Trainer

Trainer Tagging in InsightXR

A critical feature of InsightXR is the ability to tag and classify specific training sessions for comparative analysis. This is particularly useful for establishing benchmarks or standards within the training program. A prime example of this is the 'Trainer Tagging' functionality, which allows users to label a particular session as the 'Trainer' session. This session then serves as a reference or model against which other trainee performances are compared and evaluated.

Recording a Trainer Demo for Benchmarking

1. Initiating the Trainer Session: The process begins with recording a session led by a trainer or an expert. This session is designed to demonstrate the ideal way to navigate the training scenario, interact with objects, and complete tasks.

2. Capturing Comprehensive Data: During this demo, InsightXR captures all relevant data, including movement patterns, object interactions, gaze tracking, and decision-making processes. This comprehensive data collection ensures that the benchmark encompasses all aspects of the desired performance.

Displaying and Tagging the Trainer Session

1. Reviewing the Session in the Dashboard: After the trainer's session is completed, the recorded data is displayed on the InsightXR dashboard. Users can review this data to ensure that it accurately represents the desired standards and outcomes for the training.

2. Tagging as 'Trainer': To tag this session, users simply click on the corresponding row in the dashboard. They then select the 'Classify' dropdown menu and choose 'Trainer' as the label. This action classifies the session as the benchmark against which other sessions will be compared.

Utilizing the Trainer Tag for Performance Metrics

1. Comparative Analysis: With the trainer session tagged, InsightXR can now compare new trainee sessions against this benchmark. Trainees' actions, decisions, and overall performance are evaluated in relation to the trainer’s session.

2. Scoring Against the Trainer Benchmark: Each trainee session is scored based on how closely it aligns with the trainer’s session. This scoring system provides a clear, quantifiable measure of trainee performance, offering an easy way to identify areas of strength and those needing improvement.

3. Actionable Insights: Beyond scoring, this comparative analysis yields actionable insights. Trainers can identify specific aspects where trainees diverge from the benchmark, offering targeted feedback and training adjustments.

4. Continuous Learning and Improvement: Over time, this process of tagging, comparing, and scoring facilitates a continuous learning environment. It allows for the ongoing refinement of both trainee skills and the training program itself.

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The Trainer Tagging feature in InsightXR is an invaluable tool for setting performance standards and providing structured, data-driven evaluations of trainee performance. By leveraging this feature, training programs can maintain high standards of excellence and ensure that all participants receive the feedback and guidance necessary to achieve their full potential in XR environments.