Group Description Generation for Social VR Avatars
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Solution Overview
Problem
In social virtual reality systems, new users face challenges in identifying and joining existing groups due to a lack of clear communication of group intentions and activities, leading to misunderstandings, exclusion, and negative behaviors, which hampers the adoption and experience of social VR.
Innovation Solution
A method that accumulates the staying time of avatars at a location, identifies groups based on interactive behaviors, provides a questionnaire to users to describe their activities, and generates a group description based on their answers, which is then presented to other users, facilitating informed decisions about joining or interacting with the group.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If no group description system is implemented, then the system remains simple and easy to operate, but new users cannot identify group intentions leading to misunderstandings and exclusion
Solution Approach 1:
The system performs preliminary actions by automatically accumulating staying time data and monitoring interactive behaviors before a user joins a group. This advance preparation creates group descriptions that are ready when new users arrive, eliminating the need for complex real-time analysis while ensuring information is available to prevent misunderstandings and exclusion.
Solution Approach 2:
The system enables self-service by allowing existing group members to automatically generate and maintain group descriptions through their natural interactions. The questionnaire system and behavior monitoring work autonomously to create accurate group profiles without requiring external intervention or complex manual configuration, thus reducing system complexity while improving information availability.
2Ease of operation
If group descriptions are generated based on interactive behaviors, then new users can make informed decisions, but the system requires monitoring and analyzing user behaviors increasing complexity
Solution Approach 1:
The system replaces complex mechanical behavior analysis with simpler data accumulation and pattern recognition. Instead of deeply analyzing the nature of interactions, the system monitors basic presence and interaction metrics, then uses questionnaire responses to generate group descriptions. This substitution reduces computational complexity while still enabling users to make informed decisions about joining groups.
3Measurement precision
If the system monitors interactive behaviors to identify groups, then accurate group identification is achieved, but this requires continuous data collection increasing system resource usage
Solution Approach 1:
The system merges multiple data collection functions into a unified process. The staying time accumulation and interactive behavior monitoring are combined into a single group identification mechanism, reducing redundant data collection and processing. This consolidation maintains accurate group identification while optimizing system resource consumption by eliminating duplicate monitoring efforts.
Data Source
AI summary
The disclosure provides a method for identifying and describing a group, a coordinating device, and a computer program product. The method includes: accumulating a staying time of a plurality of avatars staying at a certain location, wherein the avatars are controlled by a plurality of users; identifying the avatars as a specific ad-hoc group and monitoring a plurality of interactive behaviors between the avatars if the staying time exceeds a time threshold; providing at least one of the users with a questionnaire based on the interactive behaviors; generating a group description about the specific group formed by the avatars based on a plurality of answers of the at least one of the users on answering the questionnaire; and communicating this description to other users.