Avatar Affinity Grouping for Dynamic Virtual Environment Theming
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Solution Overview
Problem
Existing virtual reality platforms struggle to dynamically adjust virtual environment themes in real-time based on the changing affinities of avatars, leading to inefficient use of computing resources and a lack of personalized experiences.
Innovation Solution
A method and system that analyze avatars' sentiments and compatibility within virtual environments, group them based on affinity, and dynamically modify the virtual environment theme to reflect the shared affinity, using AI techniques like natural language processing and machine learning to optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual reality platforms render personalized environments for each user, then user experience personalization is improved, but computing resource consumption increases
Solution Approach 1:
The patent merges avatars with similar affinities into shared virtual environments with common themes, rather than rendering completely separate personalized environments for each user. This combining approach reduces redundant rendering computations while maintaining personalized experience through affinity-based grouping.
Solution Approach 2:
The patent creates universal themed environments that serve multiple users simultaneously based on their affinity groupings. A single virtual environment with a specific theme (e.g., nature, urban, fantasy) can accommodate multiple avatars that share similar preferences, making the rendering system more efficient by reusing environment assets across multiple users.
2Adaptability or versatility
If virtual reality platforms dynamically adjust environment themes in real-time, then user experience quality is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic theme adjustment by continuously analyzing avatar affinities and automatically transitioning virtual environments between different themes based on real-time affinity changes. The system monitors avatar interactions and sentiment, then dynamically modifies environment properties such as lighting, textures, and objects to match the current dominant affinity group.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors avatar behavior, interactions, and sentiment within the virtual environment, then uses this information to automatically adjust and modify environment themes. This closed-loop feedback system enables real-time adaptation without requiring complex manual intervention.
3Measurement precision
If virtual reality platforms analyze and group avatars based on sentiment and compatibility, then personalization accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary affinity analysis by pre-processing avatar data, sentiment information, and compatibility metrics before full virtual environment rendering. The system calculates affinity scores and identifies potential grouping relationships in advance, allowing for faster real-time environment adjustments without sacrificing analysis accuracy.
Solution Approach 2:
The patent implements partial affinity analysis by focusing on key sentiment indicators and compatibility factors that have the greatest impact on environment theming, rather than analyzing every possible avatar attribute. This selective analysis approach maintains personalization accuracy while reducing overall processing time and computational overhead.
Data Source
AI summary
Techniques are described with respect to a system, method, and computer program product for managing a virtual environment context. An associated method includes analyzing a plurality of avatars associated with the virtual environment; ranking each avatar of the plurality of avatars based on the analysis; grouping at least a subset of the avatars based on a scoring of each avatar associated with the ranking; and modifying the virtual environment for the subset in accordance with the virtual environment context based on the analysis.