xHits: An Automatic Team Performance Metric for VR Police Training: 2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering

VR training offers scenario-based sessions with analyzable replays, but performance assessment often relies on trainers’ subjective judgment. To increase objectivity, we identified key performance indicators (KPIs) through trainer interviews for VR police training and examined their feasibility for automatic VR tracking during a user study. The amount of rooms cleared before the first shot, the teams movement and the stress reaction after the first shot significantly predicted the teams success, operationalized as the number of team members shot in the scenario, which resulted in the "xHits" team performance metric. This paper details the methodology of creating such indicators, the xHits model, and its evaluation, demonstrating the potential of metrology for objective team performance measurements.