Evaluating Instruction Delivery Methods Industrial VR Training Dataset and scripts

This dataset and accompanying Python scripts support the research project titled “Evaluating Instruction Delivery Methods in Industrial VR Training”. The data was collected as part of the research activity aiming to identify the best instruction delivery practives for industrial VR trainings and includes participant-level results from VR training experiments comparing different instruction delivery modalities, pacing strategies, and feedback types. Key measurements include task duration, gaze dwell time, error rates, comprehension scores, and various subjective usability and presence ratings.

The Python scripts provided include data normalization using global min-max scaling and robust non-parametric aligned rank transform (ART) ANOVA analysis for statistical evaluation of instructional methods. This openly shared databank facilitates transparency, reproducibility, and further research in VR training effectiveness.