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Driving automation state-of-mind: Using training to instigate rapid mental model development.
Applied Ergonomics ( IF 3.1 ) Pub Date : 2019-11-12 , DOI: 10.1016/j.apergo.2019.102986
Martin Krampell 1 , Ignacio Solís-Marcos 1 , Magnus Hjälmdahl 1
Affiliation  

The automotive industry is chugging along towards full autonomy, with a yet unknown time of arrival. The next call, however, is partial driving automation. At this interim station lurks many dangers, there-among them issues surrounding the partial performance of the driving task. Despite their potential for increased safety, these systems come with many inherent limitations and caveats, and their safe use depend on drivers correctly understanding their new role. Training is proposed as a potentially effective method of introducing drivers to the central aspects in this human-automation interaction. A proof-of-concept training program designed to introduce drivers to a partial automation system was developed. The effects of training were then evaluated through a between-group mixed-methods simulator experiment. Results indicate that trained drivers both self-report and exhibit an improved understanding of the automation system. They also report a significantly higher inclination to retake control in critical situation, than do their untrained counterparts.

中文翻译:

驾驶自动化的心态:使用培训来促进快速的心理模型开发。

汽车行业正在朝着完全自主的方向前进,但尚未到来。但是,下一个要求是部分驾驶自动化。在该临时工位潜伏着许多危险,其中包括围绕部分执行驾驶任务的问题。尽管它们具有提高安全性的潜力,但这些系统具有许多固有的局限性和警告性,其安全使用取决于驾驶员是否正确理解其新角色。培训被认为是一种潜在的有效方法,可以将驾驶员介绍给这种人与自动化交互的中心方面。开发了旨在向驾驶员介绍部分自动化系统的概念验证培训程序。然后通过组间混合方法模拟器实验评估培训的效果。结果表明,受过训练的驾驶员既可以自我报告,也可以更好地了解自动化系统。他们还报告说,与未经训练的同行相比,在紧急情况下重新控制的倾向要大得多。
更新日期:2019-11-01
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