Personalized XR Gesture Libraries for Consistent Group Communication
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Solution Overview
Problem
Existing extended reality (XR) technologies lack the ability to create personalized gesture-based languages for user groups, leading to inconsistent and ununderstood gestures, especially in environments where universal gestures are not sufficient, affecting communication among users with speech impairments or language barriers.
Innovation Solution
A system and method for creating a personalized gesture-based language library within XR environments, where a processing system monitors user interactions, corrects errors, and adds new gestures to ensure consistency and inclusivity, using machine learning techniques to evolve the language library dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If universal gestures are used in XR environments, then communication is simplified and easier to understand, but communication effectiveness deteriorates when universal gestures are not sufficient or when speech impairments/language barriers exist
Solution Approach 1:
The patent creates customized gesture libraries tailored to specific user groups rather than using universal gestures for all users. Each user group receives gestures adapted to their specific needs, whether they have speech impairments, language barriers, or other communication requirements. This local customization resolves the contradiction by making communication both easy (through personalized gestures) and effective (through targeted adaptation to specific needs).
Solution Approach 2:
The system dynamically adapts gesture libraries based on user feedback and communication effectiveness. The patent monitors whether gestures are being understood and continuously refines the gesture sets for each user group. This dynamic adaptation allows the system to maintain ease of operation while improving communication effectiveness over time through iterative optimization.
2Reliability
If gesture-based communication is customized for specific user groups, then communication effectiveness improves, but system complexity increases due to multiple gesture libraries
Solution Approach 1:
The patent segments the gesture system into multiple customized libraries, each tailored to specific user groups with particular communication needs. Rather than creating one complex universal system, the gesture space is divided into specialized subsets that are simpler and more effective for each target group. This segmentation reduces the complexity each user encounters while maintaining high communication effectiveness.
Solution Approach 2:
The system employs a universal platform architecture that can host multiple specialized gesture libraries. This multi-functional framework allows a single XR system to serve diverse user groups with different communication requirements without requiring separate systems for each group. The universal platform manages the complexity internally while presenting simplified, specialized interfaces to each user group.
3Adaptability or versatility
If gesture libraries are continuously updated with new gestures, then adaptability and inclusivity improve, but monitoring and maintenance complexity increases
Solution Approach 1:
The patent implements continuous monitoring of gesture usage and communication effectiveness within user groups. This feedback mechanism detects when new gestures emerge organically or when existing gestures need refinement. The system uses this feedback to automatically or semi-automatically update gesture libraries, reducing manual monitoring complexity while maintaining high adaptability and inclusivity.
Solution Approach 2:
The system enables user groups to contribute to their own gesture library development through monitored interactions. By observing communication patterns and effectiveness, the system allows user groups to self-optimize their gesture sets with minimal external intervention. This self-service approach reduces maintenance complexity while continuously improving adaptability to user needs.
Data Source
AI summary
In one example, a method includes creating a user group in an extended reality application, creating a language library for the user group, where the language library includes a plurality of gestures and a plurality of corresponding meanings, launching a session of the extended reality application for the user group, presenting the language library in the session of the extended reality application, monitoring communications among the user group during the session of the extended reality application, presenting, when an error is detected during the monitoring, a correction to a member of the user group who made the error, where the correction shows the member how to correct the error in a manner that is consistent with the language library, and adding, when a new gesture is detected during the monitoring, the new gesture and a corresponding meaning for the new gesture to the language library.