It is preferably a communication Ka, Kb, Kc, K-a' in both directions, ie alternately or almost simultaneously from one of the first persons to another first person or from the other first person to the first person conducted with or without the participation of any person other than these persons. It is a natural, not separately standardized auditory communication and/or body language or body language messages that are not standardized or do not have to be standardized. In particular, it is recognized and taken into account that the at least one section of the communication Ka, Kb, Kc, Ka' is explicitly aimed at a person (present in the vicinity of the respective user device or in the same respective living space) and/or that no Any voice command SB1, SB2 or voice input SE1, SE2 or question FR1, FR2 typical features, keywords, naming a name of the voice control application SSA1, SSA2 or about a virtual service and the like are recognized.

The one or more first communications K-a, K-b, K-c, K-a′ differ or differ from a second communication that takes place only as an option or that is to be taken into account. In particular, these are not or are not directly, real-time capable or causally dependent on one another.

• (PK1), einen Richtungsparameter, kennzeichnend eine oder mehrere Richtungen zumindest eines Abschnitts der jeweiligen Kommunikation K-a, K-b, K-c, K-a', z.B. einer Transaktion, einer Kommunikationsbotschaft; Die Richtung bzw. der Richtungsparameter kann z.B. eine oder mehrere Verbindungen von einem oder mehreren Sprecher zu einem oder mehreren Zuhörer betreffen. Beispielsweise kann ein Richtungsparameter eine Kommunikation „Mann zu Frau“, „Kind zum Vater und Mutter“, „Schwester im Dialog mit dem Bruder“, zwischen bestimmten Personen oder Personen zugehörig zu bestimmten Personengruppen kennzeichnen.
• (PK2), einen akustischen Parameter, z.B. eine räumliche Verteilung der akustischen Schallwellen der Sprache, ein oder mehrere Phasenparameter, z.B. Phasenverschiebungsparameter, Dynamik einer oder mehrerer Amplituden und/oder Frequenzen, einen Amplitudenverlauf, eine zeitliche Amplitudenveränderung, eine Veränderung des Frequenzspektrums bzw. des Energiedichtespektrums der Schallwellen eines Abschnitts der Kommunikation K-a, K-b, K-c, K-a' in der Umgebung des ersten Anwendergeräts AG1, AG1', AG1'' bzw. im jeweiligem Wohnraum 1, 1', 1''.
• (PK3), einen oder mehrere Stimmenparameter einer oder mehrerer (auditiv kommunizierender) Personen im Wohnraum 1, 1', 1'', bzw. ggf. in einer analogen Weise im Wohnraum 2, 2', 2''; eine oder mehrere Frequenzparameter oder Parametermuster einer Stimme, Erkennungsdaten kennzeichnend eine oder mehrere bereits eingelernte oder einzulernende, bzw. erkannte oder wiedererkannten Stimmen;
• (PK4), einen zeitlicher Parameter eines Abschnitts der Kommunikation K-a, K-b, K-c, K-a', z.B. repräsentierend einen oder mehrere Zeitwerte im Zusammenhang mit zumindest einem Abschnitt der Kommunikation K-a, K-b, K-c, K-a', z.B. mit dem Beginn oder dem Ende eines Satzes, einer Transaktion, einer linguistischen Struktur, eines Gesprächs, etc.;
• (PK5), ein inhaltliches Merkmal eines Abschnitts bzw. zumindest einer Transaktion innerhalb der Kommunikation K-a, K-b, K-c, K-a'. Das inhaltliche Merkmal kann sich auf einen hinreichend großen Abschnitt der Kommunikation K-a, K-b, K-c, K-a' bzw. auf eine oder mehrere Kommunikationsbotschaften beziehen. Dabei können mehrere Parameterwerte bzw. Maße, Kennungen zu einem oder mehreren inhaltlichen Merkmalen des zumindest einen Abschnitts der Kommunikation K-a, K-b, K-c, K-a' ermittelt werden, auch ohne dabei den besagten Inhalt (etwa als gesprochene Wörter) zu verarbeiten bzw. in dem zweiten Wohnraum bzw. an Dritte wiederzugeben;
• (PK6), einen Parameter des aktuellen oder erwarteten Kommunikationsverhaltens oder des Kommunikationsstils zumindest einer Person im Rahmen der besagten Kommunikation K-a, K-b, K-c, K-a'; Dieses kann entsprechen der Merkmale eines Kommunikationsmodells, eines Verhaltensmodells (etwa angelehnt an ein menschliches Verhaltensmodell), eines psychologischen Modells ermittelt werden. Ein Parameter des Kommunikationsverhaltens bzw. des Kommunikationsstils kann z.B. mittels einer entsprechend eingerichteten Mustererkennung ermittelt werden.
• (PK7), einen linguistischen Parameter der Kommunikation K-a, K-b, K-c, K-a', der z.B. bestimmte in der Kommunikation K-a, K-b, K-c, K-a' vorkommende linguistische Strukturen bzw. Konstrukte kennzeichnet;
• (PK8), einen oder mehrere Parameter der Kommunikation K-a, K-b, K-c, K-a', der oder die unmittelbar oder mittelbar kennzeichnen:
  • - Phonologische Parameter (z.B. betreffend Phoneme, Silben);
  • - Morphologische Parameter (z.B. betreffend Bestandteile einer Sprache (Morpheme), deren Kombination, Verhältnis zueinander, etc.);
  • - Syntaktische Parameter (z.B. zur Form und der Struktur von Wortkombinationen, Satzgrammatik);
  • - Lexikologische Parameter (z.B. betreffend Nutzung bestimmter Wörter innerhalb der Kommunikation);
  • - Semantische Parameter (z.B. die Bedeutung von Wörtern in Bezug auf bestimmte Gegebenheiten);
  • - Satzsemantische Parameter (z.B. betreffend logische Bedeutung von Sätzen);
  • - Textsemantische Parameter (z.B. betreffend Bezüge auf erkannte Gegebenheiten oder Szene S1, ... S8).
• (PK9), einen oder mehrere Parameter kennzeichnend eine Körpersprache, z.B. einen Abschnitt einer Körpersprache (z.B. auch PBL1, PBL2, ... bezeichnet). Das ein oder mehrere Parameter PK9 der Kommunikation kann insbesondere eine zur Kommunikation K-a, K-b, K-c, K-a' dienende oder diese unterstützende Körpersprache bzw. ein Parameter der (ggf. überwiegend) körpersprachlich geführten Kommunikation K-a, K-b, K-c, K-a' sein. Dieses kann insbesondere eine Art, Klasse, Intensität, Muster (mimisches Muster, Gestikmuster, Pose, Bewegungsmuster, Mikroexpression, eine Veränderung bzw. Veränderungsmuster der Mimik, Gestik, Pose, Mikroexpression, etc.) einer entsprechenden, zumindest teilweise mit der Körpersprache ausgedrückter Botschaft bzw. eine Kommunikationsbotschaft kennzeichnen.

One or more parameters, each as parameter values for the following different types of parameters (PK1, PK2, ... PK9), in particular an (expediently selected) combination of said parameters or said types of parameters (PK1, PK2, .. . PK9) is determined or predicted. In the method, first parameters of different types can be determined and taken into account, which, for example, do not allow any clear or one-to-one conclusions to be drawn from one another. These can (expressed mathematically) be at least predominantly orthogonal to one another or quantities orthogonal to one another. These parameters (or respective parameter values) indicate:

• (PK1), a direction parameter characterizing one or more directions of at least a portion of the respective communication Ka, Kb, Kc, K-a', eg a transaction, a communication message; The direction or the direction parameter can, for example, relate to one or more connections from one or more speakers to one or more listeners. For example, a directional parameter can identify a communication "man to woman", "child to father and mother", "sister in dialogue with brother", between certain people or people belonging to certain groups of people.
• (PK2), an acoustic parameter, e.g. a spatial distribution of the acoustic sound waves of the speech, one or more phase parameters, e.g Energy density spectrum of the sound waves of a section of the communication Ka, Kb, Kc, Ka' in the vicinity of the first user device AG1, AG1', AG1'' or in the respective living space 1, 1', 1''.
• (PK3), one or more voice parameters of one or more (auditory communicating) persons in living space 1, 1', 1'', or possibly in an analogous manner in living space 2, 2', 2''; one or more frequency parameters or parameter patterns of a voice, recognition data identifying one or more voices that have already been learned or are to be learned, or recognized or recognized voices;
• (PK4), a temporal parameter of a portion of the communication Ka, Kb, Kc, K-a', eg representing one or more time values associated with at least a portion of the communication Ka, Kb, Kc, K-a', eg with the Beginning or end of a sentence, transaction, linguistic structure, conversation, etc.;
• (PK5), a content-related feature of a section or at least one transaction within the communication Ka, Kb, Kc, K-a'. The content-related feature can relate to a sufficiently large section of the communication Ka, Kb, Kc, Ka' or to one or more communication messages. Several parameter values or dimensions, identifiers for one or more content-related features of at least one section of the communication Ka, Kb, Kc, Ka' can be determined without processing the said content (e.g. as spoken words) or in the second living space or to third parties;
• (PK6), a parameter of the current or expected communication behavior or communication style of at least one person in the context of said communication Ka, Kb, Kc, K-a'; This can be determined according to the characteristics of a communication model, a behavior model (e.g. based on a human behavior model), a psychological model. A parameter of the communication behavior or the communication style can be determined, for example, by means of an appropriately set up pattern recognition.
• (PK7), a linguistic parameter of the communication Ka, Kb, Kc, K-a', which characterizes, for example, certain linguistic structures or constructs occurring in the communication Ka, Kb, Kc, Ka';
• (PK8), one or more communication parameters Ka, Kb, Kc, K-a', which directly or indirectly identify:
  • - Phonological parameters (eg relating to phonemes, syllables);
  • - Morphological parameters (e.g. concerning parts of a language (morphemes), their combination, relationship to each other, etc.);
  • - Syntactic parameters (e.g. on the form and structure of word combinations, sentence grammar);
  • - Lexicological parameters (e.g. regarding the use of certain words within the communication);
  • - Semantic parameters (eg the meaning of words in relation to certain circumstances);
  • - Sentence semantic parameters (eg concerning logical meaning of sentences);
  • - Text-semantic parameters (e.g. relating to references to recognized circumstances or scene S1, ... S8).
• (PK9), one or more parameters characterizing a body language, eg a section of body language (eg also referred to as PBL1, PBL2, ...). The one or more parameters PK9 of the communication can in particular be body language serving or supporting the communication Ka, Kb, Kc, Ka' or a parameter of the (possibly predominantly) body language communication Ka, Kb, Kc, Ka'. In particular, this can be a type, class, intensity, pattern (mimic pattern, gesture pattern, pose, movement pattern, microexpression, a change or change pattern in facial expressions, gestures, pose, microexpression, etc.) of a corresponding message that is at least partially expressed with body language or mark a communication message.

Optionally, the second parameters (or second parameters of a comparable type) of a second communication (in the vicinity of the second user device AG2, AG2', AG2'' or in the at least one second living space 2, 2', 2'') be determined in an analogous manner. The determination or adjustment of a parameter of at least one communication message (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) can (e.g. as described in this document or in a manner appropriate in each case) depend on a or more parameters of the second communication are determined or adjusted.

In the procedure, one or more parameters, each as parameter values for the following different types of parameters (PRMI-a, PRMI-b, PRMI-c) or (PRK-a, PRK-b, PRK-c, PRK-a') the reaction of the at least one person, in particular in an appropriate combination of said parameters or said types (PRMI-a, PRMI-b, PRMI-c) or (PRK-a, PRK-b, PRK-c, PRK-a' ) determined or predicted from parameters. There can be parameters of different types which, for example, do not allow any clear or one-to-one conclusions to be drawn about one another or are at least largely orthogonal to one another.

• - eine akustische Regung, Stimme, Veränderung der Stimme, eine Interjektion, etc.
• - eine körperliche Regung, auch PBL1, PBL2, ... z.B. als ein bestimmtes Muster in Bezug auf die Mimik, Gestik, Mikroexpression, Pose, etc.;
• - ein Ergebnis einer Auswertung, insbesondere Interpretation der Reaktion, z.B. nach Ihrer Intensität und/oder Art. Die Art der Reaktion kann z.B. eine Aufmerksamkeit, Neugier, Zustimmung, Ablehnung, Betroffenheit, Bedürfnis (z.B. zu erlangen, zu verbergen, sich zu widersetzen, etc.), Verlangen, Scham, Abneigung, Eckel, Entsetzen, Erinnerungsvorgang der Person (an eine vergleichbare Information, Erfahrung, etc.), mangelndes Verstehen, gespielte Gleichgültigkeit, Verdrängung, etc. sein. Eine derartige Auswertung kann z.B. abhängig von körperlichen Regungen, z.B. auf Basis der aus der Naturwissenschaften (z.B. aus der neurolinguistischen Programmierung, Kognitions- und Kommunikationswissenschaften) bekannter Zusammenhänge bzw. entsprechender Erkennung-Muster ausgewertet, insbesondere interpretiert werden;
• - Veränderung des Zustands einer Person, z.B. nach einem Kommunikationsmodell, einem dynamischen, Persönlichkeitsmodell bzw. psychologischem Modell, z.B. nach dem Stimulus-Response-Modell und/oder Riemann-Thomann-Modell; Es kann sich um einen Zustand bzw. Zustandsübergang handeln, der sich nicht oder noch nicht in Form bestimmter Handlungen der Person geäußert hat;
• - Information, z.B. eine Kennung darüber ob es sich zumindest teilweise oder überwiegend um eine unbewusste Reaktion oder eine bewusste Reaktion (auf zumindest einen Abschnitt der Kommunikation bzw. des Mediainhalts) handelt. Die unbewusste Reaktion kann eine Information aus dem Unbewusstsein bzw. des Unterbewusstseins (der entsprechenden Person) kennzeichnen. So kann die unbewusste, insbesondere mittels eines körperlichen Parameters erfasste unbewusste Reaktion für eine Reaktion des Unterbewusstseins der Person, z.B. auf den betreffenden Abschnitt kennzeichnen bzw. repräsentieren;
• - Ein Merkmal der analog mit dem Parameter (PK1, PK2, ... PK9) einer Kommunikation K-a, K-b, K-c, K-a' definiert ist, wobei dieser eine (bestimmte) Reaktion der zumindest einen Person auf einen bestimmten Abschnitt K-a, K-b, K-c, K-a' der Kommunikation bzw. Abschnitt MI-a, MI-b, MI-c, ... des Mediainhalts MI1, MI2, ... kennzeichnet bzw. im Zusammenhang mit dem Abschnitt K-a, K-b, K-c, K-a' der Kommunikation bzw. dem Abschnitt MI-a, MI-b, MI-c, ... des Mediainhalts MI1, MI2, erfasst wird;

The types of parameters (PRMI-a, PRMI-b, PRMI-c) or (PRK-a, PRK-b, PRK-c, PRK-a ') of the reaction of the at least one (first) person can for one or several entries from the following list can be characteristic:

• - an acoustic movement, voice, change of voice, interjection, etc.
• - a physical impulse, also PBL1, PBL2, ... eg as a specific pattern in relation to facial expressions, gestures, micro-expression, pose, etc.;
• - a result of an evaluation, in particular an interpretation of the reaction, e.g. according to its intensity and/or type. The type of reaction can e.g. etc.), desire, shame, aversion, disgust, horror, the person's process of remembering (of comparable information, experience, etc.), lack of understanding, feigned indifference, repression, etc. Such an evaluation can, for example, be evaluated, in particular interpreted, depending on bodily impulses, for example on the basis of the relationships known from the natural sciences (for example from neurolinguistic programming, cognitive and communication sciences) or corresponding recognition patterns;
• - Changing the state of a person, eg according to a communication model, a dynamic personality model or psychological model, eg according to the stimulus-response model and/or the Riemann-Thomann model; It can be a state or state transition that has not or not yet expressed itself in the form of certain actions of the person;
• - Information, eg an identifier as to whether it is at least partially or predominantly an unconscious reaction or a conscious reaction (to at least one section of the communication or the media content). The unconscious reaction can indicate information from the unconscious or the subconscious (of the person in question). Thus, the unconscious reaction, in particular one recorded by means of a physical parameter, can characterize or represent a reaction of the person's subconscious, for example to the section in question;
• - A feature that is defined analogously with the parameter (PK1, PK2, ... PK9) of a communication Ka, Kb, Kc, Ka', this being a (specific) reaction of the at least one person to a specific section Ka, Kb, Kc, Ka' of the communication or section MI-a, MI-b, MI-c, ... of the media content MI1, MI2, ... identifies or in connection with the section Ka, Kb, Kc, Ka' communication or the section MI-a, MI-b, MI-c, ... of the media content MI1, MI2 is recorded;

A respective parameter (PWK-a, PWK-b, PWK-c, PWK-a') of the effect or effectiveness of the section of communication K-a, K-b, K-c, K-a' or a parameter (PWMI-a, PMI -b, PMI-c, ...) of the effect or effectiveness of the portion of the media content MI1, MI2, ... that leads or has led to said reaction. In particular, the at least one determined parameter (PRMI-a, PRMI-b, PRMI-c) or (PRK-a, PRK-b, PRK-c, PRK-a′) of the reaction of the at least one person already takes into account the corresponding stimulus , i.e. the at least one parameter of the effect or effectiveness of the section or the first piece of information.

At least one parameter (PK1, PK2, . . . PK9) and/or (PRMI-a, PRMI-b, PRMI-c) or (PRK-a, PRK-b, PRK-c, PRK-a') can include an identifier of one or more relevant environments of the respective user device AG1, AG1', AG1'', in particular one or more relevant spatial areas RB1, ... RB6, for example an identifier of a spatial area RB1, ... RB6 from and/or to in which a relevant section of the communication K-a, K-b, K-c, K-a' is conducted, or in which the reaction of the at least one (first) person takes place.

Preference is given to two or more parameters or two different types of parameters (PK1, PK2, ... PK9) in connection with said communication K-a, K-b, K-c, K-a' and/or parameters (PRMI-a, PRMI-b, PRMI -c) the reaction of the at least one person to specific sections MI-a, MI-b, MI-c of the at least one multimedia content MI1, MI2, ... determined, in particular predicted. These can be processed in the process in any of a variety of combinations (each appropriate). For example, parameters relating to different time intervals (current, from the past and/or predicted for the near future) can be determined and taken into account. Preferably, several parameters (PK1, PK2, . . . PK9) or (PRMI-a, PRMI-b, PRMI-c) are detected or predicted continuously, in this example approximately once per second or more frequently. Each of said parameters (PK1, PK2, . . . PK9) or (PRMI-a, PRMI-b, PRMI-c) can identify multiple values or dimensions. Likewise, an auditory or acoustic or physical communication stimulus of an animal, in particular a pet, (as a first person), e.g. in response to a first piece of information, can be determined in a corresponding manner and taken into account in the method.

For example, in the method at least one physical activity of at least one person P1, P1′, P1″ can be recorded and/or a parameter (PBL1, PBL2, . . . ) of the physical activity can be determined and taken into account. Furthermore, it can be determined whether the at least one physical stimulus or the parameter of the physical stimulus belongs to the communication Ka, Kb, Kc, Ka', in particular a reaction in connection with the communication Ka, Kb, Kc, Ka' and the determined information are taken into account. It can also be determined whether the at least one physical stimulus or the parameter of the physical agitation is a reaction to media content MI1, MI2, ..., in particular to a section MI-a, MI-b, MI-c, ... of media content MI1, MI2, and the ascertained information is taken into account.

Within the scope of this document, the at least one physical stimulus also includes one or more (specific) gestures, facial expressions, eye movements, micro-expressions, dilation or contraction of the pupils, body alignments, poses, (specific) changes and/or combinations of such. In particular, the physical agitation and/or the body language, as well as one or more corresponding parameters (PBL1, PBL2, . . . ) can relate to a physical agitation or body language that is essentially not consciously generated or controlled. This can be detected based on microexpressions, changes in parameters of the person's voice, with a wearable or implanted sensor.

In this example, depending on a physical posture (e.g. captured with a camera) and/or a conscious or unconscious physical impulse, and/or certain recognized gestures, facial expressions, micro-expressions, etc., at least one of the said communication K-a, K-b, K-c, K-a' person involved (the speaker and/or the listener), assuming that a spoken message: explicitly to a voice control application SSA1, SSA2, and/or explicitly not to the voice control application SSA1, SSA2, and/or to another ( in particular a specific person in the vicinity of the respective user device AG1, AG1′, AG1″ or within the respective living space 1, 1′, 1″.

All parameters, e.g. (PK1, PK2, ... PK9) of the communication and/or parameters (PRMI-a, PRMI-b, PRMI-c) of the reaction of the at least one person can be combined with or dependent on at least one parameter (PS1, PS2, ...), e.g. identifying a class of a scene S1, ... S8 that is detected or estimated or assumed with a certain probability in the environment of the user device AG1, AG1, AG1'' or AG2, AG2', AG2'' or the respective living space 1, 1', 1'' or 2, 2', 2'' are processed or taken into account. All said communication parameters (PK1, PK2, ... PK9) can also be evaluated depending on a parameter (PS1, PS2, ...) of the scene S1, ... S8. In particular, the one or more parameters (PK1, PK2, ... PK9) of the communication and/or parameters (PRMI-a, PRMI-b, PRMI-c) of the reaction of the at least one person depending on the parameter (PS1, PS2 , ...) of the scene S1, ... S8 are interpreted. The (measure) variant (V1, V2, ... V10) for determining or adjusting a parameter (PMS1, PMS2, ...) or (PAM1, PAM2, ...) of the one or more communication messages MS1, MS2, ... AM1, AM2, AM3 within a second living space 2, 2', 2'', depending on the at least one parameter (PS1, PS2, ...) of the scene S1, ... S8 in the second living room 2, 2', 2''.

In one example, the determined parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' relate only or at least primarily to the (directly, without technical means) taking place communication K-a, K-b, K-c, K-a 'The people present in the vicinity of the user device AG1, AG1', AG1'' or within the one or more first living rooms 1, 1', 1'' among themselves. In this case, a first parameter (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a', 1'', in particular the speaking of at least one person, and a further parameter (PAI1, PAI2, ... .) an acoustic content A1-a, A1-b coming, for example, from outside (and possibly audible in the vicinity of the user device AG1, AG1', AG1'' or within the living space 1, 1', 1''). .

The first communication K-a, K-b, K-c, K-a', . , AG2'', second living spaces 2, 2', 2' or second persons 2', 2', 2'', in particular in terms of time, causality and/or content.

The media content MI1, MI2, ... (to which the at least one first person reacts) is media content that results from a (possible, normally not provided or only optionally provided) transmission of M12) auditory or visual content AI2, AI2' or VI2, VI2' to be output by the one or more second user devices AG2, AG2', AG2'', second living spaces 2, 2', 2' or second persons 2', 2', 2'', is independent.

Optionally, one or more of the second parameters of the reaction of the at least one second person P2, P2', P2'' (again in the vicinity of the second user device AG2, AG2', AG2'' or in the at least one second living space 2, 2 ', 2'') in a manner analogous to the first parameters (PRK-a, PRK-b, PRK-c, PRK-a') and (PRMI-a, PRMI-b, PRMI -c, ...) the Reaction of the at least one first person P1, P1', P1'' can be determined. The determination or adjustment of a parameter (PMS1, PMS2, ..., or PAM1, PAM2, PAM3, ...) of at least one communication message PMS1, PMS2, ... PAM1, PAM2, PAM3, ... can (e.g as described in this document or in a manner appropriate from time to time) depending on one or more parameters of the second reactions can be determined or adjusted.

In an example that can be combined with all other features, the one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' and/or parameters (PRK-a, PRK-b, PRK-c , PRK-a') or (PRMI-a, PRMI-b, PRMI-c, ...) the reaction of the at least one person depending on the at least one scene S1 ... S8 in the respective living space 1, 1' , 1'' or 2, 2', 2'', in particular evaluated by the one or more parameters (PS1, ..., PS8) of the scene S1 ... S8, which are evaluated before and/or during a (corresponding) Section K-a, K-b, K-c, K-a' of the communication and/or section MI-a, MI-b, MI-c, ... of the media content MI1, MI2, ... in the respective living space 1, 1', 1' 'or 2, 2', 2'' applied or was recognized. For example, for certain classes (PS1, ..., PS8) of the scenes S1 ... S8, ... different logics, formulas, coefficients, the mathematical relationship for determining or adjusting the one or more parameters (PMS1, PMS2, . .., or PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ..., or AM1, AM2, AM3.

In an example that can be combined with all other features, the one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' and/or parameters (PRK-a, PRK-b, PRK-c , PRK-a') or (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person depending on the at least one emotion and/or an intention of the person involved in the communication section or the section of the media content perceiving person, evaluated in particular by the one or more parameters (PE1, PE2, ...) of the emotion and / or parameters (PA1, PA2, ...) of the intention before and / or during a (corresponding) section K-a, K-b, K-c, K-a' of the communication and/or section MI-a, MIb, MI-c, ... of the media content MI1, MI2 in the respective living space 1, 1', 1'' or 2, 2', 2'' applied or was recognized. For example, qualitative and/or quantitative parameters (PE1, PE2, ...) or (PA1, PA2), in particular certain classes (PE1, PE2, ...) or (PA1, PA2) of the emotions or parameters can be recognized and be taken into account. For different parameter values or for certain classes (PE1, PE2, ...) of emotions or classes (PA1, PA2) of intentions, e.g. different logics, formulas, coefficients, the at least one mathematical relationship can be used to determine or adapt one or several parameters (PMS1, PMS2, ..., or PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ..., or AM1, AM2, AM3 are used.

• - eine Erwartung einer Kommunikation; und/oder
• - einen Kommunikationsbedarf; und/oder
• - einen bestimmten Informationsbedarf;

insbesondere in Bezug auf eine oder mehrere erste Personen (P1, P1', P1'') kennzeichnet.In a further example, at least one second parameter relating to one or more second persons (P2, P2', P2'')

• - an expectation of a communication; and or
• - a communication need; and or
• - a specific need for information;

in particular in relation to one or more first persons (P1, P1', P1'').

The expectation of a communication, and/or the at least one need for communication, and/or a specific need for information, can relate to one or more specific first persons. A corresponding parameter of the at least one second situation can, for example, be indicative of the expectation of communication and/or of the need for communication and/or of a need for information.

For example, a parameter of the at least one second situation (one or more second persons) can be characteristic of a (e.g. qualitative and/or quantitative, e.g. finely graded) measure of an expectation of communication and/or a need for communication and/or a need for information ( of one or more second persons).

For example, there may be a need for communication with one or more and/or first persons who meet certain criteria or are selected according to certain criteria. In exceptional cases, the need for communication can also exist or be recognized independently of one or more specific first persons. For example, a related second situation may be loneliness and/or boredom.

The communication need may include a need to receive a communication message and/or a need to initiate a communication message. This can be an objective and/or subjective (e.g. also emotional or psychological) need. The need for communication can in particular include or be a need for communication and/or a need for notification.

For example, the expectation of a communication by at least one communication partner, and/or a communication requirement or information requirement of at least one communication partner can be recognized by means of a user device of the communication partner and/or depending on the further parameters.

For example, a reaction of at least one first person and/or the communication partner to a communication message (of the communication partner or the person) can be evaluated and the one or more parameters of the communication message can then be determined or adjusted. For example, first user information (in particular a draft of a communication message, in particular the response to the information received by the user and/or perceived by the user) can be generated depending on the evaluated reaction of the user.

• - eine Erwartung einer Kommunikation, und/oder
• - einen Kommunikationsbedarf, und/oder
• - einen bestimmten Informationsbedarf,

insbesondere in Bezug auf eine oder mehrere zweite Personen kennzeichnet.Alternatively or additionally, at least one first parameter can relate to one or more first persons

• - an expectation of a communication, and/or
• - a communication need, and/or
• - a specific need for information,

in particular in relation to one or more second persons.

Such parameters can, for example, be determined and/or taken into account depending on the situation of the one or more respective persons.

In a further example, at least part of the communication message can first be generated as a draft for or for a communication message to a communication partner for the user and output to the user.

For example, the expectation of a communication by the at least one (potential) communication partner (e.g. at least one other, second person) and/or a need for communication or information of at least one other person can depend on a sensory detection of the person and/or on the data of the person, be determined. Particularly preferably, a parameter of a body language of a communication partner (e.g. one of several other persons) can be determined, in particular indicating attention and/or a question. This can be done with the user device of the communication partner. A conclusion can then be drawn about the expectation of communication by the at least one other person and/or a need for communication or information from at least one other person to the user. For example, a parameter of physical activity, facial expressions and/or gestures or a combination of such parameters that correspond to a specific pattern can be recognized.

For example, a pattern indicating a question, an increased level of attention, an accusation, a possible misunderstanding (e.g. an atypical reaction) or a lack of understanding (e.g. for the user's action) can be recognized.

In an analogous way, parameters of the same kind can also be set in the environment of the second user equipment AG2, AG2', AG2' or inside the one or more second living spaces 2, 2', 2'' in a corresponding way as the respective ones first parameters are determined. The second parameters can be taken into account in the method (alternatively or additionally).

In principle, all parameters (PK1, PK2, ... PK9), (PS1, PS2, ...), (PAI1, PAI2, ...), (PRMI-a, PRMI-b, PRMI-c, ...) compared with each other in any way, ie calculated, processed according to a predetermined rule, eg subjected to a learning process and/or pattern recognition. The one or more parameters of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3 . . . can be determined or adjusted depending on the result of the comparison or pattern recognition. In the process various pattern recognitions in relation to one or more parameter values (PK1, PK2, ... PK9), (PS1, PS2, ...), (PBL1, PBL2, ...), (PRMI-a, PRMI-b, PRMI-c, ...) corresponding combinations of values, corresponding time functions, etc. are executed. The information (for example an identifier) relating to at least one recognized or recognized pattern can also be processed as a parameter or a parameter value of a corresponding parameter. For example, a pattern of a combination of one or more parameters of acoustic sound waves, parameters (PBL1, PBL2, ...) of physical agitation, parameters (PS1, PS2, ...) of at least one scene S1, ... S8, parameters (PRMI -a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person (as such) recognized, stored, recognized again. Upon the recognition or recognition of such a pattern, various measures, which can also be combined, can be taken with regard to at least one communication message MS1, MS2, ... AM1, AM2, AM3 ..., e.g. to the generation or change of at least one sound source, a video output belonging to or linked to the communication message MS1, MS2, . . . AM1, AM2, AM3 .

In the method, various pattern recognition methods can be used with regard to various determined (first or second) parameters. The corresponding patterns can be distinguished, learned, recognized by certain qualitative, quantitative features, e.g. temporal features, typical sequences of parameter values, etc. For example, a parameter of the reaction of the at least one (first) person can be characteristic of a pattern, in particular a cognitive, psychological or emotional pattern of the reaction or of a behavior pattern or communication pattern. The result of the pattern recognition can be taken into account in the method. For example, it can be determined that in the surroundings of several first user devices AG1, AG1′, AG1″ or within the one or more first living spaces 1, 1′, 1″, a specific first pattern of one or more first parameters, in particular accumulated or according to a specific distribution function. Furthermore, a connection between certain sections of a first media content MI1, MI2 and an accumulation of one or more first parameters (PK1, PK2, ... PK9) or (PRK1-a, PRK1-b, PRK1-c, PRK1-a ', ... PRMI-a, PRMI-b, PRMI-c ...) are recognized and taken into account in the process. A communication message MS1, MS2, . . . AM1, AM2, AM3, that includes (at least cumulatively) or excludes (at least cumulatively) one or more of the corresponding sections of the first media content or one or more (according to predetermined criteria) sufficiently similar sections of a second media content. Furthermore, various other measures can also be defined, in particular assigned to one or more specific patterns by means of an operator action, which are initiated when the specific pattern, e.g. classes of patterns, is recognized or recognized again.

In an example that can be combined with other features, data is based on several temporal relationships and/or a relationship between the corresponding parameters of physical agitation, gestures, facial expressions, eye movement, microexpression, lip movement or the corresponding pattern on the one hand and a parameter of one taking place in approximately the same time interval verbal communication K-a, K-b, K-c, K-a 'on the other hand determined, optionally further processed, stored, and / or provided for a renewed execution of the method. The method can be executed again from one or more, preferably a large number of data items characterizing such (these) relationships. For example, in a (later) execution of the method, a communication message is sent in the same first living space 1 or in another first living space 1', 1'' depending on said data and depending on a then determined (valid) parameter (PBL1', PBL2 '), (PBL1'', PBL2'', ...) of the physical agitation, gesture, facial expression, eye movement, microexpression, lip movement or the corresponding pattern a time value, characteristic of the time after (at least with a certain degree of probability) thereupon a verbal communication K-a', K-b', K-c', Ka'' follows, determines and/or a parameter (PK1', PK2', ... PK9') of a (probably forthcoming) verbal communication K -a', K-b', K-c', Ka'' predicated.

A prediction of a time value according to which (with a certain degree of probability) a spoken communication K-a', K-b', K-c', Ka'', in particular a specific section or transaction of the communication K-a', K -b', K-c', Ka'' follows, and/or a prediction of a parameter (PK1'', PK2'', ... PK9'') of a (probably following) spoken communication K-a', K -b', K-c', K-a'' can be related to a specific (first or second) person or a specific group of people, eg the group of people to which a first person or a second person belongs. In a later execution of the method, the information that it is a specific person or the person son or a specific group of people or the group of people acts are recognized and taken into account. The corresponding said data can then be taken into account. As a result, a much better prediction of the parameter values (PK1'', PK2'', . . . PK9'') can be sought or achieved.

Furthermore, an effect or effectiveness of a section of a (possibly new) communication K-a, K-b, K-c, K-a' and/or a (possibly new) media content MI1, MI2 to be output and/or the at least one communication message MS1, MS2 , ... AM1, AM2, AM3, ... (e.g. depending on the said data) are determined, in particular predicted. The effect or effectiveness (a measure of the effect or effectiveness of a section) can relate to a specific second person or to the group of people to which the second person belongs (or was assigned). Different effects can be stimulated for certain (second) people or for certain groups of people. The (respective) measure of the effects can be quantitatively determinable or adaptable, and/or can be determined or adapted differently for at least two people or groups of people.

Alternatively or additionally, a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... such (in such a dependency from the data described in this document) can be determined or adjusted so that this stimulates or determines, in particular for a specific second person or for a second person belonging to a specific group of people, a specific effect corresponding in particular to a specific target value has a certain target value corresponding effectiveness. For example, a communication message MS1, MS2, ... AM1, AM2, AM3, ... can be generated for a specific second person or for a second person who belongs to a specific group of people, which refers to said second person will have an effect or effectiveness, e.g. a value range of a measure corresponding to a target value corresponds or will correspond to the effect or effectiveness. Therefore, by determining or adjusting the parameters of the at least one communication message, a (possibly almost arbitrarily fine) quantitative and/or dynamically dosed effect or effectiveness can be generated for a specific second person or for a person belonging to a specific group of people. For example, an effect or effectiveness of several sections of a program comprising one or more communication messages MS1, MS2, ... AM1, AM2, AM3, ... (in the environment of the second user device AG2, AG2', AG2'' or in the second living space) can be determined or adjusted quantitatively and/or dynamically.

For example, a said temporal connection and/or a connection between the parameters (PBL1, PBL2, ...) of a specific physical emotion of a person belonging to a specific group of people (here: a child between 2-4 years) and a subsequent communication sound ( PK1, PK2, ... PK9), (here: crying or screaming) determined. For example, a connection between a parameter of physical agitation (PB|1, PBL2), (here: two different patterns) and a parameter of a subsequent communication sound (PK1'', PK2'', ... PK9''), (here : crying or laughing). Said relationships can be determined and aggregated using a large number of versions of the method (for the same or for different people from a group of people, in one or more living spaces 1, 1′, 1″, 2, 2′, 2″). Then, when the method is executed again, if it is determined that the person belongs to a specific group of people (here: a child aged 2-4), when determining a physical agitation with a parameter (PBL1', PBL2', .. .) which is sufficiently similar to said physical stimulus (PBL1, PBL2, ...), e.g. if a sufficient match or similarity is determined, it can be assumed that after the determined physical stimulus (PBL1', PBL2', .. .) a certain communication sound (here: crying, screaming, laughing, etc.) will follow. It is also possible to draw conclusions about a time value or time interval at which or after which a (significant, loud, parental response) communication sound (PK1'', PK2'', . . . PK9'') will follow .

As an alternative or in addition to other features of the method, a further action to be taken. In this example, media content is output for the child (for example with foresight), which is used to calm the child or a measure (further predefined, appropriate for this case) is carried out. For example, one or one of several predefined melodies, sound sequences, or audio and/or video recordings can be output and/or one or several predefined stimuli can be output. On the determination of one or more such recognition patterns, in particular taking into account a determined parameter of a communication sound of the child, one is preferred Recording issued with a voice and/or image or video sequence of a parent or educator. The child can also be rocked or stroked, for example, by controlling an actuator.

Alternatively or additionally, the determination of said connection in relation to a person in one or more executions of the method in a living space 1 or in several living spaces 1, 1′, 1″ or 2, 2′, 2″ can also be used a corresponding piece of information, for example not previously sufficiently well known, about the group of people of the at least one (first or second) person can be determined. For example, an assignment or association of the person to a group of people takes place based on one of the said connections if these were determined or confirmed sufficiently often (with similar values, patterns). A determined group of people (assigned in the method) to a specific person in the living space can be further processed or stored and made available for a later execution of the method or made available in a later execution of the method or for other purposes.

For example, the value of the relationship between the first living space 1, 1′, 1″ and/or a person P1, P1′, P1″ and a second living space 2, 2', 2'' and/or a person P2, P2', P2'' located (or living) within the second living space 2, 2', 2'' and taken into account. Alternatively or additionally, the value of the relationship between the first living space 1, 1', 1'' and/or a person P1, P1', P1'' located (or living) in the first living space and a second living space 2, 2 ', 2'' and/or a person P2, P2', P2'' located within the second living space 2, 2', 2'' on the basis of (according to a specific criterion) matching information or test, e.g. within a Internet platform are determined.

Alternatively, preferably additionally, to determine the at least one parameter (PK1, PK2, ... PK9) of said communication K-a, K-b, K-c, K-a', at least one voice input SE1, SE2 is recognized in the voice control application SSA1, SSA2 and as such and/or at least one voice command SB1, SB2 for the voice control application SSA1, SSA2 is recorded and recognized as such and/or a question FR1, FR2 to the voice control application SSA1, SSA2 is recorded and recognized as such. It can then be assumed that a corresponding portion of the sound waves is not processed as part of the communication K-a, K-b, K-c, K-a'. The at least one voice input SE1, SE2, the at least one voice command SB1, SB2 or the at least one question FR1, FR2 (for a voice control application SSA1, SSA2 that is only optionally provided in the method) is explicitly used in the method from the communication K-a, K-b, K-c, K-a ' respectively from the sections K-a, K-b, K-c, K-a' of said communication. This principle can be applied to one or more first living quarters and/or one or more second living quarters.

For example, a voice input SE1, SE2 or a voice command SB1, SB2 can be distinguished from the at least one section of said communication K-a, K-b, K-c, K-a' depending on its respective direction parameter (PSE1, PSE2, PSB1, PSB2, PFR1, PFR2). . For example, a microphone system and/or a camera of the sensor device SV1, SV2 can be used to receive a voice input SE1, SE2 and/or a voice command SB1, SB2 and/or a question FR1, FR2 from a section of said communication K-a, K-b, K-c, K-a ' based on a difference in the respective direction parameters (PK1-a, PK1-b, PK1-c) and (PSE1, PSE2, PSB1, PSB2, PFR1, PRF2).

A signal processing procedure (e.g. voice recognition) of the at least one sensor device SV1, SV2 or the at least one voice control application SSA1, SSA2 can also be designed in such a way that the acoustic sound waves of a voice input SE1, SE2, a voice command SB1, SB2 or the question FR1, FR2 from the acoustic sound waves of said communication K-a, K-b, K-c, K-a' within the living space at least partially from one another, e.g. to filter, in particular to process in at least partially different processing channels, algorithms, signal paths, logics.

The at least one parameter of the reaction (PRMI-a, PRMI-b, PRMI-c, ...) can relate to a reaction of the at least one person to the media content MI1, MI2, ..., the reaction being at ( expressed within the context of the communication K-a', K-b', K-c', K-a'' in the vicinity of the first user device AG1, AG1', AG1' or within a (first) living space . In other words, said reaction can be a reaction that is expressed only or predominantly in the communication K-a', K-b', K-c', K-a'' or within the framework of the communication K-a', K-b', K-c', K-a'', for example as a change in a parameter (PK1, PK2, . . . PK9) of the communication. For example, as the Para meter of the reaction (PRMI-a, PRMI-b, PRMI-c, ...) of the at least one person to a section of the media content MI1, MI2, ... a parameter (PBL1, PBL2) of a corresponding physical impulse, a body language Expression, a (changed) body language, e.g. voice pitch, choice of words, speaking rate, are determined and taken into account, which (in a communication Ka, K-b ', K-c', K-a '', or detached from a communication) in the Connection with one or more sections of media content MI1, MI2, ... occurs. The reaction of the at least one person is to be read in particular as: Reactions of the one or more first persons. The corresponding first parameters can characterize reactions (in each case) of a number of first persons determined in a number of mutually independent (first) surroundings of a number of different first user devices or in a number of first living spaces.

The response can be a subjective response typical of humans. A parameter of response may characterize a subjective response, e.g., a response involving the person's ego, emotional life, subjective perception (with a parameter value expressed mathematically or objectified).

One or more parameters RRMI1, PRMI2, AG1, AG1′, AG1″, or AG2, AG2′, AG2″ are determined, in particular at least partially detected by sensors. For example, the one or more parameters (PRMI-a, PRMI-b, PRMI-c, ', AG2'' e.g. Smart-Watch or Smart-Close can be determined.

The at least one parameter (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person to the media content MI1, MI2, ... can also be a parameter (PE1, PE2, ...) characteristic of an emotion and/or intention (PA1, PA2, ...) of the person, the emotion or intention being an emotion or intention that is associated with the corresponding media content MI1, MI2, . .., in particular with one or more specific sections of the media content MI1, MI2, ... occurs or has changed. The at least one parameter (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person to the media content MI1, MI2, ... can also be a reaction of the person to the first described in this document be information i1.

The parameters of the reaction can refer to the parameters of the prevailing scene and/or another media content to be output, in particular they can be taken into account. For example, the at least one parameter of the reaction (PRMI-a, PRMI-b, PRMI-c, ...) of the person in connection with one or more specific sections of the media content MI1, MI2, ... or with one or more Sections of the K-a, K-b, K-c, K-a' of the communication are determined depending on a change in the emotion or intention of the person associated with the issuance of certain sections of the media content or the perception of the corresponding sections MI-a, MI-b , MI-c, ... of the media content MI1, MI2, ... or sections of the K-a, K-b, K-c, K-a' of the communication can be determined by the person.

The reaction of the at least one person to said media content MI1, MI2 can be distinguished from a person's reaction to another stimulus or to a (e.g. physical) emotion of a communication partner, another event, and in particular separately from a possible reaction of the Person to be considered another stimulus. In particular, the reaction of the at least one person to the at least one section of the media content MI2-b with said first information (e.g. comprising the first information or superimposed by the first information) can be based on the time interval in which the first information is output and the point in time the reaction can be recognized as such and/or determined as a corresponding parameter value.

The one or more parameters of the reaction (PRMI-a, PRMI-b, PRMI-c, ...) preferably relate to an at least partially or largely unconscious, involuntary reaction of the at least one person to the media content MI1, MI2, . ... Such a reaction can be, for example, an at least involuntary, ie not consciously produced or controlled body reaction, in particular a body language, for example as a change in voice pitch, gestures, facial expressions, a micro-expression, an eye movement. For example, a parameter of an at least partially or mostly unconscious, involuntary reaction of the at least one person to the media content MI1, MI2, . . . can be distinguished from another possible conscious reaction. The distinction can depend on a detection of a (specific) micro-expression typical pattern and / or a time interval Response compared to the time interval in which a section of the media content MI1, MI2 that triggered this was output.

The one or more parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person (in the vicinity of the first user device AG1, AG1', AG1'' or within a respective living space 1 , 1', 1'') to media content MI1, MI2, ... can refer to one or more specific sections of media content MI1, MI2, ..., e.g. to specific sections of an audio or video program, e.g. to specific ( also short) scenes of media content MI1, MI2, e.g. film, or a show, a sporting event. Said specific sections of the media content MI1, MI2 can be selected according to their respective effect or effectiveness, in particular according to their emotional or psychological effect, e.g. depending on a need, appeal, etc. that they encompass or cause. The parameter or parameters of the respective effect or effectiveness (PWMI-a, PWMI-b, PWMI-c, ...) of the specific sections of the media content MI1, MI2 can be determined and/or taken into account in the method. Accordingly, only parameters of specific reactions of the at least one (first) person that correspond (chronologically and/or causally) to specific sections of the media content MI1, MI2 can be determined or taken into account.

=> step with the recognition of an emotion and/or intention

In an optional step, an emotion and/or an intention of a person is recognized, in particular a person involved in the communication K-a, K-b, K-c, K-a' or the at least one person's reaction in connection with a section K-a, K-b , K-c, K-a' of the communication or a section MI-a, MI-b, MI-c, ... of the media content MI1, MI2, ... executed. One of the emotions (PE1, PE2, ...) and/or a parameter (PA1, PA2, ...) and/or a parameter that is characteristic of a change in an emotion (PE1, PE2, ...) and/or an intention (PA1, PA2, ...) of the person of a section of said communication K-a, K-b, K-c, K-a' and/or a section MI-a, MI-b, MI-c, ... of the media content MI1, M12. The at least one determined parameter of the emotion (PE1, PE2, ...) and/or a parameter (PA1, PA2, ...) of the intention to determine or adapt the one or more parameters (PAM1, PAM2, . ..) the communication message, e.g. a parameter (PAM1, PAM2, PAM3) of a media message AM1, AM2, AM3 and/or a parameter (PMS1, PMS2, ...) of a section of the audio signal MS1, MS2, ..., processed on the second user device AG2, AG2', AG2'' or within a second living space 2, 2', 2''.

For example, upon recognizing a certain class and/or intensity (PE1, PE2, ...) of an emotion or a parameter (PE1, PE2, ...) of the emotion that exceeds a measure and/or a certain class and/or intensity ( PA1, PA2, ...) of an intention or a parameter (PA1, PA2, ...) that exceeds a measure of the intention of at least one person (in the surroundings of the one or more user devices AG1, AG1', AG1'' or within of the one or more first living spaces 1, 1', 1'') (e.g. in a certain way) changed, e.g. stronger, adjustment of at least one parameter (PMS1, PMS2, ...) or (PAM1, PAM2 , 2, 2', 2'' are executed.

A qualitative parameter value (PE1, ...) of the emotion and/or a qualitative parameter value (PA1, ...) of the intention, e.g. a class (category) and/or one or more corresponding quantitative parameter values (PE1, .. .) or (PA2, ...), e.g. regarding a corresponding intensity. For example, one of a few (comparatively easily recognizable or distinguishable) classes of an emotion, e.g. one or more basic emotions or, for example, joy, anger, fear, sadness, love or one of a few (comparatively easily recognizable or distinguishable) classes an intention, for example: relatively unintentional, intention to take an active action, intention to withdraw, intention to ignore or hide something, intention to communicate, etc.

As a result, one or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... (intended for another, second person) can be determined or adjusted depending on how the one or more first persons respond to a or several specific sections of the communication K-a, K-b, K-c, K-a' (at least partially unknown to the second person) and/or one or more specific sections MI-a, MI-b, MI-c, ... of the media content MI1, MI2 has or have responded.

The emotion and/or intention can be recognized in particular by means of a camera, in particular a camera of the sensor device SV1, SV2, web camera or a TV camera. The emotion and/or intention can also be recognized or the parameter of the emotion and/or intention determined, for example using the user device AG1, AG1′, AG1″ or AG2, AG2′, AG2″, eg a mobile user device of the person , a smart watch, smart closes, etc. or a sensor networked with this. For example, the emotion recognition and/or intention recognition can be carried out by evaluating the time course of one or more parameters, for example a physical emotion, gesture, facial expression, eye movements, micro-expression, a physical parameter of the respective person. A recognized category of the emotion and/or intention is preferred in a specific temporal and/or causal connection, for example with the parameters (PK1, PK2, . . . PK9) of the communication Ka, Kb, Kc, Ka' that are valid in the same short time interval. or the media content MI1, MI2 determined.

=> Step with determining a measure of an effect or effectiveness and/or reaction.

In an optional step of the method, one or more, in particular foreseeable measures of an effect or effectiveness and/or reaction are determined for the at least one communication message MS1, MS2, ..., AM1, AM2, AM3, ..., in particular on a specific second user device AG2, AG2′, AG2″ or within a specific second living space 2, 2′, 2″. A measure of the effect or effectiveness and/or reaction (e.g. qualitatively and/or quantitatively) can be determined, in particular predicted, which at least one communication message MS1, MS2, ..., AM1, AM2, AM3, ..., in particular a specific section of this refers to a specific (second) person P2, P2', P2'' or a (second) person P2, P2', P2'' who belongs to a specific group of people. The extent of the effect or effectiveness can include, for example, which reaction, emotion, action, intention of the second person to the communication message MS1, MS2, ..., AM1, AM2, AM3, ..., towards (at least probably) is to be expected.

For example, a value range, limit range of a corresponding measure of an expected effect, effectiveness, reaction, emotion, action, intention of at least a second person P2, P2', P2'' or on the person P2, P2', P2'' can be predicted. This can be determined using the one or more personality models, e.g. depending on the operation of the personality model for the specific (second) person or for a (second) person who belongs to a specific group of people. A corresponding, subjective effect, effectiveness, reaction, emotion, action, intention of at least one (specific or belonging to a group of people) second person (who, in particular, with a specific second parameter (PS1, PS2, ...), e.g. characterizing a second context or scene that exists or is to be expected) determined, in particular predicted.

In one example, a measure of the effect or effectiveness and/or a reaction (emotion, action, intention) is predicted, which in the case of generating a communication message MS1, MS2, ..., AM1, AM2, AM3, ... with specific parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...), and/or with a specific variant (V1, V2, ... V10) of determining or adjusting the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) and/or is to be expected in the case of an almost unchanged output of a content IMS1, IMS2, ... IAM1, IAM2, IAM3, .... A measure of the or effectiveness of a section of the communication message can be determined in a manner analogous to the measure of (PWMI-a, PWMI-b, PWMI-c, . . . ) a media content MI1 or MI2.

Optionally, a measure of the effect or effectiveness and/or a reaction (emotion, action, intention) can be predicted in the case of a communication message MS1, MS2, ..., AM1, AM2, AM3, ... with a different variant (V1, V2, ... V10) of the determination or adjustment of the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) is to be expected. Then, in particular re-determining or adjusting the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ..., AM1, AM2, AM3, ... depending on the one or at least two of the determined measures of the effect or effectiveness of a reaction (emotion, action, intention), in particular by comparing the measures that are to be expected in two different cases or variants of the parameters. For example, one or more measures of effect or effectiveness can indicate that at least or at most a certain measure of effect or effectiveness and/or a reaction (emotion, action, intention) will occur at least with a certain probability and/or that an effect or effectiveness, or a reaction (emotion, action, intention) will occur with a certain degree, in particular at least with a certain probability. In other words, it can be predicted (e.g. during a family evening in the vicinity of the user device AG2, AG2', AG2'') whether, which persons, how likely or intensively, will laugh or cry about a section of the communication message MS1, MS2, .... AM1, AM2, AM3.

For example, the probable extent of the effect or effectiveness can be characteristic of how the (respective) subjective perception of the communication message MS1, MS2, .... AM1, AM2, AM3, ... on a specific person or on a specific group of people belonging to the person will be and/or whether this will be a (specific, appropriate, permissible, corresponding to a target value, desired or not desired) reaction, e.g. a reaction with a specific parameter (PRAS1, PRAS2, ...PRAM1, PRAM3, . ..) has suggested or will suggest. At least one further step of the method described in this document can be controlled (caused, changed, omitted) depending on the measure or measures. For example, the at least one mathematical relationship (e.g. for a specific user device, a specific living space, for a specific person or group of people) is determined or adjusted depending on the measure or measures, or at least one neural network DNN1, DNN2, DNNZ is trained and /or operated.

Such a measure can preferably relate to a reaction (also emotion, action, intention) to a near future or to an (at least partially) imminent time interval. One or more measures of the effect or effectiveness, e.g. for different time intervals or different sections of one or more audio signals MS1, MS2 to be output and/or different messages AM1, AM2, AM3, can be determined, estimated or assumed. These can be taken into account in the same or a later execution of the method.

The at least one parameter of the effect or effectiveness and/or reaction can be used (e.g. determined, read in, processed) for training and/or operating the at least one neural network DNN1, DNN2, DNNZ. For example (for each variant of the method) a measure of effectiveness and/or response can be used as a target for training and/or as a target for operating. For example, feedback information F1, F1', F1'' or F2, F2', F2'' is dependent on the (respectively achieved) effect, expressed in particular as a difference (e.g. a difference, factor, function) of the effect and/or determined or used in response to a target value.

The at least one neural network DNN1, DNN2, DNNZ is preferably trained and/or operated in order to select an appropriate (measure) variant (V1, V2, ... V10) of determining or adjusting one or more parameters (PAM1, PAM2, ...) the auditory message AM1, AM2, AM3 and/or one or more parameters (PMS1, PMS2, ...) of the audio signal MS1, MS2 from at least two, preferably fundamentally different variants (V1, V2, ... V10 ) hold true. The at least two variants (V1, V2, . . . V10) differ at least by the different consideration of said parameters (PK1, PK2, . ...) of the auditory message AM1, AM2, AM3 and/or parameters (PMS1, PMS2, ...) of the audio signal MS1, MS2.

In this example, different types of parameters (PAM1, PAM2, . ..) or (PMS1, PMS2, ...) and/or different rules, logics or formulas of said mathematical relationship for determining or adjusting the parameters of the auditory message AM1, AM2, AM3 and/or the audio signal MS1, MS2 chosen. Also, one or more variants (V1, V2, ... V10) depending on the degree of their respective applicability (e.g. for the determined parameter (PS1, PS2, ...) of the scene S1, ... S8 or situation, context in the respective living space 2, 2', 2'', 1, 1', 1').

In a further example, the measure of the effect or effectiveness is determined, in particular predicted, which in the case of generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... at a specific time interval, e.g. simultaneously, second communication K-a, K-b, K-c, K-a' taking place or imminent within a certain time interval and/or with a second parameter (S1, .... S8) of a (second) scene (in the vicinity of a second user device AG2, AG2', AG2'' or within the second living space 2, 2', 2''). For example, one or more measures and/or corresponding probability measures, e.g. as value ranges, can be predicted.

The determination or adjustment of a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can be dependent on one or more predicted measures of the effect or effectiveness of the effect or effectiveness determined or be adjusted so that a target value for a predicted measure of the effect or effectiveness of the effect or effectiveness is sought or achieved. The determination or adjustment of a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can be dependent on one or more measures of the effect or effectiveness of the effect or effectiveness determined for a time interval are determined or adjusted so that a target value for a measure of the effect or effectiveness of the effect or effectiveness is sought or achieved in the same or a later (e.g. subsequent) time interval. is reached. For example, in the case of a measure of the effect or effectiveness predicted beyond a target value, a new or different determination or adjustment of the parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, . .. AM1, AM2, AM3, ... are executed.

=> Step with determining a priority measure

In an optional step, a priority measure of a specific communication message MS1, MS2, ... AM1, AM2, AM3, ..., in particular one or more sections of the communication message MS1, MS2, ... AM1, AM2, AM3, ... , and/or for two communication messages MS1, MS2, ... AM1, AM2, AM3, ... to be output as alternatives to one another. The at least one priority measure can be determined depending on the importance and/or urgency of the respective sections of the communication message MS1, MS2, . . . AM1, AM2, AM3, . The priority measure can relate to a specific second living space 2, 2', 2'' or a specific person or person belonging to a group of people in the living space 2, 2', 2''.

In this example, the priority measure is determined in two dimensions, in particular with at least two indicators that are more or less independent of one another. A first priority indicator of at least one section of the audio signal MS1, MS2 to be output, which roughly characterizes its “importance” or a current “relevance” and/or a second indicator roughly representing an “urgency” or “to be transmitted until ... '' marks, determined. In this case, the second priority indicator can identify an absolute or relative time value, e.g. as a "deadline time" or a time interval or an expected event, up to which the corresponding section of the communication message MS1, MS2, ... AM1, AM2, AM3, . .., issued to or for a (any, specific or presumably, potentially present) person in the respective living space, or should be heard or interpreted (understood) by them. In this example, two to four gradations are provided for the (both) respective priority indicators.

In the method, priority levels of a section of the communication K2-a, K2-b, K2-c, K2-a′ and/or another audio signal to be output (already being output or planned for output), in particular a media signal with a priority level be provided. For example, at least two of the priority measures (for a section of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., the communication K2-a, K2-b, K2-c, K2-a', and/ or the other multimedia signal to be output) compatible, normalized to one another and determined or taken into account. The at least two priority measures can (thereby) be compared with one another to achieve an appropriate result, with at least one determination or adjustment of the parameters of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... and /or a further audio signal to be output or a further acoustic content in the respective living space 2, 2', 2'' can be determined or adjusted.

The priority measure or measures determined can be taken into account when generating the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . For example, a subset of several (generable) communication messages MS1, MS2, . . . AM1, AM2, AM3, . . . can be selected and/or changed. Alternatively or additionally, any further content Al-a, Al-b, Al-c, Al-d, e.g. an operating noise in a living area, can be adapted. For example, depending on a comparison of the at least two priority measures, a specific variant (V1, . . . V10) of the adjustment or determination of the parameters can be selected.

=> Step with reading in or determining the optimization criteria to be applied

In an optional step, one or more predetermined or determined optimization criteria (OK1, OK2, OK3, ...), which, for example, one or more desired goals of the at least partially virtual communication K12, ... K21, ..., or the Creating or customizing the at least one communication bot identified (ie read in in a simplified case), checked, adjusted and taken into account in the process.

• - Arrangieren zumindest einer Kommunikation (KB12, ... KB21, ...) zwischen einer oder mehreren ersten Personen (P1, P1', P1'') und einer oder mehreren zweiten Personen (P2, P2', P2''); und/oder
• - Unterstützen der einer oder mehreren ersten Personen (P1, P1', P1'') beim Erzeugen einer Kommunikationsbotschaft (KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1'2', KB1''2') an eine oder mehrere zweite Personen (P2, P2', P2''); und/oder
• - Erzeugen einer Unterstützungsinformation (UI21, UI2'1, UI2''1, ..., UI21', UI21'', ... UI2'1', UI2''1''); und/oder Erzeugen eines Feedbacks (FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'') an die eine oder mehrere erste Personen (P1, P1', P1''); und/oder
• - Unterstützen virtueller (z.B. mittels eines oder mehrerer Avatare AV1, AV1', AV1'' bzw. AV2, AV2', AV2'' ausführbaren) Begegnungen, Handlungen und/oder Interaktionen in einem virtuellen Raum VR.

The one or more optimization criteria (OK1, OK2, OK3, ...) relate in particular to supporting at least partially virtual communication (KB12, ... KB21, ...), in particular to one or more aspects of:

• - arranging at least one communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2''); and or
• - Assisting the one or more first persons (P1, P1', P1'') in generating a communication message (KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1 '2', KB1''2') to one or more second persons (P2, P2', P2''); and or
• - generating support information (UI21, UI2'1, UI2''1, ..., UI21', UI21'', ... UI2'1', UI2''1''); and/or generating feedback (FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'') to the one or more first people (P1, P1', P1''); and or
• Supporting virtual encounters, actions and/or interactions in a virtual space VR (which can be carried out, for example, by means of one or more avatars AV1, AV1′, AV1″ or AV2, AV2′, AV2″).

At least two different optimization criteria (e.g. related to different goals) (OC1, OC2, OC3, ...) can be taken into account in the method.

For example, at least one optimization criterion (OK1, OK2, OK3, ...) can be used (e.g. determined, read in, processed) for training and/or operating the at least one neural network DNN1, DNN2, DNNZ. For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated according to predetermined optimization criteria (OK1, OK2, OK3, . . . ). The optimization criterion can be selectable or adjustable in each case. Different optimization criteria (OC1, OC2, OC3, .

The optimization criterion (OK1, OK2, OK3, . . . ) can be chosen differently for different user devices AG2, AG2', AG2'', people P2, P2', P2'' or second living spaces 2, 2', 2'' become. The optimization criteria (OK1, OK2, OK3, ...) can also be determined, newly selected or be adjusted. Different optimization criteria (top1, top2, top3, . . . ) can also be selected for different room areas RB1, . At least one optimization criterion (OC1, OC2, OC3, ...) can be determined or accepted as a function of a probability calculation (e.g. for the occurrence of an event, the presence of a person, etc.).

The optimization criteria (OK1, OK2, OK3, . . . ) can at least partially correspond to different priorities and/or different objectives. For example, the at least one optimization criterion (OK1, OK2, OK3, ...) relates to a specific second living space 2, to a specific number of second living spaces 2, 2', 2'', and/or to a specific result or result of the procedure differs from other living spaces, people or groups of people. Depending on at least one optimization criterion (OK1, OK2, OK3, ...), specific or for certain living spaces, people, groups of people, etc. specific (different from other living spaces, people, groups of people, etc.), appropriately chosen combination of parameters described in this document can be determined or taken into account from the one or more first living spaces 1, 1', 1''.

Also, depending on at least one optimization criterion (OK1, OK2, OK3, ...), a respectively appropriately selected or for certain living spaces, people, groups of people, etc. specific parameter of a certain type or a combination of parameters of a certain type in one or several second living spaces 2, 2', 2'' are determined or adapted. Depending on the at least one optimization criterion (OK1, OK2, OK3, . . . ), a especially in a certain context and/or in a specific time interval to be applied, mathematical relationship can be determined or adjusted.

The combination and possibly a different weighting of the parameters to be taken into account (PK1, PK2, ... PK9), (PS1, PS2, ...), (PBL1, PBL2, ...) or the parameters of different types in each case and/or the parameter to be determined or adjusted (or the parameter of different types) can be based on corresponding scientifically based laws or observations, wishes or settings of the users, and/or preferably based on one or more executions of the method in the past, for example on the basis of aggregated data (compare the examples from step 10).

Data based on the parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' within a plurality of first living spaces 1, 1', 1'' and/or one or more parameters (PRMI-a, PRMI-b, PRMI-c ...) the reaction of (each) at least one person to media content MI1, MI2, ... within a plurality of first living spaces 1, 1', 1'' can be subjected to a comparison. These can be adjusted according to one or more predetermined conditions. Such a comparison of the data can take place by means of the at least one (predetermined) mathematical dependency. For example, several data or data records from several first living rooms 1, 1', 1'' are compared with each other and/or with conditions, in particular patterns, which refer to historical data, e.g. from the same, similar and/or related parameters (e.g. to the same Types of parameters related parameters, e.g. (PK1, PK2, ... PK9, ...) respectively. For example, a dependency of the data on the basis of the parameters from a plurality of first living spaces 1, 1', 1'' can be determined and taken into account. For example, a measure of similarity, correlation (e.g., in relation to a time course), and/or one or more cumulative measures (e.g., in relation to a number, group of living spaces, people, groups of people, etc.) can be determined and taken into account.

In an example of the method, a measure of the similarity, correlation, and/or a statistical relationship between the data based on the one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' within determined by several first living spaces 1, 1 ', 1' 'among each other and taken into account in the process.

In an example of the method, a measure of the similarity, correlation, and/or a statistical connection between the data based on the one or more parameters (PRMI-a, PRMI-b, PRMI-c ...) of the reaction of at least one person to a media content MI1, MI2, ... within a plurality of first living spaces 1, 1', 1'' are determined among one another and taken into account in the process. In one example, a measure of similarity, correlation, and/or a statistical relationship between the data based on one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a within a plurality of first Living spaces 1, 1', 1'' on the one hand, and the data based on one or more parameters (PRMI-a, PRMI-b, PRMI-c ...) of the reaction of at least one person to media content MI1, MI2,. .. within several first living spaces 1, 1', 1'' on the other hand, determined and taken into account in the process.

The determination or adjustment of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ..., which is generated in one or more second living spaces 2, 2', 2'' can (also) depend on the ascertained Measure of similarity, correlation, and/or from a cumulative (such as statistical) relationship. Two or more groups of the first living spaces 1, 1', 1'' can preferably be identified with dimensions that differ from one another, e.g. with parameter value ranges, patterns or trends. The different groups of the first living spaces 2, 2', 2'' can be treated differently in the process. The data from the different groups of the first living spaces 1, 1', 1'' can be taken into account differently in the method.

For example, in these groups of the second living spaces 2, 2', 2'', a different determination or adaptation of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g. with regard to the intensity, the logic and/or the applicable variant (V1, V2, ... V10) of determining or adjusting one or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... be applied.

An optimization criterion (OC1, OC2, OC3, ...) can be the generation of specific effects, e.g. as many or as intensive as possible, of a specific type.

For example, the one or more parameters of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... are determined or adjusted in such a way that a specific emotional and/or psychological effect, eg an effect of a specific type and /or intensity, in particular for a specific (second) person or for a (second) person belonging to a specific group of people.

For example, the generation of the at least one communication message can be optimized for a target or target value of the effect on a (perceiving, second) person P2, P2', P2''. Such an effect can, for example, relate to an increased or frequent triggering of certain physical impulses, in particular certain micro-expressions of the (second) person. For example, the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . For example, one or more of the second parameters MS1, MS2, ... AM1, AM2, AM3, ... of the communication message can be determined or adjusted in such a way that a certain first state, emotion, intention, reaction of one or more first persons P1, P1', P1'' or a first effect on a first person P1, P1', P1'', e.g. with a parameter that is similar or changed in a certain way, in the case of at least one second person P2, P2, P2' ' is effected.

(8) => step with determining or adjusting the one or more parameters of the communication message or action, interaction intended or carried out with the communication message.

The at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated depending, in particular, on the basis of the determined or predicted parameters (PK1, PK2, ... PK9) of the one or more said (first) communications K-a, K-b , K-c, K-a', in particular taking into account one or more parameters (PS1, PS2, ...) one in the vicinity of the respective user device AG1, AG1', AG1'' or within the respective first living space 1, 1', 1'' captured scene S1, ... S8 or context and/or a physical emotion (PBL1, PBL2, ...) or a recognized parameter of body language (PBL1', PBL2', ...) at least one person present, in particular involved in the communication K-a, K-b, K-c, K-a', who is to generate at least one communication message MS1, MS2, ... AM1, AM2, AM3 .... A determination or adjustment of one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3 .... depending on the neural Network DNN1, DNN2, DNNZ, in particular depending on an output layer of the neural network DNN1, DNN2, DNNZ are influenced or (directly or indirectly) controlled.

The determination or adjustment of one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3, ... is preferred, in particular continuously or executed cyclically. The (second) parameters can be determined or adjusted, which are made perceptible for the properties of the communication message, e.g. its emotional, psychological, cognitive effect, but not whether or when the communication message MS1, MS2, ... AM1, AM2, AM3 will, are characteristic. That is, the one or more of the second parameters do not necessarily have to influence the fact or the decision as to whether or when the communication message is generated or takes place. In this context, parameters can be determined or adjusted which each belong to at least one of two or more different types (PMS1, PMS2, . . . PAM1, PAM2, PAM3, . . . ) of the parameters. All of the parameters described in this document from the surroundings of the one or more first user devices AG1, AG1', AG1'' or from the one or more first living spaces 1, 1', 1'' (in any combination) can also be used as a control variable for determining or adjusting the one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3 ... on the at least one second user device AG2, AG2', AG2'' or in a second living room 2, 2', 2''.

Particularly preferred are the qualitative and/or quantitative values of one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3... , In particular dynamic or still in the action, interaction with the second person P2, P2 ', P2' 'or in the course of generating the communication message determined or adjusted.

In particular, the one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3 ... is characteristic (at least partially determinative or influencing) a (in particular current valid in the environment of the second user device) goal, functionality, and/or a solution, in particular to achieve a goal. For example, a parameter of the goal of the communication message or a communication can have one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' to or with the (second) person, rhetorical means and/or or concrete communication message can be determined or adjusted. Depending on the specific or adapted method, a selection and parameters of one or more rhetorical techniques for generating the communication message can be made.

As a result, a parameter (PAM1, PAM2, ...) depends on the (to be generated) communication message MS1, MS2, ... AM1, AM2, AM3, ... and the corresponding (acoustic, visual) perceptions or an effect of or to the at least one second person of one or more first parameters (PK1, PK2, ... PK9) of the communications K-a, K-b, K-c, K-a' and/or the parameters (PRK-a, PRK-b, PRK-c , PRK-a') or (PRMI-a, PRMI-b, PRMI-c) of multiple reactions (in the vicinity of the one or more first user devices AG1, AG1', AG1'' or within the one or more first living spaces 1, 1', 1'') off.

The first parameters can be current, in the recent past or from a comparatively distant past in the surroundings of the one or more first user devices AG1, AG2, AG1' or within the one or more first living rooms 1, 1', 1 '', in particular in connection with a context comparable to the current context in the second living space 2, 2', 2'', were recorded or determined. The communication message MS1, MS2, ... AM1, AM2, AM3, ... and/or content to be output with the communication message MS1, MS2, ... AM1, AM2, AM3, ... (e.g. information, information content, a factual aspect of a message) IAS1, IAS2, ... IAM1, IAM2, IAM3 is not directly related to the content of the one or more communications K-a, K-b, K-c, K-a' or to the (reaction-triggering) section MI- a, MI-b, MI-c of the multimedia content MI1, MI2, ... or does not have to be related to it. For example, the permissible degree of similarity of one or more sections or the communication message MS1, MS2, ... AM1, AM2, AM3, ... overall with one or more sections of the communication K-a, K-b, K-c, K-a' or with the ( the reaction-triggering) portion MI-a, MI-b, MI-c of the multimedia content MI1, MI2, ... be limited.

For example, a communication message MS1, MS2, . . . AM1, AM2, AM3, . or comprising one or more spoken messages generated as a function of the determined parameters. This can also be generated in relation to or triggered by a second content or event in or in the vicinity of the respective second user device AG2, AG2', AG2'' or in the respective second living space 2, 2', 2''. One or more, in particular all, of said second content AI2, AI2' or VI2, VI2' in the surroundings of the first user devices AG1, AG1', AG1'' or within the one or more first living spaces 1, 1 ', 1'' or the respective first persons P1, P1', P1'' may be unknown, irrelevant or incorrect for them.

For example, one or more of the first parameters (PK1, PK2, ... PK9) or (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) which are or were valid in the surroundings of the one or more first user devices AG1, AG1′, AG1′ or within the one or more first living spaces 1, 1′, 1″ based on the first Content (sections of the communication or the media content) is or has been determined that is present on the at least one second user device AG2, AG2', AG2' or within the at least one second living area 2, 2', 2'' or are unknown to the respective second persons P2, P2', P2'', are not yet known, do not have to be known, or are irrelevant or inapplicable to them.

For example, an auditory message AM1, AM2, AM3 as part of a communication message to be generated MS1, MS2, ... AM1, AM2, AM3, ... one or more spoken messages, in particular generated spoken messages relating to a second content or event, e.g. information that is primarily applicable or relevant only in the environment of the second user device, for example about a specific event relevant to a second person, a comment or questions to at least one (already communicating or not communicating) second person in the environment of the respective person second user device AG2, AG2', AG2'' or within the respective second living space 2, 2', 2''. The second content AI2, VI2 in the vicinity of the one or more first user devices AG1, AG1', AG1'' or in the one or more first living rooms 1, 1', 1'' may be unknown or irrelevant or inapplicable to them be.

In particular, the method does not require any transmission or exchange of the content to be output or known or prevailing in the surroundings of the user devices AG1, AG1', AG1'', or within the living rooms 1, 1', 1' (e.g. on the one hand IA1, IA1 ', on the other hand IA2, AI2'). This is advantageous. In this way, for example, information overload or an unintended exchange of information between the user devices, living spaces or people can be avoided or reduced to a (low, desired) level. Nevertheless, the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ..., in particular for a (present or accepted) specific second person or a second person who belongs to a specific group of people, a (im Process determinable or adaptable, in particular corresponding to a target value), emotional, psychological or dramaturgical effect, a stimulation of certain emotions, intentions or actions.

Preferably, the at least one generated communication message MS1, MS2, ... AM1, AM2, AM3, ... a (own, according to predetermined conditions generated, verbally expressed, improvised), assertion, opinion, suggestion, recommendation, a comment or a Include or be an answer to a topic associated in the specific second living space 2, 2′, 2″ or with the second living space 2, 2′, 2″ or person.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated with the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... a response to a specific or not to the user device AG2, AG2', AG2'' include the corresponding device, e.g. the voice control application SSA1, SSA2 asked, so to speak "standing in space" question. Such a question, in particular a parameter (content, choice of words, style, communication behavior, ...) of such a question, can be determined in the procedure on the basis of one or more current and/or past parameters (PK-a, PK-b, PK-c, PKa') of the communications K-a, K-b, K-c, K-a' and/or parameters (PRK-a, PRK-b, PRK-c, PRK-a', ...) or (PRMI-a, PRMI-b, PRMI-c, ...) of the reactions of the at least one person in the respective second living space 2, 2', 2'' are determined. Such a communication message AM1, AM2, AM3 is in particular not an immediate answer to a question that would be addressed to the voice control application SSA1, SSA2, such as a conceivable question.

At least one parameter of the communication message MS1, MS2, , 2′, 2″ in which it is generated and/or generated dependently, in particular on the basis of a large number of the first parameters from the one or more first living spaces 1, 1′, 1″. For example, the generation, in particular at least one time parameter, for the output of one or more communication messages AM1, AM2, AM3, ... in an auditory form in an environment of a specific second user device AG2, AG2', AG2'' or a specific second living space 2 , 2′, 2″ may be dependent on another parameter on or in the vicinity of the user device AG2, AG2′, AG2″ or in the living space 2, 2′, 2″. For example, this can be initiated, e.g. by a specific event, context, situation or a section of the communication K-a, K-b, K-c, K-a' or a reaction of the at least one person in this living space 2, 2', 2''. Rather, further parameters or types of parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... can be calculated on the basis of the parameters from a large number of the environments of the first user devices AG1, AG1', AG1'' or of the first living spaces 1, 1', 1'' can be determined or adjusted.

For example, at least one auditory message AM1, AM2, AM3 can be used to respond to a topic from a (second) communication K-a, K-b, K-c, K-a', in particular without an explicit prompt, such as an operator input or question, "unasked" so to speak. , reacts e.g. the topic is taken up or further developed, and/or one or more parameters of the auditory message depending on a recognized topic of a first communication according to one or more predetermined conditions, e.g. verifiable by means of the user device, determined or adjusted .. For example the topic or information associated with the question may be further processed in a certain logical direction, thematic direction, direction of thought, e.g. further developed or, so to speak, further thought into an answer, comment, another question or counter-question. A corresponding logic (e.g. mapped in the corresponding mathematical context), in particular an association rule, can be based on a large number of (first and/or second) communications or reactions of the at least one first person in the one or more first living rooms 1, 1 ', 1'' are determined and taken into account.

For example, voice messages AM1, AM2, AM3 can be generated, which include: "By the way, too... IAM1, IAM2, IAM3,...", "By the way,... I also know a recipe for a cake for your celebration,...", "I have and/or think that IAM1, IAM2, IAM3...", "I also have an idea what you could give your grandmother..." and the like. The contents of the spoken messages IAM1, IAM2, IAM3 of the auditory message AM1, AM2, AM3 can have a specific, predetermined relationship to the features of at least one said second communication Ka, Kb, Kc, Ka' and/or one or more said first communications Ka , Kb, Kc, Ka'. A certain relation of the parameters (PAM1, PAM2, ...) of the at least one auditory message AM1, AM2, AM3 to the parameters of the communication Ka, Kb, Kc, Ka' between other people in one or more first living rooms 1 , 1', 1'' and/or the persons in the second living space 2, 2', 2'' took place a relatively short time ago (the last seconds or minutes) and/or took place in the past (past days). , are provided.

The one or more communication messages MS1, MS2, ... AM1, AM2, AM3 can from a perspective or on behalf of a (acting independently) virtual personality, in this example with its own "I state", about another, from different parties (e.g. one’s own perspective or “communication party”) are generated for the communicating persons. In this sense, the system according to the invention cannot be viewed or only as an assistant or, for example, a “virtual slave” for the people. The system or the at least one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' also (own or appearing as the avatar) find an opinion and, if necessary, an opinion (an represent a specific opinion, an opinion on their own behalf, etc.). An interactive and playful value can be created or increased or certain features of an at least partially virtual relationship (with the people in the second living space 2, 2', 2''), e.g. by means of a corresponding mathematical relationship or by setting up the method or the system) can be imitated or reproduced.

Alternatively or additionally, a specific operator action or a triggering criterion can be provided for this purpose, an auditory message AM1, AM2, AM3 comprising a generated opinion, a proposed solution, a recommendation, an at least partially dependent on predetermined criteria and/or at least partially random association with a specific Retrieve topic, question, event (explicit). For example, the voice control application SSA1, SSA2 or one or more avatars AV1, AV1′, AV1″ can be explicitly asked for their opinion or for a proposed solution on a specific topic, a question, an event. For example, depending on one or more communications K-a, K-b, K-c, K-a' and/or reactions of the at least one person, an auditory message AM1, AM2, AM3 can be generated which (e.g. a specific, current situation) between at least two communicating ( second) mediated persons. A corresponding (e.g. mapped in the corresponding mathematical context) rule, logic, formula, in particular an association rule, can be based on a large number of the (first or second) sections of the communications or (first or second) reactions of the at least one person in be determined and taken into account in the one or more first living spaces 1, 1', 1''.

In a further example, one or more parameters of an auditory message AM1, AM2, AM3 are also determined or adjusted, the at least one response RESP to at least one voice input SE1, SE2 and/or a voice command SB1, SB2 and/or a question FR1 , FR2 of at least one person (e.g. to the voice control application device for voice input SSA1, SSA2). The at least one response RESP can be generated as a function of at least one parameter (PK1, PK2, ... PK9) of said communication K-a, K-b, K-c, K-a', ... or of at least one parameter (PRK- a, PRK-b, PRK-c, PRK-a', ...) or (PRMI-a, PRMI-b, PRMI-c, ...) of the reactions of at least one person, one or more parameters ( PE1, PE2, ...) of the emotion, one or more parameters (PA1, PA1, ...) of an intention, and/or depending on at least one parameter (PS1, PS2, ...) of the scene S1, .. S8 or context in at least one or more first living spaces 1, 1', 1''. In other words, a response RESP to at least one voice input SE1, SE2 and/or a voice command SB1, SB2 and/or a question FR1, FR2 from at least one person can depend on a large number of communications K-a, K-b, K-c, K-a', ... of the other persons or of one or more parameters (PRK-a, PRK-b, PRK-c, PRK-a', ...) or (PRMI-a, PRMI-b, PRMI-c, ...) of the reactions of the at least one other person can be determined or adjusted.

One or more parameters or types of parameters of the response RESP can be defined in a manner analogous to the definitions of the parameters (PAM1, PAM2, . . . ) of the communication message AM1, AM2, AM3 described in this document. It can (in a particularly efficient way) a response RESP corresponding to the context or the probable expectation of the at least one person in the respective second living space 2, 2', 2'' is generated. The at least one voice input SE1, SE2 and/or the at least one voice command SB1, SB2 and/or at least one question FR1, FR2 in, for or to the voice control application SSA1, SSA2 can in particular come from a communication Ka, Kb, Kc, Ka' actively or passively involved, or an uninvolved person, and/or from a (second) communication Ka, Kb, Kc, Ka' in the second living space 2, 2', 2'' not as "speaker" or "listener" marked room area RB1, ... RB6 come.

Determining or adjusting one or more parameters, in particular parameters of certain types (PMS1, PMS2, ...), (PAM1, PAM2, ...) can be based on predetermined logic, parameters, previous values, empirical values, machine learning methods, etc. take place. Here at least one of (principally different) variants (V1, V2, ... V10) of determining or adjusting the parameters (PAM1, PAM2, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3 and/or the parameters (PSAS1, PAS2, ...) of the further media content MS1, MS2 to be output are selected and applied. A corresponding determination, control or influencing of the second parameters can be carried out in conjunction with the generation, intermediate storage, signal processing, output of corresponding signal data, sound waves, perceptible images, etc.

The (second) parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the second user device AG2, AG2', AG2'' or within the second living area 2, 2', 2 '' to be generated at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... described by way of example. A distinction is made between a communication message or sections of a communication message that are to be generated on the basis of specific output data, (auditory or visual) content AI2, AI2', or VI2, VI2' or data of a (largely predetermined media content. Determining or adapting one or more parameters can be executed differently for a section of the communication message that is at least predominantly based on a media signal MS1, MS2, ... to be output or on the corresponding output data than for a section of the communication message that is at least predominantly one with the Speech generation generated voice message, includes or based on the corresponding data.Therefore, a distinction is made below between the parameters "PAS..." and "PAM...", e.g. depending on whether the communication message is mainly based on (largely finished, read out) media or is generated by means of speech generation, image or video generation, simulation, etc.

• (PAM1) bzw. (PMS1), kennzeichnend einen oder mehrere akustische Parameter der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ..., z.B. zumindest eines Abschnitts des Audiosignals MS1, MS2 bzw. der zumindest einen auditiven Meldung AM1, AM2, AM3. Diese kann insbesondere kennzeichnend sein eine Amplitude, Lautstärke, sogenannte Lautheit, Frequenzbereich, Phase des entsprechenden ausgegebenen Audiosignals. Alternativ oder zusätzlich bestimmt PAM1 bzw. PAS1 die akustischen Parameter der entsprechenden, auf Basis des Audiosignals AS1, AS2 bzw. der auditiven Meldung AM1, AM2, AM3 erzeugten Schallwellen, eines oder mehrerer bestimmten (zu erzeugende) Schallwellenmuster bzw. Schallwellenfronten, insbesondere in einem bestimmten Raumbereich RB1, ... RB6. Der zumindest ein Parameter bzw. Parameterwert PAM1 bzw. PAS1, kann auf zumindest einen oder mehrere Raumbereiche RB1, ... RB6 oder Richtungen bezogen werden.

The determination or adjustment of one or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... relates simultaneously or selectively to one or more following parameter values, which correspond to the following (in principle) different types of parameters (PMS1, PMS2 , PMS3, PMS4, PMS5, PMS6, PMS7, PMS8, PMS9, PMS10, PMS11, PMS12) or (PAM1, PAM2, PAM3, PAM4, PAM5, PAM6, PAM7, PAM8, PAM9, PAM10, PAM11, PAM12). . The different types of parameters indicate:

• (PAM1) or (PMS1), characterizing one or more acoustic parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., eg at least one section of the audio signal MS1, MS2 or the at least one auditory message AM1, AM2, AM3. This can in particular be characteristic of an amplitude, volume, so-called loudness, frequency range, phase of the corresponding output audio signal. Alternatively or additionally, PAM1 or PAS1 determines the acoustic parameters of the corresponding sound waves generated on the basis of the audio signal AS1, AS2 or the auditory message AM1, AM2, AM3, one or more specific sound wave patterns or sound wave fronts (to be generated), in particular in one specific space RB1, ... RB6. The at least one parameter or parameter value PAM1 or PAS1 can be related to at least one or more spatial areas RB1, . . . RB6 or directions.

In an analogous manner, an image parameter or parameter of a video signal of one of the communication messages MS1, MS2, ... AM1, AM2, AM3, ... comprising an image or video can be determined or adjusted;
(PAM2) or (PMS2), one or more time parameters for outputting at least a portion of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., in particular an audio signal MS1, MS2, the at least one auditory message AM1 , AM2, AM3, and/or image or video information of the communication message, The time parameter is in particular characteristic of a time interval or an event depending on which the output of at least a section of the audio signal MS1, MS2 and/or the at least one auditory message AM1 , AM2, AM3 is to take place. This type of parameter relates in particular to scheduling or adjusting one or more outputs of one or more Sections of the audio signal MS1, MS2 and/or the auditory message AM1, AM2, AM3 on a time axis;
(PAM3) or (PMS3), a distribution of the output of the audio signal MS1, MS2, or individual channels of an audio signal MS1, MS2 or the at least one auditory message AM1, AM2, AM3 to different spatial areas RB1, ... RB6, eg also to only partially acoustically connected or separate room areas RB1, . Alternatively or additionally, PAM3 or PAS3 performs a spatial division, propagation of the corresponding sound waves generated on the basis of the audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3, one or more specific sound wave patterns (to be generated), in particular in one or more specific spatial areas RB1, on at least two sound sources synthesized by means of a wave field synthesis;
(PAM4) or (PMS4), the direction, distance and/or position from which the communication message MS1, MS2, ... AM1, AM2, AM3, ..., in particular a certain part (a certain content and/or section ) of the communication message MS1, MS2, ... AM1, AM2, AM3, ... is generated or made perceptible. In particular, the parameter (PAM4) or (PMS4) is characteristic of a spatial sound parameter or a virtual sound source. In a simplified case, a spatial sound parameter can correspond to a type of spatial sound parameter known from the field of spatial sound or surround systems.

By determining or adjusting the at least one spatial sound parameter, specific, expedient spatial sound effects can be brought about that affect the output of specific sections of the audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3. For example, a spatial sound parameter PAM4 or PAS4 identifies from which direction and/or in which direction the sound waves generated based on the audio signal MS1, MS2 or based on the at least one auditory message AM1, AM2, AM3 are to be output and/or made perceptible.

The spatial sound parameter PAM4 or PAS4 can also be characteristic of the parameters of at least one sound source, in particular a sound source generated by means of wave field synthesis, for example characteristic of a perceptible direction, distance or position in which this, in particular from a specific spatial area RB1, .. .RB6, is to be made perceptible. For example, depending on the determined parameter PAM4 or PAM4, a wave field synthesis is carried out in the vicinity of the second user device AG2, AG2', AG2'' or within the second living space 2, 2', 2'';
(PAM5) or (PMS5), an envelope of the amplitude and/or the frequency density spectrum or envelope of the frequency density spectrum, or the corresponding parameters of the sound waves based on the at least one auditory message AM1, AM2, AM3 or the audio signal MS1, MS2 . In particular, the PAM5 or PASS determines a control of the amplitude dynamics or dynamic compression of the at least one auditory message AM1, AM2, AM3 or the audio signal MS1, MS2; This parameter can also identify an image parameter or parameter of a video signal;
(PAM6) or (PMS6), the characteristic values of a spectral parameter, or characteristic values for modification, in particular shifting or compression of one or more spectral parameters, a frequency density spectrum, or one or more wavelength parameters based on the at least one auditory message AM1, AM2, AM3 or the audio signal MS1, MS2 or corresponding sound waves to be generated;
(PAM7) or (PMS7), a content-related parameter or characteristic values for determining or adjusting a content-related parameter of the communication message MS1, MS2, ... AM1, AM2, AM3, .... This parameter can be a selection or omission of certain Identify content from a set of content AI2, AI2'' or VI2, VI2' to be output. This can relate to individual sections of the audio signal MS1, MS2, video signal and/or the content or information IAS1, IAS2, IAM1, IAM2, IAM3 represented by at least one media message AM1, AM2, AM;
(PAM8), a selection or adjustment of the tones, tone sequences, melodies or noises for the at least one auditory message AM1, AM2, AM3 of the communication message and/or the visually perceptible objects within the communication message;
(PMS8), a selection of at least the audio signal MS1, MS2, for example indicative of whether an audio signal AS1 predominantly with speech components or an audio signal AS2 predominantly with music components is to be selected, eg currently or for a specific time interval. This selection parameter can also indicate whether an audio signal MS1, MS2 with or without a corresponding (dependent, assigned) video content VI1, VI2 or text content, eg for a current or a specific time interval, should be selected or preferred. Also, (PAS8) can be indicative of a choice or preferring one of at least two alternative voice channels of the audio signal MS1, MS2, eg for a selection or preferring a channel of the audio signal MS1, MS2, . . . which is to be output currently or for a specific time interval;
(PAM9), a stylistic parameter or the variation of a stylistic parameter of the media message AM1, AM2, AM3, e.g. regarding the choice of words, style, intonation, communication behavior in which a voice message AM1, AM2, AM3, ... is generated or shall be. Furthermore, a (any) parameter of the speech generation (PSG1, PSG2, . . . ) can be changed, determined or adapted to generate the auditory message AM1, AM2, AM3 depending on the determined parameter PAM9;
(PMS9), an omission, a selection or a preference with regard to a type, genre or style in relation to at least one audio signal MS1, MS2, to an image or video signal or a section or channel of an audio signal MS1, MS2 or a visually perceptible object;
(PAM10) or (PMS10) an identifier of a part (section or content) of the communication message MS1, MS2, ... AM1, AM2, AM3 ..., which indicates whether the part of the communication message MS1, MS2, .. AM1, AM2, AM3 . The parameter can also be a combination or assignment of a part (section or content) of the communication message MS1, MS2, ... AM1, AM2, AM3 ... to a part (section or content) of another media content MI1, MI2. .. mark. In particular, (PAS10) identifies a parameter (PAS1', PAS2', ...) and/or (PAM1', PAM2', ...), one or more limit values (PAM2min, PAM2max; ...), (PAS1min , PAS1max; PAS2min, PAS2max; ...) of a further content to be output which can be output together with the communication message, for example the auditory message AM1 or a section of an auditory message AM1;
(PMS11) or (PAM11) an instruction for reading, shortening, changing or supplementing a content to be output A21, AI2', or VI2, VI2', and/or for combining a part of the communication message with or integrating the communication message into one (Multimedia) program and/or instructions for selecting a part (section or content) of the communication message, eg according to a parameter value range or a criterion. This type of parameter can include an instruction or sequence of instructions that are characteristic for selecting, inserting, omitting, determining or adjusting the order, and/or integrating assembling, in particular synthesizing the communication message MS1, MS2, ... AM1, AM2 , AM3, ..., for example from a certain quantity of second content AI2, AI2', ... or VI2, VI2' ... to be output of a first type or from a first source and data, signals of a second type or from a second source characterize the generation of the communication message MS1, MS2, . . . AM1, AM2, AM3, .

In other words, a (possibly complex, an instruction sequence comprehensive) rule for generating one or more communication messages MS1, MS2, ... AM1, AM2, AM3, ..., determined in particular from different content, signals, data sources or be adjusted. Compare the description of the audio and video editing. This parameter can be specific to specific (second) user devices AG2, AG2, AG2'', living rooms 2, 2', 2'', or persons P2, P2', P2'';

(PMS12) or (PAM12) a physical impulse, in particular a body language expression, e.g. a micro-expression, body language or a body language message. It can be a parameter of a physical Emotion, in particular a body language expression or body language act. In particular, the (PMS12) or (PAM12) is the parameter of a physical impulse, in particular a body language expression, body language or a body language message of an avatar AV1, AV1', AV1'' and (e.g. described in this document). /or a (virtual) protagonist of media content. For example, a physical emotion or body language (used for entertainment or communication with the one or more second persons P2, P2', P2'') of the at least one avatar AV1, AV1', AV1'' with the parameter (PMS12) or ( PAM12) determined or adjusted, preferably controlled continuously;

All said parameters (PAM1, PAM2, ...), or (PMS1, PMS2, ...) can also be parameters of the corresponding, based on the at least one media message AM1, AM2, AM3 or based on at least one section of the Audio signals MS1, MS2 generated or to be generated sound waves or sound wave pattern, or the optical parameters of the images or videos of the communication message MS1, MS2, ... AM1, AM2, AM3 . . . The respectively corresponding parameters or parameter values can be determined or adjusted in an analogous manner.

In the method, one or more parameters (PMS1, PMS2, ...) or (PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, are determined or adjusted, in particular continuously or cyclically. ... AM1, AM2, AM3. One or more parameters can be determined or adjusted during the generation of the respective at least one media message AM1, AM2, AM3 or during the output of the section of the audio signal MS1, MS2, depending on at least one parameter (PK1') related to the recent past , PK2', ... PK9'), (PRK1', PRK2', ... PRK8') or (PRMI-a', PRMI-b', PRMI-c') and/or current parameters (PK1, PK2, ... PK9), (PRK1, PRK2, ... PRK8) or (PRMI-a, PRMI-b, PRMI-c) and/or at least one predicted parameter (PK1'', PK2'', ... PK9''), (PRK1'', PRK2'', ... PRK8'') or (PRMI-a'', PRMI-b'', PRMI-c''). The determination or adjustment of one or more parameters (PMS1, PMS2, ...) or (PAM1, PAM2, PAM3, ...) can, in particular, be dependent on ongoing or cyclic (by means of the one or more first user devices AG1, AG1 ', AG1'' or within the one or more first living spaces 1, 1', 1'', and in particular within the second living space 2, 2', 2''), determined parameters (PK1, PK2, ... PK9 ), (PRK1, PRK2, ... PRK8) or (PRMI-a, PRMI-b, PRMI-c). Determining or adjusting the parameter (values) of the parameters (PAM1, PAM2, ...) or (PMS1, PMS2, ...) of a certain type can be done according to one for the respective type of parameter (PAM1, PAM2,) or (PMS1, PMS2, ...) provided rule, logic, formula, parameters etc. of said mathematical relationship. In particular, the rules, logic, formulas, parameters, etc. of the said mathematical relationships for determining or adjusting two different types (PAM1, PAM2, PAM3, ...) or (PMS1, PMS2,) of the parameters of at least one Communication message MS1, MS2, ... AM1, AM2, AM3 are used (or applied), distinguish.

In particular, the said determination or adjustment of the parameters of the communication message AS1, AS2, ... AM1, AM2, AM3, ... on the at least one second user device AG2, AG2', AG2'' or within the at least one second living space 2 , 2', 2'' only or essentially only dependent on sections, features, patterns of the various first parameters described in this document (PK1, PK2, ... PK9), (PRK1, PRK2, ... PRK8) or (PRMI-a, PRMI-b, PRMI-c), ... are executed, where the first sections, features, patterns of parameters (PK1, PK2, ... PK9), (PRK1, PRK2, ... PRK8 ) or (PRMI-a, PRMI-b, PRMI-c), ... can be selected according to a predetermined first criterion.

For example, first sections, features and/or specific patterns of the first parameters that are determined in the vicinity of one or more first user devices AG1, AG1', AG1' or within one or the other first living space 1, 1', 1'' were selected, only or primarily these for determining or adjusting the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message AS1, AS2, ... AM1, AM2, AM3, . .. be used. This can be done according to a specific, in particular predetermined criterion, pattern or depending on an output layer of the neural network DNN1, DNN2, DNNZ (e.g. trained and/or operated for this purpose). Alternatively or additionally, e.g. depending on one or more of the second parameters, a selection of specific parameters or types of parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message AS1, AS2, . .. AM1, AM2, AM3, ... are made, with the determination or adjustment of the parameter (values) only or mainly on the selection of the parameters or types of parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) refers.

In another example that can be combined with other features, at least two communication messages AS1, AS2, . . . AM1, AM2, AM3, second living spaces 2, 2', 2'', e.g. for at least two different second persons or persons belonging to two different groups of persons. For example, a specific difference, e.g. an appropriate differentiation, between at least two communication messages AS1, AS2, ... AM1, AM2, AM3, ..., can be determined or adjusted. For example, a differentiation, in particular a measure of the difference, between two different communication messages AS1, AS2, ... AM1, AM2, AM3, ..., in particular between the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication messages AS1, AS2, ... AM1, AM2, AM3, ... by selecting the aforementioned first criterion and/or the second, on the environment of the second user device AG2, AG2', AG2'', the second person P2, P2', P2'', related to the second living space, criterion can be determined or adjusted.

In a further example that can be combined with other features, a substantial part or proportion of the features of the at least one communication message AS1, AS2, . . . AM1, AM2, AM3, . ', second living spaces 2, 2', 2'', second persons P2, P2', P2'' valid) one or more predetermined, unchanged auditory or visual output contents AI2, VI2' and / or a predetermined rule or specification are equivalent to. By determining or adjusting the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message AS1, AS2, ... AM1, AM2, AM3, ... a (e.g. only executable in a desired or dynamically metered extent) change in the communication message AS1, AS2, ... AM1, AM2, AM3, ... compared to a corresponding output content, and / or or a differentiation between two different communication messages, eg certain criteria.

In an example that can be combined with all other features, depending on the one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' within the first living space 1, 1', 1'' and/or or from the one or more parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of at least one person to media content MI1, MI2 on the at least one second user device AG2, AG2', AG2'' or . within a first living space 1, 1', 1'', a parameter of consumer information in an auditory message MS1, MS2, AM1, AM2, AM3, ..., e.g. the time, playing time, the advertised product, highlighted features of the product, addressed needs of the people, etc., the occurrence of certain sections in the consumer information or compilation of consumer information, etc. are determined or adjusted. For example, one or more content-related features of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . . . , consumer information, product placement, etc. can be determined or adjusted.

In a simplified example, depending on the one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' in the surroundings of the one or more first user devices AG1, AG1', AG1'' or within the one or more first living spaces 1, 1', 1'' and/or from the one or more parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of at least one person to a media content MI1, MI2 also generate a communication message MS1, MS2, . . . AM1, AM2, AM3, '' or for the at least one second living space 2, 2', 2''. The one or more parameters (PMS1, PMS2, ..., PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... by any means, e.g. by means of a simulation or artificial intelligence, depending on the data based on one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' from a large number of the first living spaces 1, 1', 1'' and/or of the one or more parameters (PRMI-a, PRMI-b, PRMI-c, ...) of a large number of reactions of the (each) at least one person to media content MI1, MI2, each in the Environments of a large number of first user devices AG1, AG1', AG1'' or the first living spaces 1, 1', 1'' are determined or adapted.

The generation of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., can be a simulation of a creative creation process, e.g. based on a large number of (first) parameters from a large number of the first user devices AG1, AG1', AG1 '' or the first living quarters 1, 1', 1''. For example, a communication message MS1, MS2, . . . AM1, AM2, AM3, MS1, MS2, ... AM1, AM2, AM3, ... an event, a scene (here the term "scene" is to be understood in particular in the sense of dramaturgy), a variant of the plot, e.g. one of several possible or stored Variants of the plot, a dramaturgical turn, punchline, etc. can be determined or adjusted. In other words, a variant of the plot, a dramaturgical turn of a communication message MS1, MS2, ... AM1, AM2, AM3, ... or a Program, which is influenced by the communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g. by adding, mixing, integrating the at least one communication message, determined, in particular selected, or adapted.

In an optional step, the type of a section of a (possibly taking place) communication Ka, Kb, Kc, Ka' in the vicinity of the second user device AG2, AG2', AG2'' or within a second living space 2, 2', 2''Eg the type of transaction and/or a feature of one or more communication messages, of a content IK-a, IK-b, IK-c represented by the communication section Ka, Kb, Kc, Ka' is determined and taken into account. It becomes a priority measure of a section of the communi cation Ka, Kb, Kc, Ka' is determined on the basis of at least one priority indicator. A priority measure can be determined or estimated from a combination of already detected or assumed parameters (PK1, PK2, ... PK9). For example, this can be based on or taking into account one or more scenes S1, ... S8 recorded or predicted in this case for the second living space 2, 2', 2'' in question and/or the emotion recognition or intention recognition of at least one person in the second Living room 2'. 2', 2'', for example taking into account corresponding parameters (PS1, PS2, ...), (PE1, PE2, ...), (PA1, PA2, ...) can be determined. In this example, the priority measure is determined in two dimensions, in particular with at least two indicators that are more or less independent of one another.

A first priority indicator of at least one section of the communication K-a, K-b, K-c, K-a' is determined, which roughly characterizes its "importance" or a current "relevance", and/or a second indicator roughly representing an "urgency". or "for transmission until ... '', indicates determined. The second priority indicator can indicate an absolute or relative time value, e.g. as a "deadline time" or a time interval or an expected event, up to which the corresponding section of the communication K-a, K-b, K-c, K-a' can be sent to a (any, specific or potential) listener should be given out or heard or interpreted (understood) by them. In this example, two to four gradations are provided for the two respective priority indicators.

Priority indicators defined according to this principle are very beneficial for later processing of the priority measures in the procedure. For example, a comparable priority measure, preferably with comparable priority indicators, is also determined in relation to at least one section of the communication message, e.g. the audio signal MS1, MS2 and/or at least one auditory message AM1, AM2, AM3. However, it is also possible to set the priority level or at least one priority indicator of a section of the audio signal MS1, MS2 and/or at least one auditory message AM1, AM2, AM3 to be output in the same temporal context at least temporarily as a specific, e.g. average, level or value .

A parameter, in particular the priority level of at least one section of the communication K-a, K-b, K-c, K-a' in a second living space 2, 2', 2'' can be combined with at least one parameter, in particular the priority level of a (also, in particular, in the same time interval in the second living space 2, 2', 2'') to be output communication message MS1, MS2, ... AM1, AM2, AM3, .., are compared and the result of the comparison is taken into account in the method. A parameter (PMS1, PMS2, ..., PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3 can then be determined or adjusted, e.g. depending on the result of the comparison . It can thus be achieved, for example, that the communication message is not inconvenient for the people in the second living space 2, 2', 2'', e.g. does not cause any disruption or causes a disruption that is limited to a certain extent.

In a further example, depending on the first parameters (PK1, PK2, ... PK9) or (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b , PRMI-c ...) only or predominantly the general characteristics, e.g. abstracted from concrete situations, information or contexts, of behavior or behavior, communication behavior, so to speak, the nature of the generation of the communication message, the (second) parameters of a personality model, a state , status change, a condition for a status change, a parameter of the one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' as such, e.g. an operating mode of the one or more personality models PM1, PM1' , PM1'' or avatars AV1, AV1', AV1'' (e.g. continuously or in stages) determined or adjusted. The operating mode can be a mode of generating the communication message or an operating mode of a text generator, speech generator, image generator, video generator, body language generator (e.g. facial expression generator and/or gesture generator), scene generator, generator of tactile, gustatory or olfactory stimuli (e.g. a touch generator, scent generator or scent organ and/or a taste generator, etc.) for generating the communication message. At least one parameter of the communication message MS1, MS2, ... AM1, AM2, AM3, ... can be a reaction to a (second) input, sensor information, a local context, the second person in the vicinity of the second user device AG2, AG2 ', AG2'' or within the second living space 2, 2', 2''.

An exemplary description of the variants (V1, . . . V10) of determining or adapting one or more parameters (PAM1, PAM2, PAM3 . .., mainly using the example of an auditory message AM1, AM2, AM3 and/or one or more parameters (PMS1, PMS2, ...) of the at least one section of the audio signal MS1, MS2. These variants can be selected, for example depending on the measure of success that can be achieved in each case, for example depending on one or a large number of measures of success achieved in the past, or they can be combined with other features of the method as desired be ned. These variants refer, for example, to the living space 2, 2', 2'' in which the communication message MS1, MS2, . . . AM1, AM2, AM3, or appears.

Also, the variants (V1, ... V10) can relate in an analogous manner to the outputs of the media content MI1, MI2, ... in one or more first living spaces 1, 1', 1'', the media content MI1, MI2, ... with a section of a (further and determined or adapted according to the same principle communication message MS1, MS2, ... AM1, AM2, AM3, ...,) is influenced (e.g. includes such a section or a parameter a media content MI1, MI2 depending on the parameter (PMS1, PMS2, ...) or (PAM1, PAM2, PAM3 ...) is generated.

• Beispielsweise kann das zumindest ein neuronales Netzes DNN1, DNN2, DNNZ trainiert und/oder betrieben werden einen Zeitparameter (PAM2) zum Erzeugen der zumindest einen Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... abhängig von einem prädizierten Parameter (PK1'', PK2'', ... PK9'') einer zweiten Kommunikation K-a, K-b, K-c, K-a' und/oder abhängig von einem prädizierten Parameter (PAI1'', PAI2'', ...) zumindest eines akustischen Inhalts Al-a, Al-b, Al-c, Al-d in dem (jeweiligen) zweiten Wohnraum 2, 2', 2'' zu bestimmen.
• Beispielsweise kann abhängig von einem ermittelten Parameter (PK1, PK2, ... PK9) und/oder einem prädizierten Parameter (PK1'', PK2'', ... PK9'') der besagten Kommunikation K-a, K-b, K-c, K-a' und einem ermittelten oder prädizierten Parameter (PAI1, PAI2, ...) eines weiteren akustischen Inhalts Al-a, Al-b, Al-c, Al-d, welcher sich mit einem Abschnitt der Kommunikation K-a, K-b, K-c, K-a', z.B. einem vorausliegenden Abschnitt der Kommunikation K-a', K-b', K-c', K-a'' zumindest teilweise zeitlich überlappt, ein zur Ausgabe geplantes oder ein bereits in der Ausgabe befindliches Audiosignal MS1, MS2 und/oder eine auditive Meldung AM1, AM2, AM3: sofort pausiert werden; an einer geeigneten Stelle, (hier: nach dem Ende einer Phrase oder eines Satzes der Person) wiedergegeben werden; in zumindest zwei Abschnitte, die insbesondere jeweils an sich sinnvoll wahrnehmbare Inhalte und/oder abgeschlossene linguistische Strukturen repräsentieren, aufgeteilt werden. Dabei können für unterschiedliche zweite Wohnräume 2, 2', 2'' unterschiedliche Zeitparameter (PAM2, PAM2', PAM2'', ...) ermittelt werden.

The following is a description of variant V1 with the determination or changing of a time parameter PAM2:

• For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated using a time parameter (PAM2) to generate the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... depending on a predicted parameter (PK1'', PK2'', ... PK9'') of a second communication Ka, Kb, Kc, Ka' and/or depending on a predicted parameter (PAI1'', PAI2'', ...) at least one acoustic content Al-a, Al-b, Al-c, Al-d in the (respective) second living space 2, 2', 2''.
• For example, depending on a determined parameter (PK1, PK2, ... PK9) and/or a predicted parameter (PK1'', PK2'', ... PK9'') of said communication Ka, Kb, Kc, Ka' and a determined or predicted parameter (PAI1, PAI2, ...) of a further acoustic content Al-a, Al-b, Al-c, Al-d, which deals with a section of the communication Ka, Kb, Kc, K- a', eg an upcoming section of the communication K-a', K-b', K-c', K-a'', at least partially overlapping in time, an audio signal MS1, MS2 and that is planned for output or is already being output /or an auditory message AM1, AM2, AM3: to be paused immediately; at a suitable place (here: after the end of a phrase or a sentence of the person) are reproduced; divided into at least two sections, each of which in particular represents content that can be meaningfully perceived per se and/or closed linguistic structures. Different time parameters (PAM2, PAM2', PAM2'', . . . ) can be determined for different second living spaces 2, 2', 2''.

Such a division, a later reproduction and/or a later joining together, e.g. with at least one further section, can also depend on the predicted content-related feature IK-a, IK-b, IK-c of the communication K-a, K-b, K-c, K- a', e.g. before or during the output of at least a section of the further media content MI1, MI2, e.g. an audio signal MS1, MS2 and/or the at least one communication message AM1, AM2, AM3. For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to split, pause or (re)play and/or later combine the sections, parts or contents at or from at least one suitable To carry out the position (also to be understood in particular: to cause).

For example, the determination or adjustment of a parameter of the communication message MS1, MS2, AM1, AM2, AM3, ... using the neural network DNN1, DNN2, DNNZ relates to a selection, in particular the adjustment of a time interval for the output of one or more (possibly short ) Sections of the communication message MS1, MS2, AM1, AM2, AM3, .... Such sections can be integrated and/or mixed in the method, e.g.

A program (audio program, video program, multimedia program, entertainment program, simulation, etc.) can be generated based on the sequence of the (combined and/or mixed) sections. For example, a media component and/or a visual component (as images, simulation, game, video, etc.) of the communication message can be generated, in particular modified. In a simplified case, such a combination can be implemented by selecting or generating the sections by appropriately selecting the memory accesses to different data sections to be output.

At least one parameter PMS1, PMS2, ...) or (PAM1, PAM2, PAM3 ...) of the communication message MS1, MS2, AM1, AM2, AM3, ... can (in the method, in particular in this case) be random, For example, depending on a random or quasi-random process or controlled by a random number generator. An impression of liveliness or improvisation, for example one from a real living being coming or an improvised communication messages MS1, MS2, AM1, AM2, AM3, ... are generated.

Furthermore, a suitable point for pausing, splitting and/or combining a section of the audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3 can be determined. A point within a media message AM1, AM2, AM3 or an audio signal MS1, MS2 can be determined as such a point, in which an at least partially completed (per se unmistakable, corresponding to predetermined, e.g. linguistic features complete) section of the content IAS1' , IAS2', IAM1', IAM2', IAM3' ends and/or another (per se unmistakable) section of the content IAS1'', IAS2'', IAM1'', IAM2'', IAM3'' begins. As such a suitable point in media content MS1, MS2 or the auditory message AM1, AM2, AM3, a point can alternatively or additionally be determined where a comparatively abrupt transition, a “hard” cut or scene change within the video sequence and/or a change in voices and/or a feature of content is recognized.

For example, a start and/or end of consumer information (an advertisement, an advertising block) can also be determined as a suitable point. In this example, a said suitable point is determined from the data of the audio signal MS1, MS2 and/or the auditory message AM1, AM2, AM3, which will only be heard in a few seconds (in the specific second living space 2, 2', 2'' or from the particular device) are to be output. These are read in with foresight or evaluated or generated with foresight in the process.

If a priority measure of a section of the communication K-a, K-b, K-c, K-a' in the second living space 2, 2', 2'' above a (comparatively high) first threshold value is detected, an immediate pausing, splitting and/or joining of a section takes place the audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3. If a priority measure of a section of the communication K-a, K-b, K-c, K-a' in the second living space 2, 2', 2'' above a (comparatively low) second threshold value is detected, pausing, splitting and/or merging a section of the communication takes place Audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3 only when a suitable point for pausing, dividing and/or joining is reached.

In this example, time intervals are determined that mark, for example, pauses within a spoken communication K-a, K-b, K-c, K-a' between the at least two people, in which one or more specific sections of the audio signal MS1, MS2 and/or sections of the audio signal MS1, MS2 with a certain duration, at least in terms of time, can be output appropriately. Such time intervals are preferably suitable or particularly well suited for the output that match a time dimension, e.g. the determined or expected playback length. At least a specific section of an audio signal MS1, MS2 and/or one or more sections of the audio signal MS1, MS2 can be output with (each) a specific time duration without a time overlap and/or without a significant increase in volume.

In the method, a corresponding splitting of the audio signal MS1, MS2 or of the information content IAS2, IAS2 to be transmitted by the audio signal into at least two sections can be caused to match the determined time intervals. The corresponding sections can then be generated or output to match the determined time intervals, which are characterized by the corresponding time parameters (PAM2). A combinability of the generation of one or more sections of the audio signal MS1, MS2 to be output with at least one generated auditory message AM1, AM2, AM3 of a section of a telecommunication content TI1, TI2 can preferably be determined and taken into account in approximately the same time interval. For example, sections of an audio signal MS1, MS2, . or provided with a predetermined transition effect.

In this example, a sequence of at least two auditory messages AM1, AM2, AM3 to be output, e.g. in a queue, and/or individual sections or contents IAM1, IAM2, IAM3 of a respective auditory message AM1, AM2, AM3, a telecommunications content TI1 , TI2, depending on a current communication Ka, Kb, Kc, Ka' or a communication intention in relation to a further or subsequent communication K-a', K-b', K-c', K-a'' and/or at least the voices two said persons and/or the voice of a person in a specific spatial area RB1, . . . RB6, eg at a specific seat RB4 in the respective living space.

• Falls im Verfahren zumindest ein Richtungsparameter (PK1) der besagten (ersten bzw. zweiten) Kommunikation K-a, K-b, K-c, K-a' ermittelt, geschätzt oder angenommen wurde, kann dieser, bevorzugt als sein aktueller oder auf die nahe Zukunft (1- 30 Sec) prädizierter Wert berücksichtigt werden. Auch können ein oder mehrere Raumbereiche RB1, ... RB6 eines jeweiligen Wohnraums ermittelt werden, wo sich zumindest ein „Sprecher“ oder zumindest ein „Zuhörer“, oder „Sprecher und Zuhörer“ zumindest mit einer gewissen Wahrscheinlichkeit aufhält bzw. in der nahen Zukunft aufhalten wird. Die ermittelte Information wird berücksichtigt.

The following is a description of variant V2 with an adaptation of the communication message to a direction parameter (PK1):

• If at least one directional parameter (PK1) of the said (first or second) communication Ka, Kb, Kc, Ka' was determined, estimated or accepted in the method, this can be used, preferably as its current or for the near future (1-30 sec ) predicted value must be taken into account. One or more room areas RB1, will stop. The information determined is taken into account.

At least one parameter (PMS1, PMS2, ...) of the audio signal MS1, MS2 or at least one parameter (PAM1, PAM2, ...) of the at least one media message AM1, AM2, AM3 is dependent on the at least one directional parameter ( PK1) of the communication K-a, K-b, K-c, K-a 'in the one or more living spaces 1 adapted. For this purpose, it is determined how many people are communicating with one another, and in particular the assignments between one or more speakers and/or listeners (or corresponding spatial areas RB1, . . . RB6) for two or more time intervals are determined and taken into account. For example, it is determined which of the persons or which areas of space RB1, ... RB6 is the sender (speaker) and which person or which of the persons or which areas of space RB1, ... RB6 are the recipients of the communication (listeners or target persons, from who is expected to listen to or interpret a corresponding, specific linguistic message) is or are. Depending on this, one or more sections of the audio signal MS1, MS2 and/or the auditory message AM1, AM2, AM3 (which is output in a second living space 2, 2', 2'') are appropriately determined or adjusted, in particular in the appropriate one Way or with the selected variant (V1, V2, ... V10) of determining the parameters, adjusted.

A specific, expedient distribution of acoustic sound waves can also be generated in the respective living space on the basis of the audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3. Signal processing operations in the time and frequency domain or changing the phases or phase differences between individual components or channels of the corresponding signals can be carried out, controlled or regulated. A corresponding sound wave parameter (e.g. in relation to perceptibility, interpretability, intelligibility, loudness, etc. of the one or more content) in the respective living space.

• Falls im Verfahren ein Prioritätsmaß eines Abschnitts der besagten Kommunikation K-a, K-b, K-c, K-a' ermittelt, geschätzt oder angenommen wurde, kann dieses, bevorzugt als sein aktueller oder auf die nahe Zukunft vorausgesagter Wert berücksichtigt werden. Dabei kann abhängig von dem inhaltlichen Merkmal (PK4) der Kommunikation K-a, K-b, K-c, K-a' auch ein Prioritätsmaß einer jeweiligen (von zumindest einer Person in dem jeweiligen Wohnraum 2, 2', 2'', 1, 1', 1'' gesprochenen) sprachlichen Botschaft automatisch geschätzt werden. Beispielsweise können sicherheitsrelevante Abschnitte der Kommunikation K-a, K-b, K-c, K-a' (z.B. bestimmte Arten, Themen sprachlicher Botschaften zwischen den Personen), z.B. als „Wichtig“ und/oder „Dringend“ und/oder „zu übermitteln bis Event...“, „muss im Wesentlichen von einer Person ... gehört werden bis ...“ entsprechend, mit einem hohen Prioritätsmaß gekennzeichnet werden. Daraufhin kann z.B. eine Ausgabe eines Abschnitts des Audiosignals MS1, MS2 und/oder eine auditive Meldung AM1, AM2, AM3, insbesondere eine Sprachmitteilung, vorgezogen, gestoppt und, insbesondere zu einem späteren Zeitpunkt, in Form einer Ausgabe, z.B. eines Abschnitts zwischen zwei geeigneten Stellen und/oder in einer alternativen Form wiederholt werden. Als Wiederholung ist insbesondere auch zu verstehen, dass ein neuer Abschnitt des Audiosignals MS1, MS2 und/oder der auditiven Meldung AM1, AM2, AM3 oder eine Information IAS1', IAS2' bzw. IAM1', IAM2', IAKM3' in einer alternativen Form erzeugt bzw. ausgegeben wird. Dabei kann ein entsprechender, insbesondere ein zumindest wahrscheinlich nicht hinreichend übermittelter Inhalt, z.B. ein (bisheriger) Informationsinhalt IAS1, IAS2 bzw. IAM1, IAM2, IAKM3 ausgleicht, ergänzt oder ersetzt werden.

The following is a description of variant V3 with determining or adapting the communication message depending on a priority measure:

• If a priority measure of a section of said communication Ka, Kb, Kc, Ka' was determined, estimated or accepted in the method, this can be taken into account, preferably as its current value or its value predicted for the near future. Depending on the content-related feature (PK4) of the communication Ka, Kb, Kc, Ka', a priority measure of a respective (of at least one person in the respective living space 2, 2', 2'', 1, 1', 1'' Spoken) linguistic message are automatically estimated. For example, security-relevant sections of the communication Ka, Kb, Kc, Ka' (e.g. certain types, topics of linguistic messages between people), e.g. as "Important" and/or "Urgent" and/or "To be transmitted by event..." , "must be heard substantially by a person ... by ..." accordingly, be marked with a high priority measure. Thereupon, for example, an output of a section of the audio signal MS1, MS2 and/or an auditory message AM1, AM2, AM3, in particular a voice message, can be brought forward, stopped and, in particular at a later point in time, in the form of an output, for example a section between two suitable places and/or repeated in an alternative form. In particular, repetition is also to be understood as meaning that a new section of the audio signal MS1, MS2 and/or the auditory message AM1, AM2, AM3 or information IAS1', IAS2' or IAM1', IAM2', IAKM3' in an alternative form is generated or output. Corresponding content, in particular content that is at least probably not sufficiently transmitted, for example (previous) information content IAS1, IAS2 or IAM1, IAM2, IAKM3, can be compensated for, supplemented or replaced.

• Falls im Verfahren ein inhaltliches Merkmal (PK4) oder ein linguistischer Parameter (PK6) eines Abschnitts der besagten Kommunikation K-a, K-b, K-c, K-a' ermittelt, geschätzt oder angenommen wurde, kann dieser, bevorzugt (auch) als sein aktueller oder auf die nahe Zukunft vorausgesagter Wert berücksichtigt werden. Dabei kann abhängig von zumindest einem inhaltlichen Merkmal (PK4) und/oder von zumindest einem linguistischen Parameter (PK6) ein zeitlicher Parameter in Bezug auf die Kommunikation K-a, K-b, K-c, K-a' in dem jeweiligen Wohnraum 2, 2', 2'', bzw. 1, 1', 1'' ermittelt, insbesondere prädiziert werden, der einen oder mehrere Zeitpunkte kennzeichnet, zu dem eine Kommunikationsbotschaft, sprachliche Botschaft, ein Satz, eine Rede zumindest einer Person in dem jeweiligen Wohnraum 2, 2', 2'', 1, 1', 1' voraussichtlich (hinreichend) abgeschlossen sein wird. Daraufhin kann beispielsweise der Beginn, die Dauer, das Ende der zumindest einen (für zumindest eine Person in dem jeweiligen Wohnraum 2, 2', 2'', 1, 1', 1'' bestimmten) auditiven Meldung AM1, AM2, AM3 und/oder eines Abschnitts des Audiosignals MS1, MS2 geplant werden. Bei nicht abgeschlossenen Sätzen bzw. Phrasen kann auf die Ausgabe der zumindest einen auditiven Meldung AM1, AM2, AM3 und/oder eines (weiteren, angepassten oder nicht angepassten) Audiosignals MS1, MS2, z.B. mit einer Ausgabe zumindest eines Abschnitts des Audiosignals MS1, MS2, nach einer ermittelten geeigneten Stelle, länger gewartet werden.

The following is a description of variant V4 with the adaptation to a content-related feature (PK4) and/or a linguistic parameter (PK6) of the communication Ka, Kb, Kc, Ka':

• If a content-related feature (PK4) or a linguistic parameter (PK6) of a section of said communication Ka, Kb, Kc, Ka' was determined, estimated or accepted in the process, this can preferably (also) be considered current or close to future predicted value are taken into account. Depending on at least one content-related feature (PK4) and/or at least one linguistic parameter (PK6), a time parameter relating to the communication Ka, Kb, Kc, Ka' in the respective living space 2, 2', 2'' , or 1, 1', 1'' are determined, in particular predicted, which characterizes one or more points in time at which a communication message, linguistic message, a sentence, a speech of at least one person in the respective living space 2, 2', 2 '', 1, 1', 1' is expected to be (sufficiently) completed. Then, for example, the beginning, the duration, the end of the at least one auditory message AM1, AM2, AM3 and /or a section of the audio signal MS1, MS2 are planned. In the case of incomplete sentences or phrases, the output of the at least one auditory message AM1, AM2, AM3 and/or an (additional, adapted or non-adapted) audio signal MS1, MS2 can be followed, e.g. with an output of at least a section of the audio signal MS1, MS2 , after a suitable body has been identified, will have to wait longer.

For example, depending on said content feature (PK4) and/or the linguistic parameter (PK6), it can be predicted or assumed that further communication content or which communication content with which (estimated, predicted) parameters will follow with a certain (high) probability.

The following is a description of variant V5 with a determination or adjustment of a parameter (PAM4) or (PMS4) which is characteristic of the direction, distance and/or position from which the communication message MS1, MS2, ... AM1, AM2, AM3, ..., in particular a certain part (a certain content and/or section) of the communication message MS1, MS2, ... AM1, AM2, AM3, ... is generated or made perceptible.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to form and/or place one or more virtual sound sources, in particular sound sources. This can be done in such a way that two contents, e.g. containing speech and/or images, are to be output with the communication message in terms of their (at least objectively and/or subjectively) perceptible direction, distance and/or position (angle range perceived by a person present or accepted, distance or position), in particular in relation to at least one person in the respective living space 2, 2', 2'', 1, 1', 1'', can be perceived differently, e.g. oppositely or at significantly different positions.

For example, at least two different parts of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g /or the at least one auditory message AM1, AM2, AM3 is generated or output from different perceptible directions, distances and/or positions.

For example, a content generated on the basis of a section of the audio signal MS1, MS2 or the auditory message AM1, AM2, AM3 can create a content IAS1, IAS2, IAM1, IAM2, IAM3 (e.g. by means of signal processing taking into account determined, e.g. measured, acoustic room properties ) assigned to a virtual sound source, in particular a virtual sound source, which corresponds to a different spatial direction or spatial position relative to a listener than the spatial direction or position determined (or estimated) in the method for the at least one said communication K-a, K-b, K-c, K-a 'Concerns, from which, for example, a spoken communication message K-a, K-b, K-c, K-a' comes or is expected.

For example, content generated on the basis of at least one auditory message AM1, AM2, AM3 can be assigned to a (virtual) sound source that corresponds to a different spatial direction or spatial position relative to a listener than the spatial direction from which content based on a section of the further audio signal MS1, MS2 and/or the at least one media message AM1, AM2, AM3 is output. As a result, the at least one relevant person or a listener accepted in a spatial area RB1, . . . RB6 can better perceive the at least two contents IAS1, IAS2, IAM1, IAM2, IAM3 by spatially ordering, “sorting” the content in the person’s perception. The person can direct their own perception or attention as they wish in the direction of a (subjectively preferred) content IAS1, IAS2, IAM1, IAM2, IAM3.

• Falls im Verfahren ein oder mehrere Parameter (PBL1, PBL2, ...) einer oder mehrerer körperlicher Regungen bzw. ein Parameter (PBL1', PBL2', ...) der Körpersprache zumindest einer (ersten bzw. zweiten) Person ermittelt, geschätzt oder angenommen wurde, kann dieser, bevorzugt als sein aktueller oder auf die nahe Zukunft vorausgesagter Wert berücksichtigt werden. In diesem Beispiel wird auch entschieden, ob, bzw. dass eine körperliche Regung einen Teil einer mehr oder minder bewussten Körpersprache darstellt und/oder das diese zu der Kommunikation, K-a, K-b, K-c, K-a' insbesondere zu einem bestimmten Abschnitt einer (z.B. sprachlichen) Kommunikation K-a, K-b, K-c, K-a' zuzuordnen ist. Beispielsweise kann ein Parameter (PBL1, PBL2, ...) einer Mikroexpression einer oder mehreren ersten Personen, insbesondere in Reaktion auf unterschiedliche Abschnitte der Kommunikation K-a, K-b, K-c, K-a' bzw. eines Mediainhalts MI1, MI2 ermittelt und berücksichtigt werden. Beispielsweise kann ein Parameter (PBL1, PBL2, ...) einer Mikroexpression oder vorwiegend ein Parameter (PBL1, PBL2, ...) einer bewusst kontrollierbaren körperlichen Regung ermittelt oder berücksichtigt werden.

The following is a description of the variant V6 with the adaptation depending on a parameter (PBL1, PBL2, ...) of the body language:

• If one or more parameters (PBL1, PBL2, ...) of one or more physical impulses or a parameter (PBL1', PBL2', ...) of the body language of at least one (first or second) person are determined in the method, estimated or assumed, this can be taken into account, preferably as its current value or as its value predicted for the near future. In this example, a decision is also made as to whether or that a physical emotion is part of a more or less conscious body language and/or that this is related to the communication, Ka, Kb, Kc, Ka', in particular to a specific section of a (e.g. linguistic ) communication Ka, Kb, Kc, Ka 'is assigned. For example, a parameter (PBL1, PBL2, . . . ) of a microexpression of one or more first persons can be determined and taken into account, in particular in response to different sections of the communication Ka, Kb, Kc, Ka' or media content MI1, MI2. For example, a parameter (PBL1, PBL2, ...) of a microexpression or predominantly a parameter (PBL1, PBL2, ...) of a consciously controllable physical agitation can be determined or taken into account.

Preferably, at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated a (scientific, mathematical, temporal, causal) connection between a recognized and possibly classified pattern (PBL1, PBL2, ...) of a physical stimulus, e.g. gestures, facial expressions, eye movement, lip movement, microexpression, and a section of a communication K-a, K-b, K-c, K-a', ... (with a specific parameter) and/or the output or the perception of a section of the media content MI1 , MI2 (with a specific parameter). This can be taken into account in the method (e.g. in an explicit form or implicitly by the trained neural network DNN1, DNN2, DNNZ). One or more such relationships can be determined and taken into account for specific first persons P1, P1′, P1″ or first persons P1, P1′, P1″ belonging to specific groups of persons. These relationships can be taken into account as the first parameters or in addition to further first parameters.

These relationships are preferably determined for several (multiple) different first persons P1, P1′, P1″ or several persons who each belong to several specific groups of persons. Determining or adjusting a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... on a second user device AG2, AG2 ', AG2'', can then depend on one or more, particularly frequently or at least with a certain frequency occurring connection between a recognized and possibly classified pattern (PBL1, PBL2, ...) of a physical emotion of one or more first persons , and a portion of a communication K-a, K-b, K-c, K-a' involving the one or more of the first persons ... and/or the delivery or perception of a portion of the media content MI1, MI2. In particular, depending on the said context, a time parameter (PAM2) for the output, a content feature (PK4), an acoustic parameter of a section of the audio signal MS1, MS2, the auditory message AM1, AM2, AM3 or an image or video content VI1, VI2 of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... determined or adjusted, in particular dynamically controlled.

• Optional kann vorgesehen werden, dass für einen bestimmten, automatisch oder durch einen Nutzer, insbesondere durch eine zweite Person wählbaren, Raumbereich RB1, ... RB6, in der Umgebung des zweiten Anwendergeräts AG2, AG2', AG2'' bzw. in dem jeweiligen Wohnraum 2, 2', 2'', und/oder in einem Raumbereich RB1, ... RB6 in dem sich eine Person zugehörig zu einer bestimmten Personengruppe (z.B. ein älterer Mensch, ein Kind oder Baby) aufhält, ein oder mehrere bestimmte, z.B. akustische, optische und/oder inhaltliche, Grenzwerte eingehalten werden, z.B. überschritten und/oder nicht überschritten werden sollen.

The following is a description of variant V7 with the adjustment to comply with a limit value:

• It can optionally be provided that for a specific spatial area RB1, ... RB6, which can be selected automatically or by a user, in particular by a second person, in the vicinity of the second user device AG2, AG2′, AG2″ or in the respective Living space 2, 2', 2'', and/or in a room area RB1, ... RB6 in which a person belonging to a specific group of people (e.g. an elderly person, a child or a baby) is staying, one or more specific, eg acoustic, optical and/or content-related limits are complied with, eg exceeded and/or should not be exceeded.

For example, one or more limit parameters relating to an acoustic, optical and/or content-related feature (a content to be output with part of a communication message) can be maintained. For example, a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3 is determined or adjusted in such a way that a or several limit parameters relating to an acoustic, visual and/or content-related feature (of a content to be output with part of a communication message).

For example, the method can be carried out in such a way that a limit value for an effect associated with the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... in the at least one second person P2, P2', P2 '' will occur (or the effect of the second person P2, P2', P2''). For example, the one or more parameters of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... be determined or adjusted in such a way that a measure of the effect of the at least one communication message MS1, MS2, ... AM1 , AM2, AM3, ... and/or a program comprising the communication message MS1, MS2, ... AM1, AM2, AM3, ..., for example a measure of the emotional, psychological, cognitive effect above a certain first limit value and/or or will be below a certain second limit.

Furthermore, at least one or more of said limit values can be selected depending on one or more other specified criteria. The limit values to be complied with can, for example, depend on a recognized or estimated scene S1, ... S8 in the vicinity of the user device AG2, AG2', AG2'' or the second living space 2, 2', 2'' and/or depending on a predefined criterion, in particular adaptive, depending on the situation. At least one limit value can preferably be an acoustic limit value, e.g. based on the power, frequency characteristics of the content to be output or the corresponding sound waves in relation to the said room area RB1, ..., RB6. Limit values can also be defined or set in relation to various parameters or types of parameters described in this document.

Preferably, one or more parameters (PMS1, PMS2, ...) of the audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3 is controlled, preferably regulated, in such a way that at least one predetermined limit value or one based on human perception or the perception of a specific person related limit value in said spatial area RB1, .. RB6 and/or in a close spatial environment of at least one (recognized) person is complied with. One or more of the said limit values can be based on a superimposition of the acoustic influences of the (auditory) communication K-a, K-b, K-c, K-a' and/or another acoustic content Al-a, Al-b, Al-c, Al-d and with the sound waves or sound wave patterns generated on the basis of said audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3.

A selected spatial area RB1, ... RB6 can be made into an adaptive “quiet zone”, figuratively speaking. In the selected spatial area RB1, ... RB6 (e.g. in a "quiet zone" or "zone without cross-border effects"), certain limit parameters, priority measures or regularities (e.g. stored or expressed by a mathematical relationship), e.g. under respective predetermined ones Conditions apply or are complied with by determining or adjusting the parameters. A selected spatial area RB1, ... RB6 can also be made into an adaptive "infotainment zone", figuratively speaking, with certain minimum values or increased parameter values, priority measures and/or regularities, e.g. under the respective predetermined conditions, applying or by determining or adapting the parameters are met. Such a selected spatial area RB1, RB6 (the “quiet zone” or the “information zone”) can also be spatially shifted together with a person located there within the respective living space 2, 2′, 2″, 1, 1′, 1″ become.

As a result, for example, a more or less local zone can be created in the vicinity of a person or a person belonging to a specific group of people, in which one or more specific limit values, e.g. maximum values and/or minimum values, mathematical relationships, are maintained or are complied with under the respective predetermined conditions. The at least one audio signal MS1, MS2 to be output and/or the at least one auditory message AM1, AM2, AM3 or the corresponding sound waves or sound wave patterns are then controlled or regulated in such a way that in a communication K-a, K-b, K-c, K-a' and/or with further acoustic content Al-a, Al-b, Al-c, AI-d and with an audio signal MS1, MS2 to be output and/or with the at least one auditory message AM1, AM2, AM3, which can each have variable parameters, compliance with the at least one limit value is brought about in at least one predefined spatial area RB1, . . . RB6.

For example, such a determination or adjustment of the parameters or a variant (V1, V2, ... V10) for determining the parameters of a relevant section of the audio signal MS1, MS2 and/or the at least one auditory message AM1, AM2, AM3 is chosen such that one or more said limit values or a stored mathematical relationship, in particular with regard to the sound waves or sound wave patterns, the perceptibility of which is maintained in at least one zone in which a person concerned is at least likely to be and/or in a specific room area RB1, ... RB6 become. For example, if the at least one limit value or a stored mathematical relationship is predicted to be exceeded, content with what tends to be the lowest priority level can be adjusted as a matter of priority.

For example, at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated using a mathematical relationship between a parameter (PMS1, PMS2, ...) of the audio signal MS1, MS2 to be output and an acoustic parameter corresponding (based on the section of the Audio signal MS1, MS2 generated) sound waves, or the sound wave patterns that result (immediately and after one or more reflections, etc.) in one or more specific room areas RB1, ... RB6 of the respective living space, in particular implicitly, to determine and to consider. Such a mathematical relationship can be based on an acoustic measurement of at least part of the respective living space 2, 2′, 2″, 1, 1′, 1″ and/or on the basis be determined by a (calculable executable) acoustic simulation.

The values of acoustic parameters in the relevant spatial areas RB1, ... RB6 and/or in the immediate spatial vicinity of certain people can be measured, taking into account the signals of at least one microphone, and/or at least partially by means of a simulation, taking into account various acoustically relevant circumstances in the respective living space 2, 2', 2'', 1, 1', 1'' can be determined. In this case, at least partially calculated values can also be used as estimated values when controlling the parameters (PMS1, PMS2, ...) of the audio signal MS1, MS2 to be output and/or the parameters (PAM1, PAM2, ...) of at least one auditory message AM1, AM2, AM3 are taken into account.

• Das zumindest ein neuronales Netz DNN1, DNN2, DNNZ kann trainiert und/oder betrieben werden abhängig von einem oder mehreren ermittelten, insbesondere prädizierten Parameter (PK1, PK2, ... PK9) der besagten Kommunikation K-a, K-b, K-c, K-a' diverse Parameter (PSG1, PSG2, ...) der Textgenerierung, der Sprachgenerierung, der Melodiegenerierung, der Bildgenerierung, der Körpersprachengenerierung, der Szenengenerierung, der Duftgenerierung, der Berührungsgenerierung, etc. zum Erzeugen der zumindest einer Kommunikationsbotschaft zu bestimmen oder anzupassen.

The following is a description of variant V8 with the determination of the parameters (PSG1, PSG2, ...) of a language generation:

• The at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated depending on one or more determined, in particular predicted, parameters (PK1, PK2, . . . PK9) of said communication Ka, Kb, Kc, Ka' various parameters (PSG1, PSG2, ...) of text generation, language generation, melody generation, image generation, body language generation, scene generation, scent generation, touch generation, etc. to generate the at least one communication message.

The at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated a selection of the content IAM1a, IAM1b, IAM1c for one or more phrases, determination of a main clause, subordinate clause, (certain) nested linguistic structures, choice of words, syllable generation, etc .to determine or adjust. Parameters (PSG1, PSG2, . . . ) relating to the output language or the output dialect of a section of the communication message AM1, AM2, AM3 can also be determined or adjusted.

Furthermore, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to determine or adapt the level of detail of one or more communication messages MS1, MS2, ... AM1, AM2, AM3 ..., in particular including voice messages. For example, individual priority measures for individual content to be transmitted can be explicitly or implicitly taken into account. For example, a portion of the content, the tone, undertone, a facial expression, gesture, pose of the virtual personality, and/or certain aspects of a content to be transmitted with the voice message (the communication message represented by an auditory message) can be determined or adjusted.

The at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated depending on one or more parameters of speech generation (PSG1, PSG2, ...), in particular almost in real time, or during generation of a phrase, a sentence from one or more determined parameters (PK1, PK2, ... PK9) and/or predicted parameters (PK1'', PK2'', ... PK9'') of the communication K-a, K-b, K-c, K-a' in the environment of the respective user device AG2, AG2′, AG2″ or AG1, AG1′, AG1″ in the respective living space 2, 2′, 2″ or 1, 1′, 1″, in particular dynamically or with foresight , to determine or adjust. These can thus be controlled (e.g. almost in real time).

• - Morphologische Parameter (z.B. betreffend Bestandteile einer Sprache (Morpheme), deren Kombination, Verhältnis zueinander, etc.);
• - Syntaktische Parameter (z.B. zur Form und der Struktur von Wortkombinationen, Satzgrammatik);
• - Lexikologische Parameter (z.B. betreffend Wortwahl);
• - Semantische Parameter (z.B. die Bedeutung von Wörtern in Bezug auf erkannte Gegebenheiten);
• - Satzsemantische Parameter (z.B. betreffend logische Bedeutung von Sätzen);
• - Textsemantische Parameter (z.B. betreffend Bezüge auf erkannte Gegebenheiten, und/oder auf einen Parameter PS1, ... PS8 einer erkannten oder prädizierten Szene S1, ... S8 in dem jeweiligen Wohnraum).

This can take place depending on any selection of the first parameters and/or second parameters. A significantly improved adaptive adaptation of an auditory message AM1, AM2, AM3 comprising speech can thus be achieved. In this example, the following parameters (PSG1, PSG2, ...) are determined or adjusted in relation to the at least one auditory message AM1, AM2, AM3 to be generated:

• - Morphological parameters (e.g. concerning parts of a language (morphemes), their combination, relationship to each other, etc.);
• - Syntactic parameters (e.g. on the form and structure of word combinations, sentence grammar);
• - Lexicological parameters (e.g. regarding choice of words);
• - Semantic parameters (eg the meaning of words in relation to recognized circumstances);
• - Sentence semantic parameters (eg concerning logical meaning of sentences);
• - Text-semantic parameters (eg relating to references to recognized circumstances and/or to a parameter PS1, ... PS8 of a recognized or predicted scene S1, ... S8 in the respective living space).

This is followed by a description of variant V9 with an effect or to increase the effect or perceptibility of the communication message, e.g. the effect as funny or pointed.

The method may include creating, associating and/or merging at least two parts (sections or content) belonging to different conceptual, linguistic, phonetic or visual frames of reference, contexts, categories, etc... For example, at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to generate, assign and/or merge at least two parts (sections or content) that lead to different conceptual, linguistic, phonetic or visual frames of reference, contexts , categories, etc...

This can be done in relation to two parts of the at least one communication message, two communication messages or a part of the communication message and a part of the scene, the context, the media content on or in the environment of the second user device.

The at least two parts can be generated, assigned and/or combined in one communication message MS1, MS2, ... AM1, AM2, AM3, ... or in at least two consecutive communication messages MS1, MS2, ... AM1, AM2, AM3, ... take place. Alternatively or additionally, the generation, assignment and/or merging can take place in such a way that one of said parts is a part of the communication messages MS1, MS2, ... AM1, AM2, AM3, ... which is associated with a part of a in the same time interval part (section or content) determined in the vicinity of the user device AG2, AG2', AG2'' or in the living space 2, 2', 2'', e.g. or another media content MI1, MI2, ... to be output, belonging to different conceptual, linguistic, phonetic or visual frames of reference, context, category, etc.

For example, one of said parts can be generated as a part of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., where the conceptual, linguistic, phonetic or visual frame of reference, contexts, categories, etc. of the part is determined or adjusted in such a way that it has at least a certain difference, in particular as great a difference as possible, in particular at least a degree of dissimilarity, incompatibility, contrast from the respective frames of reference, contexts, categories, etc. to another part. For example, a communication message MS1, MS2, ... AM1, AM2, AM3, ... can be generated, which in itself, together with another communication message MS1', MS2', ... AM1', AM2', AM3' , (PS1, ...PS8) of the scene S1, ...S8 (in the vicinity of the corresponding user device or within the corresponding living space, and/or the (second) communication K2-a, K2-b, K2c, K2a' meets a criterion for perceptibility as (particularly) funny, pointed or creative.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to generate the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... in such a way that at least a certain difference, in particular a Degree of dissimilarity, incompatibility, contrast of the respective frames of reference, contexts, categories, etc. of at least two parts (sections or contents perceptible by the person within a certain time interval), complied with ten will. In particular, a communication message MS1, MS2, . . . AM1, AM2, AM3, , eg a communication K2-a, K2-b, K2c, K2a' or a further media content MI1, MI2, ... to be output forms a said difference from the reference frames, contexts, categories, etc. The at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated so that two parts (generated or perceptible within the same comparatively short time interval), e.g. a part generated by means of speech generation, together with the context determined in the environment in particular parameters (PS1, ...PS8) of the scene S1, ...S8, and/or a further part, e.g. with a specific section of further media content MI1, MI2) fulfill a criterion which is used for perceptibility as funny, pointed or .is creatively characteristic.

For example, a merging of at least two parts to be output (e.g. on the user device AG2, AG2', AG2''), e.g. at least two sections of auditory or visual content AI2 or VI2 with AI2' or VI2', e.g. within a communication message MS1, MS2, ... AM1, AM2, AM3, ... or in at least two consecutive communication messages MS1, MS2, ... AM1, AM2, AM3, ... are executed, the at least two parts being different, in particular contrasting or incompatible, atypical, e.g. combined against a logic, reference frames, contexts, categories, etc. belong or are generated as part of them. For example, by determining or adjusting a parameter, generating the communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g. on the basis of an auditory or visual content AI2 'or V2' of a specific conceptual Frame of reference, context, category belong, depending on another auditory or visual content AI2 or VI2 or on another part of a media content MI1 that prevails in the same time interval in the environment of the second user device AG2, AG2', AG2'' or further media content MI1 that is to be output, MI2,... which belongs to another conceptual frame of reference, context, category, etc. that differs from, in particular contrasts with, the frame of reference, context, category, etc.

Alternatively or additionally, at least one (or both) of said parts (sections or content) can be determined or adjusted in such a way that they are phonetically similar or rhyme and/or trigger an acoustic or visual perception that has at least one common or associated or associable feature to an auditory part, in particular to the phonetic part. For example, a word joke or Calembour can be generated with the communication message, e.g. with the auditory message MS2, MS2, ... AM1, AM2, AM3, ....

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated such that a section or content AI2 or VI2 (to be output) and another section or content AI2' or VI2' (to be output) are selected in such a way , generated or at least one section of each content (AI2, VI2 with AI2', VI2') brought together (e.g. brought together in a specific sequence, integrated) in such a way that they have at least a certain phonetic, linguistic similarity.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated, the at least one communication message MS2, MS2, ... AM1, AM2, AM3, ... based on a first part AI2 or VI2 and the second Part AI2', or VI2' are generated, which lead to phonetically similar-sounding and/or rhyming syllables, words, sentence structures, the syllables, words, sentence structures belonging to different frames of reference, contexts, categories.

At least one neural network DNN1, DNN2, DNNZ is particularly preferably trained and/or operated in such a way that at least two parts to be output are selected, generated and/or combined, which belong to contrasting reference frames, contexts, categories, etc., AND at least have some visual or phonetic similarity, rhyme and/or association with each other. The similarity, rhyme and/or associability can relate, for example, to syllables, words, sentence structures, objects, contents AI2, VI2 or AI2', VI2'.

For example, at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated, an assignment, merging, in particular combining (mixing, integrating, subjecting to an automatic audio or video cut) of parts that, for example, terms, images, objects, ideas or to carry out ideas that (e.g. according to content, semantic, phonetic features) each belong to different conceptual frames of reference, contexts, categories, etc..., e.g. originate from these and/or can be associated with them, and at the same time phonetically similar sounding and/or or rhyming syllables, words, sentence structures. The at least one of the at least two parts (Sections or content) can preferably be generated by means of text generation, language generation, image generation, video generation, body language generation (e.g. facial expression generation and/or gesture generation), scene generation, generation of tactile, gustatory or olfactory stimuli controlled or executed by the neural network DNN1, DNN2, DNNZ , etc. (e.g. determining or adjusting one or more parameters of the respective stimulus). In particular, this can be done in such a way that (preferably by means of the at least one appropriately trained and/or operated neural network) a (resulting) difference, in particular a degree of dissimilarity, a contrast between the conceptual frames of reference, contexts, categories, etc. increases, in particular change towards a certain target value.

For example, it can be a matter of frames of reference, contexts, categories, etc. that are essentially, the same, analogous or similar to the frames of reference, contexts, categories, etc. known, e.g. from linguistics, everyday life, real human communications, literature, etc .are known, defined or identified. A (e.g. statistical) occurrence of certain auditory or visual content in human everyday life, works of art, films, literature, in particular in several (first or second) communications K-a, K-b, K-c, K-a', media content MI1, MI2, in different ( conceptual) frames of reference, contexts, categories, etc. can be considered as a criterion for frames of reference, contexts, categories, etc. of the corresponding content.

In particular, the method includes an evaluation of different contents to be output with regard to their reference frames, contexts, categories, etc. A membership of the at least two parts to (respective, different) reference frames, contexts, categories, etc. can be determined according to a predetermined or in the process determined or learned association rule determined, and / or determined or adjusted.

Preferably, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to determine whether the parts (sections or contents) belong to specific reference frames, contexts, categories, etc... AND/OR the generation, assignment , merging at least two parts (sections, contents) from different conceptual, linguistic, phonetic or visual frames of reference, contexts, categories, etc... depending on the one or more first parameters (PK1, PK2, ... PK9) of Communication K-a, K-b, K-c, K-a', a reaction (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) , in particular relating to several first user devices AG1, AG1', AG1'' or first living rooms 1, 1', 1'', first person P1, P1', P1'' to be carried out or to cause.

The generation of jokes, punch lines and/or creative outputs, which comprise at least two parts (sections or content), depending on, in particular, comparatively current and/or relevant first parameters (PK1, PK2, ... PK9), ( PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) be executable. One or more parameters of the at least one communication message MS1, MS2, ... AM1, AM2, AM3 is particularly preferably determined or adjusted in such a way that part of the communication message, taking into account the second parameter and/or in the context of part of the further media content to be output as can be perceived as funny, pointed or creative.

A creative output can be characterized, for example, by a (produced in the process), particularly semantic, phonetic, visual, pronounced intuition and/or improvisation.

For example, the latter can be sought using a (corresponding, suitably chosen) predetermined criterion.

It can be a variety of emotions, so to speak, that are stimulated by the comparatively current or relevant first parameters, dependent or inspired by the current parameter of said communication, said reaction, state, mindset, emotions of a large number of the first persons P1, P2′, P1″ "Fresh" jokes, punchlines and/or creative communication messages MS1, MS2, ... AM1, AM2, AM3 or combinations are generated (also to be understood in particular: generated by adapting the specification of the one or more first persons).

For example, a communication message MS1, MS2, . . . AM1, AM2, AM3, ' (e.g. the output data corresponding to them) are generated, the content AI2, VI2 (e.g. the output data corresponding to them) and the content A2, V2 (e.g. the output data corresponding to them) consisting of at least two (usually not each other by typical terms , pictures or presentations Lungs corresponding, assigned, compatible) levels (contextual levels), verbal and / or visual association networks are determined, in particular selected and / or generated.

For example, part of the sections or contents AI2, VI2 to be output and/or another part of the sections or contents AI2', VI2' to be output, in particular the corresponding data sections, can be determined, in particular selected, depending on a plurality of first parameter sets from different first living spaces and/or from data sections that are each assigned or associated with different frames of reference, contexts, categories, etc. In particular, at least part of the output data AI2, VI2 and/or another part of the output data AI2', VI2' and/or a combination of the first data and the second data can be at least partially (also) dependent on a random variable, e.g. dependent on a , In particular excited or non-excited random number generator controlled. Alternatively or additionally, part of the communication message MS1, MS2, ... AM1, AM2, AM3, ... can be selected with a user device AG2, AG2', AG2'' in such a way, e.g belongs to such reference frames, contexts, categories, etc., which belong to a determined reference frame, contexts, categories, etc. of another part that can be perceived in the environment of the user device or in the living space, e.g. a section of the communication K2-a, K2-b , K2-c, K2-a' and/or a section of media content to be output MI1, MI2... at least a certain difference, in particular at least a certain degree of dissimilarity, incompatibility, contrast from the respective frames of reference, contexts, categories, etc. having.

For example, the at least one (resulting) communication message MS1, MS2, ... AM1, AM2, AM3, per se and/or together with another one (in the vicinity of the corresponding user device AG2, AG2', AG2'' or within the corresponding living space 2, 2', 2'') recognized or predicted context (for example the parameter PS1, ... PS8 of the scene S1, ... S8), and/or communication K2-a, K2-b, K2-c , K2-a') fulfill a predetermined criterion for perceptibility as (particularly) funny, pointed or creative. A joke, a punch line or a creative output can be formed in the environment of the second user device, in particular depending on the one or more first parameters and/or together with a section or content. This can also take place without the underlying content AI2, AI2 or VI2′, VI2′ to be output being perceptible as funny, pointed or creative or meeting a corresponding criterion.

A target, target value or the optimization criterion (OK1, OK2, OK3, ...) specified when generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can have an effect, in particular an effect relate to a specific person or person belonging to a specific group of people as a joke, punchline, creative issue. A corresponding (desired) effect on the at least one perceiving person or the desired reaction of the person can be e.g. laughter, a microexpression, which e.g. (typically or for the specific person or person from a specific group of people) in response to people generated jokes, punchlines, or creative content is inherent.

For example, a specific effect on the at least one perceiving person or a reaction of the at least one perceiving person (laughter, happiness, ecstasy, increased openness to communication) can be used as a target value, in particular as a mathematically characterized target variable, of a learning process based on the first parameters and/or second parameters apply. In other words, the method can be set up in such a way that communication messages MS1, MS2, ... AM1, AM2, AM3, ... are generated in such a way that at least one specific person or person belonging to a specific group of people makes you laugh or smile, so to speak. is encouraged to have fun. For example, as a target value for the corresponding effect, a physical agitation or micro-expression can be aimed for, which corresponds, for example, to a sincere laugh or a happy, delighted state of the perceiving person.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated (in the manner described or in a different manner or according to one or more features described above) to deliver a creative, pointed, funny or comical communication message generate. At least a first part and/or a second part of a joke, a punchline or a creative output can, depending on the one or more first parameters (PK1, PK2, ... PK9) or (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) can be determined or adjusted.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated parts (sections or content) for generating the at least one communication bot schaft MS1, MS2, ... AM1, AM2, AM3, ... depending on the one or more first parameters from one or more first user devices AG1, AG1', AG1'', living rooms 1, 1', 1'' or to choose from the first persons P1, P1', P1'' who have at least some difference, in particular at least some degree of dissimilarity, incompatibility, contrast to a frame of reference, contexts, category, etc. associated with one in the environment of the second user device AG2, AG2′, AG2″, or in the second living space 2, 2′, 2″, form the part (section or content) determined or predicted. In other words, parts and/or connections between the parts for generating a communication message MS1, MS2, ... AM1, AM2, AM3, ... on a second user device AG2, AG2', AG2'' or within the second living space , depending on the first parameters or first sections from the environments of the one or more first user devices AG1, AG1′, AG1″, or living spaces 1, 1′, 1″ are selected or determined.

For example, these can be selected, combined or merged in such a way that a predetermined criterion, e.g. for perceptibility as funny, pointed or creative, is fulfilled or an effect as funny, pointed or creative is increased, in particular optimized.

In particular, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated so that the parts that differ from a specific one occurring in the history, e.g. in a specific context and/or logic that is typical (usual) for a specific person or person from a specific group of people and/or defined as rational according to a predetermined criterion, in particular at least a certain degree of dissimilarity, incompatibility, contrast from the respective frames of reference, contexts, categories, form etc.

For example, in order to avoid or deviate from the stored, e.g. mathematically mapped, statistically frequent and/or in the case of a large number of the first user devices AG1, AG1', AG1'', living spaces 1, 1', 1'' or communications K1 -a, K1-b, K1-c, K1-a', characterize reactions of the at least one first person P1, P1', P1'' occurring contexts. These connections, in particular the learning data already described, can relate, for example, to language, body language, reactions, emotions.

For example, predetermined, frequently occurring combinations and/or combinations of parts or relationships between parts determined from a large number of first user devices AG1, AG1', AG1' or living spaces 1, 1', 1'' can be at least predominantly avoided and/or be changed according to a predetermined dependency and/or at least partly according to a random principle. The change can be controlled in such a way that at least some degree of dissimilarity, incompatibility, contrast of the respective frames, contexts, categories, etc. is formed. In particular, the connections stored in an association specification that typically, e.g. Contexts, categories belonging to one another are at least preferably combined (within a comparatively short time interval) to generate the auditory output.

For example, the method or the corresponding user device AG1, AG1′, AG1″ can have at least one specific mode in which a joke, punchline or creative content is sought or is generated. Such a mode can also be at least partially activated, switched off and/or at least partially qualitatively or quantitatively adjustable or dynamically controllable. Alternatively or additionally, a joke, punchline and/or creative output can be generated at least predominantly when it is determined that a further part AI2' or A2I' is available for a part AI2 or VI2, its occurrence is predicted, can be determined or ( e.g. by means of language generation) can be generated in such a way that at least a certain difference, in particular contrast, of the corresponding frames of reference, contexts, categories exists or can be generated AND/OR there is a phonetic or visual similarity, rhyme and/or associability of the at least two parts or can be generated.

For example, the method may include: detecting, depending on the current or predicted context, scene, another media content, an opportunity to form a joke, punchline, or creative content. The communication message MS1, MS2, ... AM1, AM2, AM3, ... can then be generated, the communication message MS1, MS2, ... AM1, AM2, AM3, ... alone or in the determined or predicted context leads to a joke, punch line or creative content. Preferred the communication messages MS1, MS2, . . . AM1, AM2, AM3, .

As a punchline, a surprising (not a typical, statistical or mathematically stored) turn of a meaning of a part of the communication message MS1, MS2, ... AM1, AM2, AM3, ... (alone or in the current or predicted context in the environment of the user device). As a criterion for the effect as pointed, e.g. the presence of a (normally not expected or not immediately logically following, in particular contrasting to a stored logic) turn or a recognition of meaningful connections between sections or contents that do not match the frames of reference, concepts, categories, etc. to which the at least two parts each belong. Furthermore, e.g. in an analogous manner, at least two parts (sections or contents) can be generated, assigned and/or combined in such a way that a change in a (e.g. dramatic) action or action strand of the at least one communication message MS1, MS2 , ... AM1, AM2, AM3, ... comprehensive media content can be generated.

• Im Verfahren kann ein visuell wahrnehmbarer Teil (insbesondere ein Abschnitt und/oder Inhalt) der zumindest einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... verändert werden. Beispielsweise kann das zumindest ein neuronales Netz DNN1, DNN2, DNNZ trainiert und/oder betrieben werden einen Parameter eines mit der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... auszugebender Videoinhalts VI1, VI2, z.B. einer Videosequenz, eines Films, einer TV-Sendung oder eines Videostreams zu bestimmen oder anzupassen. Dabei kann es sich um einen visuell wahrnehmbaren (bzw. darzustellenden) Inhalt handeln, der zu einem Abschnitt des Audiosignals MS1, MS2 gehört, abhängig oder unabhängig von einem weiteren z.B. auditiven Inhalt ist. Es kann ein Bestimmen oder Anpassen eines Parameters (PVI1, PVI2, ...) zumindest eines visuell wahrnehmbaren Teils der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... an einem zweiten Anwendergerät AG2, AG2', AG2'', abhängig von dem einen oder mehreren ersten Parameter (PK1, PK2, ... PK9) der Kommunikation K-a, K-b, K-c, K-a', ... und/oder von dem einen oder mehreren ersten Parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) einer Reaktion der einen oder mehrerer ersten Person P2, P2', P2'' im Zusammenhang mit einer Kommunikation K-a, K-b, K-c, K-a' und/oder auf einen Mediainhalt MI1, MI2, .... ausgeführt werden. Insbesondere kann der ein oder mehrere Parameter der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... kennzeichnen, welche Teile (Abschnitte bzw. Inhalte) eines am bzw. in der Umgebung des zweiten Anwendergeräts AG2, AG2', AG2'' bzw. in dem zweiten Wohnraum 2, 2', 2'' auszugebenden Multimediaprogramms entfernt (z.B. ausgelassen), ersetzt bzw. auf eine bestimmte Art und Weise verändert werden sollen. Beispielsweise kann im Verfahren ein Parameter einer Videobildausgabe verändert, insbesondere bestimmt oder angepasst werden. In einem vereinfachten Fall kann ein Parameter (PV1, PVI2, ...), z.B. ein Zeitparameter (PVI2), eines auszugebenden Videoinhalts VI1, VI2 auf dieselbe, analoge oder nach einem vorausbestimmten Kriterium zusammenhängender Weise gesteuert werden wie der Zeitparameter (PAV2) eines mit dem Videoinhalt VI1, VI2 korrespondierenden Audiosignals MS1, MS2.

Description of variant V10 with customization of part of media content follows:

• A visually perceptible part (in particular a section and/or content) of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . . . can be changed in the method. For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated a parameter of a video content VI1, VI2, e.g. a video sequence, to be output with the communication message MS1, MS2, ... AM1, AM2, AM3, ... of a movie, TV show, or video stream. This can be visually perceptible (or to be displayed) content that belongs to a section of the audio signal MS1, MS2, is dependent on or independent of another, for example, auditory content. A parameter (PVI1, PVI2, ...) of at least a visually perceptible part of the communication message MS1, MS2, ... AM1, AM2, AM3, ... can be determined or adjusted on a second user device AG2, AG2', AG2 '', depending on the one or more first parameters (PK1, PK2, ... PK9) of the communication Ka, Kb, Kc, K-a', ... and/or on the one or more first parameters (PRK1- a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) of a reaction of the one or more first persons P2, P2', P2'' im Connection with a communication Ka, Kb, Kc, Ka 'and / or on a media content MI1, MI2, .... are executed. In particular, the one or more parameters of the communication message MS1, MS2, . . . AM1, AM2, AM3, . AG2'' or in the second living room 2, 2', 2'' removed (eg left out) the multimedia program to be output, replaced or changed in a certain way. For example, a parameter of a video image output can be changed, in particular determined or adjusted, in the method. In a simplified case, a parameter (PV1, PVI2, ...), e.g. a time parameter (PVI2), of a video content VI1, VI2 to be output can be controlled in the same manner as the time parameter (PAV2) of a audio signal MS1, MS2 corresponding to the video content VI1, VI2.

For example, a parameter of the communication message MS1, MS2, ... AM1, AM2, AM3, ... an instruction or a sequence of instructions for generating the communication message MS1, MS2, ... AM1, AM2, AM3, ... from specific (to be output, outputtable) sections or contents AI2, AI2', or VI2, VI2''. For example, an image or video sequence of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, or be adjusted. For example, an image content or a visually perceptible object or an action of the communication message MS1, MS2, ... AM1, AM2, AM3, ... depending on the determined parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3) generated, in particular synthesized. One or more such parameters of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can, for example, be characteristic of a selection, features, actions of one or more visually perceptible objects.

In other words, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated a presence, a selection, an omission, a feature of one or more visually perceptible objects of the at least one communication message MS1, MS2, ... AM1, AM2, AM3 to determine or adjust. For example, determining or adjusting a parameter of a visually perceptible part of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... depending on the one or more first parameters (PK1, PK2, ... PK9) of the communication Ka, Kb, Kc, K -a', ... and/or from the one or more first parameters (PRMI-a, PRMI-b, PRMI-c ...) of the reaction of the one or more first persons P2, P2', P2'' the media content MI1, MI2, .... take place.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to determine or adjust parameters of other content IAS1, IAS2 or information that e.g (e.g. to control dynamically). This can be done in such a way that a (e.g. the target or target value) corresponding perceptual congruence and/or priming between the communication message MS1, MS2, ... AM1, AM2, AM3, ... and a second media content, scene, context, etc .is stimulated or effected. In other words, e.g. an audio content and an image content or image sequence of a film or a video sequence in the process (if appropriate) together or separately, in particular differently, according to about fundamentally different variants (V1, V2, ... V10) or according to different optimization criteria (OK1, OK2, OK3, ...) are determined or adjusted, in particular each treated separately.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated depending on one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' in the respective living space 2, 2', 2'', or 1, 1', 1'', in particular taking into account other determined or predicted content AI-a, AI-b, AI-c, AI-d that can be heard in the living room, a planning, distribution or . Redistribution (“sorting”) of several sections of the auditory messages AM1, AM2, AM3 and/or one or more multimedia signals MS1, MS2 or sections of one or more multimedia signals MS1, MS2 to be output and/or others within the living space (audible, existing ) acoustic content AI-a, AI-b, AL-c, AI-d, e.g. sound emissions, on (two or more at least partially different) spatial areas RB1, ... RB6 and (two or more at least partially different) time intervals (t1 - t2, t1'-t2') to be executed or caused. For example, at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated planning, distributing or redistributing (sorting) the audible content (which can be output using technical means) or the sections of the content according to spatial regions RB1, . .. RB6 (“in space”) and/or according to time intervals (“in time”), depending on a respective content, receiver and/or at least one predetermined condition to be executed or controlled.

As a result, a large number of diverse sections (e.g. data sections that correspond to the sections of a multimedia signal MS1, MS2 to be output and/or the at least one auditory message AM1, AM2, AM3) can be determined, for example on the basis of a received or read-in (multimedia, infotainment -) program and/or from a large number of diverse contributions, news on various topics, interviews, entertainment contributions, factual content of various kinds, consumer information, and as an appropriate temporal sequence and/or an appropriate spatial distribution. A resulting sequence can preferably be a uniform program or be perceptible as such. See also the description of "audio or video editing". Said sequence can then be determined and output according to one or more optimization criteria (OC1, OC2, OC3, ...).

The respective separation and/or joining of the sections preferably takes place at the suitable points determined in particular in the process. For example, a news presenter's voice may be interrupted at one point and/or output at one point and/or merged with another section that corresponds, for example, to a transition between two different topics or content. For example, the aforesaid suitable points can be determined, which in each case match at least two more or less to the topic criteria that were determined or selected depending on the (one or more first or the broad) communication K-a, K-b, K-c, K-a'.

For example, a section of the audio signal MS1, MS2 or a video signal can also be removed from a program (read in, received, output), e.g. broadcast, article, film, sporting event, etc., skipped, or replaced by additional content . At least two sections can also be determined, which (also) are output at least partially in the same time interval, for example from at least two different sound sources (placed in the respective living space 2, 2', 2'', 1, 1', 1''). can or should. Such sections can then be output at least partially in the same time interval (suitable for both sections) or at least partially in parallel or overlapping in time.

In this example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to control formation of the sequence from the determined sections adaptively, dynamically depending on the information read, recorded, determined in the method. The sequence is preferably formed from the several determined sections in such a way that a context reference and/or reference to a recognized scene S1, ... S8 or a parameter of the scene Ps1, ... PS2 to at least one recognized or predicted parameter of the Communication Ka, Kb, Kc, Ka' in the respective living space 2, 2', 2'', 1, 1', 1'' is increased or achieved. The contextual reference or reference to parameters can be a reference to one or more association connections determined, stored, preferred or expedient in the method. In this case, for example on the basis of the same or available initial data or access options to content, in each case suitably formed (here also in the literal sense tailored or cut) media content or multimedia program, for example in each case for different living rooms 2, 2', 2'', 1, 1′, 1″ or persons or families of different media content or multimedia programs are generated.

The evaluation, in particular the interpretation or further processing of the at least one voice input SE1, SE2 in a (only optionally provided) voice control application SSA1, SSA2 and/or the execution of the at least one voice command SB1, SB2 for the voice control application SSA1, SSA2 and/or at least the answering a question FR1, FR2 to the voice control application SSA1, SSA2 can, depending on the at least one determined or predicted parameter (PK1, PK2, ... PK9) of the (one or more first and/or the second) communication K-a, K-b, K-c, K-a' and/or taking into account one or more parameters of a scene (PS1, PS2, ...) recorded in the respective living space 2, 2', 2'' 1, 1', 1''. Preferably, the evaluation can (also) be dependent on a physical impulse (PBL1, PBL2, ...) or a recognized parameter of the body language (PBL1', PBL2', ...) of the at least one person involved in the communication K-a, K-b, K-c , K-a' person involved and/or a person from whom the at least one voice input SE1, SE2, at least one voice command SB1, SB2, and/or the at least one question FR1, FR2 originates.

The method or the corresponding steps of the method can be carried out for several second user devices AG2, AG2', AG2'', living rooms 2, 2', 2'', persons P2, P2', P2'', the respective parameters ( PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the respective at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... are determined or adapted differently. For different second user devices AG2, AG2', AG2'', living rooms 2, 2', 2'', people P2, P2', P2'', different goals, target areas, effects to be achieved (on the people P2, P2 ', P2'') or reactions of the persons P2, P2', P2'',... to be stimulated can be selected.

For different second user devices AG2, AG2', AG2'', living rooms 2, 2', 2'', people P2, P2', P2'', the parameters can be determined or adapted differently, e.g. different variants (V1, .. .V10) of determining or adjusting the parameters. For example, different communication messages MS1, MS2, .. AM1, AM2, AM3, ..., in particular different programs (audio programs, films with different film sections, actions, scenes, dramaturgical twists, punchlines, shows based on a computer simulation, etc.). This can be done in particular when the respective different communication messages MS1, MS2, . . . AM1, AM2, AM3, . This can be done on the basis of the same set of contents AV2, AV2', . . . or VI2, VI2' to be output.

A parameter to be determined or adapted (PMS1, PMS2, ..., PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3, ... can be characteristic of the Decision, a communication message (within a specific second living space 2, 2', 2'' or on a user device AG1, AG2, SSA1, SSA2, ..., or for a specific second person P2, P2', P2'' ) output, or one of at least two different communication messages or parts (sections or content) for at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... select. The decision can (also) be a negative decision, e.g. decision to output a communication message or a specific communication message MS1, MS2, ... AM1, AM2, AM3, ... versus no communication message MS1, MS2, ... AM1, AM2, AM3, ... output, or omit certain parts, generate them in a different order, or integrate them with a different part of another multimedia signal.

A parameter to be determined or adapted (PMS1, PMS2, ..., PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3, ... be indicative of which of at at least two different types of communication message MS1, MS2, . . . AM1, AM2, AM3, . A priority measure assigned to it can be regarded as a parameter (to be determined or adapted) of the at least one communication message MS1, MS2, AM1, AM2, AM3, . . . Such a priority measure can, for example, be provided with a specific “voice priority measure” or “participation priority measure” and/or with an “importance” and/or “urgency” and/or “to be issued by time ... or event ...”. become. A sequence in which a corresponding section of the communication message can be generated (in particular also in comparison to further content). In this case, a point in time or a time interval for the output does not have to be determined or not necessarily (explicitly).

Furthermore, on the basis of the parameters determined in the method, a communication message MS1, MS2, ... AM1, AM2, AM3, ... can be generated which has a specific reaction, e.g. a specific intensity or type of reaction (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', or PRMI-a, PRMI-b, PRMI-c ...), in particular for a specific person or for a person belonging to a specific group of people, causes. In one example, depending on one or more first parameters (PRK-a, PRK-b, PRK-c, PRK-a') or (PRMI-a, PRMI-b, PRMI-c), the one or more first Reactions of at least one person within the one or more first living spaces 1, 1', 1'' (to certain sections K-a, K-b, K-c, K-a'... of the communication or MI-a, MI-b, MI- c ... the media content MI1, MI2, in particular to the first information output there), one or more parameters (PMS1, PMS2, ..., PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, AM1, AM2, AM3, ..., are determined or adjusted, with a second reaction from a second person, a specific reaction or a reaction with a specific parameter, in particular the reaction of a specific second person or a person belonging to a specific (second) Group of people within the second living space 2, 2 ', 2' 'is caused.

In a further example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated a second reaction, in particular a parameter of the second reaction of at least one second person, in particular a specific person or a person belonging to a specific group of people within the second living space 2, 2', 2'', to a specific communication message MS1, MS2, ... AM1, AM2, AM3, ... to predict. For example, a parameter of the communication message MS1, MS2, . . . AM1, AM2, AM3, to evoke.

For example, a mathematical relationship between one or more first stimuli and one or more first responses to the first stimuli (in the one or more first living spaces 1, 1, 1'') can be used to determine or adjust the one or more parameters PMS1 , PMS2, ... PAM1, PAM2, PAM3, ... of a communication message MS1, MS2, ... AM1, AM2, AM3, ... are determined and taken into account. The one or more first stimuli can be a section of a communication K-a, K-b, K-c, K-a', a section MI-a, MI-b, MI-c, or a first piece of information (which itself contains a first communication message MS1, MS2 , AM1, AM2, AM3, ... or can include such) within the first living space 1, 1', 1''. With the communication message MS1, MS2, AM1, AM2, AM3, ... a specific reaction or a reaction with a specific parameter (PRK-a', PRK-b', PRK-c', PRK-a'' ) or (PRMI-a', PRMI-b', PRMI-c') in the at least one second person, e.g. stimulated, effected or changed. For example, a reaction with a parameter (PRK-a', PRK-b', PRK-c', PRK-a'') or (PRMI-a', PRMI-b', PRMI-c') within a preset or desired parameter value range (target value). For example, the one or more parameters of the communication message MS1, MS2, . . . AM1, AM2, AM3, . second) person or reaction of the at least one (second) person, in particular a certain value range of a parameter of the effect or reaction is maintained.

The at least one parameter (PMS1, PMS2, ..., PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, AM1, AM2, AM3, ..., can also indicate that at least one in the second living space 2, 2', 2'' to be generated communication message MS1, MS2, ... AM1, AM2, AM3, ... or a communication message MS1, MS2, ... AM1, AM2, AM3, ... with specific parameters, e.g a communication message MS1, MS2, ... AM1, AM2, AM3, ... of a specific type is to be selected, avoided, suppressed, shifted in time or brought forward in time. A time parameter (PMS2) for outputting at least a section of the additional audio signal to be output can also be a function of the parameter or parameters one or more (to be generated) communication messages MS1, MS2, AM1, AM2, AM3, ..., and / or from the one or more parameters (PK1, PK2, ... PK9) of the communication and / or parameters of the reaction at least one person in the one or more first living spaces 1, 1′, 1″ can be determined or adjusted. This can be done in such a way that the result is a perceptual congruence (e.g. the target or target value), processing, in particular interpretation by the second person and/or priming between the communication message MS1, MS2, ... AM1, AM2, AM3, .. and a second media content, scene, context, etc. is stimulated or caused or not disturbed.

Supporting the at least partially virtual communication KB12, ..., KB21, ... or generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, with the at least one (determined or adapted in the method) Parameters (PMSPMS1, PMS2, ... PAM1, PAM2, PAM3, ...) can be set by controlling a computing unit AAV-SSA1, AAV-SSA2 in the second living space 2, 2', 2'' or controlling the (second) User device AG1, AG2, or activation of the arithmetic unit R2 arranged at a distance. The activation can take place directly or indirectly as a function of (in particular also to be understood by) the neural network DNN1, DNN2, DNNZ. Depending on the one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a', ... within the one or more first living spaces 1, 1', 1', the actuation can ' and/or the one or more parameters (PRMI-a, PRMI-b, PRMI-c...) of the reaction of the at least one person to the media content MI1, MI2,... within the one or more stationary living space 1 , 1', 1'', and/or depending on the one or more parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) a reaction of the at least one person in connection with a communication K-a, K-b, K-c, K-a' within the one or more first living spaces 1, 1', 1'' and/or to media content MI1, MI2, .. .take place within the one or more first stationary living spaces 1, 1', 1''.

The determination or adjustment of one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3,
may be substantially automated, performed as one or more computer-implemented steps. No human involvement, eg (other) people, is necessary. The one or more parameters (PMS1, PAS2, ... PAM1, PAM2, PAM3, ...) of the at least one auditory output AS1, AS2, ... AM1, AM2, AM3 are determined in a predetermined mathematical dependency (according to the at least a mathematical relationship). A (manual) participation by other people (as well as the perception of the content from the first or second living room by people outside of these living rooms, e.g. by third parties) can be (technically) significantly restricted or excluded in the process. See also the description of the mathematical relationship.

At least two different optimization criteria (e.g. related to different goals) OK1, OK2, OK3, ... can be taken into account in the method. One or more optimization criteria (OK1, OK2, OK3, ...) can be at least partially or essentially automatically and/or be determined at least partially or essentially as a function of settings or operator actions (e.g. the one or more first persons and/or one or more second persons). For example, one or more first optimization criteria (OK1, OK2, OK3, ...) of one or more first persons P1, P1', P1'' and/or one or more second optimization criteria (OK1, OK2, OK3, ...) one or more second persons P2, P2', P2'' and/or one or more operator optimization criteria (OK1, OK2, OK3), e.g. of the operator of the method or the system, are determined and/or taken into account.

• - Arrangieren zumindest einer Kommunikation KB12, ... KB21, ... zwischen einer oder mehreren ersten Personen P1, P1', P1'' und einer oder mehreren zweiten Personen P2, P2', P2''; und/oder
• - Unterstützen der einer oder mehreren ersten Personen (P1, P1', P1'') beim Erzeugen einer Kommunikationsbotschaft KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1'2', KB1''2' an eine oder mehrere zweite Personen P2, P2', P2''; und/oder
• - Erzeugen einer Unterstützungsinformation UI21, UI2'1, UI2''1, ..., UI21', UI21'', ... U12'1', UI2''1''; und/oder
• - Erzeugen eines Feedbacks FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' an die eine oder mehrere erste Personen P1, P1', P1''); und/oder
• - Unterstützen virtueller (z.B. mittels eines oder mehrerer Avatare AV1, AV1', AV1'' bzw. AV2, AV2', AV2'' ausführbaren) Begegnungen, Handlungen und/oder Interaktionen in einem virtuellen Raum VR.

The one or more optimization criteria OK1, OK2, OK3, ... relate in particular to supporting the at least partially virtual communication KB12, ... KB21, ..., in particular to one or more aspects of:

• - arranging at least one communication KB12, ... KB21, ... between one or more first persons P1, P1', P1'' and one or more second persons P2, P2', P2''; and or
• - Supporting the one or more first persons (P1, P1', P1'') in generating a communication message KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1'2',KB1''2' to one or more second persons P2, P2', P2''; and or
• - generating support information UI21, UI2'1, UI2''1, ..., UI21', UI21'', ... U12'1', UI2''1''; and or
• - Generation of feedback FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'' to the one or more first persons P1, P1 ',P1''); and or
• Supporting virtual encounters, actions and/or interactions in a virtual space VR (which can be carried out, for example, by means of one or more avatars AV1, AV1′, AV1″ or AV2, AV2′, AV2″).

Optionally, the method includes storage, in particular intermediate storage and/or provision of specific data associated with said communication K-a, K-b, K-c, K-a', e.g. specific features, sections, or fragments of said communication K-a, K-b, K-c, K-a '. This data can also identify relevant sound waves or the content transmitted with the sound waves. This can be further processed data, with the storage, for example the selection of a section to be stored, depending on one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a 'and / or of at least one parameter (PS1, PS2,...) of a scene S1,...S8, parameters (PE1, PE2,...) of the emotion, parameters (PA1, PA2), of the intention, etc.

Depending on the parameters determined in the method or data dependent on these and/or depending on the at least one trained neural network, other functionalities can be provided as an alternative or in addition. This can (alternatively or in addition to a communication message) refer to a media output.

For example, a media output can be generated or one or more parameters of a media output can be determined or adjusted. The media output can (selectively) have one or more features of the communication message described in the present document. However, this can differ from communication and/or, in particular, be independent of certain persons. The at least one media output does not have to convey any content from one or more first persons and/or not correspond to any specifications of other persons. Rather, this can be predominantly or entirely (in terms of content or causality) independent of the first parameter and/or predominantly dependent on second parameters or inputs from one or more second persons. This can be generated without a specification from the one or more first persons and/or with a specification from the respective second person. For example, the media output can be generated depending on or based on other content, e.g. from a media database or from various sources (e.g. from one or more Internet).

(9)=> Step with determining or evaluating an effect achieved, a measure of effect and/or reaction

A measure of effectiveness, in particular a measure of the success of the method, in particular characterizing an effect achieved, of a specific step of the method, e.g. one that has already been carried out, is currently being carried out or is being carried out, can be determined and taken into account. A measure of effectiveness can, for example, be a measure of one (of several described in this document) influence exerted on the respective second living space 2, 2', 2'' or persons located therein. The effect and/or reaction or the extent of the effect achieved or the extent of the response stimulated can relate to (e.g. short, certain or certain criteria corresponding, selected) sections of the communication message, a communication message as a whole and/or part of the communication .

The measure of effectiveness can in particular be a measure of success. The measure of effectiveness can characterize the extent to which something that can be defined as a goal or success has been achieved. This can identify a change in a state, emotion, intention, action of the at least one (second) person in the vicinity of the second user device AG2, AG2′, AG2″ or within the second living space 2, 2′, 2″. This can be, e.g. based on a physical emotion of the person or a change in the physical emotion, based on a body language expression or a change in a body language expression, a micro-expression, an action, in particular a change in an action or behavior, and/or a ( possibly short-term or long-term) change in a communication or action pattern can be determined, which in particular relates to the execution of the step of the method, e.g. to the generation of the communication message MS1, MS2, ... AM1, AM2, AM3 with a specific or adapted parameter occurs. The action can be an action towards another person, towards an object, e.g. a (further) technical device. Alternatively or additionally, it can be an action that is not or not directly directed to the system or device described here, e.g. to the user device AG1, AG2..., or not to the language assistant ASA1, SSA2, etc. Exceptionally, the at least one action can be an operator action. This can also be an operator action of the system or to influence the course of the method, or an operator action of another device (e.g. independent of the system).

The measure of effectiveness can also be used as a measure of a change in a state, eg a so-called ego state, of the at least one person in the second living space 2, 2', 2''. This can be determined, for example, from the change in a parameter of the person's communication Ka, Kb, Kc, Ka'. The change in the state of the person can, for example, be a change in their emotional state in response to the communication message, e.g. to the changed communication message MS1, MS2, ... AM1, AM2, AM3, ... e.g. with a specific or adapted parameter (PMS1, PMS2 , ... PAM1, PAM2, PAM3, ...). The change in body language expression can be a change in voice pitch, choice of words, facial expressions, gestures, pose, etc. or can be recognized by a change in voice pitch, choice of words, facial expressions, gestures, pose, etc.

A (further) measure of the effectiveness of the procedure or one or more specific steps of the procedure can be characteristic of the development of one of the influences (unilateral or mutual or multilateral in the procedure). This can, for example, indicate a propagation of a generation or a change in one or more communication messages in a number or to a number of living spaces 2, 2', 2', 1', 1', 1''.

For example, the at least one neural network DNN1, DNN2, DNNZ is trained depending on a measure of effectiveness achieved (e.g. in each case in one or more operating cycles, actions, media outputs). Alternatively or additionally, the measure of effectiveness can be used to operate the at least one neural network DNN1, DNN2, DNNZ, in particular as a corresponding actual value and/or target value.

The at least one neural network DNN1, DNN2, DNNZ can be controlled in the method (e.g. for one or more living spaces, for a specific number of living spaces or for specific devices or people) depending on the determined measure of effectiveness. One or more optimization criteria (OK1, OK2, OK3, ...), e.g. regarding a desired degree of influence, a desired change, a propagation of a (changed) communication message MS1, MS2, ... AM1, AM2, AM3, ... or the change in the communication messages MS1, MS2, ... AM1, AM2, AM3, ... are taken into account.

When determining, in particular estimating, the degree of effectiveness, known, assumed or estimated properties of a (medial) perception, psychology and/or behavior of people, at least of a specific person in the respective living space 2, 2', 2'', 1, 1', 1'', a specific person, or a person belonging to a specific group of people. If a determined or estimated measure of success falls below or exceeds a predetermined threshold, a (further) adjustment, another variant for determining or adjusting the parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... and /or repeated generation of at least one section of the communication message MS1, MS2, ... AM1, AM2, AM3, ... with or without a (further) change in the parameters (PMS1, PMS2, ...), (PAM1, PAM2 ,PAM3, ...) in the respective living space 2, 2', 2'', 1, 1', 1''.

Information stored in connection with a measure of success can also be taken into account in a later, further, e.g. later and/or related to other living spaces, devices or people execution of the method. For example, two measures of success for at least two variants (V1, V2, . . . V10) of determining or adjusting the parameters of the communication message MS1, MS2, . . . AM1, AM2, AM3, taken into account in the procedure. A (further) adaptation and/or consideration of at least one ascertained measure of success for a further execution of the method can then take place.

Furthermore, an affiliation of a (first or second) person P1, P1', P1'' or P2, P2', P2'' to a group of people, e.g or several executions of the method, e.g. depending on said (first or second) parameters, parameter patterns, etc. are determined and made available for further purposes.

In a variant of the method, data can be output on the basis of a previously recorded or buffered section of the communication Ka, Kb, Kc, Ka′. In this case, said data can be output depending on at least one ascertained measure of success. For example, if a measure of effectiveness related to adjusting the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of a portion of a communication message MS1, MS2, ... AM1, AM2, AM3, ... a falls below a threshold, a transaction or a person in said communication Ka, Kb, K- c, Ka' communication message transmitted to the other person, or a corresponding, stored (eg a recorded) section of the communication Ka, Kb, Kc, Ka' are reproduced. The portions of the data that correspond to certain measures of effect and/or response achieved can be used (with or without processing) to train the at least one neural network DNN1, DNN2, DNNZ.

For example, the at least one neural network DNN1, DNN2, DNNZ and/or the course of the method can be changed or further trained if it is determined or recognized that for one or more sections of the communication message MS1, MS2, ... AM1, AM2, AM3, ... (for one or more second living rooms 2, 2', 2'' or persons) does not produce an adequate measure of effectiveness, e.g. a measure of success that is too low (according to predetermined criteria) or a comparatively high deviation from one Target, have target value.

In particular, the mathematical relationship can include a rule with which a measure of effectiveness determined in a second living space 2 is brought to a specific target value (range) or exceeded in one or more other living spaces 2', 2''. Also, depending on a determined measure of effectiveness, the content of a communication message MS1, MS2, ... AM1, AM2, AM3, ... with a further communication message MS1, MS2, ... AM1, AM2, AM3, ... in the same living space 2, 2', 2' or in another living room 2, 2', 2'' are not repeated and/or are issued in a different form.

In another case, a communication message MS1, MS2, . . . AM1, AM2, AM3, communications K-a, K-b, K-c, K-a' are generated from one or more first living spaces 1, 1', 1''. The communication message MS1, MS2, ... AM1, AM2, AM3, ... can be a combination comprising one or more sections based on the first communications K-a, K-b, K-c, K-a' from different first living spaces 1, 1', 1 ' include.

For example, a portion of the first communication K-a, K-b, K-c, K-a' may be reproduced in a processed form, e.g., using digital filters, e.g., with modified, adjusted parameters. In this case, a determination or adjustment of the parameters can also be applied to a recorded section of the communication K-a, K-b, K-c, K-a'. This can be done in the same, analogous manner as when using an audio signal MS1, MS2 to be output and/or an auditory message AM1, AM2, AM3. Only or mainly one or more parameters (PK1, PK2, .... PK9) are preferably determined from the sections of the one or more first communications K-a, K-b, K-c, K-a', in particular sections K-a, K-b, K-c, K-a' one or more different communications combined according to a predetermined rule (with each other, among each other), and as a control variable for generating the communication message MS1, MS2, ... AM1, AM2, AM3, ... in the second living space 2, 2', 2 '' processed.

For example, to generate the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... only or mainly sections K-a, K-b, K-c, K-a 'or parameters of the sections K-a, K-b, K-c, K-a' of one or more first communications are processed or taken into account for which a certain degree of effectiveness, e.g. a high degree of success, was determined in a first living space 1, 1', 1''. These can correspond to successful communication transactions or successful jokes within said first communications K-a, K-b, K-c, K-a'. For example, to generate the at least one communication message MS1, MS2, or are taken into account for which a specific measure of effectiveness, in particular a low measure of success, was determined in a first living space 1, 1', 1'', with these being processed as a negative criterion. These can correspond to insufficiently successful communication transactions or unsuccessful jokes. At least predominantly sections K-a, K-b, K-c, K-a' or parameters of sections K-a, K-b, K-c, K-a' of one or more successful (first) human communications can be used when generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... or their effect or effectiveness are imitated, or at least predominantly the sections K-a, K-b, K-c, K-a' or parameters of the sections K-a, K-b, K-c, K-a' of one or more unsuccessful ones (First) human communications when generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... or their effect or effectiveness are avoided.

A (previously recorded) section or part of the communication Ka, Kb, Kc, Ka' can also be output in a modified or converted form depending on predetermined criteria. For example, information IK-a, IK-b, IK-c, IK-a' can be output in connection with a section of the communication Ka, Kb, Kc, Ka', via which it was determined that the section of the communication Ka , Kb, Kc, Ka' could not be sufficiently perceived by a corresponding (at least potentially present) listener or could not be perceived. The output of such information IK-a, IK-b, IK-c, IK-a 'can then alternatively or additionally by means of a visualization, eg using one or more symbols, automatically generated symbol language, suitable images or other forms of representation, eg in a (e.g. by a phoneme-to-graph method) in a form converted to a text form.

Optionally, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to perform an automatic translation of a section K-a, K-b, K-c, K-a' of the one or more communications and to take this into account in the method. This can be carried out or initiated depending on a predetermined criterion, in particular depending on said measure of effectiveness and/or depending on a recorded or recognized reaction (e.g. a physical emotion) of the at least one listener. This can be carried out if the said measure of success for a certain section of the communication K-a, K-b, K-c, K-a' falls below a threshold value and/or a person involved in the communication K-a, K-b, K-c, K-a' has a certain media reaction (PRK -a, PRK-b, PRK-c, ...) and/or physical excitement (PBL1, PBL2,..) or body language reaction (PRK-a, PRK-b, PRK-c, ...). shows the portion of the communication K-a, K-b, K-c, K-a'.

If, for example, a physical impulse BL1, BL2,..., in particular a pattern of a physical impulse (PBL1, PBL2,...) is recognized, which indicates insufficient understanding, an automatic translation of a previously recorded section of the communication K-a, K-b, K-c, K-a' and/or an output of a corresponding communication message IK-a', IK-b', IK-c', IK-a'' in a different language. For example, data or channels of the additional audio signal MS1, MS2 can then also be output in a different (suitable) language, possibly for a relevant time interval. For example, at least temporarily, you can switch to a channel AS1'', AS2'' of a bilingual or multilingual signal with a different language (or the language set by default) or automated, adaptively switchable interpreting for certain sections of the Communication K-a, K-b, K-c, K-a' are activated.

For example, the data or content IK-a, IK-b, IK-c, IK-a' can be (intermediately) stored on the basis of a section of the communication K-a, K-b, K-c, K-a' if it has been determined that the Section of the communication K-a, K-b, K-c, K-a' or the corresponding message was not or could not be sufficiently perceived by an (at least potential) addressee. This can, for example, be recognized or made dependent on the fact that another (comparatively loud, distinctive) acoustic content was determined in the same time interval.

• - ein ermitteltes, insbesondere prädiziertes Erfolgsmaß eine vorausbestimmte Schwelle überschreitet, und/oder
• - ein oder mehrere akustische Parameter, insbesondere in dem Raumbereich RB1, ... RB6 wo sich der Adressat des Abschnitts der Kommunikation K-a, K-b, K-c, K-a' (zumindest wahrscheinlich) befindet, z.B. eine Schwelle unterschreiten, und/oder
• - wenn der Adressat des Abschnitts der Kommunikation K-a, K-b, K-c, K-a' seine räumliche Position derart verändert, z.B. derart, dass das Erfolgsmaß hinreichend anteigt.

An output of information IK-a, IK-b, IK-c, IK-a' is preferably reproduced on the basis of a section of the communication Ka, Kb, Kc, Ka' if, for the output of information IKa, IK-b, IK-c determines that

• - a determined, in particular predicted measure of success exceeds a predetermined threshold, and/or
• - one or more acoustic parameters, in particular in the spatial area RB1, ... RB6 where the addressee of the portion of the communication Ka, Kb, Kc, Ka' is (at least probably) located, eg falling below a threshold, and/or
• - if the addressee of the section of the communication Ka, Kb, Kc, Ka' changes his spatial position in such a way, for example in such a way that the measure of success increases sufficiently.

(10) => step with handling or providing the data, ending the method

In this step at the latest, the at least one communication message MS1, MS2, . PMS1, PMS2, ... PAM1, PAM2, PAM3, ...). The provision can be used to generate the communication message MS1, MS2, at one or more user devices AG1, AG1', AG1'' in relation to this user device are the first user devices. For example, the parameters for generating the at least one communication message are provided to a specific user device AG2, AG2′, AG2″ or AG1, AG1′, AG1″, in particular a user device of a specific person P2, P2′, P2″. or P1, P1', P1'' or a person P2, P2', P2'' or P1, P1', P1'' belonging to a specific group of people. The provision can, for example, take place indirectly, for example via the computing unit R2 and/or in any coded form.

Selected data related to the execution of the method are stored. In this example, parameter values, data, statistical data, e.g. determined or updated mathematical relationships, in particular mathematical relationships between the parameters, taught-in data (learning data) or data sets determined on the basis of said data, and/or the last valid settings or those preferred by a user are stored in a non-volatile memory. In this example, there is an association between one or more user settings and one or more parameters (PS1, PS2, . . . ) recognized in the method of one or more scenes S1, . . . S8. The corresponding data (e.g. learning data) are stored on this basis.

All data described in this document, e.g. recorded or determined parameter values, can be determined as (per se neutral, value-free, possibly untraceable or anonymous) code values or coded, processed, stored and/or made available as such code values. The code values can be selected in such a way that they do not allow any (undesirable) conclusions about specific people or specific events, specific communication or reactions in a respective living space 1, 1', 1'', or 2, 2', 2 '' allow. Parameter values can also be encrypted, e.g. with an individual key for each living space 1, 1', 1'', ... 2, 2', 2'' and/or for different living spaces 1, 1', 1'', . .. 2, 2', 2'' each have different meanings. In this example, there is also storage, further processing or provision of selected determined data or data based thereon, e.g. for a further functionality or service.

For example, on the basis of the data determined or stored in the process, a prediction about certain events or trends, a recognition and consideration of the needs of the people, in particular with a reference to a group of living spaces 1, 1 ', 1', 2, 2 ', 2' and/or persons, occur (be executed). Taking into account or based on the (selected) data, one or more context-related information for one or more living spaces 1, 1', 1'', ... 2, 2', 2'' and/or for specific people, e.g. Holders of the corresponding devices or for people belonging to a specific group of people are generated or selected. The determined data can (in turn) be related to certain groups of people or living spaces, e.g. living spaces in certain areas, to certain groups of people, e.g. to a corresponding code (which, for example, identifies a group of people). The data can also be made available for other services, in particular in an aggregated and/or anonymous and/or statistical form.

The data is stored within the house, e.g. in the processing unit R1, and/or in a remotely arranged processing unit R2, e.g. in a central cloud or server. Storage of the data in a remotely arranged computing unit R2 is preferred in this example. Another similar or different system (in particular a device of a user), for example a next generation of the system (in particular a device of a user or the user), can also be operated taking into account the stored data. An aggregation of said data can also be carried out and in a further execution of the method, a related or another method, and/or in an execution of the method in another living space 3, 3', 3'', e.g. newly added to the method. be used or taken into account.

For example, one or more parameters (PK1, PK2, ... PK9) of a communication Ka, Kb, Kc, K-a', ... are determined within a first living space 1, 1', 1'' and/or a Parameters (PRMI-a, PRMI-b, PRMI-c ...) a reaction of at least one person to a media content MI1 MI2, ... within a first living space 1, 1 ', 1'', or a determination of one or several parameters (PRK1-a, PRK1-b, PRK1-c, ...) or (PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) of a reaction of at least one person in connection with a communication K1-a, K1-b, K1-c, K1-a' within a first living space 1, 1', 1'' and/or to media content MI1, MI2, ... within a first living space 1, 1 ', 1''. The corresponding data from a number (or a large number) of living spaces (eg for a comparatively long time interval) are stored and/or made available. These can be in the form of aggregated parameters be provided internally. The method can be carried out (also) without an (immediate) determination of the parameters of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . . . or without at least one communication message MS1, MS2, . AM1, AM2, AM3, ... (immediately).

In one example, the at least one neural network DNN1, DNN2, DNNZ is trained depending on one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a', one or more parameters (PS1 , PS2, ...) of the scene S1, ... S8, one or more parameters (PBL1, PBL2, ...) of the at least one physical emotion of at least one person in one or more first living spaces 1, 1', 1' ', at a first time interval (t1 - t2) and one or more parameters (PK1', PK2', ... PK9') of the communication K-a', K-b', K-c', K-a' ', one or more parameters (PS1', PS2', ...) of the scene S1, ... S8, one or more parameters (PBL1', PBL2', ...) of at least one physical impulse of at least one person, at a second time interval (t3 - t4) which was at least partially after the first time interval (t1 - t2) in the first living space 1, 1', 1''. (Learning) data of the trained neural network DNN1, DNN2, DNNZ are then determined and/or made available on the basis, e.g. in the computing unit R1 or R2 or AG1, AG2.

The (learning) data can, taking into account several training processes based on different versions of the method in the at least one or more living spaces 1, 1', 1'', 2, 2', 2'', 3, 3', 3'' , for example by means of an (arbitrary, specific, appropriate) data aggregation. These can be saved or made available. In a later execution of the method (with or without a further service or functionality) in one or more first living spaces 1, 1′, 1″ or in one or more second living spaces 2, 2′, 2″, this can be determined or adjusting one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one section of the communication message MS1, MS2, ... AM1, AM2, AM3 ... and/or one or more Parameters (PAI1, PAI2, ...) at least a portion of a further audible acoustic content AI-a, AI-b, AI-c, AI-d for an at least partially forthcoming third time interval (t3 '- t4') depending on the said (learning) data are executed.

Furthermore, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated on the basis of the values or patterns of at least one or more parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a ', K-a', K-b', K-c' and/or one or more parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person to a media content MI1, MI2 , from a large number of living spaces 1, 1', 1'', 2, 2', 2'' on the one hand and certain events taking place approximately in the same period or subsequently or certain other (also general, independent of the said parameters) events or trends on the other hand, determine, in particular predict. For example, the at least one further mathematical relationship can characterize an (at least statistical) correlation within or between the data. The at least one further mathematical relationship preferably includes data, e.g. parameter values from a longer period of time.

For example, the data for determining such a mathematical relationship relate to more than 1000 living spaces and/or time intervals of more than 1 day, 1 week, one month, one year. The last-mentioned events or trends can be general social or psychological effects, group dynamic phenomena, sociological trends, which in particular do not have a direct, significant causal connection with the individual living spaces or people in them.

In other words, in the method, conclusions can be drawn about events or trends that are not (immediately) determined by the living spaces 1, 1', 1'', 2, 2', 2'' in a number of the living spaces 1, 1' , 1'', 2, 2', 2'' or persons therein (to a significant extent). The trends can be (e.g. general, country-specific, person-specific, group-specific) consumer behavior, for example in relation to a certain customer group, fashion, a subjectively felt satisfaction, security, dissatisfaction, opinion, politics, elections, a financial market, securities trading, stock market events and concern the like. Furthermore, these events or trends can, for example, relate to natural phenomena, e.g. solar activity, earthquakes, ocean activity, e.g. tsunami.

Data based on further or later executed steps of the method, for example data based on one or more parameters (PK1, PK2, ... PK9) of the communication K-a', K-b', K-c', K- a', K-b'', K-c'' and/or the parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the people's reactions to media content MI1, MI2, ... approximately the same or a different number of living spaces 1, 1′, 1″, the. Depending on the comparison of the data, conclusions can be drawn about the events or trends that took place around the same period or that are to be expected in the near future. For example, depending on a (possibly later) recognition or recognition of one or more identical or similar values or patterns, eg correlation patterns of the one or more parameters (PK1, PK2, . . . PK9) of the communication K-a', K-b ', K-c', K-a'', K-b'', K-c'' and/or the parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the people's reactions to media content MI1, MI2, ... as in the corresponding data, from a large number of living spaces 1, 1', 1'', 2, 2', 2'', which have been recognized before or during certain events or trends , a conclusion can be drawn about the events or trends that are taking place around the same period or that are to be expected in the near future.

For example, from the (possibly aggregated) data based on the values or patterns of one or more parameters (PK1, PK2, ... PK9) of a large number of the communications K-a', K-b', K-c', K -a'', K-b'', K-c'' and/or a variety of parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the people's reactions to media content MI1, MI2 , ... a prediction of an event or trend from a large number of living spaces 1, 1', 1'', 2, 2', 2'', or a conclusion, e.g. as an indication of an increased probability of an event or .trend occur.

In this way, a conclusion can be drawn about a probability value for the occurrence of one or more events or trends. In a simplified case, a change (increase, decrease) in a probability of occurrence relating to an event or trend, e.g. a value range of a variable, can be predicted or one or more probability measures can be assigned to one or more potentially possible events or trends. For example, a probability distribution or a change in a probability or probability distribution in relation to a plurality of events or trends, in particular alternative events, can be determined, in particular estimated. In particular, depending on the data, trends can be recognized or predicted which (at least in principle) can be assumed or known to (can) influence an event in the future, in particular in a specific way or to a specific extent. However, it is also possible to draw conclusions about events or trends that have no connection or a connection (possibly extremely weak or difficult to understand, especially given the state of the art that cannot be adequately determined or explained, unfathomable) and in particular the causality of such events or trends Show trends with living spaces 1, 1', 1'', 2, 2', 2'' (participating in the method) or people. There may be events or trends for which a specific contribution by certain people or living spaces 1, 1', 1'', 2, 2', 2'' is not known.

For example, on the basis of a changed occurrence of (certain) sounds, scenes, actions, body language, parameter value ranges, (parameter) patterns, e.g. in domestic animals, or domestic animals of a certain species (e.g. dogs , cats, birds, amphibians, etc.) in a large number of living spaces 1, 1′, 1″, 2, 2′, 2″... a conclusion as to an increased probability of the occurrence of certain, at least partially forthcoming, events or trends , particularly relating to natural phenomena. For example, one or more probability measures in connection with at least one event and/or a parameter of the event can be inferred.

A large number of such or such data on the basis of several living spaces 1, 1', 1'', ... 2, 2', 2'' ... and time intervals (per se very weak, direct, indirect, only statistical) scientific dependencies are evaluated. In particular, certain dependencies that are not direct, i.e. not directly connected by a cause-effect, between the parameter values and/or Parameter pattern and at least one accompanying event or (after a certain time) subsequent event or a specific trend are determined.

In a further or later execution of the method (e.g. at a later time interval), from the recognition of said or similar, or (to these) similar parameter values and/or parameter patterns, a conclusion can be drawn with regard to at least one (at least partially in future) event or trend, eg on the type and/or a measure of the probability of occurrence of at least one event or trend. For example, thereupon, e.g. upon recognition of said or similar, or (to these) similar parameter values and/or parameter patterns (depending on one or a plurality of said further mathematical relationships), a characteristic value for a certain tendency, at least as a predicted qualitative or quantitative value, a measure of probability in relation to which at least one, in particular future event or trend is determined and made available (eg output).

Also certain combinations of values or patterns from parameters of said communications K-a', K-b' (e.g. over a large number of living spaces 1, 1', 1'', ... 2, 2', 2'') , K-c', K-a'', ... K-b'', K-c'' or the parameters (PRMI-a, PRMI-b, PRMI-c, ...) of the reactions of the People on specific media content MI1, MI2, for example a statistical accumulation of specific features, parameter values, parameter patterns, exceeding or falling below specific statistical values for at least one time interval can be determined and processed to predict specific trends or events.

For example, statistically significant values in relation to communication behavior (statistically determined for a large number of living spaces 1, 1′, 1″, partially in the future event or a corresponding trend, e.g. a type or a measure of the probability of occurrence of the event or a parameter, e.g. extent, of the event. The corresponding data can be provided in the form of said code values and/or in a statistical form.

For example, the at least one further mathematical relationship (e.g. indicating a correlation, similarity, dissimilarity, etc.) between one or more first parameter trends (based on the parameters (PK1, PK2, ... PK9), (PRMI-a, PRMI- b, PRMI-c, ...), (PRK-a, PRK-b, PRK-c, ...), etc. identified trends) and a first social trend (based on information on social processes, opinion polls, behavior, etc. determined trend) can be determined. This can preferably be determined on the basis of a number of parameter trends and corresponding social trends, e.g. those that have occurred over a certain period of time.

Parameter trends that did not correspond to any (corresponding) social trend or social trends that did not correspond to any (corresponding) parameter trends can also be determined and taken into account. Furthermore, one or more second parameter trends, in particular a detection of a specific second parameter trend or a parameter trend that has at least a certain similarity to the one or more first trends, a conclusion, in particular a prediction regarding a second social trend can be made. For example, a measure of a second (current or forthcoming, lying in the future) social trend is determined, in particular predicted, as a function of a determined second parameter trend and the determined mathematical relationship.

• Die Erfindung kann mit einem System aus zwei oder mehreren Vorrichtungen umfassend die jeweiligen (erste bzw. zweite) Anwendergeräte AG1, AG1', AG1'', bzw. AG2, AG2', AG2'' realisiert bzw. betrieben werden. Bei zumindest einer der zur Ausführung des Verfahrens eingerichteten Vorrichtungen handelt es sich insbesondere um eine (erste) im Wohnraum 1, 1', 1'' und/oder (zweite) im Wohnraum 2, 2', 2'' fest installierte oder im Wohnraum 1, 1', 1'' bzw. Wohnraum 2, 2', 2'' regelmäßig betriebene Anwendergeräte AG1, AG1', AG1'', bzw. AG2, AG2', AG2''. Diese können auch zur Ausführung weiterer Funktionalitäten in dem jeweiligen Wohnraum 1, 1', 1'' bzw. 2, 2', 2'' dienen. Ferner ist das besagte System zur Ausführung weiterer Funktionen und Dienste eingerichtet und/oder die ermittelten Daten, z.B. aus einer Vielzahl der Wohnräume 1, 1', 1'', 2, 2', 2'' zur Ausführung weiterer Funktionalitäten bzw. Dienste (als eine Grundlage für Ausführung weiterer Funktionalitäten bzw. Dienste) bereitgestellt.

A description of further combinable exemplary features of the invention follows:

• The invention can be implemented or operated with a system of two or more devices comprising the respective (first or second) user devices AG1, AG1′, AG1″ or AG2, AG2′, AG2″. At least one of the devices set up to carry out the method is in particular a (first) permanently installed in living space 1, 1′, 1″ and/or (second) in living space 2, 2′, 2″ or in the living space 1, 1′, 1″ or living space 2, 2′, 2″ regularly operated user devices AG1, AG1′, AG1″, or AG2, AG2′, AG2″. These can also be used to implement further functionalities in the respective living space 1, 1', 1'' or 2, 2', 2''. Furthermore, said system is set up to perform additional functions and services and/or the data determined, for example from a large number of living spaces 1, 1', 1'', 2, 2', 2'', to perform additional functionalities or services ( as a basis for the execution of further functionalities or services).

The scope of the invention also includes other functionalities or services that can be operated on the basis of the method or depending on the data from the method determined in the method. The services for certain living spaces 1, 1', 1'', ... 2, 2', 2'', for example, depending on the data relating to the respective (specific) living space 1, 1', 1'', ... 2, 2', 2'' and/or in one or more other living spaces 1, 1', 1'', ... 2, 2', 2'', in particular data aggregated according to a predetermined regulation from a number of living spaces 1, 1', 1'', ... 2, 2', 2''... are operated.

For example, one or more parameters (PK1, PK2, ... PK9) of a communication Ka, Kb, Kc, K-a', ... and/or a parameter (PRMI-a, PRMI-b, PRMI- c ...) a reaction of at least one person to media content MI1 MI2, ... or a determination of one or more parameters of a reaction (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) at least one person in connection with a communication K1-a, K1-b, K1-c, K1-a' and/or media content MI1, MI2 a first device, e.g. with a first voice control application SSA1, SSA2 or a first user device AG1, AG2. One or more steps of the method can be carried out in a remotely arranged device R2, eg in a cloud.

For example, the determination or adjustment of a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... (to generate or Output in a second living space 2, 2', 2'' or on a second user device AG1', AG2') at least partially or predominantly in the device R2 arranged at a distance, e.g. cloud and/or at least partially or predominantly with a second user device AG2 , AG2', AG2'' are executed.

The determination or adjustment of a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) at least one communication message MS1, MS2, ... AM1, AM2, AM3, ..., is dependent on one or several parameters (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a', ... and/or one or more parameters (PRMI-a, PRMI-b, PRMI-c. ..) the reaction of the at least one person to the media content MI1, MI2, ... or depending on the one or more parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI -a, PRMI-b, PRMI-c ...) of a reaction of the at least one person in connection with a communication K-a, K-b, K-c, K-a' and/or to a media content MI1, MI2.

In particular, the one or more first devices AG1, AG1′, AG1″ and one or more second devices AG2, AG2′, AG2″, and in particular the arithmetic unit R2 arranged at a distance form the system. The system can include a large number of the first devices AG1, AG1', AG1'' and/or in particular a large number of the second devices AG2, AG2', AG2''.

Correspondingly, the invention also relates to the determination of the control signals to be provided for generation. The communication message MS1, MS2, ... AM1, AM2, AM3, ..., the actions and interactions to be carried out with it (e.g. communication processes to or with the respective person), can be in the form of corresponding auditory and/or visual stimuli ( Sounds, images, video sequences) can be made perceptible with another device, e.g. the same (second) person. For example, the user can port his communication message MS1, MS2, . . . AM1, AM2, AM3, . In this case, the other user device is the user device.

For example, the determined parameters for generating the communication message MS1, MS2, ... AM1, AM2, AM3, ... to be output at the user device AG2, AG', AG2'' communication message MS1, MS2, ... AM1, AM2, AM3 , ... are provided to one or more output devices located in the vicinity of the user device (to make them perceptible according to the determined or adjusted parameters) also resulting in operating the one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' at the user device AG2, AG2', AG2'' counts. The invention also relates to the described influencing or adapting the communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g. the audio signal MS1, MS2 to be output and/or the at least one media message AM1, AM2, AM3 in one or more second living spaces 2, 2', 2''... and/or in one or more second living spaces 1, 1', 1'' depending on the data, parameters and/or control signals described in this document.

Part of the method can be carried out in at least one remote computing unit R2. In this example, the method can be carried out with a distributed system, to which at least one or more first user devices AG1', AG1', AG1'', e.g. in one or more first living rooms 1, 1', 1'', at least one second user device AG2, AG''', AG'', e.g. in one or more second living rooms 2, 2', 2'' and at least one remote computing unit R2. A generator for generating the communication message (also to be understood as the user device AG2, AG2', AG2'') can be a language assistant or can be installed or integrated with a language assistant.

The first user device AG1, AG1′, AG1″ and the second user device AG2, AG2′, AG2″ are preferably set up one or more method steps which relate to the first living space 1, 1′, 1″ and one or more method steps , which relate to the second living space 2, 2', 2'', in particular to be carried out simultaneously, quasi-simultaneously or alternately. A (first) communication message MS1, MS2, . . . AM1, AM2, AM3, or appear.

The at least partially virtual communication can be supported or the at least one communication message can be generated or adapted depending on the retrieval or a forecast of the retrieval of the communication message by one or more second persons. Retrieval can mean the fact of retrieval and/or perception, in particular in relation to one or more parts of the communication message.

For example, the one or more parameters of the at least one communication message, e.g. depending on a change in one or more specifications of the one or more first persons, on further specifications (e.g. on one or more further first persons), depending on (e.g. changed, new , updated) first parameters and/or (e.g. changed, new, updated) second parameters.

For example, it is also possible to combine, merge and/or integrate the specifications and/or drafts into the at least one communication message from several first persons (e.g. from one or more first persons who have previously entered their specification and from specifications of one or more first persons who entered their specification afterwards) until, during or after the at least one communication message is retrieved by one or more second persons (e.g. depending on the list or category of the second persons). In one example (e.g. in the specification or by the specification), a condition relating to the retrieval of the at least one communication message can be identified (also to be understood in particular: specified).

• - solange der Abruf der Kommunikationsbotschaft durch eine oder mehrere bestimmte oder bestimmten Kriterien entsprechende zweite Personen (z.B. erste Liste oder Kategorie der zweiten Personen) nicht erfolgte; und/oder
• - während des Abrufs (z.B. auch während des Abruf) der zumindest einer Kommunikationsbotschaft durch eine oder mehrere bestimmte oder bestimmten Kriterien entsprechende zweite Personen (z.B. zweite Liste oder Kategorie der zweiten Personen); und/oder
• - nach dem Abruf (z.B. auch nach dem Abruf) der zumindest einer Kommunikationsbotschaft durch eine oder mehrere bestimmte oder bestimmten Kriterien entsprechende zweite Personen (z.B. dritte Liste oder Kategorie der zweiten Personen);

For example, supporting the communication, in particular generating and/or adapting one or more communication messages, can or should take place:

• - as long as the communication message was not retrieved by one or more second persons specific or corresponding to specific criteria (e.g. first list or category of second persons); and or
• - During the retrieval (e.g. also during the retrieval) of the at least one communication message by one or more second persons (eg second list or category of the second persons) that correspond to certain or certain criteria; and or
• - after the retrieval (e.g. also after the retrieval) of the at least one communication message by one or more second persons (e.g. third list or category of the second persons) which correspond to specific or certain criteria;

For example, the at least one communication message can also be adapted (e.g. at least partially updated or updated) after being initiated by one or more of the first persons, in particular by further second persons and/or to a change in the first parameters and/or to a change in the second parameters. newly generated). A criterion for allowing, stopping and/or restricting the adjustment can relate to the retrieval of the at least one communication message by one or more second persons.

In a simplified example, the at least one criterion can relate to the number and/or proportion of the second persons (to whom the communication message is or should be directed). For example, the one or more specifications can be used to specify that the at least one communication message should be adjusted, in particular a specific adjustment of the communication message (e.g. adjustment with regard to certain types of parameters) if necessary, am a specific list or category of the second person, a certain number and/or certain proportion of the second person retrieved (or perceived) the communication message. A certain compromise between a desire to initiate the communication message as early as possible and the desire for it to be as up-to-date and/or appropriate as possible (when perceived by one or more second persons) can be sought or achieved.

For example, (e.g. depending on one or more specifications, in particular differences between the specifications), voting information can be generated for one or more of the first persons and/or feedback on the adaptation of the specification or the communication message by one or more first persons (e.g. according to the specification of a first person).

For example, if the specification is changed by at least one of several first persons (eg before or during the output of the communication message to the one or more second persons), voting information can be generated for one or more further first persons. For example, voting information to one or more other first persons can include a request for a decision by the first person (eg to adjust their specification) and/or a decision recommendation and/or several decision variants. For example, decision variants, decision recommendations and/or requests for a decision (e.g. your own variant of the decision) to change your own specification can be generated in such a way that (at least on average or overall) the least possible contradiction between the specifications of the first person results and/or the resulting communication message corresponds as well as possible to the specifications of as many first persons as possible or has as little deviation as possible, in particular an average deviation from them.

For example, the one or more parameters for generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... are determined, in particular including the determination or adjustment, within one or more (specific) second living spaces 2, 2′, 2″ can be executed at least partially in the remote processing unit R2 and/or at least partially in a second user device AG1, AG1′, AG1″.

Depending on how many or which (specific) persons within the environment of the (second) user device AG2, AG2', AG2'' or within the living space 2, 2', 2'', who have at least one communication message MS1, MS2, . .. AM1, AM2, AM3 is determined, this can be generated in appearance at least temporarily at different locations, depending on the one or more determined parameters. For example, one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' can be passed on or passed over from one (second) user device AG2, AG2', AG2'' to another (second ) user device AG2, AG2', AG2''. For example, a behavior and/or a parameter of the communication message can (expediently) be changed if the user device AG2, AG2', AG2'' is carried to another location or location or the communication message MS1, MS2, . . . AM1, AM2 , AM3, ... is made perceptible at another place. For example, if the user devices AG2, AG2', AG2'' are moved from the study to a bedroom, then the communication message MS1, MS2, ... AM1, AM2, AM3, ... begins to speak more quietly, to behave more appropriately and/or or Interprets the surrounding parameters significantly differently.

The method can be applied to two or more first communications K-a, K-b, K-c, K-a′ and/or media content MI1, MI2 to be output that are running simultaneously or overlapping in time and/or space, in particular at least predominantly independently of one another. The communications can be, for example, several, in particular a large number of (also almost simultaneously or in the same comparatively short time interval, in particular in at least two different living rooms 1, 1', 1'' or surroundings of the user devices AG1, AG1', AG1' ') First communications K-a, K-b, K-c, K-a' taking place or media content MI1, MI2 output in the surroundings of the one or more first user devices AG1, AG1', AG1'' or within one or more first living spaces 1, 1', 1'' act.

In the context of this document, the term "determination" of a parameter means in particular an appropriate determination, e.g. an initial determination and setting of a parameter value (e.g. as a write access). A parameter can be determined independently of a possibly previous, original value of the parameter or optionally contained in the content AI2, AI2′, AV2, AV2″ to be output. A qualitative and/or quantitative parameter value can be determined, in particular continuously or dynamically, e.g. several times per second, minute, once or several times per section of the communication message. For example, a parameter is determined for striving for or achieving one or more predetermined goals or target values.

In the context of this document, the term "adjustment" means in particular an expedient change, eg a change compared to a previous or original value. For example, a parameter is adjusted to strive for or achieve one or more predetermined goals or target values, for example for the effect. For example, a parameter is adjusted according to one or more (pre)determined rules, logic, formulas, one or more characteristics of the mathematical context, a target value for a reaction from or effect on a specific person or person belonging to a specific group of people and /or at least one Optimization criterion (OC1, OC2, OC3, ...). When adjusting a parameter PVP1, PVP2, PVP3) for operating one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' or the corresponding communication message MS1, MS2, ... AM1, AM2, AM3, . . . a qualitative and/or a quantitative value of the parameter (PMS1, PMS2, . . . PAM1, PAM2, PAM3, . In particular, the adjustment is made dynamically, eg cyclically, continuously or several times within a communication message MS1, MS2, ... AM1, AM2, AM3, ... Adjusting a parameter can be a (eg actively controlling or regulating) change in the parameter value one or more previous parameter values.

In particular, adjusting a parameter is a time-extended process. For example, an initial parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) or an initially determined parameter before or during the generation of a respective communication message section MS1, MS2, ... AM1, AM2, AM3 ... be adjusted.

The one or more parameters (PMS1, PMS2, . . . PAM1, PAM2, PAM3, . . . ) of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, that a certain (e.g. predetermined, or optimized, desired) effect on a (second) person, e.g. with a certain type or intensity, or to stimulate a certain (e.g. predetermined, or optimized, desired) reaction of the second person. In this way, a specific intention or reaction of the person can be stimulated, in particular with a respectively desired type or intensity. For example, a specific effect and/or an effect or effectiveness that deviates from the effect of a content to be output can be stimulated or achieved in the method. For example, a specific emotional effect or reaction of the person P2, P2', P2'' perceiving the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can be stimulated or stimulated to a controllable or regulatable extent. be achieved.

The parameters of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can be determined or adjusted continuously or quasi-continuously, in particular according to a continuous or quasi-continuous mathematical relationship or by means of the at least one correspondingly trained and/or operated neural network from the one or more first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...). Determining the first parameters described in this document and/or determining or adjusting the parameters of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . . . can take place continuously or dynamically.

The weight information and/or bias terms (of a checkpoint) of the at least one trained neural network DNN1, DNN2, DNNZ or the mathematical relationship can be used as an (at least partially continuous or quasi-continuous) function of the one or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... depending on the one or more first parameters, in particular several first parameter sets, each in the vicinity of the one or more first user devices AG1, AG1 ', AG1' or within the one or several first living spaces 1, 1 ', 1' 'were identified. In particular, a comparison (e.g. as a predetermined calculation, aggregation, learning process) between a large number of the first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b , PRMI-c ...) each from a plurality of parameter sets (e.g. each from different first user devices AG1, AG1', AG1'' or living spaces 1, 1', 1'') and the determination or adjustment of one or more parameters (PMS1, PMS2, .

Parameters (PMS1, PMS2, ..., PAM1, PAM2, ...) of different sections of an auditory and/or visual content AI1, AI2 or VI1, VI2 are each determined or adjusted differently. For example, the one or more parameters of the (second) communication message MS1, MS2, ... AM1, AM2, AM3, ... depending on one or more first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1- a', ... PRMI-a, PRMI-b, PRMI-c ...) are determined or adapted, which is or are determining for the selection from several auditory contents AI2, AI2' and/or visual contents VI2, VI2 '', which are processed as part of the output data (so to speak, the "material") for generating the communication message MS1, MS2, ... AM1, AM2, AM3. The respective auditory and/or visual content AI2, AI2' or VI2, VI2' can be combined or processed from different sources to be output, e.g. files, databases, addresses.

Depending on the one or more first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) a criterion can be selected, Combination and / or integration of the auditory and / or visual content AI2, AI2 'or VI2, VI2' are determined or adjusted. In other words, parts of the communication message MS1, MS2, .

The parameters (PMS1, PMS2, ..., PAM1, PAM2, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3 can (compared to the possibly specified parameters of the one or more contents to be output) dynamically determined or adjusted. A parameter (value) deviates in particular from a zero value or from a signal or output that is not present in each case. In particular, a parameter of the communication message relates to a signal, content, AI2, AI2' or VI2, VI2' etc. that is present or intended for output.

A parameter to be determined or adjusted (PMS1, PMS2, ..., PAM1, PAM2, ...) can, within the scope of this document, affect the parameter of a respective (corresponding, by a second person present or accepted) acoustically or visually perceptible effect.

The parameters of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . The aforesaid mathematical relationship or a comparison of the data can include non-rule-based learning on the basis of the aforesaid first parameters and/or second parameters. For example, the mathematical relationship can be changed continuously and/or dynamically, in particular several times, on the basis of a non-rule-based learning process. The learning process (e.g. as part of the comparison of the data) can be carried out in such a way that (in the case of a specific person or person belonging to a specific group of people) a specific effect, intention, reaction, action is aimed for, changes towards a target value or is held.

For example, the at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to have an effect (specific or corresponding to specific criteria) and/or reaction of certain by means of the communication message MS1, MS2, . . . AM1, AM2, AM3, . .. to be output (e.g. to reach or stimulate content provided by the one or more first persons (e.g. textual, auditory and/or visual). For example, on the basis of the at least predominantly or essentially corresponding auditory or visual content (e.g. Contents AI1, AI2 or VI1, VI2 of a live transmission) on a second user device AG2, AG2', AG2'' (depending on the first parameters) different, in particular specific reactions or effects (in the case of a present or accepted or to a present or assumed) second person to be sought or achieved.

Based on the at least predominantly or essentially matching auditory or visual content to be output (e.g. AI1, AI2 or VI1, VI2 of a live transmission), different reactions or effects can be achieved on two different second user devices AG2, AG2', AG2'' or different states, intentions, reactions or actions of a second person P2, P2', P2'' are stimulated. The contents AI1, AI2 or VI1, VI2 to be output on one or more user devices AG2, AG2', AG2'' with the one or more communication messages can, so to speak, be different on one or more of the second user devices AG2, AG2', AG2''. garnished”, “seasoned” or “served”. The difference in the effects (e.g. even if the content is predominantly the same) can be determined or adjusted, in particular by the respective (subjective) effects (including dynamically).

In particular, a parameter of a content VI1, VI2 of the communication message MS1, MS2, . .., in particular relating to the same section of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., is determined or adapted (or alternatively output essentially unchanged) in a different specific way. In particular, a parameter of a content AI1, AI2 of the communication message AM1, AM2, AM3, . .., in particular relating to the same portion of the communication message, determined or adapted in a different specific way (or alternatively substantially un changes) is output. In other words, the parameters of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . . . AM1, AM2, AM3, . Parameters of the contents AI1, AI2 or VI1, VI2 to be output visually and audibly can be determined or adjusted essentially independently of one another and/or depending on a section, content, a parameter of the effect or effectiveness.

• - Ermitteln eines oder mehrerer ersten Parameter einer Reaktion (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) einer oder mehrerer ersten Personen P1, P1', P1'' im Zusammenhang mit einer ersten Kommunikation K1-a, K1-b, K1-c, K1-a' und/oder auf einen Mediainhalt MI1, MI2, MI2'... in der Umgebung eines ersten Anwendergeräts AG1, AG1', AG1'', und (daraufhin):
• - Bestimmen oder Anpassen eines zweiten Parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) zumindest einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... innerhalb eines Multimediaprogramms MI2 an einem zweiten Anwendergerät AG2, AG2', AG2'' abhängig von dem einen oder mehreren ersten Parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) einer ersten Reaktion der einen oder mehrerer ersten Person P1, P1', P1'' im Zusammenhang mit einer Kommunikation K-a, K-b, K-c, K-a' und/oder auf einen Mediainhalt MI1, MI2, ....

In a further example that can be combined with all features of the method, the method can include:

• - determining one or more first parameters of a response (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) of one or more first persons P1, P1', P1'' in connection with a first communication K1-a, K1-b, K1-c, K1-a' and/or on a media content MI1, MI2, MI2'... in the vicinity of a first User device AG1, AG1', AG1'', and (then):
• - Determining or adjusting a second parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... within a multimedia program MI2 at a second user device AG2, AG2', AG2'' depending on the one or more first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) a first reaction of the one or more first persons P1, P1', P1'' in connection with a communication Ka, Kb, Kc, Ka' and/or to a media content MI1, MI2, ....

Accordingly, one or more multimedia programs MI1, MI2, . be issued. Preferably, variants of the multimedia program MI2, MI2', M12'' . The variants can already be provided with at least one piece of first information, a communication message MS1', MS2', ... AM1', AM2', AM3', ... with one or more already (e.g. in a previous step of the method ) include specific or adapted parameters, each adapted to a characteristic of the personality or the group of people and/or the current state of at least one person and/or generated according to a predetermined logic and/or at least partially according to a random principle. The variants can be generated in such a way that a large number and/or diversity of the first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI -c ...) can be determined. The parameters (PMS1, PMS2, . . . PAM1, PAM2, PAM3, . . . ) of the communication message MS1, MS2, , AM3, ... which is generated on the second user device AG2, AG2', AG2'' or within a second living space 2, 2', 2''. A further variant of the multimedia program MI2, e.g. based on a specific goal, effect, target value, based on a specific optimization criterion (OK1, OK2, OK3, ...) can be generated.

In other words, multimedia programs MI2, MI2' can be subjected to a change, adaptation, evolution dependent, for example, on specific, subjective (human) reactions of the persons, in particular on the effects on the respective (different) first persons. Such a multimedia program can be a uniform, uninterrupted broadcast or one that can be perceived as such, a film, in particular a feature film, a series, a radio play, a live broadcast or a sports event broadcast. This variant of the method can therefore be used as the method for generating a multimedia program MI1, MI2 comprising one or more communication messages MS1, MS2, . . . AM1, AM2, AM3, . . . on a user device AG2, AG2', AG2''.

As a result, one or more communication messages MS1, MS2, . . . AM1, AM2, AM3, . . . or a (multimedia) program comprising one or more communication messages can be generated. In this case, the one or more communication messages can be inserted, integrated or changed essentially without transition or seamlessly into one another and/or from or to other parts of the (multimedia) program. These can be seamlessly integrated with each other, with each other or with other parts of the (multimedia) program. For example, the communication message can form part of a (multimedia) program that is determined or adapted (varied in the manner described). For example, a part of a live transmission, an audio book, a feature film, a dramaturgical work, eg relating to a plot line, voices, sounds, objects of the program can be determined or adapted in places. The communication message MS1, MS2, . . . AM1, AM2, AM3, . . . can be inserted seamlessly into the context of the program. It the parameters can be determined or adjusted in such a way that the (second) person cannot explicitly perceive a transition from another section to the communication message or from the communication message to another section.

In a further example that can be combined with all the features of the method, the one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3, . .. by merging, combining and/or integrating one or more features from media content MI1, MI2, ... and one or more specifications VG1, VG1', VG1'', in particular from a number of first persons P1, P1', P1 '' be determined or adjusted. Alternatively or additionally, one or more characteristics of a personality (e.g. real or fictitious) character or a protagonist of media content MI1, MI2, ... (also to be understood in particular of a figure, character, e.g. from or according to media content MI1, MI2 , ...) and/or one or more features of the one or more first persons P1, P1', P1'' are brought together, combined and/or integrated.

In a further example that can be combined with all features of the method, the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... by means of one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1 ', AV1'' generated, in particular output. It can also be one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' (e.g. simultaneously or when generating the same communication message MS1, MS2, ... AM1, AM2, AM3, .. .) are operated according to at least two specifications VG1, VG1′, VG1″ and/or characteristics of at least two of the first persons P1, P1′, P1″.

For example, at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated. Features from different specifications VG1, VG1', VG1'' (e.g. relating to content, forms of the desired communication message MS1, MS2, ... AM1, AM2, AM3, ... and/or characteristics of one or more first persons P1, P1', P1'' with characteristics of one or more (e.g. selectable or expediently chosen in the process) figures or protagonists, (real or fictitious) personalities from a or multiple media content MI1, MI2, ... to bring together, combine and / or integrate.

In a further example that can be combined with all features of the method, the method can include: Recognition depending on one or more first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI- b, PRMI-c ...) of a specific state, emotion, intention, corresponding in particular to a specific value range, of the one or more first persons P1, P1', P1'', and then: determining or adjusting a (second) parameter ( PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... depending on the first parameters of the sections of a communication K-a, K-b, K-c , K-a' and/or the media content MI1, MI2, .... related to the occurrence of the state, emotion, intention of the one or more first persons P1, P1', P1'', in particular to said State, emotion, intention that led to one or more first persons P1, P1', P1''.

For example, a large number of the sections, in particular with a high diversity of the parameters of their respective effectiveness (PWMI-a, PWMI-b, PWMI-c, ...) are first tested on one or more first user devices AG1, AG1', AG1' or issued in the first living rooms 1, 1 ', 1' 'or be offered for issue. Alternatively or additionally, first parameters for several sections of communications K1-a, K1-b, K1-c, K1-a', each with different effects or efficiencies (PWK1-a, PWK1-b, PWK1-c, PWK1-a ', ...) be determined. 1, 1′, 1″ effects or reactions generated in the one or more first persons can be determined and taken into account (as the first parameter). For example, the first parameters relating to a specific state, reaction, emotion or intention, one or more first persons P1, P1', P1'', e.g. persons belonging to specific groups of persons, can be selected and (separately, preferably) taken into account. For example, parameters of certain parts (sections or content) or combinations of sections in the vicinity of one or more first user devices AG1, AG1 ', AG1' 'or within first living spaces 1, 1', 1 ', which at the one or more first persons P1, P1', P1'' have led to one or more specific (e.g. desired or undesired) effects or reactions can be selected. These can be considered as the first parameters.

Parameters can be selected which have led to a state, reaction, emotion or intention in the one or more first persons P1, P1', P1'' which has a target or target value for the at least one second person P2, P2 ', P2'' correspond, come close or resemble. Depending on the identified Information, the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . The at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can (also) be output depending on the parameters of the selected parts (sections or content), in particular on the basis of other (auditory or visual) Contents AI2, AI2' or VI2, VI2' are generated.

In the process, one or more personality models can be implemented or operated using technical means.

For example, the communication message can be operated by means of an avatar on the basis of a (your, virtual, designed with technical means, dependent on specific input variables) personality model. The generation of the communication message can be determined and/or operated dependently, in particular on the basis of the first parameters of the one or more first persons (e.g. within a longer time interval) determined personality models of one or more real persons. For example, the personality model PM1, PM1', PM1'' of an avatar AV1, AV1', AV1'', on which the generation of the communication message is based, is based on the data of several real people, selected in particular according to a specific criterion, and/or other personality models (of real virtual personalities) are determined, integrated, combined, so to speak "put together". For example, data from people with the same or a similar affiliation to certain groups of people, people with certain talents, successful people or personality models from various real people or other virtual personalities who meet a criterion can be dynamically selected and/or combined.

In particular, the personality model of the one or more second persons (e.g. one or more personality models operated on behalf of the one or more second persons) can be changed depending on a communication message (e.g. not yet sent to the one or more second persons) (e.g. one or more drafts or . Variant of the communication message) are operated. The personality model can in particular be set up in a person-group-specific, person-specific, context-specific, etc. manner. For example, it can be operated according to a transactional analysis model, an SR model (=stimulus-response model) and/or a Riemann-Thomann model. The respective model can be set up (e.g. parameterized) for specific groups of people, people-specific, context-specific, etc.

The one or more personality models (e.g. taking into account the respective second parameters) can represent the state, e.g. personality state, state of mind, and/or context, scene, surrounding or perceived stimuli, changes in state, emotions of the respective second persons (e.g. at least simplified, model-like ) depict, in particular simulate. The one or more personality models can be at least partially synchronized (e.g. with regard to their condition and/or sensitivity to different inputs or stimuli) with the respective real second persons. In other words, a “shadow being” can be operated on one or more (first or second) persons. At least one communication message can be “tried out” or better coordinated on this.

The effect of the at least one communication message on the (respective) personality model and/or the reaction of the personality model to the communication message (e.g. one or more drafts or variants of the communication message) (e.g. not yet issued to the one or more second persons) can be determined become.

Depending on the determined effect or reaction, feedback can be generated for the one or more first persons, the parameters of the at least one communication message can be (further) determined or adjusted, a variant of the communication message can be selected and/or one or several first persons are offered.

The at least one personality model of the one or more (first or second) persons can be operated at least partially depending on the parameters determined in the method (e.g. corresponding to or associated with the respective person. For example, at least one personality model PM1, PM1', PM1" or avatars AV1, AV1', AV1" are trained and/or operated on the basis of one or more profiles associated with the person ality models PM1, PM1′, PM1″ or avatars AV1, AV1′, AV1″ can be better set up to simulate the states or state transitions of the respective person.

In particular, a figure and/or avatar representing one or more (e.g. first and/or second) persons in a virtual space (also to be understood in particular as a virtual world) can be handled depending on at least one personality model (e.g. for one or more specific persons). , be controlled in particular.

Alternatively or additionally, the data for a (e.g. first and/or second) personality model, based on the (e.g. first and/or second) parameters from longer periods of time, e.g. from a large number of communications and/or reactions of the respective person, can be determined and to be read. For example, such data can be of one or more real persons, selectable or selected according to a predetermined criterion, e.g. depending on the reference information, e.g. a friend, acquaintance, relative, family member but also well-known actors, public figures or a specific, e.g Person to be identified or read.

For example, different aspects of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, or be adjusted.

For example, depending on the one or more first parameters and/or one or more second parameters, these can indicate a state or a change in a state (e.g. a state transition) of the (respective) one or more (real, specific) first persons or Determine, in particular predict, at least one (more real, specific) second person. For example, a state and/or one or more transitions between certain states can each be executable as a function of the first parameters and/or second parameters of the personality model. For example, a state or a change in state of a real (e.g. a first or a second) person can be simulated by means of a personality model (assigned to the respective person).

A parameter of a personality model can each indicate one or more changeable states, preferably identified as a discrete value, and/or a condition for changing the state, e.g. a transition condition from a specific state and/or into a specific state.

The at least one communication message can be generated by means of or based on an execution of a personality model. A corresponding personality model (e.g. a virtual personality) can be designed, modeled and/or operated (dynamically) depending on a personality model of a real, specific person or group of people. This means that both static and dynamic aspects of the personality or their current states or states or changes in state related to certain events are taken into account. Selected aspects of the personality can be simulated mathematically (statically and/or dynamically) or determined depending on a determined personality model (e.g. based on the personality model of a real person trained on the first parameter or second parameter).

For example, a communication message based on a personality model of a real actor, scientist, blogger, etc. can be combined with the behavior, voice, appearance, specific actions, knowledge base of another, e.g. selectable person. A personality type or character based on the personality type or character of a public figure, an unavailable person or a person who is no longer alive can also be combined with a knowledge base of another selectable person.

A parameter of the at least one communication message can identify a changeable state, in particular identified as a discrete value, and/or a condition for a change in the state, e.g. a transition condition from a certain state and/or into a certain state. The change in the state of the one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' can be dependent, e.g the state of the one or more first personality models and/or the one or more second personality models that correspond to the (real) first or second persons, are determined or adjusted.

Such states can, for example, be defined analogously or analogously to the states known from a communication model for real people. These states can, for example, be defined analogously to the communication states "caring parent", "critical parent", an "adult", an "adapted child", a "rebellious child", a "free child", or the like become. Alternatively or additionally, the at least one state can be defined as characteristic of a specific emotion, eg one or more basic emotions.

For example, a state of the one or more personality models PM1, PM1′, PM1″ or avatars AV1, AV1′, AV1″ can be determined or adjusted in the method. The one or more parameters of the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . In other words, one or more parameter values for a state or a state transition of the respective one or more personality models PM1, PM1′, PM1″ or avatars AV1, AV1′, AV1″ can first be determined or adjusted. The one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can then depend on the specific or adjusted state or state transition are determined or adjusted. Determining or adjusting the parameters PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can depend on the states and/or or changes in the state of one or more first persons, e.g. with regard to their ego states, emotional or psychological states. A state or state change of one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'', from which or in whose name the communication message is generated, can be dependent on (real, real, human) subjectively perceived states or changes in state of the one or more first persons P1, P1′, P1″ are determined or adapted.

The at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can be sent using the one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' (on the second User device AG2, AG2', AG2'' or within the second living space 2, 2', 2''). A particularly brain-friendly perception of the communication message can be achieved. This can be made perceptible as coming from a living being, from a certain ego state, from a certain emotion.

As a result of the method, a large number of variants of the communication messages MS1, MS2, . . . AM1, AM2, AM3, . These may not or rarely be repeatable and (at least for the perceiving person) perceptible as improvised.

With the invention, a communication message MS1, MS2, ... AM1, AM2, AM3, ... that appears human or alive (in terms of an external effect) can be simulated or in appear or are generated in the perception of the second person.

For example, the objective technical effect can result in which the behavior, communication behavior, body language, etc. of the communication message MS1, MS2, . . . AM1, AM2, AM3, , which could not have been learned from the second person or multiple second persons. A communication message MS1, MS2, . . . AM1, AM2, AM3, . A specific or specific communication message MS1, MS2, . . . AM1, AM2, AM3, .

In a further combinable example, a determination or adjustment takes place, for example, an emotional effectiveness or effect, in particular a (for the second person) stimulated reaction, action that at least partially deviates from and/or is independent of the effect or effectiveness, or a stimulated reaction , Action that is or is likely to be expected through the output of a corresponding content to be output AI2, AI2', or VI2, VI2'' (without determining or adjusting the parameter). Determining or adjusting the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can be done in such a way that the , in particular psychological or emotional effect or effectiveness of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., in particular a communication message MS1, MS2, ... AM1, AM2, AM3, ... comprehensive program in a predetermined (eg determined by the mathematical context) dependency on which one or more first parameters. For example, the particularly psychological or emotional effect or effectiveness of the communication message can be sought or achieved on the basis of (real, human) feelings of one or more first persons (in particular in several different living spaces or user devices).

The at least one neural network DNN1, DNN2, DNNZ can be trained and/or operated to aim for or achieve a measure of a subjective effect, in particular on a specific (second) person or a second person belonging to a specific group of people. For example, the one or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... can be determined or adjusted in such a way that the communication message MS1, MS2, ... AM1, AM2, AM3, ... (e.g. alone or in the context of a program) a certain transition to or from a certain state ("ego state", communication state, emotional state) is brought about by the perceiving (second) person. This can take place taking into account the initial state (determined optionally in the method) and/or a parameter of the personality model of the perceiving person. A quantitative or qualitative measure of one or more respectively desired, in particular subjective effects, intentions, reactions of the one or more second persons can be brought about or stimulated, in particular changed towards a target value. Thus, in particular, the characteristics of the human psyche are taken into account. Not only an intensive, but also a specific effect, e.g. corresponding to a goal or target value or individually adapted, can be brought about in a perceiving (second) person. For example, specific emotional dramaturgical effects can be achieved that correspond to a target value for a specific person or person belonging to a specific group of people. The respective effects can be achieved to match a respective initial state, personality traits of the specific second person or a second person from a specific second group of people.

For example, the parameters of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can be determined or adjusted in such a way that the second person (present or assumed) has a (e.g. statistically expected or by means of a personality model) predicted effect, effectiveness, emotion, intention, action. The method thus also makes it possible to determine or adapt subjective circumstances in a comparatively objectified manner, in particular to change them towards the target value. For example, a target value for the effect can (also) be specified or can be specified by the person himself. One or more communication messages MS1, MS2, . . . AM1, AM2, AM3, becomes. This can be done with or without a (manual) selection or specification of the underlying content to be output.

In a further example that can be combined with all of the features, a parameter of the physical activity of the avatar and/or an emotion or intention to be represented by the avatar is determined or adjusted depending on the one or more first parameters, in particular depending on the first parameters of the emotion or intention of one or more first persons. The one or more personality models PM1, PM1′, PM1″ or avatars AV1, AV1′, AV1″ can have a specific, corresponding effect on the at least one second person or influence the second person. A specific effect (e.g. corresponding to a goal or target value) can be exerted on or influencing the at least one person perceiving the communication message MS1, MS2, . . . AM1, AM2, AM3, . For example, it is in human nature to make one's own emotions or behavior dependent on the emotions or behavior of another being (here: the virtual personality), for example to imitate the other being, agree with or defy it.

One or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... (e.g. output by the avatar) can be determined or adjusted in such a way that a certain effect, e.g a certain group of people belonging) second person adjusts. In this case, an emotion represented by the communication message MS1, MS2, ... AM1, AM2, AM3, ... (e.g. by the avatar) can be dependent on a (psychological or emotional) effect of the second person P2, P2', P2'' can be determined or adjusted. In this case, one can be represented with the communication message MS1, MS2, . . . AM1, AM2, AM3, The ego state or emotion can deviate from the ego state or emotion that applies as a target value and is to be brought about in the second person P2, P2′, P2″, or can be a complementary ego state or emotion in each case. A depicted ego state or emotion to be represented can be selected, for example, according to one of the personality models already mentioned.

For example, a parameter of a communication message MS1, MS2, ... AM1, AM2, AM3, ... AM1, AM2, AM3, ... which is to be output by an avatar AV1, AV1', AV1'', which together or as part of a with a, on or in the Environment of the at least one second user device AG2, AG2′, AG2″ or in the second living room 2, 2′, 2″ is generated program to be output, determined or adjusted depending on the parameters of the (“human”) reaction of the one or several of the first persons to the same or similar sections of the same program (which is output e.g. with a short lead time in the first living rooms 1, 1', 1'' or on the first user devices AG1, AG1', AG1''), or one similar program. For example, (also for content AI2, AI2' or VI2, VI2' to be output essentially in real time or with a slight delay), an effect or effectiveness of a content (e.g. a program) to be output in each case can be achieved that has an effect or effectiveness in a crowd, e.g. resembles, imitates or reproduces in a modified form a live event. For example, the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... (on the at least one second user device AG2, AG2', AG2'' or in the second living space 2, 2', 2' ') a part of a multimedia program to be output.

The one or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... are determined or adjusted (e.g. dynamically) in such a way that the effect or effectiveness of the communication message (e.g. in relation to a specific second person or person belonging to a group of people) depending on the one or more reactions of the one or more first persons to the corresponding or (similar in terms of effectiveness) sections of the on their first user devices or first living rooms (e.g. issued with a certain lead time) React multimedia program. The method can include generating a certain delay in the output of a multimedia program comprising at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . . . on a second user device or in the second living space. A corresponding pre-run is thus generated, with which it is possible to determine the parameters of the reactions of the one or more first persons to specific sections of the multimedia program and to determine or adapt the parameters of the communication message. A time difference can, for example, only be a few fractions of a second or seconds. The method is therefore also suitable for content AI2, AI2' or VI2, VI2' that is to be output essentially in real time. An emotional or psychological effect of a “presence” or emotional participation of other (first) persons P1, P1′, P1″ can be generated for a large number of the second persons P2, P2′, P″″. This can also take place in the method without a (direct or multilateral) transfer or mixing of the content or contexts between the (several) first and second living spaces or between the first and second user devices.

In a further example, the at least one communication message MS1, MS2, differs predominantly, essentially or completely from the first (e.g. visual or auditory) content AI1, AI1'' or VI1, VI1'' and in particular is not related to it (in terms of content or causation), which is used, for example, to determine the parameters of the Response of the one or more first persons P1, P1', P1'' were the basis. The second content AI2, AI2'' or VI2, VI2'' can (e.g. causally, temporally) be independent of the first content AI1, AI1'' or VI1, VI1''.

In another example, one or more first parameters of a response (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) may be one or several first persons P1, P1', P1'' in connection with a communication K1-a, K1-b, K1-c, K1-a' and/or on a media content MI1, MI2, ... by means of a first user device AG1 , AG1', AG1'' are determined which, in one or more first scenes S1, ... S8, in an arrangement of the at least one first person P1, to a further first person P1', P1'' or to the first user device AG1 , AG1', AG1'' have occurred. One or more second parameters (PMS1, PMS2, . . . PAM1, PAM2, PAM3, . . . ) of at least one communication message MS1, MS2, second user device AG2, AG2', AG2'' depending on the one or more first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...), wherein determining or adjusting the one or more second parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) depending on the one or more first parameters of the first scenes S1, ... S8, in an arrangement of the at least one first persons P1, to another first person P1', P1'' or to the respective first user device AG1, AG1', AG1''.

In a further combinable example, depending on the determined (first or second) parameters, a change in the mode or state of a second user device AG2, AG2', AG2'' and/or on the second user device or in the second living space 2, 2', 2'' generated one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1''.

In a further combinable example, a selection of at least two different variants (V1, V2, ... V10) for a (current, ongoing, further) determination or adjustment of the parameters of a communication message MS1, MS2, ... AM1, AM2, AM3, also depending on the circumstances in the second living space 2, 2', 2''. One or more parameters of a second communication in the second living space 2, 2', 2'' and/or another acoustic content in the second living space 2, 2', 2'' can be taken into account. Determining or adjusting the parameters can be done in such a way that the communication message MS1, MS2, ... AM1, AM2, AM3 in the second living space 2, 2 ', 2' 'to an appropriate extent, in particular for a person for whom this mainly is intended, is perceptible, is intended to have a specific effect, e.g. corresponding to the target or target value, and/or that an undesirable effect, e.g. one-sided or mutual interference with communication in the second living space 2, 2', 2'' is reduced . Different directions, distances or positions can be determined or adjusted for different parts (sections or channels) of the communication message MS1, MS2, . . . AM1, AM2, AM3, as which these are made perceptible.

In the method, an appropriate, predetermined or dynamically variable measure of the effect or effectiveness of the program comprising at least one communication message MS1, MS2, . . . AM1, AM2, AM3 can be brought about and/or maintained. The degree of effectiveness can be characterized by essentially objective criteria (independent of the specific perceiving person). The measure of the effect can be subjective, in particular characteristic of a specific person or a person belonging to a specific group of people.

As a result, parameters of the sound waves or optical images that are generated on the basis of one or more communication messages MS1, MS2, , e.g. varied or (dynamically) controlled depending on at least one respectively valid optimization criterion (OK1, OK2, OK3, ...). The method also relates to the control of the sound waves or images which are reflected from the walls, surfaces or the furnishings of a living space 2, 2', 2'', in particular in certain directions.

The at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can be issued by (or on behalf of) an avatar, in particular in such a way that the creation of the communication message is assigned to one or more people and/or than is made perceptible starting from this. An avatar AV1, AV1', AV1'' can be a virtual presenter, e.g.

In particular, an avatar can have body language (artificially reproduced by the perceiving person as such), e.g. a reproduction or visualization of a gesture, a mimic expression, micro-expression, body pose, etc. For example, the one or more parameters of the communication message can (also) be characteristic of parameters of a micro-expression of a simulated face of a virtual personality. In an example of the method, one or more parameters PMS1, PMS2, . . . PAM1, PAM2, PAM3, . The corresponding body language, gestures, facial expressions, micro-expressions (of a virtual figure or as corresponding symbols or images) can be carried out using the appropriately set up user device AG2, AG2', AG2'' and/or using other means which are exceptionally referred to here as the AG2, AG2' , AG2'' are to be understood. A parameter of an output of the one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' is used as a parameter of the communication message MS1, MS2, ... AM1, AM2, AM3, .. . to understand.

For example, one or more parameters of a (eg technically reproduced or imitated) physical movement, body language, micro-expression of an avatar on the second user device AG2, AG2', AG2'' or within a second living space 2, 2', 2'' (according to the predetermined mathematical relationship) depending on the one or more parameters (PK-a, PK-b, PK-c, PK-a') of the communication in the vicinity of the one or more first user devices AG1, AG1', AG1'' or within the one or more first living spaces 1, 1', 1'' and/or of the one or more parameters (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) the reaction of at least one or more (first, real) persons (on a media content MI1, MI2, ... or a communication Ka, Kb, Kc, K-a') is determined or adjusted (and controlled accordingly). The one or more parameters of the generated physical movement, body language, microexpression, in particular with regard to their dynamics, in a diversely predefinable (fixed or variable) mathematical relationship from the first parameters, which are each in the surroundings of several first user devices AG1, AG1', AG1' or . from several first living rooms 1, 1 ', 1' apply or have applied determined or adjusted.

For example, various outputs (sound, appearance, body language, etc.) or a behavior of one or more avatars AV1, AV1', AV1'', AV2, AV2', AV2'' are controlled in such a way that they respond to a (second) communication and/or reacts to a section MI-a, MI-b, MI-c of media content MI1, MI2 in the second living space 2, 2', 2''. The reaction of the one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'', e.g. one or more parameters of the reaction of the one or more personality models PM1, PM1', PM1'' or . avatars AV1, AV1', AV1'' from the one or more parameters (PK1, ... PK9) of the communication within the first living space 1, 1', 1'' and/or from the one or more parameters (PRK1 -a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) the reaction of at least one person to a media content MI1, MI2, ... in the surroundings of the one or more first user devices AG1, AG1', AG1'' or within the one or more first living spaces 1, 1', 1''. For example, one or more personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' in response to a (specific or arbitrary) stimulus, in particular a section of a (in the vicinity of the second user device AG2, AG2', AG2'' or communication taking place in a second living space 2, 2', 2'', wherein a parameter of the reaction of the one or more avatars AV1, AV1', AV1'' depends on the one or more parameters (PK1, . .. PK9) of one or more (first, typically human, involving a real first person or between two real first persons) communications K-a, K-b, K-c, K-a', ... and/or by the one or more parameters (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) of one or more (first, involving a real first person or between two real first persons guided, typically human) reactions is determined or adjusted.

The first communication K-a, K-b, K-c, K-a', . , AG1'' or within the first living area 1, 1', 1''. The first communication K-a, K-b, K-c, K-a', . A reassignment of information to specific (first) user devices AG1, AG1', AG1'', (first) living rooms 1, 1', 1'' or first persons P1, P1', P1'' preferably does not take place or can e.g known methods are made more difficult.

In a further example, the living space 2, 2′, 2″, retirement home, a hospital, a nursing home, a reformatory, a public institution. The procedure can be carried out in the context or taking into account the specifics of the place of residence, e.g. a kindergarten, retirement home, hospital, nursing home, or a correctional home. Special properties of such living spaces or the use of such living spaces are taken into account in the process. For example, data, profiles characterizing features of the (first or second) persons and/or specific data or signals directly related to the context of the named devices can be taken into account. Especially in such a specially used property or with special circumstances or with corresponding people, there can be a great need for a communication message that is tailored to the respective person or that requires variety. The corresponding scientific, parametrically represented circumstances can be taken into account when determining or adapting the at least one communication message MS1, MS2, . . . AM1, AM2, AM3, .

As a result of the method, parameters of the sound waves, images or videos associated with one or more communication messages MS1, MS2, ... AM1, AM2, AM3 on the at least one second user device AG2, AG2', AG2'' or within the at least a second living space 2, 2', 2'' created (made perceptible) determined or adapted. The one or more corresponding mathematical Relationships for determining or adapting the parameters can expediently be varied or (dynamically) controlled, for example depending on at least one respectively valid optimization criterion (OK1, OK2, OK3, . . . ).

A large number of features of the invention result from the above statements, which are advantageous both individually and in various combinations. The invention can meet diverse needs of people. In particular, the invention can help to deal with the lack of time for communication or a lack of emotional exchange that is typical for modern people.

Furthermore, an improved exchange, e.g. with regard to emotions, between a large number of user devices AG1, AG1', AG1'', AG2, AG2', G2'' or living rooms 1, 1', 1'', ... 2 , 2′, 2″ can be achieved without an unwanted or disproportionate amount of information, information overload, perception overstimulation or other unwanted effects occurring. Furthermore, an emotional as well as psychological effect can be predicted and dosed much better, especially in the case of contents AI2, AI2'', VI2, VI2'' to be output which are predominantly the same or remain the same.

With the invention, both an objectively measurable and a subjectively perceived standard of living of people can be increased.

EXAMPLE 3 (with multiple, e.g. iterative or recursive application of the steps)

In the vicinity of one or more first user devices AG1, AG1', AG1'' or within one or more first living spaces 1, 1', 1'', media content MI1, MI2 is output (e.g. by the respective user device AG1, AG1', AG1'' or a different output device AV1, AV2, etc.). It can be a media content MI1 selected by a (first) person P1, P1', P1'' (e.g. user of the user device AG1, AG1', AG1'') or by one of the (first) person P1, P1', P1' 'Act media content MI1 offered for output. The media content MI1 is, in particular, a useful signal or useful content that is desired and/or already largely present. If necessary, this can also be selected independently of the procedure, e.g. by a person. An example of such content can be a radio or television broadcast, a film, a dramaturgical work, a streamed content from an external source, e.g. from the Internet. Alternatively or additionally, media content MI2 can be output in the first environment of one or more first user devices AG1, AG1', AG1'' or within one or more first living spaces 1, 1', 1''.

One or more parts (sections, content) MI-b of the media content MI2 is, e.g. a part of a communication message AS1 ', AS2', ... AM1 ', AM2', AM3 '..., wherein at least one Parameters (PMS1', PMS2', ... PAM1', PAM2', PAM3') of the communication message AS1', AS2', ... AM1', AM2', AM3' in the process, e.g. in a preceding time interval or step, e.g. in a step (8) of the method, has already been determined or adjusted, or is determined or adjusted at the current time interval. For example, at least a section of a stimulus output for a first person P1, P1', P1'' in section M12-b, based on parameters (PMS1, PMS2, ... PAM1, PAM2 , PAM3, ...) are generated or have (already) been generated.

For example, this communication message AS1', AS2', ... AM1', AM2', AM3', ... , in particular one or more variants of a communication message AS1', AS2', ... AM1', AM2', is or were AM3', ... , selected or adjusted depending on the one or more parameters (PK1', PK2', ... PK9') of a communication K-a', K-b', K-c', K-a '' in the vicinity of a user device or within a living space, which or which at the same time or in a previous execution of the corresponding steps (3), (8) of the method the first user device AG1, AG1 ', AG1' 'or the first living space 1, 1', 1'' is or has been and/or depends on one or more parameters (PRMI1', PRMI2', ...) or (PRMI-a', PRMI-b', PRMI-c' , ...) a reaction of at least one person to media content MI1, MI2, ... on a user device or within a living space, which at the same time or in a previous execution of the corresponding steps (8) of the method is the first living space 1, 1', 1'', is or has been the first user device AG1, AG1', AG1''.

Alternatively or additionally, a media content MI1, MI2, ... in the one or more first living spaces 1, 1 ', 1''(eg as the first information described in this document or according to the first information) are output to a (possible) reaction of the at least one person within the living space 1, 1', 1'' to stimulate, in particular to stimulate. Such media content MI2 or a Section of the media content MI-b can be a sound, an image, a sequence of sounds or images that are output as such (e.g. separately) or within a content MI2 to be output (e.g. in a media content MI2, integrated into a larger multimedia program) . Such media content MI1, MI2, in particular sections MI-b, can be selected in such a way that they evoke (in particular certain) reactions or reactions of a certain type from at least one person or to certain parameters of the reactions or parameters of certain types of at least one person determine.

For example, media content, in particular sections MI-a, MI-b, MI-c of one or more media content MI1, MI2, ... can be selected and output in the method (preferably) whose effect or effectiveness (PWMI-a, PWMI -b, PWMI-c, ...) are known or tested a-priori for stimulating a reaction, or sections MI-a, MI-b, MI-c can be modified in such a way that they can be used to stimulate (certain ) Reactions or reactions of certain types of the at least one person P1, P1', P1'', e.g. a certain first person P1, P1'. P1'' or a first person P1, P1', P1' belonging to a specific group of people. For example, sections MI-a, MI-b, MI-c are selected in order to use them to carry out a specific reaction, reaction with specific parameters (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a , PRMI-b, PRMI-c ...) of the at least one person and in particular to determine the one or more parameters of the reaction (PRK1-a, PRK1-b, PRK1-c, ...). In an analogous manner, portions of the (first) communication K-a, K-b, K-c; K-a', which (at least predominantly or decisively) stimulate (or should stimulate) reactions of the at least one first person P1, P1', P1'' for determining the first parameters (PRK1-a, PRK1-b, PRK1- c, ... PRK1-a') of the reactions, e.g., be selected from a comparatively large number of different sections. The sections of communication K-a, K-b, K-c; K-a' or the corresponding parameters (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a') of the reactions can, for example, depend on, e.g. machine-determined or estimated, effect or effectiveness (PWK1-a , PWK1-b, PWK1-c, PWK1-a', ..., of the respective parts (sections or contents) can be selected.

Generating, in particular outputting, the at least one correspondingly selected or modified media content MI1, MI2, e.g. a section MI2-b on the one or more first user devices AG1, AG1', AG1'' or in the one or more first living spaces 1, 1', 1'' can be executed depending on the data determined in the procedure. For example, the determination or provision of the media content MI1, MI2, in particular a (appropriately selected, inserted, modified) section M12-b, in or from the remote computing unit R2 (cloud, Internet platform, etc.), e.g. according to the correspondingly selected criteria to be executed.

• - Ermitteln einer ersten Information i1 zum Anregen oder Beeinflussen einer Kommunikation K-a, K-b, K-C, K-a' oder einer Reaktion der einen oder mehreren ersten Personen P1, P1', P1'' in der Umgebung eines oder mehrerer ersten Anwendergeräte AG1, AG1', AG1'';
• - Ermitteln einer zweiten Information i2 zum Anregen oder Beeinflussen einer Kommunikation K-a, K-b, K-C, K-a' oder einer Reaktion der einen oder mehreren zweiten Personen P1, P1', P1'' in der Umgebung eines oder mehrerer ersten Anwendergeräte AG1, AG1', AG1'';
• - Veranlassen eines von der ersten Information i1 und/oder zweiten Information i2 abhängigen Anregens oder Beeinflussens der Reaktion der einen oder mehreren ersten Personen P1, P1', P1'', an einem ersten Anwendergerät AG1, AG1', AG1'' bzw. der einen oder mehreren zweiten Personen P1, P1', P1'', an einem zweiten Anwendergerät AG2, AG2', AG2''; Dies kann insbesondere mittels einer (ggf. als die erste Information i1 bzw. zweite Information i2 ausgewählten bzw. mit der ersten Information i1 bzw. zweiten Information i2 modifizierten) ersten Kommunikationsbotschaft AS1', AS2', ... AM1', AM2', AM3' erfolgen. Die Kommunikationsbotschaft AS1', AS2', ... AM1', AM2', AM3' kann die erste Information i1 bzw. zweite Information i2 umfassen oder abhängig von dieser modifiziert sein;

• - Ermitteln eines oder mehrerer ersten Parameter der einen oder mehreren angerengten oder beeinflussten Kommunikation K-a, K-b, K-c, K-a' und/oder Reaktionen der einen oder mehreren Personen P1, P1', P1'', und
• - Bereitstellen einer Information auf Basis des einen oder mehrerer ermittelten ersten Parameter und/oder zweiter Parameter zum Erzeugen zumindest einer Kommunikationsbotschaft AS1, AS2, ... AM1, AM2, AM3 an einem zweiten Anwendergerät AG2, AG2', AG2''; bzw.
• - Bereitstellen einer Information auf Basis des einen oder mehrerer ermittelten ersten Parameter zum Trainieren und/oder Betreiben zumindest einen neuronalen Netzes DNN1, DNN2, DNNZ; Die zumindest eine Kommunikationsbotschaft AS1, AS2, ... AM1, AM2, AM3 kann abhängig von dem neuronalen Netz DNN1, DNN2, DNNZ erzeugt werden;

In summary, a variant of the procedure can be presented as follows:

• - determining first information i1 for stimulating or influencing a communication Ka, Kb, KC, Ka' or a reaction of the one or more first persons P1, P1', P1'' in the vicinity of one or more first user devices AG1, AG1', PLC1'';
• - Determining second information i2 for stimulating or influencing a communication Ka, Kb, KC, Ka' or a reaction of the one or more second persons P1, P1', P1'' in the vicinity of one or more first user devices AG1, AG1', PLC1'';
• - Initiating a stimulus or influencing of the reaction of the one or more first persons P1, P1′, P1″ on a first user device AG1, AG1′, AG1″ or the first user device AG1, AG1′, AG1″ or the one or more second persons P1, P1', P1'' on a second user device AG2, AG2', AG2''; This can be done in particular by means of a first communication message AS1', AS2', ... AM1', AM2' (possibly selected as the first information i1 or second information i2 or modified with the first information i1 or second information i2 AM3' take place. The communication message AS1′, AS2′, .

• - determining one or more first parameters of the one or more stimulated or influenced communication Ka, Kb, Kc, Ka' and/or reactions of the one or more persons P1, P1', P1'', and
• - Providing information based on the one or more determined first parameters and/or second parameters for generating at least one communication message AS1, AS2, ... AM1, AM2, AM3 on a second user device AG2, AG2', AG2''; or.
• - Providing information based on the one or more determined first parameters for training and/or operating at least one neural network DNN1, DNN2, DNNZ; The at least one communication message AS1, AS2, . . . AM1, AM2, AM3 can be generated depending on the neural network DNN1, DNN2, DNNZ;

In this case, the triggering or influencing of the reaction of the one or more persons P1, P1', P1'' on a first user device AG1, AG1', AG1'', dependent on the first information i1 and/or on the second information i2, can be or second user device AG2, AG2', AG2'' (e.g. by means of a first communication message AS1', AS2', . . . AM1', AM2', AM3'), depending on the neural network DNN1, DNN2, DNNZ.

The first information i1 and/or the second information i2 can occur as a function of the at least partially trained neural network DNN1, DNN2, DNNZ and/or during the training of the neural network DNN1, DNN2, DNNZ. The first information i1 and/or the second information i2 for (further) training the neural network DNN1, DNN2, DNNZ. The determination of the first information i1 and/or the second information i2 or the corresponding stimulation of an effect or reaction in the respective person can take place for training the neural network DNN1, DNN2, DNNZ.

For example, a communication K-a, K-b, K-C, K-a′ or a reaction of the one or more first persons P1, P1′, P1″ can be stimulated or influenced to carry out the training. The at least one piece of first information i1 and/or second information i2 can be influenced, in particular controlled, by the neural network DNN1, DNN2, DNNZ to be trained.

For example, a parameter of the first information i1 or the second information i2, a selection of a first user device AG1, AG, AG'' on which this is to be output, depending on the training process, in particular depending on the neural network DNN1 to be trained, DNN2, DNNZ take place. This can be carried out in a training phase or several times, e.g. regularly for updating the data or for generating a checkpoint for operating the at least one neural network DNN1, DNN2, DNNZ.

Communication(s) or the reaction(s) can be stimulated or influenced, e.g. by means of any media content that people can directly perceive. For example, the first person P1, P1', P1' is stimulated or influenced by outputting the first information i1 (possibly in each case) on the one or more first user devices AG1, AG1', AG1'' in (any) suitable form .

Depending on the first information i1, a first communication message AS1', AS2', . Depending on the first information i1 (possibly in each case), a first avatar AV1, AV1′, AV1″ perceptible on the one or more user devices is particularly preferably influenced, in particular one or more operating parameters of the first avatar AV1, AV1′, AV1 '' for stimulating or influencing the respective first person P1, P1', P1'' varies.

Thereupon, e.g. in the next step of the method, the determination or adjustment of a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... be carried out for output on the second user device AG2, AG2', AG2'' or within the second living area 2, 2', 2''. The at least one second living space 2, 2', 2'' or the second user device AG2, AG2', AG2' can be the living space or user device which at the same time or in at least one of the preceding steps of the method is a first Living space 1, 1', 1'' or a first user device AG1, AG1', AG1'' is or was. The one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... can depend on the parameter (PRMI1 ', PRMI2', ...) of the reaction and/or depending on the one or more parameters (PK1', PK2', ... PK9') of a communication K-a'', K-b'', K- c''', K-a''' are determined or adjusted within a living space, which at the same time or in a previous execution of the method is or was the first living space 1, 1', 1'' and/or dependent on one or several parameters (PRMI', PRMI', ...) of a reaction of at least one person to media content MI1, MI2 within a living space, which at the same time or in at least one of the preceding steps of the method is the first living space 1, 1', 1'' is or was.

(All or selected) steps (3) (8) of the method can be repeated several times (between any first selection of living spaces, user devices, people and any second selection of living spaces, user devices or people).

If steps (3) (8) of the method are carried out several times, at least one living space, user device or person can use a first living space 1, 1', 1'', a first user device AG1, AG1', AG1'' or a first person P1, P1', P1'' (e.g. for a number of other, second living spaces 2, 2', 2'', user devices AG2, AG2', AG2'' or persons P2, P2', P2'' ), and several times a second living space 2, 2', 2'', a second user device AG2, AG2', AG2'' or a second person P2, P2', P2'' (e.g. for a number of other, first living spaces 1 , 1′, 1″, user devices AG1, AG1′, AG1″ or first persons P1′, P1′, P1″). A repeated, in particular mutual, influence on the respective parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the respective (e.g. next) communication message MS1, MS2, ... AM1, AM2, AM3 , ... on a (next) second user device AG2, AG2', AG2'', in a (next) second living space 2, 2', 2'' or a (next) second person P2, P2', P2' ' (and thus possibly to the corresponding persons P2, P2', P2'').

The method can be repeated, e.g. on the extent of the effect of a section of the communication message MS1, MS2, ... AM1, AM2, AM3, ... or on the reaction of at least one second person P2, P2', P2'' include this dependent (e.g. caused or controlled depending on this) execution or repetition of steps (3) and (8).

For example, steps (3) and (8) can be executed multiple times in succession with or without interruptions or intermediate storage of the results, or the sequence of steps that each function according to the principle of steps (3) and (8) can be repeated. If an effect or reaction corresponding to a goal, target value (e.g. on or from persons P2, P2', P2'', in particular belonging to certain groups of people) and/or a dissemination of the communication message MS1, MS2, . .. AM1, AM2, AM3, ... (e.g. among the people P2, P2', P2'', perhaps belonging to certain groups of people), this can be saved and (e.g. for other people P2, P2', P2' ', or P3, P3', P3'', for example belonging to certain groups of people, in particular with a similar affiliation to the groups of people) are provided.

In other words, a communication message MS1, MS2, ... AM1, AM2, AM3, ... adapted several times can be provided as a finished work, in particular depending on the achievement of a certain goal, e.g. a target value of the effect.

Each of the changes or influences on the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication messages MS1, MS2, ... AM1, AM2, AM3, ... (actual change of the one or several parameters in a step (8) or repetition of steps (3) and (8) of the method) or on a corresponding effect of the communication messages MS1, MS2, ... AM1, AM2, AM3, ... on a person P2, P2′, P2″ can also turn out to be or be selected to be comparatively small. In this case, for a (repeated, mutual) influence as time progresses, in particular after longer time intervals of several days, weeks or months, and/or in the event of a spread to several thousand or millions of user devices AG1, AG1', AG1', .. AG2', AG2', AG2'', living rooms 1, 1', 1', ... 2, 2', 2'' ... or the (first, second, first and second) persons P1, P1 ', P1', ... P2, P2', P2'' are executed. Nevertheless, a comparatively significant effect (e.g. as the goal, target value, optimization criterion OC1, OC2, OC3, ...) can be selected or brought about.

The resulting effect, e.g. a specific effect to be achieved, can relate to an emotional state, needs, motives, actions, state of personalities, ego states, etc. (e.g. according to a psychological model, behavioral model, communication model).

The effect or the result can be controlled in the process, e.g. by the change, e.g. by the so-called machine learning or training of the corresponding regulations, logics, rules, coefficients, weight information of the mathematical context, or e.g. to a correspondingly selected target value, goal or be controlled or regulated towards the target value.

In particular, the at least one mathematical relationship according to which the determination or adjustment of the one or more parameters of the communication message MS1, MS2, ... AM1, AM2, AM3, ... is carried out can have at least one dependency on a random variable (a random value, a analog random variable, or from a random number generator). Among other things, you can always New, at least partially randomly controlled influences, impulses or trends in the system or in a system made up of the user devices AG1, AG1', AG1'', ... AG2, G2', AG2'', living rooms 1, 1' participating in the method , 1'', 2, 2', 2'' or persons P1, P1', P1', ... P2, P2', P2''. These can each find a certain harmony and, if necessary, transform, strengthen or propagate through an influence when steps (3) and (8) of the method are repeated several times, e.g. if they either at least have a certain harmony on a sufficient number of user devices, in find a sufficiently large number of living spaces or with a sufficient number of people, or find at least a comparatively high degree of harmony with at least a few user devices, in at least a few living spaces or with at least a few people.

Such a harmony can, for example, be an effect of the communication messages on the people or the reaction of the people to the communication messages that corresponds to a goal, target value, target value range. Communication messages MS1, MS2, ... AM1, AM2, AM3, ..., in particular sections of media expenditure that (alone, in combination with other sections, content to be issued and/or in a specific context or parameter of the scene) no or no effect corresponding to the target value or no corresponding reaction of one or more second persons P2, P2', P2'', e.g. certain second persons or persons belonging to certain groups of persons, can at least partially or at least stepwise from further or subsequently generated Communication messages are at least primarily excluded and/or are generated predominantly with greatly changed parameters (e.g. on a next second user device). Thus, a desired (positive or defined as positive) effect, e.g. a desired degree of an effect, can be achieved for the users and/or operators of the method.

For example, the mathematical relationship can be trained, e.g. according to a predefined optimization criterion (OK1, OK2, OK3, ...) or to strive for or achieve a specific effect of the communication message or to a specific reaction of the at least one second person to the communication message or to be learned. This can be done by executing steps (3), (8) and, if necessary, (10) of the method on a large number of (first and second) user devices AG1, AG1', AG1', AG2, AG2', AG2'', people P1, P1', P1', P2, P2', P2'' or living rooms 1, 1, 1', 2, 2', 2'' and/or by performing the steps (3 ), (8) and, if applicable, (10) of the procedure.

Several variants of an (initial or already determined or adapted) media content MI1, MI2, in particular the section MI-b of the media content MI2, can be sent to one or more different first user devices AG1, AG1', AG1'' or for one or more different first Persons P1, P1', P1'' are output.

Generating (or forming) the variants of the media content MI1, MI2, in particular the section MI-b of the media content MI2, can be done by changing a parameter of the media content MI1, MI2, MI-b , at least partly depending on further (first and/or second) parameters, and/or depending on a random variable.

For example, several variants differ by a different first piece of information, e.g. changed according to a regulation. This can vary in part depending on other (first and/or second) parameters and/or depending on a random variable, e.g. be changed from variant to variant. In particular, the creation or the selection of the variants or the offer of the media content MI1, MI2, in particular the section MI-b of the media content MI2 to (specific, different) first persons P1, P1', P1'' for the purpose or be carried out in such a way that the first parameters of the reaction of the first persons P1, P1', P1'' can be determined, e.g. in a desired or sufficient quantity or diversity. Such variants can also be executed depending on their (respectively) predicted effect on a specific person or person belonging to a specific group of people or depending on the predicted reaction of a specific person or person belonging to a specific group of people.

Steps (3), (8) and, if necessary, (10) can be repeated multiple times, with multiple or respectively new first parameters being determined and taken into account and/or multiple variants of the communication message MS1, MS2, . . . AM1, AM2 , AM3, ... (e.g. for the same or for several different second people, e.g. belonging to certain groups of people). Preferably, variants of the communication message MS1, MS2, ... AM1, AM2, AM3, ... can only or primarily be provided and/or as the media content MI2, in particular the section MI-b of the media content (for a further Guidance or analogous repetition of steps 3 and 8) can be used if they have an effect corresponding to the target or target value for a respective second person P2, P2', P2'''.

Only or primarily communication messages MS1, MS2, ... AM1, AM2, AM3, ... or variants of the communication message MS1, MS2, ... AM1, AM2, AM3, ... are generated or selected for an effect corresponding to the target value is predicted, and/or communication messages MS1, MS2, ... AM1, AM2, AM3, ... or variants of the communication message MS1, MS2, ... AM1, AM2, AM3, ... , discarded or changed, for which an effect deviating from the target value is predicted. For example, unsuccessful jokes (to which no reaction was recognized as a sufficiently intense laugh) are sorted out, so to speak, and/or jokes of the appropriate type are generated, e.g. also for other persons P2, P2', P2'', P3, P3', P3'' with a similar affiliation to groups of people are suppressed.

In an example of the method, the communication message MS1, MS2, ... AM1, AM2, AM3, ... a (generated in the method) creative (at least seemingly creative, imitating a creative process) communication message, e.g. an artistic performance or a work of art, include, be such or form together with other content (e.g. on the second user device or in the environment). The creative output MS1, MS2, ... AM1, AM2, AM3, ... may in particular be music, a visual performance and/or a performance performed by or on behalf of the (respective, first and/or second) person, e.g. comprising a dance, presentation, entertainment program or cabaret. It can be an interactive communication message or interactive avatars AV1, AV1', AV1'', e.g. with the (second) person on the second user device AG2, AG2', AG2'', in the (second) environment of the second user device AG2, AG2′, AG2″ or within the second living space 2, 2′, 2″ acts or interacts unilaterally or mutually.

The generation of a (creative) communication message MS1, MS2, ... AM1, AM2, AM3, ... is described below using the example of generating the communication message MS1, MS2, ... AM1, AM2, AM3, ... comprising a ( new music or melody generated or adapted in the process is explained. Other types of, in particular creative, communication messages MS1, MS2, ... AM1, AM2, AM3, ..., e.g. of poems can be generated in a correspondingly analogous manner.

For example, a first (initial, initial) media content (e.g. music section, a melody, e.g. comprising several sections or musical phrases of a melody) MI1, MI2 in the vicinity of one or more first user devices AG1, AG1', AG1'', e.g generated, in particular output, one or more first user devices AG1, AG1', AG1''. There can be several variants of a media content MI1, MI2, which e.g. on several first user devices AG1, AG1', AG1'', several first living rooms 1, 1', 1'' or several first persons P1, P1', P1'' , in particular belonging to one or more specific groups of persons, e.g. at least partly randomly and/or at least partly dependent on the information characterizing the groups of persons (e.g. categories of personal characteristics) of the persons P1, P1', P1'' are distributed.

This media content, e.g. a first section of music, e.g. a first melody, can be based on predefined output data or selected according to a specific criterion, e.g. sections of predefined melodies, or can be generated by means of any algorithm, in particular at least partially controlled by a random process become. In other words, the media content MI1, MI2 selected at least partially randomly or according to predetermined criteria with regard to further steps of the method can also be involved.

The first parameters (PRM1-a, PRM1-b, PRM1-c, ...) or (PBL1, PBL2, ...) of the reactions of the one or more first persons P1, P1', P1'' to the (small) sections of the (initial, initial) media content MI1, MI2, e.g. to certain sections of music, musical phrases, jokes, punchlines, certain parts of a visual or multimedia piece of art, determined. Depending on the determined first parameters (PRM1-a, PRM1-b, PRM1-c, ...) or (PBL1, PBL2, ...), in particular on the sequence of the parameters (PRM1-a, PRM1-b, PRM1-c, ...) or (PBL1, PBL2, ...) for (respectively) specific sections of the first media content MI1, MI2, a second (i.e. "first creative") communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g. as a MI2 ', which is dependent on one or more first parameters of certain or adapted (changed) media content, in particular comprehensively a (changed or newly generated) music section M12-B or melody on several second user devices AG2, AG2', AG2''.

For example, the (second) parameters that are characteristic of one or more (virtual or real) instruments and/or the timbres of one or more instruments (in particular a deviation of the note "La" of the virtual musical instrument from the typical value of 440 Hz) , with which at least part of the communication message MS1', MS2', ... AM1', AM2', AM3', ... is generated, for example by means of a synthesizer operated as part of the method or a music generator or image generator of any design, be determined or adjusted.

In particular, the second parameters (PMS1, PMS2, . . . PAM1, PAM2, PAM3, relate. The parameters can indicate various characteristics of the musical harmony. Preferably, the (first and second) parameters (in each case where appropriate) relate to one or more (short) segments, e.g. short segments of music. A parameter can also identify the time signature, tonality (minor, major), tempi (allegro, largo, andante, ...), a form of the piece of music. Of course, the (first or second) parameters can also characterize other features of a piece of music, e.g. known from systematic musicology.

In this way, the parameters of the one or more reactions of the second persons P2, P2', P2'' (to the sections that have already been changed or generated based on the first reactions), e.g. music sections, can be determined. These can in turn be used in an analogous manner to the first parameters (PRM1-a', PRM1-b', PRM1-c', ...) or (PBL1, PBL2, ...) or as the first parameters (PRM1-a', PRM1-, PRM1-c', ...) or (PBL1', PBL2', ...) and in a further execution of the method or the steps of method (3) and ( 8), e.g. processed in an analogous manner. A further (i.e. “second creative”) communication message MS1', MS2', ... AM1', AM2', AM3', ... can thereby be generated.

In particular, the one or more parameters PWM1-a, PWM1-b, PWM1-c, ... of the (also originally used, "uncreative") media content MI1, MI2 can be roughly comparable types of parameters (in the case of music in relation to Notes, bars, phrases, etc.) such as the (second, to be determined or adapted) parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1', MS2', ... AM1 ', AM2', AM3', ... be.

As already shown, at least part of the (creative) communication message MS1, MS2, ... AM1, AM2, AM3, ..., a variant of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., and/or a change in the creative communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g. change in the parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) at least partially dependent generated by a random number generator, in particular by an excited generator, e.g. by means of a specific resonance or as a function of further information. Thus, for example, a number or diversity of the variants of the parameters of the communication messages or the communication messages that can be processed further or are generated for a provision can be increased.

For example, a respective artistic or creative value or effect does not have to be technically determined or specified in the process. Rather, a (possibly subjective) effect on a person (e.g. on a subjective perception of a person), e.g. as the first parameters (PRM1-a', PRM1-b', PRM1-c', ...) or ( PRK-a, PRK-b, PRK-c, PRK-a'...) of the reaction are recorded and processed as objectively (using technical means) measurable or analyzable variables.

The system according to the invention or one or more personality models PM1, PM1′, PM1″ or avatars AV1, AV1′, AV1″ can (at least initially) be operated without systemic or systematic knowledge of human perception, complex emotional, psychological , cognitive processes, humor, creativity or to generate appropriately effective or creative content. It can still produce good jokes (optimized for good effect and up-to-date) without understanding them yourself.

• - Ermitteln eines oder mehrerer ersten Parameter einer Reaktion (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) einer oder mehrerer ersten Personen P1, P1', P1'' innerhalb einer Kommunikation K1-a, K1-b, K1-c, K1-a' und/oder auf einen oder mehrere Abschnitte MI-a, MI-b, MI-c, ... oder Inhalte AI1, AI1', ..., VI1, VI1' eines Mediainhalts MI1, MI2, ... an einem oder mehreren ersten Anwendergeräten AG1, AG1', AG1'' in einem Schritt (3), und/oder
• - Ermitteln eines oder mehrerer zweiten Parameter einer Reaktion (PRK2-a, PRK2-b, PRK2-c, ... PRK2-a', PRMI-a, PRMI-b, PRMI-c ...) einer oder mehrerer zweiten Personen P2, P2', P2'' innerhalb einer Kommunikation K2-a, K2-b, K2-c, K2-a' und/oder auf einen oder mehrere Abschnitte MI-a, MI-b, MI-c, ... oder Inhalte AI1, AI1', ..., VI1, VI1' eines Mediainhalts MI1, MI2, ... an einem oder mehreren zweiten Anwendergeräten AG1, AG1', AG1'' in einem Schritt (3); optional ausgestaltet zum: Bereitstellen der Daten auf Basis der ersten Parameter und/oder auf Basis der zweiten Parameter zum Trainieren zumindest eines neuronalen Netzes DNN1, DNN2, DNNZ. und
• - Bestimmen oder Anpassen eines oder mehrerer Parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ..., abhängig von dem einen oder mehreren ersten Parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) und/oder abhängig von dem einen oder mehreren ersten Parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) bzw. abhängig von dem trainierten neuronalen Netz DNN1, DNN2, DNNZ, in einem Schritt (8),
• - Bereitstellen einer von dem einen oder mehreren Parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) zum Erzeugen der zumindest einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... abhängigen Information an ein erstes Anwendergerät AG1, AG1', AG1'', und/oder an ein zweites Anwendergerät AG2, AG2', AG2'' in einem Schritt (10);

For example, the procedure includes:

• - determining one or more first parameters of a response (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) of one or more first persons P1, P1', P1'' within a communication K1-a, K1-b, K1-c, K1-a' and/or to one or more sections MI-a, MI-b, MI-c, ... or content AI1, AI1', ..., VI1, VI1' of a media content MI1, MI2, ... on one or more first user devices AG1, AG1', AG1'' in a step (3), and/or
• - determining one or more second parameters of a reaction (PRK2-a, PRK2-b, PRK2-c, ... PRK2-a', PRMI-a, PRMI-b, PRMI-c ...) of one or more second persons P2, P2', P2'' within a communication K2-a, K2-b, K2-c, K2-a' and/or to one or more sections MI-a, MI-b, MI-c, ... or contents AI1, AI1', ..., VI1, VI1' of a media content MI1, MI2, ... on one or more second user devices AG1, AG1', AG1'' in a step (3); optionally configured for: providing the data based on the first parameters and/or based on the second parameters for training at least one neural network DNN1, DNN2, DNNZ. and
• - Determining or adjusting one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of a communication message MS1, MS2, ... AM1, AM2, AM3, ..., depending on the one or a plurality of first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) and/or dependent on the one or more first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) or depending on the trained neural network DNN1, DNN2, DNNZ, in one step (8),
• - Providing one of the one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) for generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... dependent information to a first user device AG1, AG1', AG1'', and/or to a second user device AG2, AG2', AG2'' in a step (10);

The provision and/or the generation can take place on the same first user device AG1, AG1', AG1'' or on one or more of the other first user devices AG1, AG1', AG1''.

For example, one or more first items of information for stimulating or influencing the communication K1-a, K1-b, K1-c, K1-a', ... and /or for stimulating or influencing the reaction of the one or more first persons P1, P1', P1''. In particular, the stimulating or influencing of the communication K1-a, K1-b, K1-c, K1-a', ... and/or the reaction of the one or more first persons P1, P1', P1'' takes place on the one or more first user devices AG1, AG1', AG1'' using one or more first items of information i1. This can also be done in a step (3) of the method.

One or more of the first items of information i1 can be created, selected or generated in such a way that there is no or only a slight (e.g. infinitesimal) disturbance of the person and/or no or only slight (e.g. infinitesimal) change in content or an effect of a ( e.g. media content to be output anyway).

The first information i1 can be stimulation information, e.g. information i1 that specifies the generation of a stimulation with a specific parameter. This can be determined or selected in particular to stimulate specific, e.g. subjective, psychological, cognitive stimuli. The one or more first persons with the first piece of information i1 can also be stimulated, in particular provoked, to a specific behavior pattern, effect, communication effect known, for example, from psychology, communication or behavioral research. The communication message MS1, MS2, . . . AM1, AM2, AM3, .

For example, on the one or more first user devices AG1, AG1', AG1'', one or more first sections MI-a, MI-b, MI-b of the media content MI2 for stimulating or influencing the reaction of the one or more first persons P1 , P1', P1'' created or modified. For example, a section of the media content can be generated or changed as a function of or by means of said first information i1.

In a simplified case, the first information i1 can be output with a section of the first media content MI1 (e.g. also to be output otherwise, for example selected by the relevant first person P1, P1', P1'' or offered to the person). For example, the first piece of information i1 can be output at the same time as (other or specific) content of section MI1, MI2, combined with it, integrated into it (e.g. in terms of content) or offset.

For example, the first information i1 can be a content and/or an instruction (instructions) for a specific change in a section or information to be output on the (eg specific, relevant) first user device AG1, AG1′, AG1″. Also in this case it can be about a small change at most, change of a small part of the content and/or change within a short section.

For example, several different pieces of first information i1 and/or several different variants of the media content MI2, in particular one or more sections MI-a, MI-b, MI-c of the media content MI2, are sent to the one or more first user devices AG1, AG1', AG1 '' output. For example, several different items of first information i1 or different variants of the media content MI2 can each be sent to first user devices AG1, AG1', AG1' by different specific first persons P1, P1', P1'' or first persons P1, P1', P1''. which belong to different groups of people. These can also be determined, at least in part, as a function of a random variable or be changed or mutated according to a predetermined condition.

For example, different first items of information i1 or different variants of the sections of the media content MI2 can be output for first people P1, P1', P1'' who belong to different groups of people (e.g. partially or predominantly). In particular, different variants of the sections MI-b can differ by the different first information i1 (which is added to the sections, contents of the sections MI-a, MI-b, MI-c or which specifies a specific change in the sections) .

For example, the one or more (different) pieces of first information i1 or first sections of the multimedia content MI-b for one or more first user devices AG1, AG1', AG1'' can be such that one or more reactions, e.g. reactions of certain types and /or intensities, one or more first persons P1, P1', P1'', e.g. certain first persons or first persons belonging to certain groups of persons, are stimulated or influenced. The one or more first parameters desired or required, e.g. for updating, improving or training the system, in particular the mathematical relationship, can be determined. For example, the reactions of the one or more first persons P1, P1', P1'' can be stimulated or influenced in such a way that the desired first parameters are then primarily determined. For example, said several different variants of the media content MI2, in particular the sections MI-b, e.g. from the same initial data, from the same number of contents to be output or from the same media program) can be generated using the (different from one another) first information i1.

For example, the one or more pieces of first information i1 and/or one or more sections MI-a, MI-b, MI-c of the media content M2 for output to one or more first user devices AG1, AG1', AG1'' in one step ( 3) depending on the one or more second parameters determined in step (8) (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) at least one communication message MS1, MS2, ... AM1, AM2, AM3 , ... determined or adjusted. In particular, first information i1 (for a first user device AG1, AG1', AG1'' or for a specific first person or a first person belonging to a specific group of people) can each depend on the recognition of a specific person P1, P1', P1'' or the group of people of the first person P1, P1', P1'' in the vicinity of the first user device AG1, AG1', AG1''.

For example, the at least one parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) determined or adapted in step (8) of the communication message MS1, MS2, ... AM1, AM2, AM3, .. for generating or changing the media content MI2, in particular at least a section MI-b of the media content MI2 for output on one or more first user devices AG1, AG1', AG1'', in particular for executing a step (3) with means of the one or several first user devices AG1, AG1', AG1''.

For example, a parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3, .. used to generate or change the media content MI2, in particular at least a section MI-b of the media content MI2 and/or a part of a communication message MS1, MS2, ... AM1, AM2, AM3, .. be used as at least a portion MI-b of a media content MI2 for performing step (3).

For example, the at least one second user device AG2, AG2', AG2'' is temporarily a first user device AG1, AG1', AG1'' or is temporarily used as a first user device AG1, AG1', AG1'', in particular for executing a step (3rd ), handled, and/or one or more first user devices AG1, AG1', AG1'' or another third user device AG3, AG3', AG3'' are temporarily a second user device AG2, AG2', AG2'' or are temporarily used as a second user device AG2, AG2', AG2'', in particular for carrying out a step (8). The term "temporarily" is to be understood as particularly temporarily. This means that the user devices can change their roles or fulfill different roles compared to third user devices (different from the first or second user devices).

In particular, one of the communication messages MS1, MS2, ... AM1, AM2, AM3, ... on the second user device AG2, AG2', AG2'' can also be used as one or more first communication messages, in particular in each case on the one or multiple first user devices AG1, AG1', AG1'' are generated. These can have different parameters among themselves or in comparison to the (second) communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g. perceptible with different perception channels of the respective first person P1, P1', P1'' be generated. In particular, several of the first communication messages can be generated at least partially independently and/or at least partially dependent on one another. For example, the first communication message, at least to or from the point of view of another person, e.g. a second or third person, can be media content MI2 or can be used as such.

For example, the method includes determining one or more first parameters (PS1, PS2, ...) of the scene S1, ... S8, a first parameter (PE1, PE2, ...) of an emotion, a first parameter (PA1, PA2, ...) an intention and/or a parameter identifying the affiliation of the one or more first persons P1, P1', P1'' in the one or more environments of the first user devices AG1, AG1', AG1'' to a or several specific groups of people, and then: determining or adjusting one or more parameters of the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... on a second user device AG2, AG2', AG2'' the determined first parameter (PS1, PS2, ...), (PE1, PE2, ...), ...

For example, a parameter of the effect of at least one communication message MS1, MS2, AM1, AM2, AM3, ... on at least one second person P2, P2', P2'' and/or a parameter of the reaction of at least one second person P2, P2 ', P2'', on the at least one communication message MS1, MS2, AM1, AM2, AM3, ... predicted.

For example, the one or more second parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the at least one communication message MS1, MS2, AM1, AM2, AM3, ... depend on a predicted parameter of the effect the at least one communication message MS1, MS2, AM1, AM2, AM3, ... to at least one second person P2, P2', P2'' and/or a predicted parameter of the reaction of at least one second person P2, P2', P2'' on the at least one communication message MS1, MS2, AM1, AM2, AM3, ..., and/or depending on a target value of an effect of the at least one communication message MS1, MS2, AM1, AM2, AM3, ... on at least one second person P2, P2′, P2″ and/or from a target value of a reaction of the at least one second person P2, P2′, P2″ to the at least one communication message MS1, MS2, AM1, AM2, AM3, . . or customized.

In other words, determining or adjusting one or more second parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of a communication message MS1, MS2, ... AM1, AM2, AM3, ... such be stated that the communication message MS1, MS2, ... AM1, AM2, AM3, ... has a specific effect, in particular one corresponding to a goal or target value, on at least one second person P2, P2', P2'' (in the vicinity of the second user device AG2, AG2', AG2'' or within the second living space 2, 2', 2'').

In particular, the (second) parameters can be determined or adjusted, in particular in several steps, in such a way that a reaction corresponding to a target or target value is caused by at least one second person (e.g. a specific person or a person belonging to a specific group of people).

In particular, machine or non-rule-based learning can be carried out, e.g. depending on a large number of the (first and/or second) parameters described in this document. For example, the learning process can be carried out towards a specific goal or target value range in relation to the effectiveness, effect of the communication message or reaction of a person.

For example, said mathematical relationship is trained to achieve a specific goal or target value range of the effect or reaction of at least one specific second person or a second person belonging to a specific group of people. For example, one or more learning processes can have one or more specific goals or target value ranges of the effect of the communication message or the reaction stimulated with it on one or more specific (second) people or second people who belong to specific groups of people. This results in an advantage since the number of variants of the parameters can be for a comparatively small number of groups of people.

• - Ermitteln eines oder mehrerer ersten Parameter einer Reaktion (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a, PRMI-a, PRMI-b, PRMI-c ...) einer oder mehrerer ersten Personen P1, P1', P1'' innerhalb einer Kommunikation K1-a, K1-b, K1-c, K1-a' und/oder auf einen oder mehrere Abschnitte MI-a, MI-b, MI-c, ... oder Inhalte AI1, AI1', ..., VI1, VI1' eines Mediainhalts MI1, MI2, ... an einem oder mehreren ersten Anwendergeräten AG1, AG1', AG1''; und/oder Ermitteln eines oder mehrerer zweiten Parameter einer Reaktion (PRK2-a, PRK2-b, PRK2-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) einer oder mehrerer zweiter Personen P2, P2', P2'' innerhalb einer Kommunikation K2-a, K2-b, K2-c, K2-a' und/oder auf einen oder mehrere Abschnitte MI-a, MI-b, MI-c, ... oder Inhalte AI1, AI1', ..., VI1, VI1' eines Mediainhalts MI1, MI2, ... an einem oder mehreren zweiten Anwendergeräten AG2, AG2', AG2''; in einem Schritt (3); optional ausgestaltet zum: Bereitstellen der Daten auf Basis der ersten Parameter und/oder auf Basis der zweiten Parameter zum Trainieren zumindest eines neuronalen Netzes DNN1, DNN2, DNNZ. und ausgestaltet zum:
• - Bestimmen oder Anpassen eines oder mehrerer Parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ..., abhängig von dem einen oder mehreren ersten Parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) der Reaktion der einen oder mehrerer ersten Personen P1, P1', P1'' innerhalb einer Kommunikation K1-a, K1-b, K1-c, K1-a' und/oder auf den einen oder mehrere Abschnitte MI-a, MI-b, MI-c, ... oder Inhalte AI1, AI1', ..., VI1, VI1' eines Mediainhalts MI1, MI2.... und/oder abhängig von dem einen oder mehreren zweiten Parameter (PRK2-a, PRK2-b, PRK2-c, PRK2-a', ... PRMI-a, PRMI-b, PRMI-c ...) der Reaktion der einen oder mehrerer zweiten Personen P2, P2', P2'' innerhalb einer Kommunikation K2-a, K2-b, K2-c, K2-a' und/oder auf den einen oder mehrere Abschnitte MI-a, MI-b, MI-c, ... oder Inhalte AI1, AI1', ..., VI1, VI1' eines Mediainhalts MI1, MI2...; Bevorzugt kann dies abhängig von dem trainierten neuronalen Netz DNN1, DNN2, DNNZ ausgeführt werden. Alternativ oder zusätzlich kann das zumindest ein neuronales Netz DNN1, DNN2, DNNZ abhängig von dem einen oder mehreren ersten Parameter und/oder einem oder mehreren zweiten Parameter gesteuert werden. ferner kann des ausgestaltet sein zum:
• - Bereitstellen einer Information auf Basis des einen oder mehrerer Parameter (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) zum Erzeugen der zumindest einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... an einem Anwendergerät AG1, AG1', AG1'', ... AG2, AG2', AG2'' und/oder Erzeugen der zumindest einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ..., für eine zweite Person P2, P2', P2'' in einem Schritt (10);

The corresponding system can be designed to:

• - determining one or more first parameters of a reaction (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a, PRMI-a, PRMI-b, PRMI-c ...) of one or more first persons P1 , P1', P1'' within a communication K1-a, K1-b, K1-c, K1-a' and/or to one or more sections MI-a, MI-b, MI-c, ... or Contents AI1, AI1', ..., VI1, VI1' of media content MI1, MI2, ... on one or more first user devices AG1, AG1', AG1''; and/or determining one or more second parameters of a response (PRK2-a, PRK2-b, PRK2-c, ... PRK1-a', PRMI-a, PRMI-b, PRMI-c ...) of one or more second person P2, P2', P2'' within a communication K2-a, K2-b, K2-c, K2-a' and/or on one or more sections MI-a, MI-b, MI-c, . .. or content AI1, AI1', ..., VI1, VI1' of media content MI1, MI2, ... on one or more second user devices AG2, AG2', AG2''; in a step (3); optionally configured for: providing the data based on the first parameters and/or based on the second parameters for training at least one neural network DNN1, DNN2, DNNZ. and designed to:
• - Determining or adjusting one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of a communication message MS1, MS2, ... AM1, AM2, AM3, ..., depending on the one or a plurality of first parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ... PRMI-a, PRMI-b, PRMI-c ...) of the response of the one or more first persons P1, P1 ', P1'' within a communication K1-a, K1-b, K1-c, K1-a' and/or on the one or more sections MI-a, MI-b, MI-c, ... or content AI1, AI1', ..., VI1, VI1' of a media content MI1, MI2 .... and/or depending on the one or more second parameters (PRK2-a, PRK2-b, PRK2-c, PRK2-a' , ... PRMI-a, PRMI-b, PRMI-c ...) the reaction of the one or more second persons P2, P2', P2'' within a communication K2-a, K2-b, K2-c, K2-a' and/or on the one or more sections MI-a, MI-b, MI-c, ... or content AI1, AI1', ..., VI1, VI1' of a media content MI1, MI2.. .; This can preferably be carried out depending on the trained neural network DNN1, DNN2, DNNZ. Alternatively or additionally, the at least one neural network DNN1, DNN2, DNNZ can be controlled depending on the one or more first parameters and/or one or more second parameters. furthermore, the can be designed for:
• - Providing information based on the one or more parameters (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) for generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, .. on a user device AG1, AG1', AG1'', ... AG2, AG2', AG2'' and/or generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ..., for a second person P2, P2', P2'' in a step (10);

A communication message MS1, MS2, . . . AM1, AM2, AM3, . The criteria for the effect (to be stimulated or to be achieved) of the one or more communication messages MS1, MS2, . . . AM1, AM2, AM3, . . . can be selected accordingly.

EXAMPLE 4 (including body language)

An evaluation of a parameter (PBL1, PBL2, ...) of the body language of at least one person in the vicinity of the first user device AG1, AG1', AG1'' or in the respective living space 1, 1', 1'', 2, 2′, 2″ present (each first or second) person P1, P1′, P1′ or P2, P2′, P2″ and the result of the evaluation is processed in the method.

A parameter of a communication message (IBL1, IBL2, ...) expressed with body language can preferably be used by at least one person present in the respective living space 1, 1', 1'', 2, 2', 2'' who participated in said communication K-a, K-b, K-c, K-a' is involved, and/or the at least one section of the media content MI1, MI2, ... perceives, is executed and taken into account.

In this example, the at least one parameter (PBL1, PBL2, ...) of body language is not used, or not only used to determine a communication message (only contained therein), but rather when evaluating the communication message that can be conveyed (via a linguistic transaction or as a whole), e.g which uses Ka, Kb, Kc, Ka to interpret or construe a section of communication. The body language is also determined and taken into account, in particular as a parameter (PBL1, PBL2, . . . ) of a change in body language in connection with the section of media content MI1, MI2.

It can, e.g. from a temporal connection between a parameter (PBL1, PBL2, ...) of a communication message BL1, IBL2, ... expressed or supported with body language and another parameter determined in the process, e.g. a parameter (PK1, PK2 , ... PK9) auditory communication, parameters (PS1, PS2, ...) of the scene S1, ... S8, etc., are determined that a section of body language (PBL1, PBL2, ...) a part of communication is K-a, K-b, K-c, K-a'. Thereupon, one or more further parameters (PK1, PK2, ...PK9) of said communication K-a, K-b, K-c, K-a', e.g. in relation to certain sections K-a, K-b, K-c, K-a' of the communication depending on a or several parameters (PBL1, PBL2, ...) of body language or evaluated.

Alternatively or additionally, a communication message (IBL1, IBL2, ...) expressed with body language (PBL1, PBL2, ...) can, for example, depend on one or more other parameters of the communication K-a, K-b, K-c, K-a', parameters (PS1, PS2, ...) of the scene S1, ... S8 are evaluated, interpreted or interpreted.

One or more parameters (PBL1, PBL2, ...) of a communication message (IBL1, IBL2, ...) expressed with body language can be taken into account in the method, which (explicitly) does not correspond to a (conceivable only optionally available) gesture control application, in particular not for entering control commands (also not for entering specific commands into the audio system ASYS or into the voice control application SSA1, SSA2).

A communication message (IBL1, IBL2, ...) determined in connection with a physical impulse (PBL1, PBL2, ...), in particular a pattern (PBL1, PBL2, ...) of the physical impulse, can, for example, be interpreted as approval, rejection , invitation, rejection, affection, dislike, an intended physical action or movement, intended action, a particular cognitive activity, or the like within the communication K-a, K-b, K-c, K-a'.

One or more parameters (PMS1, PMS2, PAM1, PAM2, PAM3,...) of the at least one communication message MS1, MS2, AM1, AM2, AM3, to be generated in the second living space 2, 2', 2'' can then be ..., in particular within a certain time interval with the body language communication message (IBL1, IBL2, ...), and/or depending on one or more parameters of the body language reaction to the media content MI1, MI2 (in a first living space 1, 1', 1', and/or in a second living space 2, 2', 2') can be determined or adjusted. For example, a content-related parameter (PAM7) of the at least one voice message AM1, AM2, AM3 generated by the voice control application SSA1, SSA2 can also be determined or adjusted.

It is preferably explicitly recognized in the method that a communication message (IBL1, IBL2, . . . ) expressed with body language with a parameter (PBL1, PBL2, . , 1, 1′, 1″ (explicitly) is not aimed at a gesture control application that may be operated (conceivable, only optionally provided) in the living space 2, 2′, 2″, 1, 1′, 1″. For example, this can be recognized by a direction of the communication message (IBL1, IBL2, ...) expressed with the body language with a parameter (PBL1, PBL2, ...).

Alternatively or additionally, depending on the data, a gesture control application operated in the respective living space 2, 2', 2', 1, 1', 1'' (e.g. networked in the house or set up to exchange data with the ASYS audio system) can be determined that a communication message (IBL1, IBL2, ...) expressed using body language does not correspond to a gesture command (according to a stored logic and/or pattern). It can then be decided that the communication message (IBL1, IBL2, ...) expressed with body language is, e.g. at least with an increased degree of probability, part of the communication K-a, K-b, K-c, K-a' with another person. This decision can be taken into account in the procedure.

A determined parameter (PBL1, PBI2, ...) of a communication message (IBL1, IBL2, ...) expressed with body language from a person in the respective living space 2, 2', 2'', 1, 1', 1'' present person, in particular to another person present in the living space 2, 2′, 2″, 1, 1′, 1″, can then not interpret an input of a specific gesture command into a gesture control application, but rather adapt it one or more parameters (PMS1, PMS2, ...) of the audio signal MS1, MS2 to be output, in particular in the manner described in this document.

If, on the other hand, a communication message (IBL1, IBL2, , for example by means of one or more stored patterns, then an expedient, modified (or no) determination or adjustment of a parameter (PMS1, PMS2, ...) of the audio signal MS1, MS2 and/or a Parameters PAM1, PAM2, ...) of the at least one auditory message AM1, AM2, AM3.

On the basis of one or more scientifically describable relationships that can be used at least statistically in relation to communication K-a, K-b, K-c, K-a' between people or between two specific people, a logic or relationships between a parameter of communication K-a, K-b, K-c, K-a' the parameter (PAM1, PAM2, PAM) for generating an auditory message AM1, AM2, AM3 or one or more applicable variants (V1, V2, .. V10) of determining the parameters can be derived. These one or more auditory messages AM1, AM2, AM3 can be generated, which include content that is at least partially independent of the communication K-a, K-b, K-c, K-a' (selected or generated according to further predetermined conditions) and/or whose parameters (PAM1 , PAM2, ...) are in a predetermined dependence on the topic, on the choice of words, on one or more linguistic features, on the language, on the context of the said communication K-a, K-b, K-c, K-a'.

Furthermore, in the method, a determination of one or more mathematical relationships between a parameter (PBL1, PBL2, ...) of one or more physical impulses of at least one person, which are dependent on specific patterns of gestures and/or facial expressions, and a (chronologically) accompanying or subsequent content-related feature of the spoken communication, in particular speaking, a communication sound or a reaction of the person to the speaking of another person or to a specific auditory message AM1, AM2, AM3. The one or more mathematical relationships can be taken into account or provided in the method. On this basis, for example, learning data can be determined or provided, which are processed or taken into account at a later time interval when interpreting speech inputs and/or a conceivable application that interprets body language.

In other words, based on the parameters of a communication K-a, K-b, K-c, K-a' determined in the method, learning data representing one or more relationships between a parameter (PBL1, PBL2, ...) of one or more physical impulses, in particular the body language of at least one person and a (chronologically) accompanying or subsequent content feature (PAM7) of the spoken communication K-a, K-b, K-c, K-a' in which the person is involved. These can be taken into account in a later interpretation of the (later) body language, in particular one or more parameters of the body language (PBL1, PBL2, . . . ) of at least one person or a person belonging to the same group of people. The learning data or data dependent on the learning data can be provided, e.g. for other purposes, functionalities or services.

The one or more said parameters (PBL1, PBL2, ...) of the body language depending on the gestures and/or facial expressions and/or another physical impulse of at least one person involved in the communication K-a, K-b, K-c, K-a' in the respective living space 1, 1′, 1″ or 2, 2′, 2″ can be determined. For example, a parameter (PBL1, PBL2, . . . ) of the body language can be determined on the basis of a pattern of change or a pattern over time of the change in gestures, facial expressions, pose and/or physical agitation. For example, the body language parameter (PBL1, PBL2, . . . ) can correspond to one of a total of up to 4, 16, 32, 64 different patterns (distinguishable in the method).

An evaluation of a meaning of the body language, which is in particular context-related (eg related to a specific context), preferably takes place in the method. At least one parameter of the gesture, facial expression, body pose of one person involved in the communication Ka, Kb, Kc, Ka' and at least one parameter of the gesture, facial expression, body pose of another person involved in the communication Ka, Kb, Kc, Ka' involved person are evaluated. The context reference can be dependent on a parameter ter (PS1, ... PS8) of the scene S1, ... S8 (recorded before or in the same time interval) in the respective living space 1, 1', 1' or 2, 2', 2'', eg depending on recognizing or recognizing a certain class (PS1, ... PS8) of the scene S1, ... S8 in the living space 1, 1', 1' or 2, 2', 2'', an action within a scene, etc. are determined.

The information ascertained on the basis of the detection and evaluation of the body language can preferably be taken into account together with a parameter of the auditory communication taking place at about the same time and/or a recognized scene. In particular, at least one content-related feature (PAM7) of the auditory message AM1, AM2, AM3 and/or a parameter of the additional audio signal is then determined or adjusted.

The parameters (PBL1, PBL2) recorded in the method of at least one physical emotion, facial expressions, gestures and/or body language (e.g. a parameter of the communication message that can be transmitted with body language) can be a conscious one (consciously generated by the person concerned or controlled) impulse and/or an unconscious (unconsciously generated or uncontrolled or uncontrollable by the person concerned) impulse. In particular, a distinction can be made in the method between a conscious and unconscious physical impulse and/or a conscious or unconscious body language message.

In particular, an interpretation or classification of the body language of one or two people involved in said communication is carried out or taken into account in the method. The interpretation or classification of the body language can include recognizing the pattern corresponding to a specific person or a person belonging to a specific group of people (cf. the description of the group of people). The recognition or recognition can be carried out on the basis of the pattern of the person or persons belonging to a group of persons that has been read in or learned in the method (compare learning data).

For example, on the basis of the recorded body language, one or more parameters (PK1, ... PK9) of the communication, e.g. a content-related feature of a linguistic transaction taking place at about the same time (in the same predefined time interval), can be determined. The actual meaning of a section of body language or a body language message can, but does not have to, be evaluated or evaluated. A (technically relatively difficult to implement) determination or translation of the body language, for example in the form of (content) information, can, but does not have to be carried out. The at least one said parameter (PBL1, PBL2) of the body language is preferably taken into account in addition to other parameters of the communication, the scene (PS1, PS8), etc. described in this document, in particular in such a way that at least one optimization criterion (OK1, OK2 , OK3, ...) is aimed for.

EXAMPLE 5 (with the "Managing the sound sources based on one or more parameter sets or contents")

In a further example, the method is designed in such a way that at least two of the information to be output IAS1, IAS2, IAM1, IAM2, IAM3 or (auditory or visual) content AI2, AI2' or VI2, VI2' consist of at least two in perception at least one listener or viewer (an at least potentially present person) clearly distinguishable directions, distances and/or positions, in particular from sound sources placed differently in space, e.g. from two different virtual sound sources generated in the method according to the determined or adapted parameters.

Preferably, at least two contents IAS1, IAS2, IAM1, IAM2, IAM3 of the one or more communication messages to be output are (actively, dynamically) assigned to at least two different sound sources, with the assignment and/or the output depending on at least one predetermined criterion, e.g Optimization criterion (OK1, OK2, OK3, ...) takes place. The at least two said contents IAS1, IAS2, IAM1, IAM2, IAM3 can be output from the at least two sound sources, in particular virtual sound sources, at least partially overlapping in time and/or spatially.

In this example, the generation or placement of the sound sources can be achieved by controlling two audio output devices, e.g take place. Alternatively or additionally, the sound sources can be generated or placed by controlling the at least two tweeter loudspeakers, which are aligned in at least 3 -12 different spatial directions or angular ranges and are installed in the same structure, eg behind an enveloping surface.

In this example, sound wave patterns can also be generated using sound waves reflected from walls and/or furnishings of the living space. For example, sound sources can be based on the first sound waves radiated directly to a specific room area (RVB1, ... RB8) or (for the most part) from a first surface in the respective living space 1, 1', 1'', 2, 2', 2'' reflected sound waves and/or the second sound waves reflected after at least one reflection from at least one surface in the living room. One or more parameters of the at least one communication message MS1, MS2, AM1, AM2, AM3 can be determined or adjusted in such a way that an (expedient, intentional, dynamically controlled) superimposition, in particular interference, of the first sound waves and the second sound waves, in particular in one specific spatial area RB1, ... RB8 and/or at a specific point in time.

Various technical features of a so-called wave field synthesis can be used to generate or place the at least two sound sources, with one or more parameters of the wave field synthesis PAM4 or PMS4 depending on one or more parameters determined in the process (PK1, PK2, ... PK9) , (PS1, PS2, ...), (PAI1, PAI2, ...) (PBL1, PBL2, ...), (PRMI-a, PRMI-b, PRMI-c, ...) determined or adapted become. A spatial sound parameter to be determined or adapted can be a parameter of such a synthesis or of the wave field synthesis or depend on it.

For example, depending on one or more parameters determined in the process (PK1, PK2, ... PK9), (PS1, PS2, ...), (PBL1, PBL2, ...), etc., sound waves or sound wave patterns in the ultrasonic range (substantially above the spectrum audible to humans) are generated in the respective living space. From the superimposition, in particular an interference of said sound waves from the ultrasonic range (e.g. greater than 40,000 Hz), an appropriate result can be generated in the audible frequency range in the respective living space 2, 2', 2'', 1, 1', 1'' . A superimposition, in particular interference, of such sound waves in the living space 2, 2', 2'', 1, 1', 1'' can be controlled, in particular regulated. For example, one or more sound wave fronts, e.g. to form virtual sound sources with specific parameters, can be generated in the living space 2, 2', 2'', 1, 1', 1''.

In one example, depending on one or more parameters (PMS1, PMS2, ...) and/or (PAM1, PAM2, ...), in particular at least one determined parameter (PAM3, PAM4) or (PMS3, PMS4, . ..) Sound wave fronts generated. One or more sound wave fronts can be generated which emanate from one or more points or behave (in each case) as generated in the said points or sound wave fronts, with the said point or points depending on the parameters determined in the method (PMS1, PMS2 , ...), (PAM1, PAM2, ...) can be determined or adjusted. One or more sound wave fronts or sound wave patterns are generated or synthesized from the superimposition or interference of the elementary waves controlled in the process in the respective living space 2, 2', 2'', . . . 1, 1', 1'' . In this case, convex and/or concave sound wave fronts can be generated.

Furthermore, one or more reflections from one or more surfaces in the respective living space 2, 2′, 2″, 1, 1′, 1″ can also be used to generate said sound wave fronts or sound wave patterns. For example, a sound wave front is generated on the basis of the elementary waves that meet immediately and/or after being reflected from a surface in the respective living space 2, 2', 2', 1, 1', 1''. The use of one or more of said reflections can be dependent on or based on the data of a calibration method (performed in the respective living space 2, 2', 2'', 1, 1', 1').

One or more of the aforesaid sound sources or sound sources can be generated which are located (spatially or in terms of their perceptibility) inside or outside the arrangement of the audio output devices AAV1a, ... AAV2a, ..., AAV-SSA1, AAV-SSA2, . .. condition. Such sound sources can be placed in such a way that their perceptible position is essentially independent of the position of the person perceiving the sound waves in the respective living space 2, 2', 2', 1, 1', 1''.

In this example, a second audio signal AS2 and/or a further auditory message AM2, AM3, e.g. in addition to a first audio signal AS1 which has already been output or is intended for output, is assigned to a sound source which can be perceived from a spatial direction which is from one or more spatial directions of other, eg already existing, sound sources or is provided for the output of the first audio signal AS1. Depending on the switching on or output of a section of the audio signal AS2 or another audio signal, the sound source from which at least one previously output audio signal AS1 was perceptible can be shifted or moved spatially, at least with regard to the direction of perception. The displacement (movement) of the sound source can be made perceptible. As a result, an easier association between the sound sources in the perception of the at least one (present or assumed) listener and the corresponding content can take place.

In this example, a first sound wave image or sound wave pattern can be spatially shifted on the basis of a first audio signal AS1 if a further second audio signal AS2 or an auditory message AM1, AM2, AM3 is or must be output.

Furthermore, a parameter (PBL1, PBL2, ...) of a (specific) physical movement, in particular a specific gesture of a person P1, P1', P1'' can be determined, for example, using a camera operated in living room 1, and then at least one parameter (PMS1 , PMS2, ...) of the at least one audio signal to be output from at least one of the at least two sound sources depending on the determined parameters (PBL1, PBL2, ...) of the determined physical agitation. Depending on the direction of the physical movement or the gesture in a spatial relationship to at least one of the said sound sources, at least one parameter (PMS1, PMS2, PAM1, PAM2, PAM3, ...) of the corresponding sound source corresponding content to be output acoustically. In particular, at least one parameter of the content to be output acoustically can be controlled. In one example of the invention, a parameter of the respective other content output from the respective other sound source can also be controlled, preferably in an opposite sense.

For example, two contents to be output acoustically (from an audio signal source or from different audio signal sources), which in particular represent different information content or content comprising language, in particular according to a predetermined rule, are assigned to two virtual sound sources, e.g. sound sources generated by means of wave field synthesis, in particular to the distributed at least two sound sources. The at least two contents can be made perceptible from at least two directions (at least potentially or audible for people potentially present in the living space). The at least two directions can be placed, e.g. in a directional difference of approx. 90° - 120° or 120° - 180° to one another and/or in a direction of +/- 45° - 60° to the direction of the head (line of sight) of the person.

Furthermore, depending on a hand movement of the person, e.g. a movement of the person's hand in the direction of a sound source and/or to the right ear or left ear, a parameter of the at least one section of the audio signal with the corresponding content, e.g. from the sound source on the right or content displayed on the left can be varied. For example, a person may point their hand at a sound source, e.g., direction and/or distance, and then raise or lower their hand a given amount and/or hold or point their palm up or down. A parameter of the audio signal from the relevant sound source (in a simplified case the volume) can then be increased or decreased.

For example, a visualization corresponding to the spatial direction and/or position of said sound sources, in particular a visualization spatially corresponding to the spatial direction and/or position, can also be generated. The visualization can preferably take place in the form of a light projection, a holographic image in the respective living space, an augmentation or a VR display (=virtual reality). Such a visualization can also include (symbolic, textual, graphic, photographic, photorealistic) information that is characteristic of the source, content, sender, topic, genre, reference person, a control or operating option, etc. of a section of the corresponding audio signal. For example, a section of a multimedia signal, a telecommunications content or an auditory message can be identified as such, for example symbolically or by coloring. Such a visualization can take place, for example, in so-called data glasses, on the basis of the data read in for at least one said content.

For example, the person can use a physical gesture to change a position of the sound source that he or she perceives in particular. For example, the person can "grab" or "mark with the hand" a sound source, with a subsequent operating action relating to a marked sound source. The direction and/or distance of a specific, in particular previously selected, sound source (a direction in which the sound source is perceived) can also be detected a specific gesture or pattern of bodily movement. For example, a sound source, or content assigned to the sound source or corresponding to the sound source, can be “pushed away” by means of a gesture or placed by hand at a location assigned with a specific gesture, quasi “fixed”. In this case, further, active sound sources can maintain their position or be shifted according to predetermined conditions or to a predetermined extent, for example in order to occupy a spatial area or angular area that has become free.

In the process, it can be achieved that a person can arrange (“sort”) the content spatially at their discretion. In particular, the corresponding content or the audio content from the same sources or the same type can be generated again at the assigned directions and/or distances during further operation of the method or the next time the method is started.

Said visualization is preferably generated when a sound source first appears or is switched on or changed and/or when an operator action desired or required (for a specific time interval) by the user (the addressee of the output content) is detected. In this case, when one or more sound sources are changed, e.g. by means of a physical gesture, the corresponding visualization can preferably be changed in a corresponding manner. A very high degree of interactivity and clarity can be achieved.

EXAMPLE 6 (with features related to sensor devices SV1, SV2, etc.)

In one example, at least one sensor device SV1, SV2 with a wide detection angle is provided in the first living space 1, 1′, 1″, optionally also in the second living space 2, 2′, 2″. It can be a detection characteristic that is essentially unidirectional with respect to a horizontal plane. The sensor devices SV1, SV2 can belong to the respective user device AG1, AG1', AG1'', be networked with it or installed together with it.

The sensor device SV1, SV2 comprises 4 - 16 individual microphones, which are designed by means of their so-called directional characteristic and/or the corresponding signal processing in such a way that a spatial parameter (simplified: source) of an acoustic content or the sound waves of human speech, in particular of said communication K-a, K-b, K-c, K-a' corresponding to be determined. Furthermore, the sensor device SV1, SV2 has an essentially unidirectional camera. The camera is operable in the visible spectrum and/or in an infrared spectrum. The sensor device SV1, SV2 is also designed to detect and at least roughly classify a scene S1, . . . S8 in the respective living space 1, 1', 1'', 2, 2', 2''. Part of the data on the parameter values (PK1, PK2, ... PK9) of communication K-a, K-b, K-c, K-a' or parameter values (PRK1-a, PRK1-b, PRK1-c, ... PRK1-a' , PRMI-a, PRMI-b, PRMI-c ...) of the reaction of the at least one person in the respective living space 1, 1', 1'', 2, 2', 2'' with the sensor device SV1, SV2 determined.

In this example, the sensor device SV1, SV2 is designed with a wide detection characteristic. The acquisition (or processing) of the parameters (PK1, PK2, ..., PK9) based on the sound waves and/or based on the camera takes place in this example (to increase efficiency) in a (example or simplified) ) cylindrical coordinate system. The parameters can be assigned to one or more solid angle ranges (and processed particularly efficiently). For example, the spatial areas RB1, .

Furthermore, the sensor device SV1, SV2 is designed to process the data based on the recorded sound waves and/or data based on the recorded images or image sequences.

The sensor device SV1, SV2 or the computing unit R1, R2 is also designed to compare the data based on the sound waves, in particular at least one pattern detected therein, and data based on the images or image sequences (image sequences), in particular at least one pattern detected therein. The sensor device SV1, SV2 can also include other sensors based on various physical principles, with the corresponding parameters or measured variables being expediently taken into account in the method.

In this example, the sensor device SV1, SV2 has the following external shape: In a (conceivable) cross section, this corresponds to a polygon with 4-12, in particular with rounded corners. The sides of the polygon or the corners (rounded) roughly correspond to those defined by the sensor device direction SV1, SV2 (particularly well) distinguishable spatial directions or symbolize such spatial directions for the perception of a user. At least one camera for capturing images or image sequences in a visible spectrum or in an infrared spectrum is installed at an upper or lower end of the structure. In particular, the sensor device SV1, SV2 can be operated as part of a control, with the control at least one parameter in at least one spatial area RB1, ... RB6 or for the at least one spatial area RB1, ... RB6 and / or for sound waves or sound wave patterns generated by at least one person, in particular one or more parameters of the sound waves or sound wave patterns are regulated.

In this example, the sensor device SV1, SV2 can either be attached to the ceiling, e.g. hanging from the living room ceiling, in particular with the optical axis of the camera pointing downwards, and/or placed on a surface, e.g. table, in particular with the optical axis pointing upwards the camera can be operated. In this case, a data connection from the sensor device SV1, SV2 to other parts of the system, e.g. to the home network, can take place via a power supply cable (e.g. mains cable). For example, the sensor device SV1, SV2 is designed to be operable in a hanging mode via a light means mount (E27, G9, G11, or the like) and/or with a light mount (E27, G9, G11, or the like).

The sensor device SV1, SV2 can have a display that outputs information based on the evaluation of the sound waves and/or images or image sequences in the second living space 2, 2', 2''. For example, a display (here: using different colors or symbols) can show the information about how or in relation to which spatial direction or which spatial area RB1, . . . RB6 a section of the sound waves has been evaluated or taken into account. For example, if a portion of the sound waves has been recognized as, say, a voice input SE1, SE2, a voice command SB1, SB2, or a question FR1, FR2, a first icon and/or a first color may be displayed. Depending on whether a voice input SE1, SE2, a voice command SB1, SB2, or a question FR1, FR2 has been recognized, different symbols and/or different colors can be displayed.

If a section of the sound waves has been recognized as a section of said communication K-a, K-b, K-c, K-a', a second symbol and/or color may be displayed, which in particular differs from the first symbol or color. A distinction can also be made as to whether and, if so, which direct action, reaction, command execution of the voice control application SSA1, SSA2 will follow or not.

The at least one user device AG1, AG1', AG1'', or AG2, AG2', AG2'' can have an output device AAV-SSA1a, AAV-SSA1b, ... AAVSSA2a, AAVSSA2b, ..., in this example via several loudspeakers that can be controlled individually or in selected combinations, e.g. tweeter loudspeakers.

For example, several or several variants of user devices AG1, AG1', AG1'' are provided. These can be installed or operated in different, partially acoustically or visually separate room parts, e.g. to the room areas RB1, RB8 of the respective living space. These can have their own sensors for determining the respective (first or second) parameters and/or can be networked with a sensor device SV1, SV2 in their respective environment.

Different user devices AG1, AG1′, AG1″ or AG2, AG2′, AG2″ can optionally be operated according to at least one identical, similar or at least one different optimization criterion (OK1, OK2, OK3, . . . ).

The respective optimization criterion (OC1, OC2, OC3, ...) can depend on the person P1, P1', P1'' or P2, P2', P2'' or the group of persons of the person P1, P1', P1'' or P2, P2', P2'' of the user can be selected or determined.

The sensor device SV1, SV2 can be installed together or separately with the user device AG1, AG1', AG1''. The sensor device SV1, SV2 and the user device AG1, AG1′, AG1″ can be devices that are separate or installed together, in particular devices that are integrated into one another.

An integrated device can include the at least one sensor device SV1, SV2 and at least one computing unit of the user device AG1, AG1', AG1'', a common power supply and/or data connection. For example, a sensor device SV1, SV2 as an active Speakers or a language assistant SSA1, SSA2 configured user device AG1, AG1, AG1'' include one or more microphones or cameras.

One or more parameters (PS1, PS2, , SV2 and/or at least one further sensor can be detected.

For example, one or more parameters (PS1, PS2, ...) of the scene S1 ... S8 can be recorded by means of the application of a so-called image registration of one or more images in the living space 1, 1', 1'', 2, 2', 2'' operated camera, recognition of the images or image sequences that belong to or match the scene S1 ... S8. Further images, so-called satellite images based on the camera or one or more other sensors operated in the living space 1, 1′, 1″, 2, 2′, 2″ can also be assigned or processed.

The corresponding image processing can also be set up or controlled in such a way that the image data or image sequences that are irrelevant for determining, further evaluating or interpreting a parameter (PK1, PK2, ... PK9) of the communication K-a, K-b, K-c, K-a' e.g. representing largely unchanged furnishing of the apartment 1, 1', 1'', 2, 2', 2'', in particular adaptively, are filtered out.

The term “scene” can be a definition of a scene or a scene recognition or scene classification known per se to a person skilled in the art. A specific class (PS1, PS2, . . . ) of the scene S1, . In particular, the class of the scene (PS1, PS2, ...) corresponds to a situation in the respective living space 1, 1', 1'', 2, 2', 2''. At least one sensor of the user device or a sensor device SV1, SV2 networked with the user device AG1, AG1', AG1'' in the vicinity of the user device AG1, AG1', AG1'' can be used to determine one or more parameters of the reaction of the at least one (First or second) person be configured.

At least part of the data for determining or adjusting at least one parameter (PMS1, PMS2, ...) (PAM1, PAM2, ...) of the at least one communication message MS1, MS2, AM1, AM2, AM3 is determined depending on the history data or aggregated data from a plurality of first living spaces 1, 1′, 1′ or a plurality of second living spaces 2, 2′, 2″ are determined from a computing unit R2 which is arranged at a distance (also understood to be operable).

EXAMPLE 7: (to flow part of a communication and/or media content).

In this example, one or more parameters of a part of a communication K-a, K-b, K-c, K-a' are determined within the first living space 1, 1', 1'' and/or one or more parameters of a part of the media content MI1, MI2, . ... The at least one parameter of a (specific) section of the communication K-a, K-b, K-c, K-a' and/or the at least one parameter of a (specific) section of the media content MI1, MI2, ... characterizes an effect or effectiveness of the respective section. A measure of the effect or Effectiveness can be determined and taken into account.

In this example, the measures of effect or effectiveness are only or primarily determined or taken into account if (e.g. according to a predetermined criterion) it is recognized or assumed that a person, in particular a specific person or a person belonging to a group of people, is involved in the communication K-a, K-b, K-c, K-a' (e.g. as listener or speaker and listener) is involved and/or perceives the media content MI1, MI2, ..., e.g. listens to and/or watches a multimedia program.

The term "effectiveness" is to be understood in particular as a generally applicable, average, more or less neutrally evaluated, objective or objectified effect. The term "effect" is to be understood in particular as an expected, foreseeable effect that occurs in a specific context, e.g. in a specific scene in living room 1, 1', 1'', ... 2, 2', 2'', and/or is to be expected from a specific person or person belonging to a specific group of people, and/or from a person with a specific emotion or intention, eg with a parameter of the emotion or intention. Such an expected effect can be based, for example, on parameters from the history (eg relating to previous reactions of the person or a person belonging to the same group of people), information about the person or group of people. The effect or effectiveness can be perceptual, cognitive, emotional, psychological, physical, etc. effect or effectiveness. The effect or effectiveness can be a measure of the effect or effectiveness, for example indicative of a type, intensity, and/or time parameter (for example indicative of the occurrence or duration) of the. Exceptionally, the effect or effectiveness of a parameter of a certain section of the communication Ka, Kb, Kc, Ka 'or the media content MI1, MI2, ... expected (not actually occurred) reaction of a person, the person or a Show person belonging to a group of people.

In a first variant, measures of the effect or effectiveness PWK1-a, PWK1-b, PWK1-c, PWK1-a', -a' and/or measures of the effect or effectiveness PWMI-a, PWMI-b, PWMI-c, ... of the specific sections MI-a, MI-b, MI-c, ... of the media content MI1, MI2, ... determined, in particular predicted. The measures of effect or effectiveness PWK1-a, PWK1-b, PWK1-c, PWK1-a',... or PWMI-a, PWMI-b, PWMI-c,... become the sections of the communication K1-a, K1-b, K1-c, K1-a' or the media content MI-a, MI-b, MI-c, ..., and/or to the specific parameters PRK1-a, PRK1-b , PRK1-c, PRK1-a',... or PRMI-a, PRMI-b, PRMI-c, the (actually occurred, determined) reactions of the at least one person within the first living space 1, 1', 1' ', e.g. depending on a detected causal or temporal match.

In a second variant, several sections of the communication K-a, K-b, K-c, K-a', ... and/or several sections MI-a, MI-b, MI-c, ... of the media content MI1, MI2, . .. determined, in particular predicted, which has a certain effect or effectiveness (PWK1-a, PWK1-b, PWK1-c, PWK1-a',...) or (PWMI-a, PWMI-b, PWMI-c , ...), in particular have an effectiveness exceeding a certain level or will have an expected effect exceeding a certain level. For example, in this variant certain (short) sections of the communication K-a, K-b, K-c, K-a', ... and/or certain (short) sections MI-a, MI-b, MIc of the media content MI1, MI2, ... determined, in particular predicted, which stimulate a specific reaction of the at least one person, determine one or more parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a',...) or (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person, and/or to select the parameters of the reaction of the at least one person (e.g. to determine or adjust the parameters of the communication message or for another purpose, e.g. for a functionality) are to be processed further.

Suitable sections K-a, K-b, K-c, K-a' of the communication or MI-a, MI-b, MI-c of the media content can (particularly well) be used, e.g. with specific or different effects or effectiveness (PWK1-a, PWK1 -b, PWK1-c, PWK1-a',...) or (PWMI-a, PWMI-b, PWMI-c,...) can be selected. These sections can, for example, be less than 50%, 20%, preferably less than 10%, 5% of the duration of the communication K1-a, K1-b, K1-c, K1-a' or the duration of the media content MI1, MI2, ... turn off. The second variant is preferred in this example, but it can also be combined with the first variant. The parameters of the effect or effectiveness can relate to the recent past, e.g. like (PWK1-a, PWK1-b, ... or PWMI-c, ...) about the current time interval of a few seconds and/or to the in the near future of a few seconds, e.g. like (PWK1-c, PWK1-a',... or PWMI-c, ...).

For example, data representing a further course of the media content MI1, MI2, .., e.g. for a specific time interval (e.g. a time interval at least 1, 2, 5, 10 seconds in the future) can be predicted (e.g. read in advance) and taken into account. For example, depending on the data of the media content MI1, MI2, . . . a corresponding effect or effectiveness of the corresponding sections MI-a, MI-b, MI-c of the media content MI1, MI2, , in particular be predicted. Measures of the effect, in particular the effectiveness for different people or people from different groups of people, can be determined (in particular in advance). For example, the parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a',...) or (PRMI-a, PRMI-b, PRMI-c,...) of the reactions to be expected for several different people in the respective living space (e.g. for different family members) on the same sections of the media content MI1, MI2, ... (e.g. on the same sections of the family home cinema or family program MI1, MI2, ...) are determined and taken into account.

Furthermore, data representing a further course of communication K1-a', K1-b', K1-c', K1-a'', e.g. for a specific time interval (e.g. at least 1, 2, 5, 10 seconds in the future lying time interval) and, e.g. in relation to their expected effect, in particular characterizing an expected reaction or effectiveness are taken into account.

(In both variants) the parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a',...) or (PRMI-a, PRMI-b, PRMI-c,...) the (actually occurred, determined) reactions of at least one person together with the dimensions (PWK1-a, PWK1-b, PWK1-c, PWK1-a',...) or (PWMI-a, PWMI-b, PWMI -c, ...) the corresponding sections of the communication K1-a, K1-b, K1-c, K1-a' or the media content MI-a, MI-b, MI-c, ... are processed. For example, the parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a',...) or (PRMI-a, PRMI-b, PRMI-c,...) of the (actually occurred, determined) reactions can be determined as a deviation or factor to the measure of the effect or effectiveness.

EXAMPLE 8 (Example of simulating a "virtual neighborhood", "virtual membranes", etc.)

In this example, one or more parameters (PK-a, PK-b, PK-c, PK-a') of the communication or the at least one parameter (PRK1-a, PRK1-b, PRK1-c, PRK1-a ', or PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of the at least one person determined. The at least one of the parameters is (PK-a, PK-b, PK-c, PK-a') or (PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a , PRMI-b, PRMI-c, ...) indicative of whether or under what conditions the data are indicative or based on the corresponding sections K-a, K-b, K-c, K-a 'of the communication or the reactions of the at least one person the first living space 1, 1', 1'' for the output MS1, MS23, or AM1, AM2, AM3, ... in a second living space 2, 2', 2'', in particular in a specific second living space 2, 2 ', 2'' can be used, e.g. should, may, shouldn't or mustn't be used). Such a parameter can e.g. by evaluating further parameters PK-a, PK-b, PK-c, PK-a' of the communication, the media content MI1, MI2, ..., parameters (PS1, ... PS8) of the scene S1, ... S8, parameters (PE1, PE2, ...), the emotion and/or parameters (PA1, PA2, ...) of the intention of at least one person within the (respective) first living space 1, 1', 1'' take place.

The evaluation can include any known or further developed, future means, e.g. a correspondingly set up artificial intelligence.

• - ein Teil des Inhalts eines Abschnitts K-a, K-b, K-c, K-a' der Kommunikation bzw. der Reaktion der zumindest einer Person, und/oder
• - ein oder mehrere Parameter bestimmter Art und/oder innerhalb eines bestimmten Parameterwertebereichs, z.B. PRK1-a, PRK1-b, PRK1-c, PRK1-a', bzw. PRMI-a, PRMI-b, PRMI-c, ...,

zumindest teilweise unmittelbar und/oder zumindest teilweise mittelbar zum Erzeugen der zumindest einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... an einem zweiten Anwendergerät 2, 2', 2'' bzw. innerhalb eines zweiten Wohnraum 2, 2', 2'' verwendet werden darf und/oder soll bzw. nicht darf und/oder nicht soll.For example, sections Ka, Kb, Kc, Ka' of the communication in the vicinity of one or more first user devices 1, 1', 1'' or within the one or more first living spaces 1, 1', 1'' and/or become parameters (PRK1-a, PRK1-b, PRK1-c, PRK1-a', ...), or (PRMI-a, PRMI-b, PRMI-c, ...) of the reaction of at least one person within the at least compared one of the first living spaces 1, 1', 1'' with a predetermined criterion. It can be decided, e.g. for one or more specific sections of the communication or reactions of the at least one person P1, P1', P1'', that:

• - part of the content of a section Ka, Kb, Kc, Ka' of the communication or the reaction of at least one person, and/or
• - one or more parameters of a certain type and/or within a certain parameter value range, e.g. PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, ... ,

at least partially directly and/or at least partially indirectly to generate the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... on a second user device 2, 2', 2'' or within a second living space 2 , 2', 2'' may and/or should be used or may not and/or should not.

For example, the communication message MS1, MS2, . . . AM1, AM2, AM3, . in particular on the basis of) the parameters of the physical impulses or the body language of the persons (e.g. as parameters of the reactions) from the surroundings of the one or more first user devices or living spaces 1, 1', 1''. Furthermore, e.g. only one parameter, a selection of the parameters or parameters of a certain type (PMS1, PMS2, ... PAM1, PAM2, PAM3, ...) of the communication message MS1, MS2, ... AM1, AM2, AM3, . .. in the second living space 2, 2', 2'', e.g. determined or adjusted according to a mathematical relationship. For example, only a (virtual) physical stimulus, e.g. microexpression or body language message of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., e.g. with the communication message MS1, MS2, ... AM1, AM2, AM3, ... generated, technically simulated physical impulse, e.g. microexpression or body language message can be determined or adapted.

With this decision, the value of the reference (the reference information) between the one or more first user devices AG1, AG1', AG1'', living rooms 1, 1', 1'', or first persons P1, P', P1'' on the one hand, and the one or more specific second user devices AG1, AG1′, AG1″, living rooms 2, 2′, 2″, or the first persons P1, P′, P1″ on the other hand. In this example, the at least one decision in the mathematical context is used to determine or adjusting the parameters of the communication messages MS1, MS2, ... AM1, AM2, AM3, ... taken into account.

A variant of the method can be applied, for example, to specific first user devices AG1, AG1', AG1'', living rooms 1, 1', 1'' or persons P1, P1', P1', P1'' and second user devices AG2, AG2', AG2', living rooms 2, 2', 2'' or people P2, P2', P2'' are used, which have a certain value of the relation (to each other). For example, if one or more predetermined limit values for the value of the reference are exceeded or fallen below, part of the content of a section K-a, K-b, K-c, K-a' of the communication or the reaction of at least one person and/or one or more Parameters of a certain type and/or within a certain parameter value range, e.g. PRK1-a, PRK1-b, PRK1-c, PRK1-a', or PRMI-a, PRMI-b, PRMI-c, ..., at least partially directly and/or at least partially indirectly for generating the at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... for output on a second user device AG2, AG2', AG2'' or in a second living space 2, 2', 2'' used.

For example, the first living space 1, 1′, 1″ and the second living space 2, 2′, 2″ can each be living spaces of family members, partners, club members, etc. A one-sided or mutual influence, emotional connection of the at least one person in the second living room 2, 2', 2'' to a person in the first living room 1, 1', 1'' (and possibly vice versa) in be operated to a desired extent or limited to a further desired extent by means of the communication messages MS1, MS2, . . . AM1, AM2, AM3, . In an example of the method, a virtual "neighborhood" or a virtual "living together" can be realized with the method (e.g. by selecting the mathematical relationship). Only or predominantly a certain part of the sound waves and/or body language expressions (e.g. selectable on the basis of the determined parameters) in a first living space 1, 1', 1'' can be used to generate the communication message for output in a second living space 2, 2', 2'' (and possibly vice versa) with or without a predetermined change and/or possibly at a later, suitable point in time. There can also be a "virtual acoustic, visual, etc. membrane" between certain living spaces 1, 1', 1'', ... 2, 2', 2'', .. . will be realized.

EXAMPLE 9

• - Einlesen bzw. Erkennen der Vorgabe VG1, VG1', VG1'' einer ersten Person P1, P1', P1'' zu einer Kommunikationsbotschaft; und/oder
• - Erkennen des Willens, Bedürfnisses und/oder Appeals der ersten Person P1, P1', P1''; daraufhin:
• - Erzeugen der Kommunikationsbotschaft, insbesondere als einen oder mehrere Entwürfe zu der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ...; und/oder
• - Vorauswahl und/oder Ausschluss von Kommunikationspartner P2, P2', P2'', z.B. aus einer Liste von potentiellen Kommunikationspartner P2, P2', P2''...;

A few examples of a course of interaction between the first person P1, P1', P1'' (eg on or with the first user device AG1, AG1', AG1'') that can be combined with all the other features described are described below. The method can include features or the system can be designed to execute one or more features of the examples (eg using means of the corresponding user device AG1, AG1', AG1''..., AG2, AG2', AG2'').

• - Reading in or recognizing the specification VG1, VG1', VG1'' of a first person P1, P1', P1'' for a communication message; and or
• - recognizing the will, need and/or appeals of the first person P1, P1', P1''; thereupon:
• - Generating the communication message, in particular as one or more drafts of the communication message MS1, MS2, ... AM1, AM2, AM3, ...; and or
• - Pre-selection and/or exclusion of communication partners P2, P2', P2'', for example from a list of potential communication partners P2, P2', P2''...;

• - Ermitteln, insbesondere Einlesen und/oder Interpretieren einer Änderung eines Teils der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ..., insbesondere eines Korrekturwunsches bzw. Ergänzungswunsches der einen oder mehreren ersten Personen P1, P1', P1'' zu der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ...; und/oder
• - Erkennen der Reaktion der ersten Person P1, P1', P1'' auf die Kommunikationsbotschaft, insbesondere auf einen oder mehrere Entwürfe der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ...;
• - Prädizieren der Wirkung der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... auf die eine oder mehrere zweite Personen (insbesondere eine oder mehrere bestimmte zweite Personen oder Person zugehörig zu einer oder mehreren bestimmten Personengruppen) P2, P2', P2''; und/oder
• - Ausgabe einer Information kennzeichnend die eine oder mehrere (erwartbare, erwartete bzw. prädizierte) Wirkungen der Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ...und/oder (erwartbare, erwartete bzw. prädizierte) Reaktionen auf die Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... (z.B. von einer oder zumindest zwei zweiter Personen) P2, P2', P2'';

The generation of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., or the preselection and / or the exclusion of communication partners P2, P2 ', P2''can be done according to the criterion that the communication message MS1 , MS2, . . . AM1, AM2, AM3, .

• - Determining, in particular reading in and/or interpreting a change in a part of the communication message MS1, MS2, ... AM1, AM2, AM3, ..., in particular a correction request or supplement request from the one or more first persons P1, P1', P1 '' to the communication message MS1, MS2, ... AM1, AM2, AM3, ...; and or
• - detecting the reaction of the first person P1, P1', P1'' to the communication message, in particular to one or more drafts of the communication message MS1, MS2, ... AM1, AM2, AM3, ...;
• - Predicting the effect of the communication message MS1, MS2, ... AM1, AM2, AM3, ... on the one or more second persons (in particular one or more specific second persons or persons belonging to one or more specific groups of persons) P2, P2 ',P2''; and or
• - Output of information indicating one or more (expectable, expected or predicted) effects of the communication message MS1, MS2, ... AM1, AM2, AM3, ... and / or (expected, expected or predicted) reactions to the communication message MS1, MS2, . . . AM1, AM2, AM3, . . . (eg from one or at least two second persons) P2, P2', P2'';

• - Auswahl und/oder Ausschluss von einer oder mehreren zweiten Personen P2, P2', P2'' (z.B. als einen oder mehreren empfohlenen Empfänger bzw. nicht empfohlenen Empfänger für die Kommunikationsbotschaft) und/oder Ausgabe einer die eine oder mehrere von ausgewählten bzw. ausgeschlossenen zweiten Personen P2, P2', P2'' kennzeichnenden Information;

The information can be sent to the first user device AG1, AG1', AG1'' or to which one or more first persons P1, P1′, P1″ are issued (also to be understood in particular: to be addressed to the respective first person P1, P1′, P1″). In this case, for example, a parameter of the predicted effect or reaction can be output in an explicit, implicit and/or abstract, in particular abstracted, form. This can be output, for example, using one of a number of symbols, colors, animations and/or as a physical stimulus that represents the predicted effect or reaction.
For example, a symbol or animation of a physical stimulus can be output that characterizes a predicted effect or reaction of the second person P2, P2', P2''. For example, the information can be given with a smile, cry, be sad, wonder, shrug, etc.
and or

• - Selection and/or exclusion of one or more second persons P2, P2', P2'' (e.g. as one or more recommended recipients or non-recommended recipients for the communication message) and/or issuance of one or more of selected or information identifying excluded second persons P2, P2', P2'';

• - Ermitteln, insbesondere Einlesen der Reaktion, Eingabe, Korrektur und/oder Freigabe der einen oder mehreren ersten Personen P1, P1', P1'' auf die ausgegeben Information (z.B. an dem jeweiligen ersten Anwendergeräten AG1, AG1', AG1'').

The output can include or be a selection, highlighting and/or marking of the symbols (eg the avatars) of the selected second person P2, P2′, P2″. The output can take place on the one or more first user devices AG1, AG1', AG1'' or for the one or more first persons P1, P1', P1'';

• - Determining, in particular reading in, the reaction, input, correction and/or approval of the one or more first persons P1, P1', P1'' to the information that has been issued (eg on the respective first user devices AG1, AG1', AG1'').

• - Erzeugen, insbesondere Anpassen von zumindest einer oder zumindest zwei Kommunikationsbotschaften oder von zumindest zwei Varianten einer Kommunikationsbotschaft MS1, MS2, ... AM1, AM2, AM3, ... die an jeweils zumindest zwei von (z.B. zumindest teilweise im Verfahren und/oder durch die erste Person ausgewählte) zweite Personen P2, P2', P2''. Diese können eine verbesserte Zielerreichung bzw. eine verringerte Abweichung anstreben.

For example, the following can then be executed:

• - Generating, in particular adapting, at least one or at least two communication messages or at least two variants of a communication message MS1, MS2, ... AM1, AM2, AM3, ... which are sent to at least two of (e.g. at least partially in the method and/or second persons P2, P2', P2'' selected by the first person. These can strive for improved target achievement or a reduced deviation.

EXAMPLE 10

Exceptionally, at least one first person P1, P1', P1'' from the one or more first persons P1, P1', P1'' can be a first person P1, P1', available or existing, in particular exclusively, in the form of a medium. P1'' and/or a virtual person VP and/or a fictitious person. For example, one or more of the one or more of the first persons P1, P1', P1'' can be a protagonist (or hero), a character (e.g. characterized or represented by their communication, action, reaction and/or interaction person or figure), a game character, e.g. a character from a video game.

For example, the one or more first parameters of the communication (PK1, PK2, ... PK9) and/or response to a communication (PRK1-a, PRK1-b, PRK1-c, PRK-a', ...) and/or reaction (PRMI-a, PRMI-b, PRMI-c, ...) of a (e.g. only) represented within the medium, a fictitious and/or a virtual first personality can be determined.

The one or more first parameters (PK1, PK2, ... PK9), (PRK1-a, PRK1-b, PRK1-c, PRK-a, ...), or (PRMI-a, PRMI-b, PRMI-c, ...) can consist of a medium representing a (e.g. unavailable real or fictitious and/or virtual personality) first person P1, P1', P1'' are determined. For example, the respective one or more first parameters (PK1, PK2, ... PK9), (PRK1-a, PRK1-b, PRK1-c, PRK-a', ...), or (PRMI-a , PRMI-b, PRMI-c, ...) from a (possibly past, fictitious and/or virtual) action, interaction, relationship, communication, perception.

For example, the at least one medium can have one or more photos, sound recordings and/or video recordings, biometric parameters of the respective first person P1, P1', P1'', personality model of the first person P1, P1', P1'' or various data be the person. In a further example, the at least one medium can be a text, in particular a text with an action, e.g. a book, a story, a novel, a drama, a romance novel, a history book, a thriller, a textbook and/or a work of fiction .

For example, the one or more first parameters of the first communication (PK1, PK2, ... PK9) and/or reaction (PRK1-a, PRK1-b, PRK1-c, PRK-a', ...), or (PRMI-a, PRMI-b, PRMI-c, ...) a communication or reaction taking place within the medium between at least two of (real and/or fictitious) first persons P1, P1', P1'' within the medium or mark a first person P1, P1', P1'' with another fact within the medium. For example, the reactions of a person from the medium relate, in particular taking into account the context, scene, etc. given within the medium (roughly analogous to the real circumstances). For example, the one or more of the first parameters (PK1, PK2, ... PK9), (PRK1-a, PRK1-b, PRK1-c, PRK-a', ...), or (PRMI-a, PRMI-b, PRMI-c, ...) be the result of an evaluation of a medium (e.g. a book, film, recording, etc. read in during the process).

In this variant of the invention, too, the one or more second parameters (PMS1, PMS2, . . . PAM1, PAM2, . . . ) of a communication message MS1, MS2, become. For example, the personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' generated in the method can have a communication, communication behavior, action or interaction with at least one second person, which at least partially (e.g. to a desired proportion) on the one or more parameters corresponds to one or more people from a medium, one or more fictitious and/or one or more other virtual personalities.

• Einlesen der Daten eines Mediums, insbesondere:
  • - eines Textwerkes (z.B. Briefe einer bestimmten Person, einem Geschichtsbuch, einem literarischen Werk), und/oder
  • - eines Filmmaterials (z.B. Dokumentarfilmen, Spielfilmen, Serien, Trickfilmen bzw. Animationsfilmen, etc.), und/oder
  • - einer oder mehrerer Audioaufnahmen (z.B. rhetorischen gelungenen Reden, Gespräche von zumindest zwei Personen),

Ermitteln jeweiliger ersten Parameter der Kommunikation (PK1, PK2, ... PK9) und/oder Reaktion (PRK1-a, PRK1-b, PRK1-c, PRK-a', ...), bzw. (PRMI-a, PRMI-b, PRMI-c, ...) auf ein Medianinhalt einer oder mehreren ersten Personen P1, P1', P1'' innerhalb des Mediums. Ferner können die ein oder mehrere der derart ermittelten ersten Parameter (PK1, PK2, ... PK9), (PRK1-a, PRK1-b, PRK1-c, PRK-a',...), bzw. (PRMI-a, PRMI-b, PRMI-c, ...) gemäß einem oder mehreren im vorliegenden Dokument beschriebenen Merkmalen verarbeitet werden. Beispielsweise kann ein erstes neuronales Netz DNN1, DNN2, DNNZ abhängig, insbesondere auf Basis der ersten Parameter der einen oder mehreren Personen aus dem Medium trainiert werden.For example, the procedure may include:

• Reading in the data of a medium, in particular:
  • - a text (e.g. letters from a specific person, a history book, a literary work), and/or
  • - a film material (e.g. documentaries, feature films, series, cartoons or animated films, etc.), and/or
  • - one or more audio recordings (e.g. successful rhetorical speeches, conversations between at least two people),

Determining respective first parameters of the communication (PK1, PK2, ... PK9) and/or reaction (PRK1-a, PRK1-b, PRK1-c, PRK-a', ...), or (PRMI-a, PRMI-b, PRMI-c, ...) to a median content of one or more first persons P1, P1', P1'' within the medium. Furthermore, one or more of the first parameters (PK1, PK2, ... PK9), (PRK1-a, PRK1-b, PRK1-c, PRK-a', ...), or (PRMI- a, PRMI-b, PRMI-c, ...) are processed according to one or more characteristics described in the present document. For example, a first neural network DNN1, DNN2, DNNZ can be trained in a dependent manner, in particular on the basis of the first parameters of the one or more people from the medium.

Based on the trained neural network DNN1, DNN2, DNNZ, a communication message MS1, MS2, ... AM1, AM2, AM3, ... generated and/or one or more personality models PM1, PM1', PM1'' or avatars AV1 , AV1', AV1'' are operated.

The at least one communication message MS1, MS2, ... AM1, AM2, AM3, ... depending on the first parameters (PK1, PK2, ... PK9), (PRK1-a, PRK1-b, PRK1-c , PRK-a', ...), or (PRMI-a, PRMI-b, PRMI-c, ...) relating to one or more first persons P1, P1', P1'' are generated, even if ongoing acquisition of the first parameters by at least one of the first persons P1, P1', P1'' is not possible if at least one first person P1, P1', P1'' is a fictitious person and/or is an avatar himself.

In a variant of the invention, the training of the first personality models PM1, PM1′, PM1″ or avatars AV1, AV1′, AV1″ or neural network DNN1, DNN2, DNNZ can be dependent on one or more (a selection of) real ones Persons P1, P1', P1'' and one or more first persons P1, P1', P1'' from a medium and/or one or more virtual personalities VP1.

In a variant of the invention, the at least one second person P2, P2′, P2″ can (possibly also) be a virtual personality. The at least one communication message MS1, MS2, . . . AM1, AM2, AM3, . . . can be generated and/or operated to train the (second) virtual personality. For example, several, preferably a large number of, communication messages MS1, MS2, . . . AM1, AM2, AM3, . . . can be generated for training at least one second virtual personality. In this case, appropriately selected or appropriately generated communication messages MS1, MS2, . . . AM1, AM2, AM3, .

So many communication messages for training the one or more second personality models PM2, PM2′, PM2″ or avatars AV2, AV2′, AV2″ can be generated that exceed a number perceivable by a real person. Furthermore, the communication messages MS1, MS2, ... AM1, AM2, AM3, ... for training the second of one or more second personality models PM2, PM2', PM2'' or avatars AV2, AV2', AV2'' with generated at an increased, in particular multiplied, speed (compared to information that can be perceived by humans) and used to train the one or more personality models PM2, PM2′, PM2″ or avatars AV2, AV2′, AV2″. This is to be understood in particular such that the communication message MS1, MS2, ... AM1, AM2, AM3, ... from the one or more personality models PM2, PM2', PM2'' or avatars AV2, AV2', AV2' ' are read in (perceived virtually, so to speak). The one or more second personality models PM2, PM2', PM2'' or avatars AV2, AV2', AV2'' can be trained in relation to the communication message (i.e. also to future communication messages or to future real parameters) to a specific, improved, to respond to an action, interaction, communication corresponding to a specific goal and/or result.

For example, communication messages MS1, MS2, . . . AM1, AM2, AM3, '' are generated, with a parameter of a reaction (resulting from or stimulated or changed by the communication message or first information) of the one or more personality models PM1, PM1', PM1'' or Avatar1 AV1, AV1', AV1'' is determined. For example, at least one personality model PM1, PM1′, PM1″ or avatar AV1, AV1′, AV1″ can be trained with a multiple amount of information that a person can perceive during their lifetime. The one or more trained personality models PM1, PM1', PM1'' or avatars AV1, AV1', AV1'' can in turn be used to train a further (third) personality model PM3, PM3', PM3'' or avatars AV3, AV3' , AV3'' and/or (third) virtual personality VP3 can be used. For example, they can be trained to communicate and/or to determine, simulate, imitate or feel emotions.

The method can also be used to output (auditory or visual) content AI2, AI2′ or VI2, VI2′ from a number of (possibly partially standardized, with regard to their effect comparatively neutral, meaningless or uncreative) media content MI1, MI2. or information (e.g. not bound to a fixed or specific form), in particular in one or more repetitions of steps (3) and (8) and possibly (10) of the method, communication messages MS1', MS2', ... AM1 ', AM2', AM3', ... with a high (e.g. emotional, psychological, cognitive) effect or influencing factor (e.g. persuasiveness, influence, charisma, character). In particular, the subjective (emotional, opinion-bearing, and/or immaterial, artistic value related to the needs of the person) of the communication message for the people involved P2, P2', P2'' or P1, P1', P1'' or be very high for outsiders. This can increase for persons P2, P2', P2'' or P1, P1', P1'' or outsiders by the communication messages MS1, MS2, ... AM1, AM2, AM3, ... using the in The technology disclosed in this document may be part of a large, e.g. creative, process involving several people P2, P2′, P2″ or P1, P1′, P1″ and the fact that the result of the process can arise almost in real time and thus can promote an emotional or mental resonance or a creative urge of a large number of people P2, P2', P2'' or P1, P1', P1''.

For example, after several executions of steps (3), (8) and possibly (19) a person can be provided depending on whether or how intensively a person P2, P2', P2'' or P1, P1', P1''or their user device AG2, AG2', AG2'' or AG1, AG1', AG1'' involved in the execution of the method or used the system.

The method can be used as a method for media production (creating and providing multiple communication messages that can form a medium, e.g. action, dramaturgical interaction) or as a method for media production. In particular, the communication messages MS1', MS2', ... AM1', AM2', AM3', ... comprehensive (multimedia) programs MI2 from specific groups of people and/or for specific groups of people (P2, P2', P2'' ) are generated and/or made available for persons belonging to certain (e.g. the same) groups of persons. The communication messages (in addition to or as an alternative to the creativity and expertise of a few authors who normally create media) can be created by means of a joint effort by a (large) number of people P1, P1', P1'' or P2, P2', P2'' generated or fueled by the creativity of a large number of people. As a goal of the method or as an optimization criterion (OK1, OK2, OK3, ...) or as the effect to be achieved of the communication messages MS1', MS2', ... AM1', AM2', AM3', . .. an (at least statistical) increase in sensitivity of the persons P2, P2′, P2″ for specific content, topics, values, and/or perception of specific emotions, in particular those defined as positive, can be specified. For example, an appropriate selection of the target value for the effect can promote a feeling of higher, peaceful feelings or a shift in the person's priorities towards higher values and needs, e.g. higher according to the so-called Maslow pyramid.

Reference List

1, 1', 1'', ...

first stationary living quarters, each part of a property;

2', 2', 2''...

second stationary living quarters, each part of a property;

PB1, ..., RB6

Spatial areas within a respective living space 1, 1', 1'' or 2, 2', 2'' or the environment or spatial areas in the vicinity of a respective user device;

AG1, AG1', AG1''

a first user equipment, e.g., operated within the first living space 1, 1' 1'';

AG2, AG2', AG2''

a second user device, e.g., operated within the second living space 2, 2', 2'';

KB12, ... KB21, ...

The communication (to be supported or supported in the method) can be one or more diverse communication messages or those directed in various directions, e.g. from (KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1' 2', KB1'2', KB1''2', KB21, KB2'1, KB2''1, ... KB21', KB21', KB2'1', KB21', KB2''1'), a Sequence or section from a sequence of communication messages (KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1'2', KB1''2', KB21, KB2 '1, KB2''1, ... KB21', KB21'', KB2'1', KB2'1', KB2''1').

UI21, UI2'1, UI2''1, ..., UI21', UI21'', ..., UI2'1', UI2''1''

Support information to the one or more first persons P1, P1', P1'' in or in connection with the communication KB12, ... KB21, ...

AI21, AI2'1, AI2''1, ..., AI21', AI21'', ..., AI2'1', AI2''1''

Voting information to the one or more first persons P1, P1', P1'' in or in connection with the communication KB12, ... KB21, ...

FB21, FB2'1, FB2''1, ..., FB21', FB21''..., FB2'1', FB2''1''

Feedback to the one or more first persons P1, P1', P1'' in or in connection with the communication KB12, ... KB21, ...

RI21, RI2'1, RI2''1, ..., RI21', RI21'', ..., RI2'1', RI2''1''

Report information to the one or more first persons (P1, P1', P1'') in or in connection with the communication (KB12, ... KB21, ....), in particular identifying a course of the communication (KB12, ... KB21, ....), acting and/or happening in connection with the communication.

Ka, Kb, Kc, K-a'

Communication between the first persons or, exceptionally, with third persons or between the second persons, or exceptionally with third persons, different sections of the communication; In particular, between a first communication K1-a, K1-b, K1-c, K1-a' in the vicinity of a first user device AG1, AG1', AG1'' or within the first living space 1, 1', 1'' and a second communication K2-a, K2-b, K2-c, K2-a' within the second living space 2, 2', 2'' or in the vicinity of a second user device AG2, AG2', AG2''.

(PK1, PK2, ... PK9)

Parameters or parameter values of the communication, in particular at least one section K-a, K-b, K-c, K-a', ... or K1-a, K1-b, K1-c, K1-a' or K2-a, K2 -b, K2-c, K2-a' or more sections or transactions of the communication;

AV-SSA1, AV-SSA2

Output devices of the user devices AG1, AG1, AG1, or AG2, AG2', AG2'', e.g. with the respective (second, first) user device in an operative connection output devices);

MS1, MS2, ...

Communication message or a part, section of the communication message which is output on the second user device AG2, AG2', AG2'' or within the second living area 2, 2', 2''; In terms of content, this can be based on various data IAM1, IAM2, IAM3 or content AI2, AI2' or VI2, VI2', in particular for one or more (possibly specific) second persons P2, P2', P2'' or persons P2, P2', P2'' are generated to belong to one or more (possibly specific) groups of people; This can include, for example, an image, a video sequence or other visually perceptible output.

IMS1, IMS2, ...

a content transmitted or to be transmitted with the communication message MS1, MS2, . . . or a section of the multimedia signal MS1, MS2; This can also be present without a corresponding signal that can be directly converted into sound waves, images, etc.;

AM1, AM2, AM3, ...

auditory output or a part, section of the communication message that includes an auditory message. The auditory message can be generated by means of speech generation (e.g. in the processing unit R2 or in the second user device AG2, AG2', AG2''). In terms of content, this can be generated on the basis of various data or content AI2, AI2', in particular for one or more (possibly specific) second persons; The auditory output or a section of the auditory output can be part of the communication message MS1, MS2, . . .

IAM1, IAM2, IAM3, ...

information or content transmitted or to be transmitted with the auditory message or voice message AM1, AM2, AM3, in particular corresponding to a factual aspect of a message;

IA1, IA1',...IV1, IV1',...

A part (section or content) of (auditory or visual) content or a (first) audio signal or video signal on or in the vicinity of the first user device AG1, AG1', AG1'' or within the first living space 1 , 1′, 1″ output, in particular played;

IA2, IA2',...IV2, IV2',...

A part (section or content) of (auditory or visual) content, or a (second) audio signal or video signal on or in the vicinity of the second user device AG2, AG2', AG2'' or within the second living space 2, 2', 2''; This can differ from parts IA1, IA1', ... IV1, IV1', ... or be independent of this;

S1, ... S8

Context, in particular a scene, within the respective first or second living space 1, 1', 1', or 2, 2', 2'' or the environment of the respective first user device AG1, AG1', AG1'', or or second user device AG2, AG2', AG2'';

(PS1, PS2, ... PS8)

Parameters of a scene S1, ... S8, characterizing a feature, in particular a class or pattern of a scene S1, ... S8, or the context. A parameter of the context or the scene can be determined or processed as a corresponding code value.

(PBL1, PBL2, ...)

Parameters of a physical impulse or a pattern based on one or more parameters of a physical impulse or a parameter of the body language of at least a first person P1, P1', P1'' or a second person P2, P2', P2''.

MI1, MI2, ...

A media content, in particular a part of a media content. For example, MI1 is a multimedia program (movie, broadcast, streamed program, live broadcast, etc.) to be output. For example, a section MI-b of the media content MI2 is part of a communication message AS1', AS2', ... AM1', AM2', AM3', ..., includes such a thing or is integrated with it. This part of a communication message AS1', AS2', ... AM1', AM2', AM3', ... can itself depend on the one or more parameters (which can then be first parameters) from the environment of a further user device or .Be generated within another living space. This can be inserted or integrated into the content IA1, IA1', ... IV1, IV1', ... media content to be output on a user device AG1, AG1', AG1'', or a section-wise or local change (a changed section MI -b) correspond to the media content MI2;

(PWMI-a, PWMI-b, PWMI-c, ...)

Measures of the effect or effectiveness of certain sections of media content MI1, MI2;

(PWK1-a, PWK1-b, PWK1-c, PWK1-a', ...)

measures of the impact or effectiveness of certain portions of communications, particularly communications transactions;

(PRMI-a, PRMI-b, PRMI-c, ...)

A parameter of a (in particular conscious and/or unconscious, physical, body language) reaction, in particular a microexpression of the at least one person in the environment PB1, ..., RB6 of a respective user device AG1, AG1', AG1'' or within the respective living space 1, 1', 1'' to specific (short) sections MIa, MI-b, MI-c, ... of media content MI1 or MI2;

(PRK1-a, PRK1-b, PRK1-c, PRK-a', ...)

A parameter of a (in particular conscious or unconscious, physical, body language) reaction, in particular a micro-expression, of at least one person in the respective living space 1, 1', 1'', or 2, 2', 2'' to certain (short ) Sections K-a, K-b, K-c, K-a', ... of communication, especially communication transactions;

(PMS1, PMS2, ... PAM1, PAM2, ...)

Parameters of the communication message MS1, MS2, ... AM1, AM2, AM3

Claims (17)

Method for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2'') , wherein supporting the communication (KB12, ... KB21, ...) by means of one or more personality models (PM1, MP1', PM1'') of one or more first persons (P1, P1', P1'') and/ or one or more personality models (PM2, MP2', PM2'') of one or more second persons (P2, P2', P2'') is executed. Method for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2'') , supporting the communication (KB12, ... KB21, ...) by means of one or more avatars (AV1, AV1', AV1'') of one or more first persons (P1, P1', P1'') and/ or one or more avatars (AV2, AV2', AV2'') of one or more second persons (P2, P2', P2''). Procedure according to claim 1 or 2 , wherein - the one or more first personality models (PM1, PM1', PM1'') or first avatars (AV1, AV1', AV1'') depending on the first data concerning one or more first persons (P1, P1', P1 '') entered directed, in particular trained and/or configured, and/or controlled; and/or - the one or more second personality models (PM2, PM2', PM2'') or second avatars (AV1, AV1', AV1'') depending on the second data concerning one or more second persons (P2, P2', P2'') set up, in particular trained and/or configured, and/or controlled. Method according to one or more of the preceding claims, wherein a first personality model (PM1, PM1', PM1''), in particular a first avatar (AV1, AV1', AV1'') that can be operated as a function of the first personality model (PM1, PM1', PM1''), a first person (P1 , P1 ', P1 '') in an at least partially simulated communication (SKB12, ... SKB21, ...) and / or at least partially virtual communication (KB12, ... KB21, ...), in particular to one or represents a plurality of second persons (P2, P2', P2'') and/or one or more second persons (P2, P2', P2'') to one or more second personality models (PM1, PM1', PM1''); and/or a second personality model (PM2, PM2', PM2''), in particular a second avatar (AV2, AV2', AV2'') that can be operated as a function of the second personality model, of a second person (P2, P2', P2'' ) in a simulated communication (SKB12, ... SKB21, ...) and/or at least partially virtual communication (KB12, ... KB21, ...), in particular towards one or more first persons (P1, P1', P1'') and/or one or more first personality models (PM1, PM1', PM1'') of one or more first persons (P1, P1', P1''). A method according to one or more of the preceding claims, wherein an at least partially simulated communication (KB12,...KB21,...) is carried out to set a parameter in support of a communication (KB12,...KB21,...) involving one or more real first persons (P1, P1', P1'') and/or one or more real second persons (P2, P2', P2''). Method according to one or more of the preceding claims, wherein supporting the communication (KB12, ... KB21, ...) is or comprises: - Generation of voting information (AI11', AI1'1, AI11'', ..., AI'1, AI1'1''... AI1''1, AI1''1') to one or more first persons ( P1, P1', P1'') which is characteristic of a vote between several different specifications (VG1, VG1', VG1'') regarding the communication (KB12, ... KB21) of the one or more first persons (P1, P1 ',P1''); and or - Generation of support information (UI21, UI2'1, UI2''1, ..., UI21', UI21'', ... UI2'1', UI2'1'') for supporting the communication (KB12, .. .KB21); and or - Generation of feedback (FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'') to the one or more first persons ( P1, P1', P1''); and or - Assisting the one or more first persons (P1, P1', P1'') in creating or customizing a communication message (KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2' , KB1'2', KB1''2') to one or more second persons (P2, P2', P2''); and or - supporting a virtual encounter, action and/or interaction of at least one first person (P1, P1', P1'') and/or at least one second person (P2, P2', P2''); and or - Generation of report information (RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', RI2''1'') to the one or more first persons ( P1, P1', P1'') in the communication (KB12, ... KB21, ....) or in connection with the communication (KB12, ... KB21, ....), in particular characterizing a course of the communication (KB12, ... KB21, ....), acting and/or happening in connection with the communication (KB12, ... KB21, ....). Method according to one or more of the preceding claims, wherein one or more first parameters relating to one or more first persons (P1, P1', P1'') are determined and/or processed depending on one or more second parameters relating to one or more second persons (P2, P2', P2''). ; and or one or more second parameters relating to one or more second persons (P2, P2', P1''); are determined and/or processed depending on one or more first parameters relating to one or more first persons (P1, P1', P1''). First personality model (PM1, PM1', PM1'') of one or more people (P1, P1', P1''), in particular a first avatar (AV1, AV1', AV1'') that can be operated as a function of a first personality model, the Personality model (PM1, PM1', PM1'') for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2'') is formed, the first personality model (PM1, PM1', PM1'') is designed in particular: - a piece of coordination information to one or more first persons (P1, P1', P1'') which is characteristic of a need for coordination between several different specifications (VG1, VG1', VG1 '') relating to the communication (KB12, ... KB21); and/or - support information (UI21, UI2'1, UI2''1, ..., UI21', UI21'', ... UI2'1', UI2''1'') to one or more first persons (P1, P1', P1'') relating to the communication (KB12, ... KB21, ...) with one or more second persons (P2, P2', P2''); and/or - feedback (FB21, FB2'1, FB2''1, ..., FB21', FB21'', ... FB2'1', FB2''1'') to one or more first persons (P1, P1', P1'') relating to an effect of at least one communication message (KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1'2', KB1'2') to the at least one second person (P2, P2', P2''); and/or - a reaction of the at least one first person (P1, P1', P1'') to at least one incoming communication message (KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2',KB1'2',KB1''2') to simulate and/or to predict; and/or - report information (RI21, RI2'1, RI2''1, ..., RI21', RI21'', ... RI2'1', RI2''1'') to the one or more first Persons (P1, P1', P1'') in the communication (KB12, ... KB21, ....) or in connection with the communication (KB12, ... KB21, ....) characterizing a course of communication, acting, happenings in connection with the communication (KB12, ... KB21, ....). Second personality model (PM2, PM2', PM2'') of one or more people (P2, P2', P2''), in particular a second avatar (AV2, AV2', AV2''), wherein the personality model (PM2, PM2', PM2'') for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2''), the second personality model (PM2, PM2', PM2'') being embodied in particular: - At least one communication message (KB12, KB1'2, KB1''2, ... KB12', KB12'', KB1'2', KB1'2', KB1''2') to the one or more second persons ( create or customize P2, P2', P2'') by, on behalf of, or on behalf of one or more first persons (P1, P1', P1''); and or - the one or more second persons (P2, P2', P2'') in their communication (KB12, ... KB21, ...), one or more encounters, in particular with one or more first persons (P1, P1 ', P1') and/or other avatars (AV1, AV1', AV1'') to represent and/or represent; and or - a piece of report information (R112, RI1'2, RI1''2, ..., RI12', R112'', ... RI1'2', RI1''2'') to the one or more first persons (P1 , P1 ', P1 '') in the communication (KB12, ... KB21, ....) or in connection with the communication (KB12, ... KB21, ....), in particular characterizing a course of To generate communication, acting, happenings in connection with the communication (KB12, ... KB21, ....). System for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2'') , wherein the system is designed to support the communication (KB12, ... KB21, ...) by means of one or more personality models (PM1, PM1', PM1'') of one or more first persons (P1, P1', P1' ') and/or one or more personality models (PM2, PM2', PM2'') of one or more second persons (P2, P2', P2''). System for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2'') , wherein the system is designed to support the communication (KB12, ... KB21, ...) by means of one or more avatars (AV1, AV1', AV1'') of one or more first persons (P1, P1', P1' ') and/or one or more avatars (AV2, AV2', AV2'') of one or more second persons (P2, P2', P2''). User device (AG1, AG1', AG1'', ... AG2, AG2', AG2'') for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1 ', P1'') and one or more second persons (P2, P2', P2''), wherein the user device (AG1, AG1', AG1'', ... AG2, AG2', AG2'') is designed one or more first personality models (PM1, PM1', PM1'') or one or more first avatars (AV1, AV1', AV1''), one or more first persons (P1, P1', P1''), and/ or one or more second personality models (PM2, PM2', PM2'') or one or more set up, update and/or second avatars (AV2, AV2', AV2'') of one or more second persons (P2, P2', P2'') to support communication (KB12, ... KB21, ...). or to operate. User device AG1, AG1', AG1'', ... AG2, AG2', AG2'', wherein the user device AG1, AG1', AG1'', ... AG2, AG2', AG2'' is designed for operation as part of the system after claim 11 or 11 , in particular as a first user device AG1, AG1', AG1'' and/or as a second user device AG2, AG2', AG2''; and/or is set up, together with at least one other device R2, a method according to one of Claims 1 until 7 to execute. Computer program product for supporting interpersonal communication (KB12, ... KB21, ...), the computer program being designed, when it is executed on a processing unit of a first user device AG1, AG1', AG1'', on a processing unit of a second user device AG2 , AG2', AG2'', and/or on a computing unit R2 that can be operated at a distance, a method according to one of Claims 1 until 7 to execute. Computer program product for supporting interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1'') and one or more second persons (P2, P2', P2'') , wherein the computer program product is designed to set up, update and/or operate a first personality model (PM1, PM1', PM1'') of one or more first persons (P1, P1', P1'') and/or second personality model (PM2, PM2', PM2'') of one or more second persons (P2, P2', P2''). Neural network DNN1, DNN2, DNNZ, in particular data of the neural network DNN1, DNN2, DNNZ, set up to support interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1 '') and one or more second persons (P2, P2', P2''), the neural network DNN1, DNN2, DNNZ being set up: - for operating a first personality model (PM1, PM1', PM1'' or a first avatar (AV1, AV1', AV1'') of one or more first persons (P1, P1', P1''); and or - for operating a second personality model (PM2, PM2', PM2'') or a second avatar (AV2, AV2', AV2'') of one or more second persons (P2, P2', P2''). Neural network DNN1, DNN2, DNNZ, in particular data of the neural network DNN1, DNN2, DNNZ, set up to support interpersonal communication (KB12, ... KB21, ...) between one or more first persons (P1, P1', P1 '') and one or more second persons (P2, P2', P2''), the neural network DNN1, DNN2, DNNZ being set up: - Data of one or more first persons (P1, P1', P1'') by means of a first personality model (PM1, PM1', PM1'') or a first avatar (AV1, AV1', AV1''); and or a second personality model (PM2, PM2', PM2'') or a second avatar (AV2, AV2', AV2'') of one or more second persons (P2, P2', P2''); to identify executed communication; and to support the communication (KB12, ... KB21, ...) depending on the determined data.

Images