你永远不会忘记如何驾驶:自动驾驶汽车到来时的驾驶员技能和技能培训

Sandra Trösterer, Magdalena Gärtner, Alexander G. Mirnig, Alexander Meschtscherjakov, Rod McCall, N. Louveton, M. Tscheligi, T. Engel
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引用次数: 15

摘要

在自动驾驶的范围内,出现了一个问题,即越来越多地使用自动化系统是否会对驾驶员的长期驾驶技能产生影响。为了更深入地了解驾驶员技能问题及其与驾驶经验和非驾驶时间间隔的关系,我们对三组驾驶员进行了在线调查(n=703)。我们发现,在长时间不驾驶后,初始技能比技能培训更成问题,也就是说,虽然一旦学会了驾驶技能,在较长时间不驾驶后似乎仍能保持稳定,但在年行驶里程和使用频率方面,它们更受驾驶经验的影响。应用于自动驾驶环境,这意味着驾驶员必须接受足够高的技能水平的培训,或者需要足够的手动驾驶经验,以便能够在自动驾驶时做出正确的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
You Never Forget How to Drive: Driver Skilling and Deskilling in the Advent of Autonomous Vehicles
In the scope of autonomous driving, the question arises if the increased use of automated systems will have an impact on driver's skills in handling the car in the long term. In order to gain more insights on the issue of driver deskilling and how it relates to driving experience and time intervals of non-driving, we conducted an online survey (n=703) considering three driver groups. We found that initial skilling is more of an issue than deskilling after long periods of driving inactivity, i.e., while once learned driving skills seem to remain stable after longer periods of non-driving, they are much more influenced by driving experience in terms of annual mileage and frequency of use. Applied to the autonomous context, this means that drivers must be trained to a high enough skill level or require sufficient manual driving experience, in order to be able to react properly when driving themselves.
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