CN117519825A - Digital personal separation interaction method and device, electronic equipment and storage medium - Google Patents
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Abstract
The disclosure provides a digital personal separation interaction method, a digital personal separation interaction device, electronic equipment and a storage medium. A digital personal distraction method comprising: generating a split digital person, and distributing task attributes for the split digital person according to user input; creating an executable task according to the task attribute of the individual digital person; collecting data of a virtual scene by using a split digital person; and executing corresponding tasks according to the data of the virtual scene. By implementing the technical scheme disclosed by the invention, the user can be assisted to complete experience under multiple scenes.
Description
Technical Field
The present disclosure relates to the field of meta-universe, and in particular, to a digital personal separation interaction method, apparatus, electronic device, and storage medium.
Background
Digital persons as avatars of users in the metauniverse virtual world can simulate, in many respects, behaviors or active content that participates in the real world sense, such as: entertainment program live, sports event live and conference live. Such behaviors and activities are usually characterized by multiple concurrency, high timeliness, jumping and the like, and in order to prevent the missing of key contents, the existing implementation mode is to screen different virtual scene pictures to one screen, and multiple screens are seen simultaneously. For throwing different virtual scene pictures to one screen, a multi-screen simultaneous viewing mode is adopted, so that the concentration of users is easy to disperse, the users are required to actively grasp key information, environment interaction cannot be captured and fed back, and immersive virtual experience is affected.
Disclosure of Invention
In order to solve at least one technical problem in the prior art, the present disclosure provides a digital personal separation interaction method, a digital personal separation interaction device, an electronic device and a storage medium.
According to a first aspect of the present disclosure, there is provided a digital person-to-person interaction method, including:
generating a split digital person, and distributing task attributes for the split digital person according to user input;
creating an executable task according to the task attribute of the individual digital person;
collecting data of a virtual scene by using the split digital person;
and executing the corresponding tasks according to the data of the virtual scene.
Optionally, the method further comprises: and assigning character attributes to the individual digital persons according to user input so that the individual digital persons interact with the virtual scene based on the character attributes.
Optionally, after the generating the personal digital person, the method includes:
matching materials of corresponding scene types from a constructed digital person material library according to the scene types of the individual digital persons;
and decorating the individual digital person according to the matched materials.
Optionally, the method further comprises:
recording material for decorating the individual digital person and corresponding scene types.
Optionally, the creating an executable task according to the task attribute of the individual digital person includes:
matching corresponding atomic tasks according to task information contained in the task attributes;
and carrying out business process series connection on the atomic task to create the task.
Optionally, the method further comprises:
and receiving voice input of a user, converting the voice into text content, and judging whether to newly add or delete the task according to the text content.
Optionally, the executing the corresponding task according to the data of the virtual scene includes:
according to the task analysis calculation graph, an input node and a calculation node are obtained;
and acquiring data of a corresponding virtual scene according to the input node, and executing a computing node according to the data.
Optionally, the executing the corresponding task according to the data of the virtual scene includes:
and executing tasks corresponding to the scene types according to the scene types of the virtual scenes.
Optionally, the method further comprises:
and feeding back the user interested content obtained by executing the task to the user.
According to a second aspect of the present disclosure, there is provided a digital personal profile interaction device comprising:
the generation module is used for generating the individual digital person and distributing task attributes to the individual digital person according to user input;
the task creation module is used for creating executable tasks according to the task attributes of the individual digital persons;
the data acquisition module is used for acquiring data of the virtual scene by using the individual digital person;
and the task execution module is used for executing the corresponding task according to the data of the virtual scene.
According to a third aspect of the present disclosure, there is provided an electronic device comprising:
a processor; and
a memory in which a program is stored,
wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the method according to any of the first aspects of the present disclosure.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method according to any one of the first aspects of the present disclosure.
According to one or more technical schemes provided by the embodiment of the disclosure, a user distributes task attributes for the individual digital persons, the individual digital persons can execute corresponding tasks according to data of the virtual scene based on the distributed task attributes, and the user is assisted to complete experience under multiple scenes.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the disclosure and together with the description serve to explain the principles of the disclosure.
FIG. 1 illustrates a flow chart of a digital personal profile interaction method in accordance with an exemplary embodiment of the present disclosure;
FIG. 2 illustrates a split digital human overall interaction architecture diagram according to an exemplary embodiment of the present disclosure;
FIG. 3 illustrates a schematic block diagram of a digital personal grooming interaction device in accordance with an exemplary embodiment of the present disclosure;
fig. 4 illustrates a block diagram of an exemplary electronic device that can be used to implement embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Aspects of the present disclosure are described below with reference to the accompanying drawings.
Referring to fig. 1, a digital personal separation interaction method includes:
s101, generating a split digital person, and distributing task attributes to the split digital person according to user input.
Before S101, a digital person material library of individual digital persons may be constructed, the digital person material library including body parts, resource categories, keywords, scene types, and the like. Exemplary, the appearance decoration and action asset library is constructed as a digital person material library of the individual digital person, and the digital person material library is subjected to parameter identification, wherein the identification range is as follows: { bmID, typeID, partID, keyword, sendeid }. Wherein bmID is a reference model number of the resource. typeID is a resource class such as: appearance, animation, props. The partID is a body part identification that identifies the body part to which the resource is mounted. And keyword is a keyword description of the material content. The sendeid identifies in which scenes (meetings/sings/events) the material may be used, such as: ball wear, flag whistle prop are commonly used in event scenes, and the same material can be used in multiple scenes.
In S101, the digital person may be cloned to generate a separate digital person, and the separate digital person may be plural. Typically, cloned content may include the ability of a cloned digital person to do so, e.g., digital person appearance, sound, expression/motion, animation, etc.
In S101, an operation interface for assigning task attributes may be generated, and the user inputs related information to match task attributes (i.e., add task attributes) on the individual digital person. The task attributes contain task information, and exemplary task attributes include location, type, carry task, and the like. In order to simplify the task creation process, task templates can be fixed for different scene types, and the task creation can be completed quickly by adding and deleting fixed task items and filling keywords. Such as: star name, song name. The following is a simple scene task model, xxx is the key to be filled in by the user. When new business capability of the system is added, the task template can be further expanded. Generally, the task information of the task attribute includes task information focusing on the content of interest of the user or task information acquiring the content of interest of the user.
In S101, a personality attribute may also be assigned to the individual digital person according to the user input, and a personality type under the personality type of the individual digital person may be configured according to the personality attribute, so that the individual digital person interacts with the virtual scene based on the personality attribute. Illustratively, character types include steady and lively types, each character type matching a respective interaction characteristic including at least one of character actions, automatic language reply content, speech accents, or automatic environmental interaction behaviors, interacting with the virtual scene according to the interaction characteristics. As can be seen, personality attributes are used to simulate personality or behavior of a personalized digital person in different scenarios, such as: in the meeting environment, the individual digital person can be expressed as stable, and can be expressed as lively in the concert event environment. The character attribute has the effect that the score digital person can be represented differently under different scene types, so that diversification is realized.
In S101, in order to make the decoration of the individual digital person match with the corresponding scene type, materials of the corresponding scene type may be matched from the constructed digital person material library according to the scene type of the individual digital person; and (5) decorating the individual digital person according to the matched materials. Similarly, corresponding materials can be matched from the digital person material library according to the reference model type and the task keywords of the individual digital person, and the individual digital person can be dressed according to the matched materials. The digital person decorating interface is entered, and related materials are automatically matched from a material library according to the reference model type (bmID), scene type (sceneID) and task keyword (keyword) contents of the individual digital person, so that preliminary decoration is completed, meanwhile, the decorating interface can display the reference model type by default and all materials under the scene type for a user to further select, and further, the user can switch under different scene types under the same reference model to carry out mixed decoration on the individual digital person.
In S101, material of the adorned individual digital person and a corresponding scene type are recorded. Recording the material of the digital person of the dress and the corresponding scene type can be used as default of the next same type of task. And recommending relevant decorating materials to the user for the next time according to the recorded decorating content, wherein the relevant decorating materials are selected by the user, such as: the ball cover of the ball star concerned by the user is recorded, and the recorded ball cover can be recommended for relevant scenes such as ball games next time.
S102, creating executable tasks according to task attributes of the individual digital persons.
Specifically, according to task attributes carried by the individual digital person, a task that can be executed by an AI (artificial intelligence) back end is created, and new task instructions from a user can be received.
In this step, corresponding atomic tasks may be matched according to task information contained in the task attribute, and service flows of the atomic tasks may be connected in series to create a task. Specifically, task splitting can be executed according to task information contained in task attributes of the individual digital persons; matching corresponding atomic tasks according to the split tasks; business processes are performed on the atomic tasks in series to create tasks that can be performed by the AI. The calculation graph is responsible for the series connection of atomic task business processes.
The task creation process is illustratively as follows:
according to the task list carried by the individual digital person, task splitting (such as splitting) is carried out, corresponding AI back-end atomic tasks are matched, the task is marked as t= < atomic task ID, input parameters >, business processes of the atomic tasks are connected in series, tasks which can be executed by the AI back-end are created and obtained, the task is marked as T= { scene ID, task ID, { T1, …, ti }, G }, G is a calculation graph of the serial tasks, and the calculation graph is responsible for business logic and process series of a plurality of atomic capabilities and forms a complete task.
For example, the task is "focus xxx ball star goal", the corresponding AI backend atomic task node is "person identification, goal/score identification", and the computational graph G completes the logical concatenation of the two nodes. If atomic capability does not exist or the match fails, the task creation fails. And finally, adding the tasks which are successfully connected in series into a task pool.
The task instruction receiving process is as follows:
and receiving voice input of a user, converting the voice into text content, judging whether the task is a newly added/added task according to the text content, and completing the creation of the newly added task by using the same steps. Receiving user voice input, converting voice into text content, and judging whether the text content is a deletion task, for example: the keyword contains "delete task, cancel task, etc." find and delete the task from the task pool.
In one embodiment, the matching actions, automatic language reply content, voice accents, and automatic environment interaction actions for the individual digital person can also be performed according to the character attributes of the individual digital person.
The matching principle is as follows:
1. the stable character digital person matches with basic character actions; the lively class adds some exaggeration class character actions to the basic character actions.
2. The stable character digital person, the automatic language reply content is mainly concise, and the voice accent is official (such as the accent of the broadcaster); the lively digital people, the automated language reply content can contain some humorous content, and the voice accent can be set according to user preference, such as: the mouth cavity of the star character, the cartoon character and the voice cavity can be adjusted based on the latest AI human voice synthesis technology.
3. The automatic environment interaction is a reaction which is automatically made by a digital person according to the condition of the field environment. The stability class character can perform some simple environment interaction behaviors according to the environment conditions, such as: nodding, clapping and calling, namely 'good'; lively digital people can enrich behaviors such as: some exaggeration/scaling actions, speaking some network popularity.
S103, acquiring data of the virtual scene by using the split digital person.
The data of the virtual scene can comprise image, sound, text, environment interaction and the like, and the data of the image, sound, text, environment interaction and the like can be collected on the virtual scene by using the body-separating number and uploaded to a data server.
The acquisition process is as follows:
1. and adjusting the visual angle, focal length and exposure degree of the camera in the virtual scene, rendering the 3D picture content of the virtual scene into a 2D image, and uploading the 2D image to a data server. The data tag format is { scene ID, data type, data binary, additional attribute }.
2. And (3) adjusting the spatial position of the individual digital person in the virtual scene, collecting sound data from different positions, and labeling the sound data with a spatial position label. Such as: { scene ID, sound, data binary, spatial location }, and after simple post-processing (noise reduction) of the sound data, upload to the data server, where the spatial location may be stage/course front row, corner, audience etc.
S104, executing corresponding tasks according to the data of the virtual scene.
The step can analyze the computational graph according to the task to obtain input nodes and computational nodes; and acquiring data of the corresponding virtual scene according to the input node, and executing the computing node according to the data to obtain a processing result.
The step can execute tasks of corresponding scene types according to the scene types of the virtual scene.
By way of example, the acquired data of the virtual scene is used to call the AI back end to execute the corresponding task.
The execution process is as follows:
1. the calculation graph G is analyzed for the current task Ti, and an input node and a calculation node (Ti constitution) are obtained.
2. And obtaining a data source path from the data server according to the current scene ID and the input node information, and establishing connection by calculating the service of the node ti.
3. And acquiring data from the data source path, executing the computing node, and obtaining a processing result.
Illustratively, following S104, the user may be fed back with the content of interest to the user resulting from performing the task.
After S104, the task execution result is confirmed in S104, and when the task trigger condition is satisfied, the execution result or the content of the virtual scene is displayed on the front end of the digital person, and the user waits for further decision making. The display form of the content fed back by the front end can be text, voice reminding, on-site real-time pictures and the like. According to the information fed back by the digital person, the user can send an instruction (voice instruction, manual operation) to switch the scene, and can also send a related instruction to ignore the reminding.
Further, the user may set a task agent to the individual digital person, instead of the user completing some simple task operations, such as: interact with the surrounding environment, wherein the interaction behavior and action content of the agent comes from personality attribute settings. When the activity is finished, the individual digital person can be destroyed.
Referring to fig. 2, fig. 2 is a diagram of a split digital human-human interaction architecture according to an embodiment of the present disclosure. The front end of the digital person comprises the digital person assembly, task attributes, character data and an interactive interface of each digital scene, and a plurality of generated individual digital persons, wherein the individual digital persons are also provided with task agents to replace users to complete some simple task operations, and the interactive interface is used for feedback display. The digital person back end comprises data acquisition, a data server, field picture sound, task creation/reception, an AI back end, task decision and task triggering.
According to the technical scheme, task attributes are given to the individual digital persons, tasks are created according to the task attributes, data of virtual sites can be collected based on the individual digital persons, the corresponding tasks are executed, interesting content of a user is obtained according to the data of the virtual scenes, the interesting content is fed back to the user, and the user is assisted in completing virtual and real experience under multiple scenes.
According to the technical scheme, the digital human image after the decoration and personality attributes are endowed with the environment scene to be more matched, and the problem of single digital human image in different scenes is solved. The user experience of virtual and real users at the same time of multiple times is met, and meanwhile, won't drop the highlight important content, so that the user can arrive at the scene quickly.
Referring to fig. 3, a digital personal organizer, comprising:
the generating module 301 is configured to generate a personal digital person, and assign task attributes to the personal digital person according to user input.
The task creation module 302 is configured to create an executable task according to the task attribute of the individual digital person.
The data acquisition module 303 is configured to acquire data of a virtual scene by using the individual digital person.
The task execution module 304 is configured to execute a corresponding task according to the data of the virtual scene.
In one embodiment, the generating module 301 is further configured to assign a personality attribute to the individual digital person according to the user input, so that the individual digital person interacts with the virtual scene based on the personality attribute.
In one embodiment, the digital person-in-person interaction device further comprises a decorating module, which is used for matching materials of corresponding scene types from the constructed digital person material library according to the scene types of the person-in-person; and (5) decorating the individual digital person according to the matched materials.
In one embodiment, the digital person-in-person interaction device further comprises a recording module for recording material of the adorned person-in-person and the corresponding scene type.
In one embodiment, the task creation module 302 is configured to, when creating an executable task according to the task attribute of the individual digital person, specifically: matching corresponding atomic tasks according to task information contained in the task attributes; and carrying out business process series connection on the atomic task to create the task.
In one embodiment, the task creation module 302 is further configured to receive a voice input from a user, convert the voice into text content, and determine whether to add a task or delete a task according to the text content.
In one embodiment, the task execution module 304 is configured to execute a corresponding task according to data of a virtual scene, where the task execution module is configured to: according to the task analysis calculation graph, obtaining an input node and a calculation node; and acquiring data of the corresponding virtual scene according to the input node, and executing the computing node according to the data.
In one embodiment, the task execution module 304 is configured to, when executing a corresponding task according to the data of the virtual scene, specifically: and executing tasks of corresponding scene types according to the scene types of the virtual scenes.
In one embodiment, the digital personal parts interaction device further comprises a feedback module for feeding back the user interesting content obtained by executing the task to the user.
In one embodiment, the digital personal body-separation interaction device further includes a display module, configured to display an execution result or display content of the virtual scene when the execution result of the task meets a preset task trigger condition.
The exemplary embodiments of the present disclosure also provide an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the electronic device to perform a method according to embodiments of the present disclosure when executed by the at least one processor.
The present disclosure also provides a non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the present disclosure.
The present disclosure also provides a computer program product comprising a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the present disclosure.
Referring to fig. 4, a block diagram of an electronic device 400 that may be a server or a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 4, the electronic device 400 includes a computing unit 401 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In RAM403, various programs and data required for the operation of device 400 may also be stored. The computing unit 401, ROM402, and RAM403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Various components in electronic device 400 are connected to I/O interface 405, including: an input unit 406, an output unit 407, a storage unit 408, and a communication unit 409. The input unit 406 may be any type of device capable of inputting information to the electronic device 400, and the input unit 406 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device. The output unit 407 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals, vibrators, and/or printers. Storage unit 408 may include, but is not limited to, magnetic disks, optical disks. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The computing unit 401 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the respective methods and processes described above. For example, in some embodiments, the foregoing methods may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 400 via the ROM402 and/or the communication unit 409. In some embodiments, the computing unit 401 may be configured to perform the aforementioned methods by any other suitable means (e.g., by means of firmware).
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
As used in this disclosure, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
Claims (12)
1. A digital personal distraction method, comprising:
generating a split digital person, and distributing task attributes for the split digital person according to user input;
creating an executable task according to the task attribute of the individual digital person;
collecting data of a virtual scene by using the split digital person;
and executing the corresponding tasks according to the data of the virtual scene.
2. The digital personal grooming interaction method in accordance with claim 1, further comprising:
and assigning character attributes to the individual digital persons according to user input so that the individual digital persons interact with the virtual scene based on the character attributes.
3. The digital person-in-person interaction method according to claim 1, wherein after the generating of the person-in-person digital person, the method comprises:
matching materials of corresponding scene types from a constructed digital person material library according to the scene types of the individual digital persons;
and decorating the individual digital person according to the matched materials.
4. A digital personal grooming interaction method in accordance with claim 3, characterized in that the method further comprises:
recording material for decorating the individual digital person and corresponding scene types.
5. The digital person-in-person interaction method of claim 1, wherein the creating an executable task from task attributes of the person-in-person digital comprises:
matching corresponding atomic tasks according to task information contained in the task attributes;
and carrying out business process series connection on the atomic task to create the task.
6. The digital personal grooming interaction method in accordance with claim 1, further comprising:
and receiving voice input of a user, converting the voice into text content, and judging whether to newly add or delete the task according to the text content.
7. The digital personal grooming interaction method in accordance with claim 1, wherein said executing the corresponding task in accordance with the data of the virtual scene comprises:
according to the task analysis calculation graph, an input node and a calculation node are obtained;
and acquiring data of a corresponding virtual scene according to the input node, and executing a computing node according to the data.
8. The digital personal grooming interaction method in accordance with claim 7, wherein said executing the corresponding task in accordance with the data of the virtual scene comprises:
and executing tasks corresponding to the scene types according to the scene types of the virtual scenes.
9. The digital personal grooming interaction method in accordance with claim 1, further comprising:
and feeding back the user interesting content obtained by executing the task to the user.
10. A digital personal grooming interactive device, comprising:
the generation module is used for generating the individual digital person and distributing task attributes to the individual digital person according to user input;
the task creation module is used for creating executable tasks according to the task attributes of the individual digital persons;
the data acquisition module is used for acquiring data of the virtual scene by using the individual digital person;
and the task execution module is used for executing the corresponding task according to the data of the virtual scene.
11. An electronic device, comprising:
a processor; and
a memory in which a program is stored,
wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the method according to any of claims 1-9.
12. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-9.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117891351A (en) * | 2024-03-14 | 2024-04-16 | 北京太一云科技有限公司 | Virtual-real interaction method and system for universe cross-screen |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117891351A (en) * | 2024-03-14 | 2024-04-16 | 北京太一云科技有限公司 | Virtual-real interaction method and system for universe cross-screen |
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