ExplAIn Yourself! Transparency for Positive UX in Autonomous Driving

要旨

In a fully autonomous driving situation, passengers hand over the steering control to a highly automated system. Autonomous driving behaviour may lead to confusion and negative user experience. When establishing such new technology, the user’s acceptance and understanding are crucial factors regarding success and failure. Using a driving simulator and a mobile application, we evaluated if system transparency during and after the interaction can increase the user experience and subjective feeling of safety and control. We contribute an initial guideline for autonomous driving experience design, bringing together the areas of user experience, explainable artificial intelligence and autonomous driving. The AVAM questionnaire, UEQ-S and interviews show that explanations during or after the ride help turn a negative user experience into a neutral one, which might be due to the increased feeling of control. However, we did not detect an effect for combining explanations during and after the ride.

著者
Tobias Schneider
Stuttgart Media University, Stuttgart, Baden-Württemberg, Germany
Joana Hois
Mercedes-Benz AG, Böblingen, Baden-Württemberg, Germany
Alischa Rosenstein
Mercedes-Benz AG, Böblingen, Baden-Württemberg, Germany
Sabiha Ghellal
Stuttgart Media University, Stuttgart, Baden-Württemberg, Germany
Dimitra Theofanou-Fülbier
Mercedes-Benz AG, Böblingen, Baden-Württemberg, Germany
Ansgar R.S.. Gerlicher
Stuttgart Media University, Stuttgart, Baden-Württemberg, Germany
DOI

10.1145/3411764.3446647

論文URL

https://doi.org/10.1145/3411764.3446647

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Human-AI, Automation, Vehicles & Drones / Trust & Explainability

[A] Paper Room 15, 2021-05-13 17:00:00~2021-05-13 19:00:00 / [B] Paper Room 15, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 15, 2021-05-14 09:00:00~2021-05-14 11:00:00
Paper Room 15
12 件の発表
2021-05-13 17:00:00
2021-05-13 19:00:00
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