书评:司机对自动驾驶汽车的反应:设计和评估的实用指南

Atefeh Katrahmani
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The time duration from a control transfer request by the automated system until the driver fulfills it, that is, the control handover time, the factors affecting this time, the driver reactions to the request, and the methods to improve the communication between driver and the vehicle to decrease the control transfer time are the subject of this book by Eriksson and Stanton. After a complete review of the history of automated vehicles, this book mostly presents the details and results of recent studies by the authors examining the control handover time from automated vehicles to driver and discusses the important human factors affecting that time. The experiments were carried out both in driving simulators and on open roads. The authors compare the results with those from previous studies by others. For the first time, these studies present results on transition time from manual to automated driving modes. In describing the results from several experiments, the authors identify the effective human factors in the control handover time and suggest applicable methods to reduce this time in automated vehicles. Examples of these factors are the human-machine interface, the driver being with/without a secondary task preceding the control transition, takeover request lead time, and previous experience of driver with automated vehicles. Their research also justifies the use of driving simulators as a safe and controllable method to evaluate driver reactions to automated vehicles, which agrees with previous results. After discussing the human–automation interaction and its challenges, the authors introduce a new approach by extending the linguistic principles of human-human communication to the domain of human-automation interaction and treating the automated driving system as a codriver whose task is to provide the necessary and sufficient information about the system state for the driver. However, automated vehicles are a new phenomenon with few incidents. Therefore, when looking for examples to clarify their point, the authors do not hesitate to use two famous incidents from the world of aviation, namely the Air France Flight 447 incident in May 2009 and the Comair Flight 3272 case that happened in January 1997. The examples are discussed minutely and clearly demonstrate the subject to the reader. The topic of the book is narrow and specialized. For the experts in the specific field of automated vehicles it is a rich source of up-to-date information about the roles of different human factors in the control handover time between driver and automated vehicles. The authors also share their valuable experience about conducting experiments with human subjects. It is a good source for beginners, those who want to learn how to plan and conduct similar experiments and gain insight as to what to expect from them. Regarding the crucial importance of the subject of the book, it also is a must read for scientists and engineers working on the design and manufacturing of automated vehicles. The authors’ research on the control handover time between driver and automated vehicle shows that this time is longer than reported by most of the researchers. However, the authors do not mention clearly what are the reasons behind those discrepancies. Also, I think most of the readers prefer to see the same system of units being used throughout a book which makes the comparison of the results more convenient. However, in the plots and tables presented, both the international (SI) and U.S. customary systems of units are used to measure distance and speed. 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引用次数: 0

摘要

自动驾驶汽车不再属于科幻小说的范畴。随着自动驾驶汽车成为现实,驾驶员/操作员与车辆之间的适当沟通至关重要。至少在目前,很可能在不久的将来,自动驾驶汽车无法应对所有的道路和交通状况。因此,驾驶员必须保持对自动驾驶系统的关注,因为他们可能会被要求意外地控制车辆。另一方面,当道路条件适合自动驾驶时,可能会要求驾驶员将控制权交还给自动系统。从自动系统发出控制转移请求到驾驶员完成控制转移请求的时间间隔,即控制移交时间,影响这一时间的因素,驾驶员对请求的反应,以及改善驾驶员与车辆之间的通信以减少控制转移时间的方法是埃里克森和斯坦顿的这本书的主题。在全面回顾了自动驾驶汽车的历史之后,这本书主要介绍了作者最近研究的细节和结果,研究了从自动驾驶汽车到驾驶员的控制移交时间,并讨论了影响该时间的重要人为因素。实验在驾驶模拟器和开放道路上进行。作者将这些结果与其他人之前的研究结果进行了比较。这些研究首次提出了从手动驾驶模式到自动驾驶模式转换时间的结果。在描述几个实验的结果时,作者确定了控制切换时间的有效人为因素,并提出了减少自动驾驶车辆控制切换时间的适用方法。这些因素的例子包括人机界面、驾驶员在控制转换之前是否有辅助任务、接管请求的前置时间以及驾驶员以前驾驶自动驾驶车辆的经验。他们的研究还证明,驾驶模拟器是一种安全可控的方法,可以评估驾驶员对自动驾驶汽车的反应,这与之前的研究结果一致。在讨论了人机交互及其面临的挑战之后,作者介绍了一种新的方法,将人机交流的语言原理扩展到人机交互领域,并将自动驾驶系统视为一个辅助驾驶员,其任务是为驾驶员提供有关系统状态的必要和充分的信息。然而,自动驾驶汽车是一种新现象,很少发生事故。因此,当寻找例子来阐明他们的观点时,作者毫不犹豫地使用了航空界的两个著名事件,即2009年5月的法航447航班事件和1997年1月发生的Comair 3272航班事件。这些例子都进行了详细的讨论,并清楚地向读者展示了这个主题。这本书的主题狭窄而专业。对于自动驾驶汽车特定领域的专家来说,它是一个丰富的最新信息来源,可以了解不同人为因素在驾驶员和自动驾驶汽车之间的控制切换时间中的作用。作者还分享了他们进行人体实验的宝贵经验。对于初学者来说,这是一个很好的来源,那些想要学习如何计划和进行类似的实验,并获得洞察力,从他们的期望。考虑到本书主题的重要性,它也是从事自动驾驶汽车设计和制造的科学家和工程师的必读之作。通过对驾驶员与自动驾驶车辆之间控制切换时间的研究,发现驾驶员与自动驾驶车辆之间的控制切换时间比大多数研究者所报道的要长。然而,作者并没有明确提到这些差异背后的原因。此外,我认为大多数读者更喜欢看到在一本书中使用相同的单位制,这样可以更方便地比较结果。然而,在图示和表格中,国际单位制和美国习惯单位制都被用来测量距离和速度。即使有这些小缺点,这本书也清楚地表明了不同人为因素在未来自动化运输中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Book Review: Driver Reactions to Automated Vehicles: A Practical Guide for Design and Evaluation
Automated vehicles do not belong to the realm of science fiction anymore. With automated vehicles now being a reality, an appropriate communication between driver/operator and the vehicle is of vital importance. At least at present, and most probably, in the near future, automated vehicles cannot cope with all the road and traffic conditions. Therefore, the driver must remain attentive to the automated driving system as they may be called upon to take control of the vehicle unexpectedly. On the other hand, when the road conditions are proper for automated driving, the driver may be asked to transfer the control back to the automated system. The time duration from a control transfer request by the automated system until the driver fulfills it, that is, the control handover time, the factors affecting this time, the driver reactions to the request, and the methods to improve the communication between driver and the vehicle to decrease the control transfer time are the subject of this book by Eriksson and Stanton. After a complete review of the history of automated vehicles, this book mostly presents the details and results of recent studies by the authors examining the control handover time from automated vehicles to driver and discusses the important human factors affecting that time. The experiments were carried out both in driving simulators and on open roads. The authors compare the results with those from previous studies by others. For the first time, these studies present results on transition time from manual to automated driving modes. In describing the results from several experiments, the authors identify the effective human factors in the control handover time and suggest applicable methods to reduce this time in automated vehicles. Examples of these factors are the human-machine interface, the driver being with/without a secondary task preceding the control transition, takeover request lead time, and previous experience of driver with automated vehicles. Their research also justifies the use of driving simulators as a safe and controllable method to evaluate driver reactions to automated vehicles, which agrees with previous results. After discussing the human–automation interaction and its challenges, the authors introduce a new approach by extending the linguistic principles of human-human communication to the domain of human-automation interaction and treating the automated driving system as a codriver whose task is to provide the necessary and sufficient information about the system state for the driver. However, automated vehicles are a new phenomenon with few incidents. Therefore, when looking for examples to clarify their point, the authors do not hesitate to use two famous incidents from the world of aviation, namely the Air France Flight 447 incident in May 2009 and the Comair Flight 3272 case that happened in January 1997. The examples are discussed minutely and clearly demonstrate the subject to the reader. The topic of the book is narrow and specialized. For the experts in the specific field of automated vehicles it is a rich source of up-to-date information about the roles of different human factors in the control handover time between driver and automated vehicles. The authors also share their valuable experience about conducting experiments with human subjects. It is a good source for beginners, those who want to learn how to plan and conduct similar experiments and gain insight as to what to expect from them. Regarding the crucial importance of the subject of the book, it also is a must read for scientists and engineers working on the design and manufacturing of automated vehicles. The authors’ research on the control handover time between driver and automated vehicle shows that this time is longer than reported by most of the researchers. However, the authors do not mention clearly what are the reasons behind those discrepancies. Also, I think most of the readers prefer to see the same system of units being used throughout a book which makes the comparison of the results more convenient. However, in the plots and tables presented, both the international (SI) and U.S. customary systems of units are used to measure distance and speed. Even with these minor shortcomings, this book clearly shows the importance of different human factors in future automated transportation.
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