Xu, J., Tang, Z., Zhao, H. and Zhang, J. J., 2019. Hand gesture-based virtual reality training simulator for collaboration rescue of a railway accident. Interacting with Computers, 31 (6), 577-588.
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DOI: 10.1093/iwc/iwz037
Abstract
Training simulator is an efficient and innovative tool to help users learn professional skills due to its convenience and safety. However, complex human-computer interaction is one of the main disadvantages that limits its effectiveness in safety training, especially for the rescue of a railway accident which requires collaborations. Through designing a set of task-specific hand gestures, we developed a training simulator for the recovery of a railway accident which helps the rescuers learn and practise rescue skills in a life-like environment and gain the firsthand experience. To test the validity of our training simulator, a user experiment is designed to compare it with the controller-based simulator in a between-groups study with 51 participants, focusing on different aspects of effectiveness. The results demonstrate that the hand gesture-based controller can be more efficient and usable to deal with complex interactions than the traditional hand-held controller.
Item Type: | Article |
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ISSN: | 0953-5438 |
Uncontrolled Keywords: | training simulator; accident rescue; collaboration rescue; hand gesture-based control; virtual reality |
Group: | Faculty of Media & Communication |
ID Code: | 32906 |
Deposited By: | Symplectic RT2 |
Deposited On: | 14 Oct 2019 09:29 |
Last Modified: | 14 Mar 2022 14:18 |
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