Metaverse Avatar Authenticity Detection via Tone and Body Language
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Solution Overview
Problem
In a metaverse environment, users face challenges in distinguishing between authentic and unauthentic responses to their queries, as responses may come from trusted or untrusted sources, making it difficult for users to determine the reliability of the information provided.
Innovation Solution
The proposed method employs natural language processing to understand user queries and construct aggregated responses. It identifies authentic and unauthentic sources by deploying distinct avatars with different tones and body languages, allowing users to differentiate between trusted and untrusted information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If responses are aggregated from multiple sources in the metaverse environment, then the comprehensiveness of information is improved, but the difficulty of distinguishing authentic from unauthentic sources increases
Solution Approach 1:
The patent applies visual differentiation through avatar appearance changes to indicate the authenticity status of information sources. Authentic sources are represented by avatars with specific visual characteristics (e.g., normal appearance), while unauthentic sources are represented by avatars with different visual characteristics (e.g., altered appearance, filters, or distinct visual markers). This allows users to quickly distinguish between reliable and unreliable information sources without requiring complex verification processes.
2Reliability
If multiple avatars with different tones and body languages are deployed, then the reliability of information is improved, but the complexity of the system increases
Solution Approach 1:
The patent segments the information delivery system into multiple independent avatar entities, each representing a specific information source. Each avatar is equipped with distinct visual characteristics, tone of voice, and body language patterns that correspond to their authenticity status. This segmentation allows the system to present multiple perspectives simultaneously while maintaining clear differentiation between authentic and unauthentic sources, making the complexity manageable through structured organization.
Solution Approach 2:
The patent creates virtual copies of information sources in the form of avatars that replicate the characteristics of real-world sources. These avatar copies inherit the authenticity status, tone, and communication style of their corresponding real sources, allowing users to interact with information in a familiar, recognizable manner while maintaining the ability to distinguish between authentic and unauthentic representations through their copied characteristics.
3Ease of operation
If natural language processing is used to understand user queries, then the ease of operation is improved, but the processing time increases
Solution Approach 1:
The patent implements preliminary processing of user queries through natural language understanding before information retrieval begins. The system analyzes and categorizes user intentions, identifies key search parameters, and pre-organizes potential information sources based on the query type. This preliminary action reduces the time required for subsequent information aggregation and presentation, as the system already has a structured understanding of what information is needed and from which sources it should be gathered.
Data Source
AI summary
A computer-implemented method, a computer program product, and a computer system for conversational collaboration in a metaverse environment. A computer uses natural language processing to understand a question of a user about an object in the metaverse environment. A computer constructs an aggregated response to the question, based on one or more responses in the metaverse environment. A computer identifies authentic sources and unauthentic sources of the aggregated response. A computer deploys first avatars for the authentic sources and second avatars for the unauthentic sources. A computer causes the first avatars to perform a spoken conversation based on the authentic sources, with a first type of tone and body language. A computer causes the second avatars to perform a spoken conversation based on the unauthentic sources, with a second type of tone and body language.