Interactive Session Recommendation Using Social Inclusivity Scores

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Solution Overview

Problem

Existing video conferencing and XR platforms fail to provide adequate insights into which sessions a user is likely to be welcomed by other participants, leading to missed opportunities for forming new relationships and potential time wastage in sessions where the user is ignored or not engaged.

Innovation Solution

Systems and methods that generate social inclusivity scores for interactive sessions by monitoring user behavior and historical patterns, recommending sessions with higher inclusivity based on these scores, using digital representations like avatars to gather interaction data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If users join virtual meetings without social inclusivity information, then they have access to more session options, but they waste time in sessions where they are not welcomed or engaged

Engineering Contradiction:

Improvetime wastage in unwelcoming sessionsVSAvoidlack of social inclusivity information

Core Design Contradiction:

Loss of timeVSLoss of information

Solution Approach 1:

The system performs preliminary analysis of attendee behavior patterns and generates social inclusivity scores before the user joins the session. Historical data from previous interactions is processed in advance to predict welcoming behavior, allowing users to make informed decisions about which sessions to join without wasting time in unwelcoming environments.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements a feedback mechanism where user interactions in virtual sessions are continuously monitored and analyzed. This feedback loop generates real-time social inclusivity scores that are updated based on attendee behavior patterns, enabling dynamic recommendations that reflect current session atmosphere rather than static pre-session information.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If the system monitors user behavior to generate social inclusivity scores, then recommendation accuracy improves, but system complexity increases

Engineering Contradiction:

Improvesocial inclusivity score accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system introduces digital representations (avatars) as intermediaries between users and the monitoring system. These avatars automatically capture interaction data such as eye contact, gestures, and engagement patterns, eliminating the need for complex direct monitoring of user behavior while still enabling accurate social inclusivity scoring through automated avatar-based data collection.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system creates simplified copies of user interactions through digital representations that mimic human behavior patterns. By analyzing avatar interactions rather than raw user data, the system reduces computational complexity while maintaining measurement precision, as the avatars process and report social signals in a standardized, easily analyzable format.

Inventive Principle:

Principle #26Copying

3Ease of operation

If the system provides social inclusivity information, then users can form better relationships, but users may miss opportunities to expand comfort zones by joining challenging sessions

Engineering Contradiction:

Improveease of forming relationshipsVSAvoiduser adaptability to new environments

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system provides partial social inclusivity information rather than complete determinism. By offering guidance without making decisions for users, the system enables easier relationship formation for conservative users while still allowing adventurous users to override recommendations and join challenging sessions, thus balancing ease of operation with adaptability development.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12580988B2Systems and methods for recommending interactive sessions based on social inclusivity

Publication Date: 2026.03.17 ADEIA GUIDES INC

AI summary

Systems and methods are described for identifying a plurality of candidate interactive sessions for a user with a user profile to join, each candidate interactive session being associated with a plurality of user profiles. A digital representation of the user may be generated, and the digital representation of the user may be caused to join each of the plurality of candidate interactive sessions. The systems and methods may monitor, in each candidate interactive session, behavior of digital representations of each of the plurality of user profiles associated with the candidate interactive session in relation to the digital representation of the user. The systems and methods may generate, based on the monitoring, a social inclusivity score for each of the plurality of candidate interactive sessions. A recommended interactive session may be selected and provided based on the corresponding social inclusivity score for each candidate interactive session.