Unskilled and Unaware: Subpar Users of Automated Driving Systems Make Spurious Decisions

Yannick Forster, Sebastian Hergeth, Frederik Naujoks, J. Krems
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引用次数: 5

Abstract

This work investigated differences between preference and performance in Human Computer Interactions and their dependency to the respective user skill level. A driving simulator study with N=57 participants was conducted to evaluate a Human-Machine Interface for a Level 3 Automated Driving System. Two experimenters rated interaction performance (e.g., input errors, mode confusions, etc.). Additionally, participants reported their preference by means of perceived usability and acceptance. The sample was split into four groups based on the quartiles of performance. Results revealed that the four groups differed significantly in their performance. However, preference ratings did not show this effect. Thus, the present research could find evidence that the dissociation of performance and preference depends on participants' skills. Finally, future research directions are outlined.
不熟练和不知情:低水平的自动驾驶系统用户做出错误的决定
本研究调查了人机交互的偏好和表现之间的差异,以及它们对各自用户技能水平的依赖。一项有N=57名参与者的驾驶模拟器研究进行了评估3级自动驾驶系统的人机界面。两名实验者评估交互性能(例如,输入错误,模式混淆等)。此外,参与者通过感知可用性和接受度来报告他们的偏好。样本根据表现的四分位数分为四组。结果显示,四组的表现有显著差异。然而,偏好评级并没有显示出这种影响。因此,本研究可以找到证据表明,表现和偏好的分离取决于参与者的技能。最后,展望了未来的研究方向。
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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