DE102021006546A1 - Method for user-dependent operation of at least one data processing system - Google Patents

Abstract

The present invention relates to a method for automatically adapting the behavior of a mobile user terminal in order to increase a probability that the mobile user terminal successfully completes a task, for example involving an interaction with a human, wherein a successful completion of the task comprises, for example that the human is caused to interact with an execution device, for example a, in particular mobile, robotic device and/or the execution device engages with the human, the method being executed by a processor in the mobile user terminal.

Description

The present invention relates to a method for automatically adapting the behavior of a mobile user terminal and a method for user-dependent operation of at least one data processing system according to the respective preambles of patent claims 1 and 2.

Everything for the one independently disclosed subject matter relating to one method is disclosed for the other method and vice versa.

The method described here for the user-dependent operation of at least one data processing system comprises, in a first step, providing at least a first computer unit which, on the basis of user data of a user stored in a database, generates and/or retrieves at least one user profile of objects of use of the user that is uniquely assigned to the user.

In terms of the present invention, the user profile is a configuration of a user account of an operating system that is stored in a system administration. A user profile can include various rights, for example read rights, write rights, connections, installation of programs and delete rights. These rights are assigned by the respective system administrator as part of the user administration and can be changed by any other system administrator. The administrators can be one or different users. The administrator, on the other hand, only has a privileged user profile. In order to ensure data protection, the user profiles of others can be restricted in principle.

The respective user's own files and settings are preferably also stored in the user profile. This also includes program configuration files.

Particularly sensitive user data can also be secured, for example in a root account or in a protected memory.

The first processing unit can be a computer, a notebook or some other computer chip.

In a second step, a second computer unit is provided, which makes at least one usage suggestion for the future use of a usage object to the user, whereby the user can confirm, change and/or reject the usage suggestion and further where in the event of a change and/or rejection of the usage suggestion by the user, the second computing unit adapts the user profile to user data that has then changed.

Such an adjustment can consist in usage data which are clearly, preferably uniquely, connected to a corresponding usage object being changed accordingly in the user profile in order to be able to reflect changed usage behavior of the individual usage objects.

In a third step, a third computer unit is provided, which then receives the user data transmitted by the first computer unit, the user data being control and/or regulation data, by means of which at least one usage object is controlled and/or regulated.

The present invention is therefore divided into at least three steps. A first step is identified by the operation performed by the first computing unit and can be referred to as a learning phase of the data processing system.

A second step is defined by the provision of the second computing unit, which can be referred to as a correction phase of the data processing system, with a third learning phase representing an implementation phase, which is represented by the provision of the third computing unit.

According to at least one embodiment, the second and/or the third computer unit calculates an accuracy, the accuracy being a numerical ratio, in particular a decimal fraction of suggested usage parameters to usage parameters actually selected by the user, and the user data only when the accuracy threshold is exceeded or not reached be transmitted to a third computer unit. The accuracy can thus or alternatively be a predictable or learned action or reaction.

The usage parameters can be a usage time of a usage object during a day, an electricity consumption of a usage object during a day or other consumption of the usage object during a day or a previously specified other operating time.

If, for example, the user sets a desired time of use and/or a desired initial time of use in the second computer unit, this changed time of use becomes a decimal fractional ratio to the groove previously stored in the database calculated time, the result is the corresponding accuracy. If this value is below or above an accuracy threshold value, the user data are transmitted for activation by the third computer unit.

An accuracy threshold value interval can also be stored in the first and/or second and/or third computing unit, within or outside of which the calculated accuracy must remain.

Provision can therefore be made for the first and/or the second computing unit to allow the respective user data to be transmitted to the third computing unit only after such a condition has been met. The third computer unit is preferably the computer unit that controls and/or regulates the corresponding object of use.

According to at least one embodiment, in a first step of the method for user-dependent operation of at least one data processing system, at least one first computing unit is provided, which generates at least one user profile of usage objects of the user that is uniquely assigned to the user on the basis of user data of a user stored in a database.

In a second step, a second computer unit is provided, which makes at least one usage suggestion for the future use of a usage object to the user, whereby the user can confirm, change and/or reject the usage suggestion, and further where, in the event of a change and/or rejection of the Proposal for use by the user, the second computer unit then adapts the user profile to changed usage data.

In a third step, a third computer unit is provided, which then receives the user data transmitted by the first computer unit, the user data including control and/or regulation data, by means of which at least one usage object is controlled and/or regulated.

According to at least one embodiment, the second and/or the third computer unit calculates an accuracy, the accuracy being a numerical ratio, in particular a decimal fraction, of suggested usage parameters to the usage parameters actually selected by the user and only when the values fall below and/or are exceeded an accuracy threshold, the user data are transmitted to the third computer unit.

It is also conceivable for the first computer unit, the second computer unit and/or the third computer unit to be built into a single computer unit or a single shared computer unit, for example a single integrated chip.

System-on-a-chip (SOC, dt. a chip system and also called system-on-a-chip) means the integration of all or part of the functions of a system on a chip (DIE), i.e. with integrated circuits ( IC) on a semiconductor substrate (also called monolithic integration). In this case, all of the computing units described above can be monolithically integrated with one another, so that they form a single system-on-a-chip. Such a chip can then perform the different tasks of the computer units described here.

According to at least one embodiment, the second and/or third computer unit (2, 3) sends and/or triggers an error message and/or a corrective reaction to the first computer unit (1) when the threshold value is exceeded and/or not reached.

In particular, an error message can be generated if the accuracy deviates from the accuracy threshold value and/or the accuracy interval and its limits by more than 10%, preferably by more than 5%.

According to at least one embodiment, the computer units form a completely independent and preferably self-contained data system in such a way that the establishment of the communication connection and operation of the communication connection between the computer units is based exclusively on data communication between the computer units. A local communication network can be created here.

In particular, communication between the individual computer units can be set up particularly independently and free from external network and/or Internet influences. An external network component is therefore, for example, a component that is not assigned to the local network described here. The assignment can be done via corresponding IP addressing.

In other words, the method described above and thus the data processing system described above is completely decentralized, so that a complete decoupling of the data processing system described above from a higher-level data processing system (e.g. the Internet) is possible, which significantly increases private security through the decoupling described above.

A local communication network in the sense of the present application can be understood as a personal network (personal area network, abbreviation: PAN), which can be set up and cleared down ad hoc by small devices such as PDAs or mobile phones (for example smartphones). PANs can therefore be set up using various wired transmission technologies such as USB or FireWire or Ethernet or using wireless technologies such as IrDA, Bluetooth or WLAN (WPAN). PANs can be used to communicate with the devices among themselves, but they can also be used to communicate with a larger network (uplink). A PAN created using Bluetooth is called a piconet.

• - dass ihnen eine ID (Identifikation) zugeordnet ist oder wird (beispielsweise durch spezifische Eingabe der ID) und Daten zum Authentifizieren mit Peers (andere Vorrichtungen, die die Erfindung enthalten), und/oder
• - dass ein Reproduzieren von Daten von Peers (wie basierend auf ID und Authentifizierung zur Verfügung gestellt) durchgeführt wird, und/oder
• - die Kontrolle von ausgegebenen Signalen auf Basis dieser Daten durchgeführt wird.

These devices then control, for example, other devices such as lamps (one or many), light switches (one or many), sockets (one or many), etc. thereby

• - that they are or will be assigned an ID (identification) (e.g. by entering the ID specifically) and data for authentication with peers (other devices incorporating the invention), and/or
• - that reproducing data from peers (as provided based on ID and authentication) is performed, and/or
• - the control of issued signals is carried out on the basis of this data.

According to at least one embodiment, at least one data set is transferred from one computer unit to the other computer unit or vice versa by means of a separate input element and/or by means of an input element installed in one or more of the computer units. As an alternative to this, such a data transmission can be free of the separate input into such an input element, so that a data transmission, for example after a previous setting, can take place fully automatically to at least one of the computer units.

In this context, it is conceivable that such a separate input element could be, for example, a display of a mobile phone or a light switch or some other mechanical, electrical or electromechanical element that generates a data set that is directly connected to a computer unit that is assigned to this input element, preferably one that is uniquely assigned is forwarded. In a computer of the computing unit, this data record generated by the separate input element is then converted into such a data record or such a data packet, which is at least partially composed in an HTML language and also contains the structured mark-ups compatible with the HTML-based language elements (structured markup) contains. This modified data packet is then forwarded from a temporary memory in the computer unit to this computer, which then forwards this modified data packet (HTML data packet), for example in the form of a push notification, to at least one other data computer.

In particular, it is conceivable that a chain reaction takes place in this context, so that this additional computer unit (e.g. the second and/or the third computer unit) modified this data packet, for example, or modified this additional data packet further by way of a purely exemplary further modification of this additional data packet Data packet is forwarded to an additional data computer (second and/or third computer unit) or any other data computer that forms the private communication system. One of the data sets can therefore be displayed on a further separate input element and/or separate output element of one of the computer units, or an output element of a data computer, which is different from the input element of a data computer, can be controlled or regulated using this data set, which has been modified at least once. This data transport is therefore preferably not, or not only, a data transport as part of a relay function. The data fed into this computer unit is preferably changed, i.e. modified, on each computer unit by adding specific markups, among other things.

The term "modification" can either mean a partial or complete change of the dataset, for example with regard to its dataset architecture, or "modification" simply means that the dataset or data remains unchanged and to this unchanged dataset by anyone or internal indices and/or context files, for example for identification purposes, are attached to and/or placed in front of one of the data processors. In this respect it is conceivable that the HTML files generated by a data processor remain identical across the entire system and can only be supplemented by internal indexes and/or context files.

In addition, access and/or access by users can be particularly simple with regard to the user himself, the location, the time and also generic cal (e.g. externally or internally formed) data can be controlled and monitored.

In addition, it is possible for very large files, for example video files, to be exchanged with one another via the private data processing system described above, in particular using an e-mail exchange program, since this does not have access to the higher-level Internet.

Address books from inbound containers, inbound recovery programs, etc. can also be transferred from one of the data processors to the other. This is made possible, among other things, by the fact that at least one of the computers represents a central processing unit, which is selected, for example, by one or more users (for example via IP addressing) to form a central storage unit on which at least part, preferably all Data are stored temporarily or permanently. This data is stored by this central processing unit, but is also sent on again from this central storage unit, for example as part of push messages to the respective decentralized data processors of the private data communication system. However, instead of data transmission based on push messages, a pull message data transmission is possible.

According to at least one embodiment, the data packets include HTML data packets. The communication between the individual computer units and/or the objects of use among themselves and between the computer units can therefore take place on the basis of an HTML-based communication link.

In a further step, an HTML-based communication connection is set up between the data computers, with data being transmitted from one data computer to at least one other data computer after the communication connection has been set up. "HTML-based communication connection" refers to any communication connection that is at least partially based on an HTML standard and/or includes the transmission of data packets that are at least partially constructed in the form of an HTML data packet or at least partially contain such a data packet.

At the same time, the term "HTML-based" defines and/or forms a communication layer within the meaning of the application, within which the data packets are moved. The HTML-based communication layer defined in this way is therefore an application-oriented layer. For example, the data packets presented in this invention do not leave the communication layers defined by the HTML data packet.

In particular, this can mean that the communication connection is free of data packets that represent a “deeper” programming language or representation in the sense of the OSI standard compared to the HMTL communication layer described above. In principle, therefore, the present invention is also based, among other things, on the concept that the communication system described here not only has a predeterminable selection of well-defined users that can always be set by the user themselves, but is also such a communication system which - after prior specific IP Addressing by the user - but then uses the HTML layer described above as the deepest communication layer in a particularly user-friendly manner.

According to at least one embodiment, at least one, for example exactly one, computer unit (central data computer) within the data processing system is a data memory of the data processing system, with all data packets preferably being sent from the data computer (peripheral computer units) to this data computer and then managed and/or stored by this data computer .

According to at least one embodiment, data from a peripheral processing unit, ie at least one of the processing units described above, is restored by retrieving one of the data stored in the central processing unit (likewise one or more of the processing units described above).

According to at least one embodiment, a computer unit is a mobile user terminal, in particular, such as a toothbrush, a coffee machine, or the like.

For example, the mobile user terminal is a robot. A robot, as the term is used herein, is an electromechanical machine that includes computer hardware and software that causes the robot to perform functions autonomously and without human assistance. Exemplary robots commercially available today include robot vacuum cleaners and lawn mowers. For example, a conventional off-the-shelf robot vacuum contains computer-executable instructions that, when executed by a robot vacuum's processor, cause the robot vacuum to automatically vacuum a specific area (e.g., a room) based on input received from the robot vacuum's sensors receive will. A conventional commercially available robotic lawn mower is configured with computer-executable instructions that, when executed by a processor of the robotic lawn mower, cause such robotic lawn mower to cut grass in a specified area (e.g., lawn) automatically and without human intervention. B. in the garden of a homeowner) mows

However, it is also possible for the mobile user terminal to be different from a robot. A mobile user terminal is then understood to be such a device that is not operated fully automatically but semi-automatically. This can mean that only with the help of one user or another device, a process can be carried out to the end. In this version, therefore, human action is required to operate the mobile user terminal. The computer unit can also be a non-mobile user terminal, such as permanently installed devices.

Artificial intelligence ("AI") is only a few decades old as a scientific discipline and is therefore significantly younger than the classic natural sciences. Nevertheless, it rightly claims the status of a scientific sector in its own right. Your object exerts a special fascination. The reason for this may be that abstract thinking, creativity and even more consciousness are widely considered to be generically human abilities. The fact that AI systems are increasingly gaining or at least imitating these abilities and may soon surpass humans in them is no less drastic as a paradigm shift than the discovery of the heliocentric world view or biological evolution. AI is also playing an increasingly significant role in technological advancements, and there is no indication that this trend is going to end any time soon.

• Künstliche Intelligenz und maschinelles Lernen basieren auf Rechenmodellen und Algorithmen zur Klassifizierung, Bündelung, Regression und Dimensionalitätsreduktion wie zum Beispiel neuronalen Netzen, genetischen Algorithmen, Support Vector Machines, k-Means,
• Kernel-Regression und Diskriminanzanalyse. Solche Rechenmodelle und Algorithmen sind per se von abstrakter mathematischer Natur, unabhängig davon, ob sie anhand von Trainingsdaten „trainiert“ werden können. Daher gelten die Leitlinien in G-II, 3.3 in der Regel auch für solche Rechenmodelle und Algorithmen.

The characteristic of technicality of an invention is decisive for access to patent protection. Whether inventions such as a computer program for machine translation or word processing, image recognition from satellite images, a computer-based medical diagnostic system or a teaching tutorial for learning a foreign language, a legal-tech or autonomous driving system, speech recognition software or a chess computer are to be regarded as technical or not, is not obvious. Nevertheless, the distinction between technical and non-technical inventions, developed in detail by case law, also has a function of central importance for the promotion of innovation through patents for the new and dynamic sector of AI:

• Artificial intelligence and machine learning are based on computational models and algorithms for classification, bundling, regression and dimensionality reduction such as neural networks, genetic algorithms, support vector machines, k-means,
• Kernel regression and discriminant analysis. Such calculation models and algorithms are of an abstract mathematical nature per se, regardless of whether they can be "trained" using training data. Therefore, the guidelines in G-II, 3.3 generally also apply to such calculation models and algorithms.

Expressions such as "support vector machine", "reasoning engine" or "neural network" can only refer to abstract models or algorithms depending on the context and therefore do not necessarily imply the use of technical means on their own.

Artificial intelligence and machine learning are used in various fields of technology. For example, the use of a neural network in a heart monitor to identify irregular heartbeats makes a technical contribution. The classification of digital images, videos, audio and speech signals based on low-level features (e.g. edges or pixel attributes for images) is another typical technical application of classification algorithms.

If a classification method serves a technical purpose, the steps "generation of the training data set" and "training of the classifier" can also contribute to the technical character of the invention if they support the achievement of this technical purpose.

According to at least one embodiment, the method for automatically adjusting the behavior of a mobile user terminal to increase a probability that the mobile user terminal successfully completes a task, for example involving an interaction with a human, comprising a successful completion of the task, for example comprises causing the human to interact with an execution device, for example a particularly mobile user terminal, and/or the execution device interacting with the human, the method being executed by a processor in the mobile user terminal.

According to at least one embodiment, the method includes receiving sensor data of a signal, in particular a first signal which is output by a first sensor, the first signal indicating that a person is in the vicinity of the mobile user terminal, the sensor data also being able to be received by pressing, heating or by automatic recognition systems, in particular a person .

According to at least one embodiment, the method comprises a second signal emitted by a second sensor, the second signal being indicative of a first state of the mobile user terminal, the first state being under the control of the mobile user terminal and the first state being relevant to the Probability is identified that the mobile user terminal will successfully complete the task.

According to at least one embodiment, the method includes identifying an action to be performed by the mobile user terminal, wherein the action is identified to increase a probability of successfully completing the task. According to at least one embodiment, the identified action is based at least in part on the received sensor data and a model representing successes and failures of past attempts of the mobile user terminal to complete the task with other humans.
According to at least one embodiment, a signal is transmitted to an actuator of the mobile user terminal to cause the mobile user terminal to perform the action as an attempt to complete the task.

In accordance with at least one embodiment, an indication identifies whether the user terminal has successfully completed the task based on a human response to the mobile user terminal performing the action.

According to at least one embodiment, sensor data of the action performed and the identified indication of whether the mobile user terminal has successfully completed the task is provided for adapting the model.

According to one embodiment, the individual users are classified, for example in the form of digital images, videos, audio and speech signals, particularly based on low-level features (e.g. edges or pixel attributes for images).

This classification can be used to give the user a recommendation, with the user being able to decide whether this recommendation is followed or whether the recommendation has to be corrected by the user. The then corrected data record also serves, among other things, to increase the probability of a successful completion of the upcoming action.

• Empfangen von Sensordaten, die eines ersten Signals umfassen, das von einem ersten Sensor ausgegeben wird, wobei das erste Signal anzeigt, dass sich ein Mensch in einer Umgebung des mobilen Benutzerendgeräts befindet.

According to at least one embodiment, the method for automatically adjusting the behavior of a mobile user terminal increases a probability that the mobile user terminal successfully completes a task, for example involving an interaction with a human, wherein a successful completion of the task, for example includes causing the human to interact with an execution device, for example a user terminal, in particular a mobile one, and/or the execution device intervening with the human, the method being executed by a processor in the mobile user terminal, the procedure includes:

• receiving sensor data comprising a first signal output from a first sensor, the first signal indicating a human being in a vicinity of the mobile user terminal.

• Identifizieren einer von dem mobilen Benutzerendgerät auszuführenden Aktion, wobei die Aktion identifiziert wird, um eine Wahrscheinlichkeit des erfolgreichen Abschlusses der Aufgabe zu erhöhen, wobei die identifizierte Aktion zumindest teilweise auf den empfangenen Sensordaten und einem Modell basiert, das Erfolge und Misserfolge vergangener Versuche des mobilen Benutzerendgeräts darstellt, die Aufgabe mit anderen Menschen abzuschließen;

According to at least one embodiment, the method comprises a second signal emitted by a second sensor, the second signal being indicative of a first state of the mobile user terminal, the first state being under the control of the mobile user terminal and the first state being relevant to the identifying a probability that the mobile user terminal will successfully complete the task, the method being characterized in that it further comprises:

• identifying an action to be performed by the mobile user terminal, the action being identified to increase a probability of successful completion of the task, the identified action based at least in part on the received sensor data and a model that reflects successes and failures of past attempts by the mobile user terminal represents completing the task with other people;

transmitting a signal to an actuator of the mobile user terminal to cause the mobile robotic device to perform the action as an attempt to complete the task.

According to at least one embodiment, the method is characterized by identifying an indication whether the user end guesses successfully completed the task based on a human response to the user terminal performing the action; and

providing the sensor data, the action taken, and the identified indication of whether the user terminal successfully completed the task to customize the model.

According to at least one embodiment, at least one computer unit has at least the interface to a non-local computer network (Internet), so that a further computer unit connected to the non-local computer network is controlled in order to generate further use of a usage object and/or a further usage object. According to at least one embodiment, at least one computer unit is designed in the form of a system-on-a-chip.

The invention is described in more detail below using an exemplary embodiment and the associated figures. In the 1 an exchange of information within the data system is shown in a schematic representation.

In the 1 It is shown that the method 1000 described here for user-dependent operation of at least one data processing system comprises three computer units, which are each identified by the reference symbols 1, 2, 3.

In particular, the computer unit 1 can be presented as a behavior database, which is in data communication with the computer unit 2 and stores the respective user behavior. The computer unit 2 can carry out a behavior analysis (or user behavior analysis), with the computer unit 3 being able to carry out the prediction of the behavior.

However, the individual tasks can also be exchanged by the computer units described here. In particular, it is shown that all three computer units are in data communication with one another and with one another. The computer unit 1 can communicate directly with the computer unit 3, just as the computer unit 3 can in turn communicate directly with the computer unit 2, which also applies to the computer communication between the computer unit 1 and the computer unit 2.

The computer units 1 to 3 can also be designed as a single data communication element in the form of a “smart device”. These can be integrated into a local household.

It can also be seen that this smart device includes a control interface 4 and a user ID interface 5, so that the control interface 4 and the user ID interface 5 can communicate independently of one another with the user interface 7 in order to view various external objects of use and/or to be able to connect computer units.

Corresponding usage objects 110B of a user are also shown at 11B. A user profile is stored in particular in the smart device, but alternatively also in the object of use. Usage objects can be cell phones, tablets, notebooks, alarm clocks, smart toothbrushes, smart razors, smart motion sensors, smart mattresses, smart TVs, and smart microphones. However, this list is not final. The objects of use are in direct data communication with the smart device and thus in direct data communication with the computer units 1 to 3.

Both the usage objects and the smart device can communicate with an internal or external database 8 .

The objects of use can therefore identify the individual users, for example the household users. The usage objects and/or the individual computers can determine and learn the individual usage properties, ie the individual person's preferences, on the basis of the individual usage requests of the schedules, moods or other users of the household.

The individual objects of use and/or the individual computer units 1 to 3 then, on the basis of the individual wishes of the user and the individual expectations of the user based on personal and environmental factors, predict the individual usage behavior that is likely to happen in the future. Based on the user's response, individual suggestions or behavioral patterns of the object of use or the use of the object of use are predicted, with a corresponding improvement and/or correction of the use prediction being carried out if there is a deviation outside of the threshold values and/or threshold value intervals described above.

The objects of use can only be made usable for the user after personal confirmation or personal unlocking, in particular on the basis of learned behavior.

The communication can either be rooted through a local gateway or can be carried out directly with between the usage objects and that means the smart device and the usage objects.

The operation of a coffee machine in a household with several people can be presented as an example.

The behavior of the residents (setting the coffee program, such as type, intensity, etc. as well as times of use on different days) is recorded in the learning phase already described above (use of the devices and smart sensor data).

In a correction phase, the user is given suggestions for the objects of use and/or the smart device, which includes, for example, an offer for the preset coffee program at certain times of the day or occasions.

If the user makes a different choice, this is first analyzed by the second computer unit and linked to other external influences (such as the daily temperature, the ambient humidity, the ambient temperature).

The presence of other people in the room or in the household can also depend on this.

In an implementation phase, the accuracy of the suggestions made is preferably above a specific threshold that can be confirmed by the user. As a result, the smart device can control certain actions independently, such as switching on the device at a certain time, preheating, making program preselections, etc. The suggestions are preferably prepared and offered independently.

In particular, it can be provided that data exchange between the smart devices placed in the household and the smart sensors (level of use) with internally based external intelligence or databases is prevented.

Preferably, for example, such a data exchange is not possible. The gateway can be used for local data storage and control. This means that the data subjects have the option of monitoring and/or deleting this database at any time. A connection to Internet-based services, such as ordering consumables such as groceries, detergents, etc. or repair services, for example, can take place through a controlled and monitored interface as described above.

the 2 10 shows, in one embodiment, a method 400 for automatically adjusting the behavior of a mobile user terminal 102 to increase a likelihood that the mobile user terminal 102 will successfully complete a task 408 involving, for example, an interaction with a human 104, with a successful completion the task includes, for example, causing the human 104 to interact with an execution device, for example a, in particular mobile, user terminal 102 and/or the execution device engaging with the human 104, the method 400 being carried out by a Processor 220 is executed in the mobile user terminal 102, the method 400 comprising: receiving sensor data 302 comprising a, in particular first, signal which is output by a first sensor 404, the first signal indicating that a person 104 is in an environment 100 of the mobile user terminal 102 t.

2 Also shown is a second signal output by a second sensor 406, the second signal being indicative of a first state of the mobile user terminal 102, the first state being under the control of the mobile user terminal 102 and the first state being relevant to the identifying a likelihood that the mobile user terminal 102 will successfully complete the task 408, the method 400 further comprising: identifying an action to be performed by the mobile user terminal 102, the action being identified to provide a likelihood of successfully completing the task increase, wherein the identified action is based at least in part on the received sensor data 302 and a model 306 representing successes and failures of past attempts by the mobile user terminal 102 to complete the task 408 with other humans 104; transmitting a signal to an actuator 410 of the mobile user terminal 102 to cause the mobile user terminal 102 to perform the action as an attempt to complete the task 408.

Also is from the 2 identifying an indication of whether the robot 102 has successfully completed the task 408 based on a response of the human 104 to the robot 102 performing the action; and providing the sensor data 302, the action taken, and the identified indication of whether the mobile user terminal 102 has completed the task 408 has successfully completed to customize the model 306.

The invention is not limited by the description and the exemplary embodiment. Rather, the invention includes every new feature and every combination of features, which also includes in particular every combination of the patent claims, even if this feature or this combination itself is not explicitly disclosed in the patent claims or in the exemplary embodiment.

Reference List

1

computing unit

2

computing unit

3

computing unit

4

control interface

5

User ID interface

7

interface

8th

internal or external database

11

Database

11A

user data

11B

user

11C

user profile

100

data processing system

101

vicinity

102

mobile user terminal

104

Human110B usage objects

220

processor

302

sensor data

306

model

400

procedure

404

first sensor

406

second sensor

408

task

410

actuator

1000

procedure

Claims (7)

Method (1000) for the user-dependent operation of at least one data processing system (100), - providing at least a first computer unit (1) which, on the basis of user data (11A) of a user (11B) stored in a database (11), provides the user (11B ) generates and/or retrieves a uniquely assigned user profile (11C) of objects of use (110B) of the user (11B), - providing a second computer unit (2) which makes at least one usage suggestion for the future use of a object of use (110B) to the user (11B). , wherein the user (11B) confirms, changes and/or rejects the usage proposal, and further wherein in the event of a change and/or rejection of the usage proposal by the user (11B), the second computer unit (2) then sends the user profile (11C). adapts changed user data, - providing at least one third computer unit (3) which then receives the user data transmitted from the first computer unit (1). gt, wherein the user data are control and/or regulation data by means of which at least one usage object (110B) is controlled and/or regulated. characterized in that the second and/or third computer unit (2, 3) calculates an accuracy, the accuracy being a numerical ratio, in particular a decimal fraction, of proposed usage parameters to usage parameters actually selected by the user, and only from under - or if a certainty threshold value is exceeded, the user data is transmitted to the third computer unit (3). Method (1000) according to claim 1 , characterized in that when the threshold value is undercut and/or exceeded, the second and/or third computer unit (2, 3) sends and/or triggers an error message and/or a corrective reaction to the first computer unit (1). Method (1000) according to at least one of the preceding claims, characterized in that all computer units (1, 2, 3) form a completely independent and, preferably in terms of data technology, self-contained data system in such a way that the establishment of the communication connection and operation of the Communication connection between the computer units (1, 2, 3) exclusively on the basis of data communication between the computer units (1, 2, 3) is based on one another. Method (1000) according to at least one of the preceding claims, characterized in that all data packets for operating and setting up the communication link are stored exclusively in at least one of the computer units (1). Method (1000) according to the preceding claim, characterized in that the data packets based on an e-mail Exchange Sys system can be exchanged under the computer unit (1). Method (1000) according to claim 5 , characterized in that the data packets comprise HTML data packets. Method (1000) according to claim 3 , characterized in that at least one, for example exactly one, computer unit (1, 2, 3) computer unit (1) within the data processing system (100) is a data memory of the data processing system (100), with preferably all data packets from the data computers ( peripheral computer units) (1) are sent to this data computer and then managed and/or stored by this computer unit (1).

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