Building XR Digital Twins for Selection, Training, and Performance Monitoring

XR is often used for training, but I use it to understand how people perform under pressure. In this talk, I present a practical XR digital twin approach that I use for selection, training, and continuous performance monitoring. Through VR scenarios, I observe physical and cognitive performance, decision-making, and stress response in a controlled and repeatable way, supported by physiological and behavioral data. The system combines VR-based assessment with EEG, EMG, and HRV measurements, along with in-headset telemetry and biometric data. These signals make it possible to go beyond subjective evaluation and build functional performance personas based on how individuals actually react, adapt, and recover under load. The approach is based on real-world use and a 548-participant study, linking VR assessment directly to physical and cognitive development. I also show how trainers can quickly build and adapt VR scenarios using simple content tools, without technical complexity. The focus is practical: what works in everyday use, what scales, and how XR digital twins can move beyond experimentation into reliable performance systems.