A character digital twin replication method, interaction method and system

By eliminating person bias and constructing a multi-dimensional character schema knowledge graph, the logical contradictions caused by third-party narrative data were resolved, and the interactive consistency and realism of the character digital twins were improved.

CN122453992APending Publication Date: 2026-07-24SHENZHEN XINZHIXIANG TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN XINZHIXIANG TECHNOLOGY CO LTD
Filing Date
2026-04-29
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

When constructing digital twins of people, existing technologies suffer from person bias and cognitive subject deviation caused by third-party narrative data, resulting in logical contradictions and insufficient realism during interaction.

Method used

By acquiring multi-source raw narrative data, we can determine the relevance of characters, verify the consistency of time, and label the narrative perspective. This eliminates person bias, constructs a multi-dimensional character schema knowledge graph, and achieves consistency of interaction logic through hierarchical prompts and constraint structures.

Benefits of technology

It improves the consistency of identity perception, the self-consistency of expression logic, and the realism of personality in digital twins, ensuring the naturalness and controllability of interaction.

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Abstract

The present application provides a kind of character digital twin replication method, interactive method and system, it is related to digital twin technical field, the method comprises: step S1, obtains the multi-source original narrative data of the character to be replicated, the multi-source original narrative data includes the original expression data subset generated by the character to be replicated itself, and the narrative data subset formed by third party subject to the character to be replicated;The role correlation degree determination, time consistency verification and narrative perspective annotation are carried out to the multi-source original narrative data, and the initial character narrative data set with narrative subject label is obtained.The present application can eliminate cognitive subject deviation from source, stabilize the characteristics of the replicated character and realize the decoupling coordination of character attributes and interactive process, thereby improving the adaptability and stability of digital twin in human-computer interaction scenarios such as emotional companionship, memory preservation, experience inheritance, etc., to realize the accurate replication of character characteristics and the efficient coordination of interactive process.
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