An AI clone and group experience inheritance system based on a private data domain

Abstract

This invention discloses a personalized AI avatar construction and group digital experience asset inheritance system based on a private data domain, relating to the fields of artificial intelligence and digital asset management. This invention uses a user-isolated private data domain as its operating platform to construct a personalized AI avatar that highly matches the user's personality, thinking, and behavioral habits for an individual user or corresponding group. Through continuous collection and structured processing of user interaction and decision-making data, it accumulates storable, iterative, and transferable digital experience assets within the group. The system supports the authorized integration and scheduling of external compliant experience assets under secure isolation, and employs a dual-drive engine of "general knowledge + personalized experience" for intelligent decision-making and scenario-based responses. Based on anticipating potential user needs, it outputs decision references and adaptive services, while relying on the private data domain to achieve end-to-end data isolation, encrypted storage, and controllable permissions. This invention effectively solves the technical problems of insufficient personalization in existing AI avatars, the inability to scalably inherit digital experience, and the single, passive interaction mode. It can be widely applied to scenarios such as personal intelligent assistants, family management, team collaboration, experience inheritance, and digital experience circulation, demonstrating strong technological innovation and rich application scenarios.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence interaction technology, digital asset management technology, and data security isolation technology, specifically to a personalized AI avatar construction based on a private data domain, a system and method for the accumulation and inheritance of group digital experience assets, multi-source experience fusion, and intelligent decision-making interaction. Background Technology

[0002] Current general-purpose AI interactive products and digital avatar technologies generally suffer from the following technical limitations: First, most AI avatars are based on a shared model architecture, which can only imitate superficial tone and speech. They cannot deeply fit the user's unique personality traits, thinking logic and decision-making patterns, making it difficult to form a truly personalized AI avatar. Their interactive behavior lacks targeting and personalization.

[0003] Secondly, users' personal practical experience, wisdom in dealing with situations, industry knowledge, and experience in avoiding pitfalls cannot be standardized and structured into digital assets, nor can they be safely and orderly transferred and reused within relevant groups. The value of experience is difficult to retain in the long term and can not be passed on at a large scale, resulting in a significant technological gap.

[0004] Third, the interaction mode is mainly based on passive response, lacking the ability to anticipate needs and make proactive decisions. It cannot provide in-depth decision-making assistance by combining users' personalized experiences, resulting in low interaction value and practicality.

[0005] Fourth, external experience assets lack a secure integration mechanism under the premise of data isolation, making it difficult for users to legally learn from high-quality experience, limiting the application scenarios of technology, and making it impossible to realize the cross-entity circulation and value reuse of experience assets.

[0006] To address the aforementioned issues, this invention proposes a complete technical solution based on an independent private data domain, filling the gaps in existing technologies and enabling the deep construction of personalized AI avatars, the long-term inheritance of collective digital experience assets, and the secure integration of multi-source experiences. Summary of the Invention

[0007] Technical Purpose This invention aims to overcome the shortcomings of existing technologies and provide a system and method for constructing personalized AI avatars and inheriting digital experience assets based on private data domains, achieving the following objectives: First, based on an independent private data domain, we build a personalized AI avatar that can be continuously iterated and closely matches user characteristics, enabling exclusive and human-like deep interaction. This allows the AI ​​avatar to possess the user's core personality, thinking, and behavioral habits, becoming more and more in line with the user the more they interact.

[0008] Second, transform individual and group experiences into standardized, iterative, and inheritable digital experience assets, enabling internal transfer and long-term reuse within the group, and allowing practical experience and wisdom to be digitally preserved.

[0009] Third, build a proactive intelligent decision-making engine to predict user intentions and provide personalized services, thereby enhancing decision support capabilities and interactive value, and breaking through the limitations of traditional passive responses.

[0010] Fourth, while ensuring data isolation and security, we can realize the authorization, integration, scheduling, and conflict coordination of external experience assets, taking into account both the reference of external experience and internal data security.

[0011] Fifth, a full-process security mechanism is built based on the private data domain to ensure that AI clone data and experience assets are isolated and encrypted throughout the process, with controllable permissions and no illegal tampering, thus protecting user data security and asset rights. Technical solution

[0012] A personalized AI avatar construction and group digital experience asset inheritance system based on a private data domain includes a dedicated AI avatar construction module, a group digital experience asset accumulation module, an experience asset fusion and scheduling module, an intelligent decision-making interaction module, and a data security management module.

[0013] I. Dedicated AI Avatar Building Module Based on each user's independent private data domain, a unique AI avatar identifier is assigned to each user or corresponding group, and an independent operating subspace is established. Multi-dimensional data such as user voice, text, behavioral decisions, scene preferences, and emotional expressions are collected through multi-modal terminals. After cleaning, deduplication, and structuring, user personality traits, thinking patterns, decision preferences, and behavioral habits are extracted to construct an initial personalized AI avatar. Incremental iterative optimization is achieved based on continuous user interaction data, so that the AI ​​avatar continuously matches and fits the user's characteristics, forming a highly exclusive intelligent agent.

[0014] II. Group Digital Experience Asset Accumulation Module A hierarchical digital experience asset library is established within a private data domain, comprising a general knowledge layer, a core experience layer, and a group inheritance layer. The practical experience, decision-making cases, industry insights, pitfall avoidance tips, and problem-solving logic of users and their groups are standardized and packaged into digital experience asset packages. Each digital experience asset package includes applicable scenarios, core decision-making logic, practical methods, risk warnings, historical cases, and value tag information. It supports categorized storage, activation, and deactivation management, and can be selectively transferred within the group, achieving the group-based inheritance of digital experience. The inheritance process can be adaptively adapted according to the stage and needs of the users.

[0015] III. Experience Asset Integration and Scheduling Module Establish a channel for screening and authorizing the use of experience assets, enabling users to access compliant external digital experience asset packages. Within the security boundary of the private data domain, achieve secure integration of external digital experience asset packages with the proprietary group's digital experience asset library. The integration process employs data anonymization and access control mechanisms to prevent the leakage of original experience asset privacy. The system performs automatic priority scheduling and logical conflict coordination for multi-source digital experience assets. When different experience asset packages have logical conflicts, a user confirmation mechanism or an automatic priority scheduling mechanism is provided to ensure that the AI ​​avatar's calling logic is consistent and the scenario is accurately adapted, enabling the collaborative use of internal and external experience assets.

[0016] IV. Intelligent Decision-Making Interaction Module We construct a dual-drive interaction engine of "general knowledge + personalized experience" to analyze user interaction intentions in real time and predict potential needs, decision-making bottlenecks and scenario requirements; based on scenario requirements, we output decision references, solution suggestions or structured responses to help users complete thinking and decision-making, adapt to multiple scenarios such as personal growth, family management, team collaboration, experience sharing, etc., and improve the depth and practicality of interaction.

[0017] V. Data Security Management Module By relying on independent private data domains, physical and logical dual isolation is achieved between different users, preventing cross-leakage of AI avatar subspaces and digital experience asset libraries of different users; raw data, digital experience assets, and interaction logs are encrypted throughout the entire process of storage and transmission, and high-strength encryption algorithms are used to ensure the security of data storage and transmission; only authorized users can manage and operate on AI avatars and digital experience assets, including querying, modifying, authorizing, and deleting, to ensure that data does not interfere with each other, is not leaked, and cannot be illegally tampered with, thus ensuring the safe and stable operation of the overall system.

[0018] Accordingly, this invention also discloses a method for constructing personalized AI avatars and inheriting group digital experience assets based on private data domains, including the following steps: Step S1: Create an independent subspace for the AI ​​avatar to run within the user's independent private data domain, collect multi-dimensional user interaction data, including voice, text, behavioral decisions, scene preferences and emotional expression data, and extract user features after cleaning, deduplication and structuring, build and continuously iterate and optimize the personalized AI avatar.

[0019] Step S2: Build a hierarchical digital experience asset library within the private data domain, and encapsulate personal and group experiences, decision-making cases, and pitfall avoidance tips into standardized digital experience asset packages to achieve targeted inheritance within the group. The inheritance process can be adaptively adapted according to the stage and needs of the users.

[0020] Step S3: Introduce external compliant digital experience asset packages through an authorization mechanism, and complete the integration and scheduling of external assets and the proprietary digital experience asset library under the premise of data security control. Execute automatic priority scheduling to resolve logical conflicts between different experience asset packages.

[0021] Step S4: Based on the dual-drive engine of "general knowledge + personalized experience", predict user interaction needs, make intelligent decisions and provide personalized response outputs to assist users in completing thinking and decision-making.

[0022] Step S5: Through data isolation and encrypted storage mechanisms, relying on private data domains to achieve dual isolation of different user data, encrypt and store data and assets and ensure controllable operation permissions, ensuring the security of AI avatar data and digital experience assets throughout the entire process. Beneficial effects

[0023] Compared with the prior art, the present invention has the following beneficial effects: First, it achieves a truly personalized AI avatar, relying on a private data domain to operate and iterate independently, deeply fitting the user's personality, thinking and behavioral habits, possessing highly exclusive characteristics, proactively predicting user needs, and providing highly tailored intelligent interactive services, completely different from existing general-purpose AI avatars.

[0024] Second, it enables the standardized accumulation, secure storage, and internal transfer of digital experience assets within groups, transforming scattered experiences into digital assets that can be reused for a long time. This allows for the transfer of experience within various groups such as families, teams, and organizations, reducing trial-and-error costs and filling the technological gap in the large-scale transfer of digital experience.

[0025] Third, by adopting a proactive intelligent decision-making interaction mode, it breaks through the limitations of traditional passive response, can predict needs and output adaptive services, improve decision support capabilities and interactive value, adapt to the needs of multiple application scenarios, and significantly enhance practicality.

[0026] Fourth, it enables the secure integration and scheduling of multi-source digital experience assets, taking into account both external experience learning and internal data security, expanding application scenarios and usage value, and promoting the cross-entity circulation and value reuse of digital experience assets.

[0027] Fifth, it forms a complete technological complement with the underlying private data domain architecture patent, constituting a full-chain protection system from basic architecture to upper-layer applications. The protection scope is complete and difficult to circumvent, possessing strong patent barrier value. At the same time, it relies on the private data domain to protect user data security and asset rights. Detailed Implementation

[0028] The present invention will be further described in detail below with reference to specific embodiments. These embodiments are only some, not all, of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the protection scope of the present invention. Example

[0029] This embodiment describes a system application in a home and residential setting. The specific process is as follows: The first step is the construction of a personalized AI avatar: After user A registers with the system, the system creates a dedicated AI avatar operating subspace based on user A's independent private data domain. Through multimodal terminals such as voice, text, and behavioral operations, the system collects data on user's daily communication methods, decision-making habits, lifestyle preferences, and emotional expressions. After cleaning, deduplication, and structuring, the system extracts core personality and behavioral characteristics to build an initial personalized AI avatar. Subsequent iterations and optimizations are achieved through continuous interaction to ensure that the AI ​​avatar continuously matches the user's characteristics.

[0030] The second step is the accumulation of digital experience assets within the group: User A organizes and packages their financial management experience, health management methods, and life philosophy into a digital experience asset package and stores it in the digital experience asset library; at the same time, the experience asset package can be transferred to relevant groups such as families, and the system will adaptively adjust some asset packages according to the stage of the user.

[0031] The third step is the integration and scheduling of experience assets: users obtain high-quality external experience asset packages through authorized channels of the system, and the system completes the secure integration through permission verification and data anonymization; it automatically schedules the priority of multi-source experience assets, coordinates logical conflicts, and ensures the consistency of calling logic.

[0032] The fourth step is intelligent decision-making interaction: When users consult the AI ​​avatar about relevant life or decision-making issues, the dual-drive engine predicts the user's core needs, combines user characteristics, proprietary experience assets and external high-quality experience, and outputs multi-dimensional decision references and solution suggestions to assist users in making independent judgments and choices.

[0033] The fifth step is data security management: User data is isolated throughout the process through a private data domain. AI avatar data and digital experience assets can only be accessed by the user. Data is stored and transmitted in encrypted form throughout the process to ensure data security and asset rights. Example

[0034] This embodiment demonstrates a system application in a workplace and team setting. The specific process is as follows: The first step is to build a personalized AI avatar: After registering with the system, the system creates a personalized AI avatar based on a private data domain. It collects data on workplace communication, work decisions, learning habits, and emotional expression, extracts personality and thinking characteristics, builds an initial personalized AI avatar, and continuously iterates and optimizes it.

[0035] The second step is the accumulation of digital experience assets in the group: User B encapsulates their own work methods, project practical experience, lessons learned, and emotional regulation methods into a digital experience asset package, which can be transferred to the team or mentor group to achieve the inheritance of group experience.

[0036] The third step is the integration and scheduling of experience assets: users acquire high-quality industry experience asset packages and complete the integration under the premise of security isolation; the system automatically schedules priorities to ensure that experience assets that are compatible with the current stage are called first.

[0037] The fourth step is intelligent decision-making interaction: When users encounter work problems, the AI ​​avatar combines personal experience with general industry knowledge to output targeted ideas and solutions, helping users to independently sort out their thoughts, solve problems, and improve their thinking and decision-making abilities.

[0038] Fifth step, data security management: The user's AI avatar data and digital experience assets are isolated and encrypted in a private data domain throughout the entire process, and the permissions belong only to the user, ensuring that the data is secure and cannot be illegally obtained.

Claims

1. A system for AI avatars and group experience transfer based on a private data domain, characterized in that, include: The dedicated AI avatar building module is used to establish an independent operating subspace based on the user's independent private data domain, collect multi-dimensional user interaction data, including voice, text, behavioral decisions, scene preferences and emotional expression data, and extract user personality, thinking, decision and behavior characteristics after cleaning, deduplication and structuring processing, to build and continuously iterate and optimize personalized AI avatars; The group digital experience asset accumulation module is used to establish a hierarchical digital experience asset library within a private data domain. It encapsulates personal and group experiences, decision-making cases, pitfall avoidance tips, and industry knowledge into standardized digital experience asset packages, enabling targeted inheritance within the group. The inheritance process can be adaptively adapted according to the stage and needs of the users. The experience asset fusion and scheduling module is used to introduce external compliant digital experience asset packages through an authorization mechanism, complete the fusion and scheduling of external assets and the proprietary digital experience asset library under the premise of data security control, execute automatic priority scheduling, and resolve logical conflicts between different experience asset packages. The intelligent decision-making interaction module is used to predict user interaction needs based on a dual-drive engine of general knowledge and personalized experience, make intelligent decisions and output personalized responses to assist users in thinking and decision-making. The data security management module is used to achieve physical and logical dual isolation of different user data based on private data domains, encrypt and store data and digital experience assets, and ensure that operation permissions are controllable, with only the authorized user having management permissions.

2. The system according to claim 1, characterized in that, The dedicated AI clone building module achieves continuous iterative optimization of the AI ​​clone through incremental learning, so that the AI ​​clone continuously matches and fits the user's characteristics.

3. The system according to claim 1, characterized in that the standardized digital experience asset package includes applicable scenarios, core decision-making logic, practical methods, risk warnings, historical cases and value tag information, and supports classified storage, activation and deactivation management.

4. The system according to claim 1, characterized in that, The group inheritance refers to the targeted transfer of digital experience assets within a group within a private data domain. The entire inheritance process is completed securely and isolated within the private data domain.

5. The system according to claim 1, characterized in that, The intelligent decision-making interaction is adapted to multiple scenarios such as personal growth, family management, team collaboration, and experience sharing, providing highly personalized intelligent interactive services.

6. The system according to claim 1, characterized in that, The data security management module encrypts and stores data and digital experience assets throughout the entire process, ensuring that the data is not interfered with, leaked, or illegally tampered with.

7. A system for AI avatars and group experience transfer based on a private data domain, characterized in that, Includes the following steps: S1. Create an independent subspace for the AI ​​avatar to run within the user's independent private data domain, collect multi-dimensional user interaction data, including voice, text, behavioral decisions, scene preferences and emotional expression data, and extract user features after cleaning, deduplication and structuring, build and continuously iterate and optimize the personalized AI avatar; S2. Build a hierarchical digital experience asset library within the private data domain, and encapsulate personal and group experiences, decision-making cases, pitfall avoidance tips and industry knowledge into standardized digital experience asset packages to achieve targeted inheritance within the group. The inheritance process can be adaptively adapted according to the stage and needs of the users. S3. Introduce external compliant digital experience asset packages through an authorization mechanism, and complete the integration and scheduling of external assets and the proprietary digital experience asset library under the premise of data security control, execute automatic priority scheduling, and resolve the logical conflict issues between different experience asset packages; S4. Based on a dual-drive engine of general knowledge and personalized experience, it anticipates user interaction needs, makes intelligent decisions and outputs personalized responses to assist users in thinking and decision-making. S5. Relying on a private data domain, we achieve both physical and logical isolation of different user data, encrypt and store data and digital experience assets, and ensure controllable operation permissions, thus ensuring the security of AI avatar data and digital experience assets throughout the entire process.

8. The method according to claim 7, characterized in that, In step S3, when the external digital experience asset package is integrated with the proprietary asset library, the system automatically performs priority scheduling, unifies the calling logic, and eliminates logical conflicts.

9. The method according to claim 7, characterized in that, In step S4, intelligent decision-making interaction covers multiple scenarios such as personal growth, family management, team collaboration, and experience sharing, improving the relevance and practicality of the interaction.