Multi-Persona Generation for Metaverse Avatars Using Sensing Data
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Solution Overview
Problem
Existing technologies for creating virtual digital avatars in metaverse environments fail to sufficiently reflect users' characteristics and tastes, leading to avatars that lack realism and consistency when selecting predefined options.
Innovation Solution
An electronic device generates multi-personas based on personal characteristic data analyzed from sensing data, using a user device with sensors, a data analysis device, and a pre-learning model to create personalized avatars for different metaverse environments by varying weights of past and real-time data and retraining the model to output unique personas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predefined avatar options are used for creation, then device complexity is reduced and ease of operation is improved, but manufacturing precision of user representation deteriorates
Solution Approach 1:
The system changes parameters by transitioning from fixed predefined avatar options to dynamically generated personas based on analyzed sensing data. Multiple sensing parameters (voice, text, behavior patterns) are processed to generate personalized persona parameters that accurately represent user characteristics while maintaining ease of operation through automated analysis.
2Manufacturing precision
If multiple sensing data parameters are collected and analyzed, then manufacturing precision of user representation is improved, but device complexity increases
Solution Approach 1:
The system segments the complex data processing task into distinct functional modules: sensing data collection from multiple sources, voice pattern analysis, text analysis, behavior pattern analysis, and persona generation. Each module handles specific aspects of the analysis independently, reducing overall system complexity while maintaining high precision in user representation.
3Adaptability or versatility
If personalized personas are generated for different metaverse environments, then adaptability is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary action by pre-analyzing sensing data and generating base persona characteristics before the user actually enters the metaverse environment. The persona generation process is initiated in advance during device setup or initial usage, so that when the user needs to access different metaverse environments, the personalized personas are already prepared or can be quickly adapted from the pre-analyzed data.
Data Source
AI summary
Disclosed is a user device, which includes a plurality of sensors that collects sensing data, a data analysis device that receives the sensing data from a first server or the plurality of sensors to generate personal characteristic data, and a data storage device that stores the personal characteristic data as default parameters, and the data storage device provides the default parameters and the personal characteristic data to a user through an interface, and the data storage device outputs parameters and the personal characteristic data to a second server based on a user input.