Metaverse Avatar Pose Determination via Core Avatar Activity
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Solution Overview
Problem
Determining the pose of a new avatar entering a virtual space within a metaverse platform is challenging, as existing technologies lack an efficient method to position the new avatar relative to existing participant avatars.
Innovation Solution
A method that collects activity information of participant avatars, determines a core avatar based on this information, and then positions the new avatar based on the location of the core avatar, including determining its orientation to face the core avatar.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a new avatar enters a virtual space with multiple participant avatars, then the virtual space becomes more populated and interactive, but it becomes difficult to determine the appropriate location and orientation for the new avatar
Solution Approach 1:
The system pre-calculates and stores activity information for each participant avatar before the new avatar enters. This includes pre-determining activity scores based on utterance, movement, and follower information. When the new avatar enters, the system simply retrieves this pre-computed data to quickly identify the core avatar and determine positioning, avoiding complex real-time calculations.
Solution Approach 2:
The virtual space around the core avatar is divided into multiple cells or zones. The system segments the positioning problem into: (1) identifying the core avatar, (2) determining which cell is most appropriate, and (3) positioning the new avatar in that cell. This segmentation simplifies the overall pose determination process.
2Productivity
If the system positions the new avatar close to existing participant avatars, then interaction opportunities increase, but the new avatar may be positioned too close causing overcrowding or discomfort
Solution Approach 1:
The system applies different positioning strategies based on local conditions. It identifies the core avatar through activity scoring and positions the new avatar at an optimal distance and orientation relative to the core avatar, rather than using a uniform positioning rule for all participants. This ensures the new avatar is close enough for interaction but not so close as to cause overcrowding.
3Ease of operation
If the system uses simple positioning rules for new avatars, then the positioning process is fast and simple, but the new avatar may not be optimally positioned for interaction
Solution Approach 1:
The system uses activity information (utterance, movement, follower data) as feedback to dynamically determine the core avatar and adjust positioning accordingly. This feedback mechanism ensures the new avatar is positioned relative to the most socially active participant, optimizing interaction opportunities while maintaining simple positioning logic based on the identified core avatar's location and orientation.
Data Source
AI summary
There is provided a method for determining a pose of a new avatar entering into a virtual space on a metaverse platform, the method comprises collecting activity information of at least one participant avatar entering into the virtual space, determining a core avatar among the at least one participant avatar based on the activity information of the at least one participant avatar, and determining a pose of the new avatar based on a location of the core avatar.


