On accident causation models, safety training and virtual reality

Int J Occup Saf Ergon. 2022 Mar;28(1):28-44. doi: 10.1080/10803548.2020.1766290. Epub 2020 Jul 2.

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.

Keywords: accident causation; hazard identification; safety training; virtual prototype; virtual reality.

Publication types

  • Review

MeSH terms

  • Accidents
  • Computer Simulation
  • Humans
  • Virtual Reality*