Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

CBRRES: a computer-based REBA and RULA evaluation system for musculoskeletal disorder estimation.

International journal of occupational safety and ergonomics : JOSE·2026
Same author

Enhancing the safety performance of EOT crane operations by integrating VR training and granular safety function deployment.

International journal of injury control and safety promotion·2026
Same author

HAZOP for safety culture: a novel safety culture index.

International journal of injury control and safety promotion·2025
See all related articles

Related Experiment Video

Updated: Jul 20, 2026

Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

13.1K

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.

International Journal of Occupational Safety and Ergonomics : JOSE
|May 7, 2020
PubMed
Summary

This study introduces a virtual reality-based accident causation model (VR-ACM) to improve real-time hazard identification and safety training. The VR-ACM enhances accident analysis and decision-making for crane operators.

Keywords:
accident causationhazard identificationsafety trainingvirtual prototypevirtual reality

More Related Videos

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

5.2K
Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

1.4K

Related Experiment Videos

Last Updated: Jul 20, 2026

Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

13.1K
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

5.2K
Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

1.4K

Area of Science:

  • Occupational Safety and Health
  • Human-Computer Interaction
  • Virtual Reality Applications

Background:

  • Traditional accident causation models (ACMs) lack real-time visualization and user interaction capabilities.
  • Existing safety training practices often do not adequately address dynamic hazard identification and prevention.
  • Inefficiencies in current models hinder effective accident analysis and real-time decision-making.

Purpose of the Study:

  • To develop a dynamic, virtual reality-based accident causation model (VR-ACM).
  • To address the limitations of traditional ACMs in real-time hazard identification and interactive safety training.
  • To propose a novel VR-ACM for enhanced accident analysis and operator training.

Main Methods:

  • Conducted a comprehensive literature review of existing ACMs and safety training practices.
  • Identified limitations in current models and training methodologies.
  • Proposed a VR-ACM framework with three integrated modules: VR modelling/simulation, accident causation, and safety training.

Main Results:

  • An experimental study with 22 crane operators demonstrated the applicability of the proposed VR-ACM.
  • The VR-ACM facilitates three-dimensional visual analysis of potential accident causes.
  • The model enables real-time user interaction, judgment, and decision-making.

Conclusions:

  • The proposed VR-ACM effectively overcomes the limitations of traditional models.
  • VR-ACM offers a dynamic platform for analyzing accident causation and improving safety training.
  • The model supports real-time hazard identification, accident prevention, and interactive learning environments.