Digital life creation and interaction method and device, computer equipment and storage medium
By building a mapping relationship between digital life and physical hardware and using large models to generate feedback instructions, the problem of loose interaction between virtual digital people and physical hardware is solved, natural interaction and emotional companionship are achieved, and the interactive experience and efficiency are improved.
Patent Information
- Application Number
- CN202510982531.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-16
- Publication Date
- 2025-10-28
AI Technical Summary
Existing interactions between people and virtual digital humans lack close connections and interactions with physical hardware devices. When people interact with voice assistant devices, the functional mode is single and cannot achieve deep emotional understanding and response.
By constructing digital life, configuring perception and action capability modules, establishing a mapping relationship between physical hardware and digital life, and using large models to generate feedback instructions to drive hardware to perform actions, natural interaction is achieved.
It improves the interactive experience and operational efficiency between users and physical hardware, creates an efficient and intelligent human-computer interaction closed loop, gives hardware an intelligent center, and realizes multi-modal natural interaction and emotional companionship.
Smart Images
Figure CN120848733A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of interactive method technology, and particularly relates to a digital life creation and interaction method, device, computer equipment and storage medium. Background Art
[0002] In the current technological field, most related research and development work focuses on two main directions: the interaction between humans and virtual digital humans, and the expansion of voice assistant functions.
[0003] In the area of interaction between humans and virtual digital humans, significant technological investment aims to make digital humans more lifelike, their movements more natural and fluid, and to improve their language understanding and generation capabilities, enabling smoother dialogue and communication. Applications such as virtual idols and virtual anchors utilize advanced motion capture and AI technology to allow digital humans to display nuanced facial expressions and fluid body movements, interacting with viewers. However, these applications are often limited to virtual scenarios, with digital humans primarily acting as content providers, lacking a close connection and interaction with real-world physical hardware devices, thus failing to achieve a deep and natural interactive experience between users and hardware.
[0004] In the realm of voice assistants, such as Siri and Xiao Ai, they rely on speech recognition and natural language processing technologies to understand user voice commands and perform tasks like querying information, setting reminders, and controlling smart home appliances. However, these voice assistants have relatively simple interaction modes, primarily based on the execution of voice commands, lacking a deep understanding and response to user emotions. Because it's impossible to build an intelligent decision-making and interaction system similar to the human brain on the hardware device side, it's difficult to simulate the emotionally rich and flexible communication between people. Summary of the Invention
[0005] The purpose of this invention is to provide a method, apparatus, computer device, and storage medium for creating and interacting with digital life, aiming to solve the problems of the lack of close connection and interaction between humans and physical hardware devices when interacting with virtual digital humans, and the limited functional modes when interacting with voice assistant devices.
[0006] This invention is implemented as follows: a method for creating and interacting with digital life is provided, comprising the following steps: A digital life with basic attribute values is constructed based on the basic information input by the user. Based on the functional characteristics of the physical hardware, a corresponding interactive capability module is configured for the digital life, and the interactive capability module includes at least a perception capability module and a motion capability module. Establish the mapping relationship between the physical hardware and the digital life; and The system receives user interaction data with the physical hardware, inputs the interaction data into the digital life, generates feedback instructions based on the basic attribute values and the interaction capability module through a large model, and sends the feedback instructions to the physical hardware so that the physical hardware can perform feedback actions according to the feedback instructions.
[0007] In some implementations, constructing a digital life based on basic information input by the user, wherein the digital life has basic attribute values, includes the following steps: Generate personality attributes based on the personality information input by the user; Generate emotional attributes based on the emotional information input by the user; Generate language attributes based on the language features input by the user; and A digital life with basic attribute values is constructed based on the personality attribute, the emotional attribute, and the language attribute.
[0008] In some embodiments, the sensing module is configured with at least one of the following sensing capabilities corresponding to the sensors of the physical hardware: touch, vision, hearing, temperature sensing, humidity sensing, and brightness sensing; and / or The motion capability module is configured with the actions of each part corresponding to the physical hardware and a unique execution code; and / or The interactive capability module also includes a language capability module, an information display module, a memory storage module, and a personality and emotion adjustment module.
[0009] In some implementations, the step of generating feedback instructions through a large model and sending the feedback instructions to the physical hardware so that the physical hardware performs a feedback action according to the feedback instructions includes the following steps: A multi-level feedback instruction is generated by a large model and sent to the physical hardware so that the physical hardware can perform multi-level feedback actions according to the multi-level feedback instruction. The multi-level feedback instruction includes a first-level feedback instruction, a second-level feedback instruction and a third-level feedback instruction. The first-level feedback instruction has a faster response speed than the second-level feedback instruction, and the second-level feedback instruction has a faster response speed than the third-level feedback instruction.
[0010] Another embodiment of the present invention also provides a digital life creation and interaction device, comprising: Construction units are used to build digital lives with basic attribute values based on basic information input by the user. A configuration unit is used to configure a corresponding interactive capability module for the digital life according to the functional characteristics of the physical hardware. The interactive capability module includes at least a perception capability module and a motion capability module. Establishment unit, establishing the mapping relationship between the physical hardware and the digital life; and An interaction unit is used to receive user interaction behavior data on the physical hardware, input the interaction behavior data into the digital life, generate feedback instructions through a large model based on the basic attribute values and the interaction capability module, and send the feedback instructions to the physical hardware so that the physical hardware can perform feedback actions according to the feedback instructions.
[0011] In some embodiments, the building unit includes: The personality attribute generation module is used to generate personality attributes based on the personality information input by the user. The emotion attribute generation module is used to generate emotion attributes based on the emotion information input by the user. The language attribute generation module is used to generate language attributes based on the language features input by the user; and The digital life construction module is used to construct a digital life with basic attribute values based on the personality attribute, the emotional attribute, and the language attribute.
[0012] In some embodiments, the sensing module is configured with at least one of the following sensing capabilities corresponding to the sensors of the physical hardware: touch, vision, hearing, temperature sensing, humidity sensing, and brightness sensing; and / or The motion capability module is configured with the actions of each part corresponding to the physical hardware and a unique execution code; and / or The interactive capability module also includes a language capability module, an information display module, a memory storage module, and a personality and emotion adjustment module.
[0013] In some implementations, the interaction unit includes: A multi-level feedback module is used to generate multi-level feedback instructions through a large model and send the multi-level feedback instructions to the physical hardware so that the physical hardware can perform multi-level feedback actions according to the multi-level feedback instructions. The multi-level feedback instructions include a first-level feedback instruction, a second-level feedback instruction and a third-level feedback instruction. The first-level feedback instruction has a faster response speed than the second-level feedback instruction, and the second-level feedback instruction has a faster response speed than the third-level feedback instruction.
[0014] Another embodiment of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the digital life creation and interaction method as described in any of the above embodiments.
[0015] The present invention also provides a storage medium storing a computer program that can be executed to implement the steps of the digital life creation and interaction method as described in any of the above embodiments.
[0016] The digital life creation and interaction method, apparatus, computer equipment, and storage medium provided in this invention construct an intelligent interaction system based on a large model. Through digital life-physical hardware mapping technology, the large model is deeply empowered as the intelligent hub of the physical hardware. Specifically, users can create digital lives that correspond one-to-one with physical hardware. Through feature extraction technology, the digital lives are endowed with corresponding interactive capability modules for the physical hardware, establishing a precise mapping relationship between them. During the interaction, the user's interaction behavior data with the physical hardware is transmitted to the digital life in real time. After semantic understanding, intent recognition, and decision analysis by the large model, the processing results are transformed into executable feedback instructions for the physical hardware, ultimately driving the physical hardware to complete the response. This achieves an efficient and intelligent human-computer interaction closed loop "with digital life as the bridge and the large model as the core." This invention breaks through the traditional hardware interaction mode, significantly improving the user's interaction experience and operational efficiency with physical hardware through the anthropomorphic interaction design of digital life and the intelligent decision-making capabilities of the large model. Attached Figure Description
[0017] Figure 1 This is a flowchart of the digital life creation and interaction method provided in the embodiments of the present invention; Figure 2 This is a structural block diagram of the digital life creation and interaction device provided in the embodiments of the present invention. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the invention, and should not be construed as limiting the invention. Furthermore, it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0019] In the description of this invention, it should be understood that the terms "length", "width", "upper", "lower", "left", "right", "horizontal", "top", "bottom", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.
[0020] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.
[0021] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection, an electrical connection, or a connection that allows for communication; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.
[0022] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.
[0023] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the invention. Furthermore, reference numerals and / or letters may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. In addition, examples of various specific processes and materials are provided in this invention, but those skilled in the art will recognize the application of other processes and / or the use of other materials.
[0024] refer to Figure 1 This invention provides a method for creating and interacting with digital life, comprising the following steps: S100. Construct a digital life with basic attribute values based on the basic information input by the user; S200. Based on the functional characteristics of the physical hardware, configure a corresponding interactive capability module for the digital life. The interactive capability module includes at least a perception capability module and a motion capability module. S300, Establish the mapping relationship between the physical hardware and the digital life; and S400: Receive user interaction data with the physical hardware, input the interaction data into the digital life, generate feedback instructions through the large model based on the basic attribute values and the interaction capability module, and send the feedback instructions to the physical hardware so that the physical hardware performs feedback actions according to the feedback instructions.
[0025] The user inputs basic information, and based on this, a digital life is constructed. This digital life possesses basic attribute values, such as name, gender, personality, and emotions. According to the functional characteristics of the physical hardware, corresponding interactive capability modules are configured for the digital life, essentially giving it corresponding functions. The physical hardware can be, for example, a toy dog, toy car, or toy airplane. A unique ID for the digital life is configured for the physical hardware, establishing a one-to-one mapping relationship between the physical hardware and the digital life, thus completing the binding between them. After binding, the user interacts with the physical hardware; for example, the user pats the toy dog's head. This generates interaction data, which is input into the digital life. Based on the digital life's basic attribute values and interactive capability modules, the large-scale model analyzes the data, generating executable feedback commands for the physical hardware. These commands are then sent to the physical hardware, which executes the corresponding actions.
[0026] This method constructs an intelligent interaction system based on a large model. Through digital life-physical hardware mapping technology, the large model is deeply empowered as the intelligent hub of the physical hardware. Specifically, users can create digital lives that correspond one-to-one with physical hardware. Through feature extraction technology, the digital lives are endowed with corresponding interactive capability modules for the physical hardware, and a precise mapping relationship is established between the digital lives and the physical hardware. During the interaction, the user's interaction behavior data with the physical hardware is transmitted to the digital life in real time. After semantic understanding, intent recognition, and decision analysis by the large model, the processing results are transformed into executable feedback instructions for the physical hardware, ultimately driving the physical hardware to complete the response. This achieves an efficient and intelligent human-computer interaction closed loop "with digital life as the bridge and the large model as the core." This invention breaks through the traditional hardware interaction mode, significantly improving the user's interaction experience and operational efficiency with physical hardware through the anthropomorphic interaction design of digital life and the intelligent decision-making capabilities of the large model.
[0027] In some specific embodiments of this application, the step of constructing a digital life based on basic information input by the user, wherein the digital life has basic attribute values, includes the following steps: Generate personality attributes based on the personality information input by the user; Generate emotional attributes based on the emotional information input by the user; Generate language attributes based on the language features input by the user; and A digital life with basic attribute values is constructed based on the personality attribute, the emotional attribute, and the language attribute.
[0028] Users can click the option to build a digital life to begin the process of building a digital life.
[0029] Users input personality information, such as lively, quiet, sensitive, calm, curious, cautious, etc., and personality attributes are generated based on this information. For example, users can directly input personality information based on their personal thoughts, and personality attributes are generated based on the directly input personality information. Alternatively, personality information is generated by default, and if the user believes that the generated personality information meets the requirements, they can select to confirm, and personality attributes are generated based on the confirmed personality information. If the user believes that the generated personality information does not meet the requirements, they can re-enter personality information, and personality attributes are generated based on the re-entered personality information.
[0030] Users input emotional information, such as anticipation, dependence, focus, boredom, relaxation, curiosity, anger, fear, calmness, happiness, and resentment, and emotional attributes are generated based on this information. For example, users can directly input emotional information based on their personal thoughts, and emotional attributes are generated based on the directly input emotional information; alternatively, emotional information is generated by default, and if the user believes that the generated emotional information meets the requirements, they can select confirmation, and emotional attributes are generated based on the confirmed emotional information. If the user believes that the generated emotional information does not meet the requirements, they can re-enter emotional information, and emotional attributes are generated based on the re-entered emotional information.
[0031] Users input language features, such as whether they possess speech ability, or, if they do possess speech ability, they select voice timbre, voice characteristics, etc., and language attributes are generated based on these language features. For example, users can directly input language features based on their personal thoughts, and language attributes are generated based on these directly input language features; or, based on the personality and emotional attributes generated above, a large model generates corresponding language features, which the user then confirms, and language attributes are generated based on the confirmed language features; or, based on the personality and emotional attributes generated above, a large model generates multiple corresponding language features, from which the user selects one language feature, and language attributes are generated based on the selected language feature.
[0032] Based on the personality attributes, emotional attributes, and language features generated above, a digital life with basic attribute values is constructed, and these basic attribute values are matched with the personality attributes, emotional attributes, and language features.
[0033] In addition to the above, users can also input a type, and the system will receive the user's input type. For example, users can select the corresponding type based on physical hardware, which could be generated by taking a photo of the physical hardware, and then the user can confirm. Alternatively, users can choose any type, which can be one of several pre-generated types or a user-defined type. Users can also input their name, gender, and date of birth, and the system will receive this information. Based on all or part of the above input information, the large model generates multiple sets of matching images. Users can then choose one set of images to represent their digital life.
[0034] In some specific embodiments of this application, the sensing module is configured with at least one of the sensing capabilities of touch, vision, hearing, temperature sensing, humidity sensing, and brightness sensing corresponding to the sensors of the physical hardware.
[0035] The physical hardware is equipped with tactile sensors, such as pressure sensors, which can detect the magnitude of the force received by each part and determine what kind of operation the user is currently performing on the physical hardware, such as gently stroking the head or patting the head hard. The digital life is configured with corresponding perception modules, and then sends this information to the large model so that the large model can perform subsequent analysis.
[0036] The physical hardware is equipped with visual sensors, such as cameras, to capture images and / or videos. The digital life is configured with corresponding perception modules to send the images and / or videos to a large model for subsequent analysis.
[0037] The physical hardware is equipped with auditory sensors, such as microphones, to acquire ambient audio. The digital life is configured with corresponding perception modules to send the audio to a large model for subsequent analysis.
[0038] The physical hardware is equipped with a temperature sensor to acquire ambient temperature information. The digital life is configured with a corresponding sensing module to send the temperature information to the large model so that the large model can perform subsequent analysis.
[0039] The physical hardware is equipped with a humidity sensor to acquire ambient humidity information. The digital life system is configured with a corresponding sensing module to send the humidity information to the large model for subsequent analysis.
[0040] The physical hardware is equipped with a brightness sensor to acquire ambient brightness information. The digital life is configured with a corresponding perception module to send the brightness information to the large model so that the large model can perform subsequent analysis.
[0041] And / or, the motion capability module is configured with actions for each part of the physical hardware and unique execution code.
[0042] Based on the various parts of the physical hardware, the digital life form is assigned corresponding body parts, including but not limited to the following: head, ears, legs, etc. Users can also customize various body parts according to their needs. Taking a toy dog as an example, users can assign corresponding body parts to the toy dog, such as head, ears, legs, and body. The digital life form corresponding to the physical hardware is then assigned the ability to perform actions. For example, if the physical hardware is a toy dog, and the toy dog has body parts such as head, ears, and legs, the actions these body parts can perform are as follows: Head: raise, lower, open mouth; Ears: stand up, rotate; Legs: lie down; walk. Therefore, body parts are created for the digital life dog: head, ears, and legs. Then, different execution codes are defined for different actions of different body parts. The execution codes can be set to any string, provided they are not repeated. Examples are as follows: Head: raise, execution code is a1; Head: lower, execution code is a2; Head: open mouth, execution code is a3; Ears: stand up, execution code is b1. In addition to creating different execution codes for actions on different body parts, different execution codes can also be created for combined actions, as shown in the following example: Raise your head for 2 seconds, open your mouth, and perk up your ears; the execution code is x1. Lower your head, open your mouth, and lower your ears; the execution code is x2. Both the execution codes for combined actions and the execution codes for actions on different body parts are globally unique for that digital life form and cannot be repeated.
[0043] And / or, the interactive capability module may further include a language capability module, an information display module, a memory storage module, and a personality and emotion adjustment module.
[0044] When the physical hardware is equipped with an audio player, the digital life is endowed with a language capability module. The large model generates feedback instructions based on the language capability module and sends the feedback instructions to the physical hardware. The physical hardware plays the audio through the audio player. This audio corresponds to the digital life, thus endowing the physical hardware with the ability to speak.
[0045] When the physical hardware is equipped with a display screen, the digital life form is given an information display module. The large model generates feedback instructions based on the information display module and sends the feedback instructions to the physical hardware. The physical hardware displays the image, pictures, or videos of the digital life form on the display screen. These pictures or videos are generated based on the basic attribute values and interactive capability modules of the digital life form, thereby realizing the interaction between the user and the physical hardware.
[0046] Digital life forms are endowed with memory storage modules, possessing short-term and / or long-term memory capabilities. Regarding short-term memory, the digital life form records daily interactions, including user behavior towards physical hardware and feedback from the larger model, along with the reasons behind those responses. During interactions with the user, the reacting behaviors and language reference all previous interactions of the day and time, thus enabling short-term memory. Regarding long-term memory, when a significant event occurs during a user's interaction with the digital life form, this interaction is recorded as a significant event, such as birth, the first happy interaction, or the first time being harmed. Each subsequent interaction between the digital life form and the user references all previous significant events, thus enabling long-term memory.
[0047] Digital life forms are endowed with personality and emotion adjustment modules. As a digital life form, it has personality attributes and emotional attributes. The more the user interacts with the digital life form, the more these personality and emotional attributes will change. These changes will also cause different feedback behaviors of the digital life form when interacting with the user.
[0048] In some specific embodiments of this application, the step of generating feedback instructions through a large model and sending the feedback instructions to the physical hardware so that the physical hardware performs a feedback action according to the feedback instructions includes the following steps: A multi-level feedback instruction is generated by a large model and sent to the physical hardware so that the physical hardware can perform multi-level feedback actions according to the multi-level feedback instruction. The multi-level feedback instruction includes a first-level feedback instruction, a second-level feedback instruction and a third-level feedback instruction. The first-level feedback instruction has a faster response speed than the second-level feedback instruction, and the second-level feedback instruction has a faster response speed than the third-level feedback instruction.
[0049] A user interacts with physical hardware, for example, by patting the hardware entity on the head. A pressure sensor on the hardware's head detects the pat and determines the force of the action, sending a description of the action to the digital entity, such as a gentle pat or a hard tap. Upon receiving this description, the digital entity generates the appropriate response from the larger model, simultaneously outputting various feedback commands based on the capabilities the user assigned to it during its creation. The physical hardware is categorized into three levels based on the speed of its feedback. The first-level feedback instruction has the fastest response speed. This level of response comes from actions cached within the physical hardware. After the physical hardware receives a user interaction action, it sends the action description to the large model. The large model determines what emotion the digital life should evoke in response to the user based on the action. The physical hardware then retrieves the action sequence that has been pre-set for that emotion from the cache and executes it. The source of the first-level cache is a cache interface. The physical hardware calls this cache interface as needed. Upon receiving a request to call this cache interface, it generates multiple sets of action sequences for different emotions based on the basic information set by the user for the digital life. Thus, after receiving action sequences for various feedbacks of different emotions, the physical hardware caches them all in its storage. When the physical hardware receives the emotional action that should be given by the first-level response, it randomly selects one set from the multiple sets of action sequences for that emotion and executes that set of action sequences. The second-level feedback command reacts slower than the first-level feedback command but faster than the third-level feedback command. After the physical hardware receives the user's interaction, the large model immediately provides a sequence of feedback actions based on the user's behavior. After receiving this sequence of feedback actions, the physical hardware immediately begins executing the second-level feedback command after the first-level feedback command has been completed. The third-level feedback command reacts the slowest. Upon receiving the sent interaction, it sends the interaction, the digital life's basic information, the values of each personality attribute, the values of each emotional attribute, the user's recent interaction history with the digital life, and significant events that occurred during the interaction with the digital life to the large model. Based on this information, the large model can obtain some personality information and personality values of the digital life. Based on this content, the large model will provide feedback information and feedback language content that matches the digital life's behavior, including new values for each attribute, and whether the current event is defined as an important event by the large model. Depending on the system needs, it will also generate a voice file for this feedback information, a photo describing the digital life's new action (optional), and a newly generated video of the digital life's feedback to this action (optional). This feedback action and voice file are then fed back to the physical hardware so that the physical hardware can execute the action.
[0050] This invention reshapes the interaction between humans and physical hardware with a groundbreaking technical architecture, achieving three core value leaps through the deep integration of a large model and digital life. The first core value is reshaping the interaction paradigm and opening a new natural interaction experience. Breaking away from the traditional single interaction mode of hardware relying on button operation and APP command input, this invention endows physical hardware with a unique digital life and injects it with the intelligent interaction capabilities of a large model. Users can interact with the digital life in a human-like manner through multimodal methods such as natural language and gestures, as easily and naturally as conversing with a real partner. Whether it's gently instructing smart home appliances to adjust the indoor environment or gesturing to a smart device to play audio-visual content, the physical hardware can quickly understand and respond to the needs, allowing communication between humans and physical hardware to move away from rigid commands and return to natural dialogue. The second core value is imbuing it with emotional warmth and creating a new ecosystem of intelligent companionship. By injecting personalized traits such as personality and emotions into the digital life, combined with the powerful intent understanding and response capabilities of the large model, physical hardware transforms into a warm intelligent partner. The digital life can not only accurately execute user commands but also sense changes in user emotions, proactively providing companionship and care. In their leisure time, the digital life of a smart speaker will chat with users and share interesting stories; when tired, the digital life of a smart lamp will automatically dim the light to create a comfortable atmosphere, truly achieving a leap from functional interaction to emotional companionship. The third core value is an innovative development model that accelerates the industry's upgrading process. Based on the universal intelligent characteristics of a large model, a standardized digital life development framework is built. Enterprises no longer need to repeatedly develop complex interaction modules; they only need to customize the mapping rules and functional interfaces between the digital life and physical hardware for different hardware products to quickly complete intelligent upgrades. Compared to traditional development solutions, the intelligent development cycle of physical hardware is shortened by 30%-50%, R&D costs are significantly reduced, helping enterprises accelerate product iteration and propelling the intelligent physical hardware industry into a new stage of efficient development.
[0051] refer to Figure 2 This invention provides a digital life creation and interaction device, comprising: Construction unit 100 is used to construct a digital life with basic attribute values based on the basic information input by the user. The configuration unit 200 is used to configure a corresponding interactive capability module for the digital life according to the functional characteristics of the physical hardware. The interactive capability module includes at least a perception capability module and a motion capability module. Establishment unit 300 establishes the mapping relationship between the physical hardware and the digital life; and The interaction unit 400 is used to receive user interaction behavior data on the physical hardware, input the interaction behavior data into the digital life, generate feedback instructions through the large model based on the basic attribute values and the interaction capability module, and send the feedback instructions to the physical hardware so that the physical hardware can perform feedback actions according to the feedback instructions.
[0052] In some specific embodiments of this application, the building unit 100 includes: The personality attribute generation module is used to generate personality attributes based on the personality information input by the user. The emotion attribute generation module is used to generate emotion attributes based on the emotion information input by the user. The language attribute generation module is used to generate language attributes based on the language features input by the user; and The digital life construction module is used to construct a digital life with basic attribute values based on the personality attribute, the emotional attribute, and the language attribute.
[0053] In some specific embodiments of this application, the sensing module is configured with at least one of the following sensing capabilities corresponding to the sensors of the physical hardware: touch, vision, hearing, temperature sensing, humidity sensing, and brightness sensing; and / or The motion capability module is configured with the actions of each part corresponding to the physical hardware and a unique execution code; and / or The interactive capability module also includes a language capability module, an information display module, a memory storage module, and a personality and emotion adjustment module.
[0054] In some specific embodiments of this application, the interaction unit 400 includes: A multi-level feedback module is used to generate multi-level feedback instructions through a large model and send the multi-level feedback instructions to the physical hardware so that the physical hardware can perform multi-level feedback actions according to the multi-level feedback instructions. The multi-level feedback instructions include a first-level feedback instruction, a second-level feedback instruction and a third-level feedback instruction. The first-level feedback instruction has a faster response speed than the second-level feedback instruction, and the second-level feedback instruction has a faster response speed than the third-level feedback instruction.
[0055] For specific implementation methods of the digital life creation and interaction device, please refer to the above-mentioned digital life creation and interaction method, which will not be repeated here.
[0056] This invention provides a computer device including a processor, which executes a computer program stored in a memory to implement the steps of the digital life creation and interaction method described above.
[0057] The present invention also provides a computer-readable storage medium having a computer program (instructions) stored thereon, which, when executed by a processor, implements the steps of the digital life creation and interaction method described above.
[0058] For example, a computer program can be divided into one or more modules, one or more of which are stored in memory and executed by a processor to perform the present invention. One or more modules can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in a computer device. For example, the computer program can be divided into the steps of the digital life creation and interaction methods provided in the above-described method embodiments.
[0059] Those skilled in the art will understand that the above description of the computer device is merely an example and does not constitute a limitation on the computer device. It may include more or fewer components than described above, or a combination of certain components, or different components, such as input / output devices, network access devices, buses, etc.
[0060] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the computer device, connecting various parts of the computer device via various interfaces and lines.
[0061] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as interface display function, interface interaction function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as map interface, selection interface, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.
[0062] If the modules / units integrated into the computer device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, an electrical signal, and a software distribution medium, etc.
[0063] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. A method for creating and interacting with digital life, characterized in that, The following steps are involved: A digital life with basic attribute values is constructed based on the basic information input by the user. Based on the functional characteristics of the physical hardware, a corresponding interactive capability module is configured for the digital life, and the interactive capability module includes at least a perception capability module and a motion capability module. Establish a mapping relationship between the physical hardware and the digital life; as well as The system receives user interaction data with the physical hardware, inputs the interaction data into the digital life, generates feedback instructions based on the basic attribute values and the interaction capability module through a large model, and sends the feedback instructions to the physical hardware so that the physical hardware can perform feedback actions according to the feedback instructions.
2. The digital life creation and interaction method according to claim 1, characterized in that, The process of constructing a digital life based on basic information input by the user, wherein the digital life has basic attribute values, includes the following steps: Generate personality attributes based on the personality information input by the user; Generate emotional attributes based on the emotional information input by the user; Generate language attributes based on the language features input by the user; and A digital life with basic attribute values is constructed based on the personality attribute, the emotional attribute, and the language attribute.
3. The digital life construction and interaction method according to claim 1, characterized in that, The sensing module is configured with at least one of the following sensing capabilities corresponding to the sensors of the physical hardware: touch, vision, hearing, temperature sensing, humidity sensing, and brightness sensing; and / or The motion capability module is configured with the actions of each part corresponding to the physical hardware and a unique execution code; and / or The interactive capability module also includes a language capability module, an information display module, a memory storage module, and a personality and emotion adjustment module.
4. The digital life construction and interaction method according to claim 1, characterized in that, The step of generating feedback instructions through a large model and sending the feedback instructions to the physical hardware so that the physical hardware performs a feedback action according to the feedback instructions includes the following steps: A multi-level feedback instruction is generated by a large model and sent to the physical hardware so that the physical hardware can perform multi-level feedback actions according to the multi-level feedback instruction. The multi-level feedback instruction includes a first-level feedback instruction, a second-level feedback instruction and a third-level feedback instruction. The first-level feedback instruction has a faster response speed than the second-level feedback instruction, and the second-level feedback instruction has a faster response speed than the third-level feedback instruction.
5. A digital life creation and interaction device, characterized in that, include: Construction units are used to build digital lives with basic attribute values based on basic information input by the user. A configuration unit is used to configure a corresponding interactive capability module for the digital life according to the functional characteristics of the physical hardware. The interactive capability module includes at least a perception capability module and a motion capability module. Establish a unit to establish a mapping relationship between the physical hardware and the digital life; as well as An interaction unit is used to receive user interaction behavior data on the physical hardware, input the interaction behavior data into the digital life, generate feedback instructions through a large model based on the basic attribute values and the interaction capability module, and send the feedback instructions to the physical hardware so that the physical hardware can perform feedback actions according to the feedback instructions.
6. The digital life creation and interaction device according to claim 5, characterized in that, The building unit includes: The personality attribute generation module is used to generate personality attributes based on the personality information input by the user. The emotion attribute generation module is used to generate emotion attributes based on the emotion information input by the user. The language attribute generation module is used to generate language attributes based on the language features input by the user; and The digital life construction module is used to construct a digital life with basic attribute values based on the personality attribute, the emotional attribute, and the language attribute.
7. The digital life creation and interaction device according to claim 5, characterized in that, The sensing module is configured with at least one of the following sensing capabilities corresponding to the sensors of the physical hardware: touch, vision, hearing, temperature sensing, humidity sensing, and brightness sensing; and / or The motion capability module is configured with the actions of each part corresponding to the physical hardware and a unique execution code; and / or The interactive capability module also includes a language capability module, an information display module, a memory storage module, and a personality and emotion adjustment module.
8. The digital life creation and interaction device according to claim 5, characterized in that, The interaction unit includes: A multi-level feedback module is used to generate multi-level feedback instructions through a large model and send the multi-level feedback instructions to the physical hardware so that the physical hardware can perform multi-level feedback actions according to the multi-level feedback instructions. The multi-level feedback instructions include a first-level feedback instruction, a second-level feedback instruction and a third-level feedback instruction. The first-level feedback instruction has a faster response speed than the second-level feedback instruction, and the second-level feedback instruction has a faster response speed than the third-level feedback instruction.
9. A computer device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the digital life creation and interaction method as described in any one of claims 1 to 4.
10. A storage medium, characterized in that, The storage medium stores a computer program that can be executed to implement the steps of the digital life creation and interaction method as described in any one of claims 1 to 4.