Eye Tracking Team Awareness Metrics for Remote Collaboration
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Solution Overview
Problem
Assessing shared situation awareness in remote human teams is challenging due to the lack of social cues and limited visibility of team members' actions during collaboration or training, even with video conferencing.
Innovation Solution
A team monitoring system that determines user situational awareness and surprise based on arm/hand positions, gaze, and pupil dynamics, weighting individual contributions according to task priority, and calculates a team metric even when members have not previously worked together.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video conferencing is used to enable remote team collaboration, then communication capability is improved, but situation awareness assessment capability deteriorates due to inability to observe team members' actions and instrument panel interactions
Solution Approach 1:
The patent introduces eye tracking technology as an intermediary that captures gaze data from team members' eyes. This intermediary device indirectly measures situation awareness by tracking where team members look at instrument panels and displays, converting unobservable cognitive states into measurable data without requiring direct observation of team members' actions
Solution Approach 2:
The patent replaces the mechanical observation system (direct visual monitoring of team members' actions and instrument interactions) with an optical-based eye tracking system. This substitution uses eye movement data and pupil dynamics to infer situation awareness, eliminating the need for direct mechanical observation while maintaining or improving measurement accuracy
2Measurement precision
If individual user situational awareness is measured separately, then measurement precision is improved, but team-level assessment capability deteriorates due to lack of integration mechanism
Solution Approach 1:
The patent merges multiple individual eye tracking data streams into a unified team-level situational awareness metric. By combining gaze data, pupil dynamics, and head position information from all team members and correlating them with task requirements, the system creates an integrated team assessment that maintains individual measurement precision while achieving collective evaluation
Solution Approach 2:
The patent creates a multi-functional system that simultaneously performs individual situational awareness assessment and team-level evaluation. The same eye tracking infrastructure and data processing algorithms serve both individual and collective measurement needs, eliminating the need for separate systems and reducing overall complexity
Data Source
AI summary
A team monitoring system receives data for determining user situational awareness and/or surprise for each team member. A team metric of situational awareness and/or surprise is determined for the entire team based on individual user situational awareness and/or surprise correlated to discreet portions of a task. User situational awareness and/or surprise may be determined based on arm/hand positions, gaze, and pupil dynamics with respect to a baseline measurement. Individual user situational awareness and/or surprise is weighted according to a task priority for that individual user at the time. The system determines a team composition based on individual user situational awareness and/or surprise during a task and team situational awareness and/or surprise during the task; even where the users have not engaged as a team during the task.