Networked VR Training Dashboard for Automated Skill Assessment
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Solution Overview
Problem
Existing VR training systems typically limit user interaction to predetermined routines, restrict each user's view to their own perspective, and lack effective tools for assessing trainee skills, making it difficult to evaluate performance accurately.
Innovation Solution
A networked VR training system that includes a management server managing graphical dashboards, software agents, and near-to-eye displays to track trainee interactions with 3D virtual objects, providing real-time skill assessment and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional VR training systems use predetermined step-by-step routines, then training structure is maintained, but user flexibility and skill assessment capability are limited
Solution Approach 1:
The system employs software agents that autonomously monitor trainee actions, collect performance data, and assess skill demonstration without requiring instructor intervention. The training system serves itself by automatically evaluating whether trainees have demonstrated required skills through their interactions with virtual objects, eliminating the need for manual oversight while maintaining structured training objectives
Solution Approach 2:
The training system transitions from static predetermined routines to dynamic adaptive training pathways. Software agents continuously monitor trainee performance and provide real-time feedback, allowing the training sequence to adapt based on individual trainee progress and skill demonstration, thereby increasing user flexibility while maintaining training structure
2Loss of information
If each user's view is limited to their own perspective in multi-user VR training, then individual immersion is maintained, but collaborative training and shared situational awareness are reduced
Solution Approach 1:
The system introduces a shared virtual environment that acts as an intermediary between individual trainees. Multiple users can simultaneously interact with the same virtual objects and scenarios, allowing each user to maintain their first-person immersive view while also being aware of and interacting with other trainees' actions and perspectives within the shared virtual space
Solution Approach 2:
The system adds a social collaboration dimension to the traditional single-user VR training experience. By enabling multiple users to occupy the same virtual environment simultaneously, the system transforms the training from isolated individual experiences to interconnected collaborative experiences, allowing trainees to work together on shared objectives while maintaining individual immersion
3Measurement precision
If instructors manually monitor trainee performance in real time, then accurate skill assessment is achieved, but training efficiency and scalability are reduced
Solution Approach 1:
The training system performs self-assessment through software agents that automatically monitor trainee actions, collect performance data, and evaluate skill demonstration. This eliminates the need for instructor intervention in the assessment process, allowing accurate skill measurement to be achieved automatically without sacrificing training efficiency or requiring manual oversight
Solution Approach 2:
The system implements continuous automated feedback loops where software agents monitor trainee performance in real-time, compare actions against training objectives, and provide immediate feedback on skill demonstration. This automated feedback mechanism maintains assessment accuracy while dramatically improving training efficiency and enabling scalable deployment across multiple trainees simultaneously
Data Source
AI summary
Disclosed herein are embodiments for managing a virtual reality (VR) training exercise via a management server. The management server outputs a graphical dashboard including one or more skill nodes, and selects one or more software agents associated with the skill nodes. The management server provides the software agents to at least one host computing system communicatively coupled to a near-to-eye display device. The near-to-eye display device is configured to display a virtual three dimensional (3D) training environment including a plurality of interactive 3D virtual objects. The software agents are configured to collect VR observables data while the trainee performs actions within the virtual 3D training environment. Based on the VR observables data collected, the management server determines that one or more skills have been demonstrated during the training exercise, and updates the one or more skill nodes to graphically indicate the one or more skills demonstrated by the trainee.