Human factors evaluation in VR-based shunting training

Shunting of trains is a task that requires meticulous adherence to all steps to guarantee safety for everyone involved during and after the procedure. These steps are currently taught using classical teaching materials, such as printouts, videos and training by experienced supervisors. However, due...

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Bibliographic Details
Published in:The Visual computer 2021-12, Vol.37 (12), p.3063-3076
Main Authors: Tschoerner, Benedikt, Li, Fan, Lan, Zirui, Liu, Yisi, Lim, Wei Lun, Cui, Jian, Wong, Yu Lian, Kho, Kevin, Lee, Vincent, Sourina, Olga, Mueller-Wittig, Wolfgang
Format: Article
Language:English
Subjects:
Artificial Intelligence
Augmented reality
Collaboration
Collaborative virtual environments
Communication
Computer Graphics
Computer Science
Decision making
Design
Engineering
Fatigue
Feedback
Human error
Human factors
Image Processing and Computer Vision
Original Article
Positive feedback
Simulation
Skills
Stress
Supervisors
Systems design
Training
Trains
User experience
Virtual reality
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Summary:Shunting of trains is a task that requires meticulous adherence to all steps to guarantee safety for everyone involved during and after the procedure. These steps are currently taught using classical teaching materials, such as printouts, videos and training by experienced supervisors. However, due to limited availability of locomotives, hours for training and manpower, training of shunting operation becomes challenging in real life. In this paper, we implemented a lifelike, collaborative virtual environment for shunting training including a novel human factors evaluation system for fatigue and stress monitoring. An experiment with 12 subjects and 3 trainers has been designed and carried out to validate the usage of VR-based shunting training. Positive feedback toward the VR-based training was obtained from the subjects and trainers.
ISSN:0178-2789
1432-2315
DOI:10.1007/s00371-021-02251-x