Human factors evaluation in VR-based shunting training

Author:

Tschoerner Benedikt,Li Fan,Lan ZiruiORCID,Liu Yisi,Lim Wei Lun,Cui Jian,Wong Yu Lian,Kho Kevin,Lee Vincent,Sourina Olga,Mueller-Wittig Wolfgang

Abstract

AbstractShunting 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.

Funder

National Research Foundation Singapore

Fraunhofer Singapore (public company limited by guarantee)

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

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