Human factors evaluation in VR-based shunting training

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)3063-3076
Number of pages14
JournalVisual Computer
Issue number12
Publication statusPublished - 10 Aug 2021
Externally publishedYes


  • Human factors
  • Non-technical skills
  • Shunting
  • Training
  • Virtual Reality

ASJC Scopus subject areas

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


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