Aggregate Avatar Clustering for Group Psychological State Display
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Solution Overview
Problem
Existing methods for conveying psychological states in video conferences and similar settings often overwhelm viewers with individual notifications, straining display resources and causing distraction or annoyance.
Innovation Solution
The method involves clustering individuals with similar psychological states and generating aggregate avatars that represent the collective emotional or cognitive state of the group, reducing the need for individual notifications and conserving display space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If individual psychological state notifications are displayed for each participant, then complete information about individual states is conveyed, but display resources are strained and viewers become distracted or annoyed
Solution Approach 1:
The patent merges multiple individual psychological state notifications into a single aggregate notification that represents the collective state of multiple participants. Instead of displaying separate notifications for each participant's emotional or cognitive state, the system combines these into one unified notification that conveys the overall group state, thereby reducing display clutter and viewer distraction while preserving essential information.
Solution Approach 2:
The patent segments the display information by grouping participants into clusters based on their psychological states. Rather than treating each participant individually, the system segments them into meaningful groups (e.g., by emotional state categories or engagement levels) and displays one notification per segment, reducing the total number of notifications while maintaining information about diverse participant states.
2Loss of information
If individual psychological state notifications are displayed for each participant, then complete information about individual states is conveyed, but display space is overwhelmed
Solution Approach 1:
The patent merges multiple individual psychological state notifications into a single aggregate notification that represents the collective state of multiple participants. Instead of displaying separate notifications for each participant's emotional or cognitive state, the system combines these into one unified notification that conveys the overall group state, thereby reducing display clutter and viewer distraction while preserving essential information.
Solution Approach 2:
The patent segments the display information by grouping participants into clusters based on their psychological states. Rather than treating each participant individually, the system segments them into meaningful groups (e.g., by emotional state categories or engagement levels) and displays one notification per segment, reducing the total number of notifications while maintaining information about diverse participant states.
3Object-affected harmful factors
If aggregate psychological states are conveyed for groups of individuals, then display resources are conserved and viewer distraction is reduced, but individual psychological state information is lost
Solution Approach 1:
The patent segments the display information by grouping participants into clusters based on their psychological states. Rather than treating each participant individually, the system segments them into meaningful groups (e.g., by emotional state categories or engagement levels) and displays one notification per segment, reducing the total number of notifications while maintaining information about diverse participant states.
Solution Approach 2:
The patent applies local quality by providing different levels of information aggregation at different locations or contexts in the interface. Individual participant information may be available on-demand or in detailed views, while the primary display shows aggregate information. This allows the system to optimize for reduced distraction in the main view while preserving individual information accessibility when needed.
Data Source
AI summary
Examples are described herein for determining aggregate psychological states of multiple individuals. In various examples, sensor data indicative of affects of multiple individuals may be analyzed. Based on the analyzing, the multiple individuals may be partitioned into multiple distinct clusters of individuals. An aggregate psychological state of the individuals of a given cluster of the multiple distinct clusters of individuals may be determined. Data indicative of the aggregate psychological state may be transmitted to cause a computing device to render output that conveys the aggregate psychological state of the individuals of the cluster.


