On accident causation models, safety training and virtual reality.

accident causation hazard identification safety training virtual prototype virtual reality

Journal

International journal of occupational safety and ergonomics : JOSE
ISSN: 2376-9130
Titre abrégé: Int J Occup Saf Ergon
Pays: England
ID NLM: 9507598

Informations de publication

Date de publication:
Mar 2022
Historique:
pubmed: 7 5 2020
medline: 18 3 2022
entrez: 7 5 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32374205
doi: 10.1080/10803548.2020.1766290
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

28-44

Auteurs

Krantiraditya Dhalmahapatra (K)

Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, India.

Souvik Das (S)

Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, India.

J Maiti (J)

Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, India.

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Classifications MeSH