VR Training Credentialing via Gaze and Movement Analysis
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Solution Overview
Problem
Current VR training systems fail to effectively utilize accumulated gaze and movement information from users, limiting the ability to assess and credential training performance efficiently.
Innovation Solution
A VR training performance management device that provides VR training content, acquires implementation information including gaze and operation data, generates credential information based on this data, and stores it for output, allowing for the issuance of credentials that reflect user proficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If VR training systems accumulate gaze and movement information, then the quantity of training data increases, but the effective utilization of this information remains insufficient
Solution Approach 1:
The system implements feedback by analyzing accumulated gaze and movement information to generate performance assessments and credentials. The analysis unit processes the accumulated data and provides feedback in the form of performance evaluations, skill level determinations, and credential issuance, transforming raw data into actionable performance insights.
Solution Approach 2:
The patent introduces an analysis unit as an intermediary between the accumulated training data and the performance assessment outcome. This intermediary component processes the raw gaze and movement information, extracting meaningful performance metrics and translating them into credential decisions, thereby effectively bridging the gap between data accumulation and information utilization.
2Device complexity
If traditional training assessment methods are used, then the process is simple, but the ability to effectively evaluate VR training performance is limited
Solution Approach 1:
The patent replaces traditional mechanical/manual assessment methods with an automated analysis system. The analysis unit automatically processes VR training data, applying algorithms to evaluate performance based on gaze patterns, movement precision, and task completion metrics, thereby substituting subjective manual evaluation with objective automated measurement.
Solution Approach 2:
The system evaluates training performance by analyzing multiple parameters simultaneously including gaze position, gaze duration, movement accuracy, and task completion time. By incorporating these diverse parameters into the assessment, the system achieves comprehensive and precise evaluation of VR training performance, moving beyond single-metric assessment.
3Reliability
If comprehensive VR training data is collected, then the assessment capability improves, but the complexity of data processing increases
Solution Approach 1:
The patent segments the data processing function into distinct components: the information accumulation unit collects data, the analysis unit processes it, and the credential issuance unit delivers results. This segmentation allows each component to specialize in specific tasks, managing processing complexity through functional decomposition while maintaining comprehensive assessment capability.
Data Source
AI summary
In a VR training performance management device, a providing means provides a VR training content, and an acquisition means acquires VR training implementation information generated by performing VR training using the VR training content by a user. A generation means generates credential information based on the VR training implementation information. A storing means stores identification information of the user and the credential information in association with each other. An output means outputs the credential information. The VR training implementation information includes at least a number of times that the VR training is performed by the user, gaze information of the user, and operation information of the user.