Unraveling metro train driver's work: challenges in automation concept

Hannu Karvonen, Iina Aaltonen, Mikael Wahlström, Leena Salo, P. Savioja, L. Norros
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引用次数: 6

Abstract

Motivation -- We focused on the question: "What is the significance of the train driver in the metro system?" We were especially interested in challenges related to an automation concept of a driverless metro. Research approach -- Metro train drivers' work and the metro system as a whole was examined in interview and field observation studies based on the core-task analysis method. Afterward, a mirror data workshop was organised. Findings/Design -- We describe the diversity of metro train driver's work: in addition to accelerating or braking and door opening or closing, the driver contributes to a variety of other functions in the metro system. For example, the driver maintains an awareness of the surrounding environment and facilitates communication between different actors of the system. Research limitations/Implications -- The participants for both the interview (N=12) and field observation study (N=4) were chosen in advance by the metro organisation. The small sample in the observation study might have also affected the results. Originality/Value -- Our paper analyses the role of the driver in the metro system. The results suggest that a change to a driverless system can affect the quality of service and raise safety issues. The results can be applied to automation implementations also in other domains. Take away message -- There is more to driving a metro train than meets the eye.
解开地铁司机的工作:自动化概念的挑战
动机——我们关注的问题是:“在地铁系统中,火车司机的重要性是什么?”我们对与无人驾驶地铁的自动化概念相关的挑战特别感兴趣。研究方法——基于核心任务分析法,通过访谈和现场观察研究,对地铁列车驾驶员的工作和地铁系统整体进行考察。随后,组织了镜像数据研讨会。研究结果/设计——我们描述了地铁列车驾驶员工作的多样性:除了加速或刹车、开门或关门之外,驾驶员还在地铁系统中承担着各种其他功能。例如,驾驶员保持对周围环境的感知,并促进系统中不同参与者之间的通信。研究局限性/影响-访谈(N=12)和实地观察研究(N=4)的参与者都是由地铁组织提前选择的。观察研究中的小样本可能也影响了结果。创意/价值——本文分析了司机在地铁系统中的作用。研究结果表明,改变无人驾驶系统可能会影响服务质量,并引发安全问题。结果也可以应用于其他领域的自动化实现。要点:驾驶地铁比你看到的要复杂得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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