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Updated: Jul 20, 2026

Virtual Reality Experiments with Physiological Measures
Published on: August 29, 2018
On accident causation models, safety training and virtual reality
Krantiraditya Dhalmahapatra1, Souvik Das1, J Maiti1
1Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, India.
Abstract:
Inefficiency in real-time visualization and user interaction in traditional accident causation models (ACMs) necessitates the development of a dynamic ACM that can foster real-time hazard identification, accident prevention and interactive safety training. A virtual reality-based accident causation model (VR-ACM) may serve such a purpose. In this study, we performed a comprehensive literature review on different ACMs and safety training practices. The limitations of the existing models and practices are identified. A VR-ACM model is proposed comprising three modules: VR-based modelling and simulation, accident causation and safety training. Several research issues for VR-ACM are highlighted. An experimental study with 22 crane operators is presented, showing the applicability of the proposed model. The proposed VR-ACM serves as a medium for analysis of potential underlying causes of accidents, the three-dimensional perspective of visual analysis, real-time user interactions and real-time judgement and decision-making.

