Promote Human System integration of high-speed trains using task analysis
Authors: 
Chenxi Zhao, Jingyu Zhang, Xiaoyu Li, Lei Shi, Han Zhang, Minjiong Yang, Hui ShanAuthors Info & Claims
Chenxi Zhao, Jingyu Zhang, Xiaoyu Li, Lei Shi, Han Zhang, Minjiong Yang, Hui ShanAuthors Info & ClaimsPages 206 - 212
Abstract
High-speed trains have become one of the most important modes of public transportation in contemporary times, and the development of intelligent train driving systems has promoted an increase of train operation speed and the significant improvement of train transportation efficiency. However, train driving is still a complex human-computer interaction process in which drivers need to perform multiple tasks simultaneously, and new technologies may not reduce the risk of human error if the designers do not fully consider the influence of human factors. To promote our understanding on how train drivers are interacting with the system, this study adopts the Hierarchical Task Analysis (HTA) method to systematically investigate the driving tasks of high-speed train drivers. In addition to providing a comprehensive diagram of driver tasks, this study also analyzed the difficulties and possible error patterns of each task by linking them with the design of the system. We also discussed and provided recommendations for future academic research and practices in personnel training, interface design, and safety management in order to improve the safety and efficiency of high-speed train driving systems.
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Published In
August 2024
465 pages
ISBN:9798400716997
DOI:10.1145/3695652
Copyright © 2024 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 15 October 2024
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- Research-article
- Research
- Refereed limited
Funding Sources
- The Natural Science Foundation of China
- The Science and Technology Research and Development Plan Project of China National Railway Group Co., Ltd
Conference
IMMS 2024
IMMS 2024: 2024 the 7th International Conference on Information Management and Management Science
August 23 - 25, 2024
Beijing, China
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