ATHENA: supporting UX of conditionally automated driving with natural language reliability displays

Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings Pub Date : 2019-09-21 DOI:10.1145/3349263.3351312

Anna-Katharina Frison, Philipp Wintersberger, Amelie Oberhofer, A. Riener

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引用次数: 10

Abstract

Research on conditionally automated (SAE L3) vehicles usually addresses safety issues in the context of Take-Over Requests. However, little knowledge is available on how the mere possibility of upcoming control transfers affects drivers' user experience. To learn more about this problem, we conducted a focus group discussion. Results suggest that the psychological needs of security, autonomy, competence, and stimulation are not properly satisfied in SAE L3 driving. To counteract, we developed a natural language reliability display (called "ATHENA"), aiming at satisfying these needs in different driving situations. First results from a driving simulator study (N=18) indicate that ATHENA, although not making drivers feel more autonomous, positively influenced their subjective feeling of safety while reducing negative affect. We conclude this work by pointing out the potential of natural language reliability displays for future SAE L3 vehicles.

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雅典娜:支持有条件自动驾驶的用户体验，具有自然语言可靠性显示

对条件自动驾驶(SAE L3)车辆的研究通常涉及接管请求背景下的安全问题。然而，关于即将到来的控制权转移的可能性如何影响驾驶员的用户体验，人们知之甚少。为了更多地了解这个问题，我们进行了一个焦点小组讨论。结果表明，SAE L3驾驶的安全、自主、胜任和刺激心理需求未得到很好的满足。为此，我们开发了一种自然语言可靠性显示器(称为“ATHENA”)，旨在满足不同驾驶情况下的这些需求。驾驶模拟器研究的第一个结果(N=18)表明，雅典娜虽然没有让司机感到更自主，但却积极地影响了他们的主观安全感，同时减少了负面影响。我们通过指出自然语言可靠性显示在未来SAE L3车辆中的潜力来总结这项工作。

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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Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings

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