I Drive - You Trust: Explaining Driving Behavior Of Autonomous Cars

被引：38

作者：

Wiegand, Gesa ^{[1
,2
]}

Schmidmaier, Matthias ^{[1
,2
]}

Weber, Thomas ^{[1
,2
]}

Liu, Yuanting ^{[1
]}

Hussmann, Heinrich ^{[2
]}

机构：

[1] Fortiss GmbH, Munich, Germany

[2] Ludwig Maximilians Univ Munchen, Munich, Germany

来源：

CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2019年

关键词：

Autonomous Driving; Explainability; Mental Model; Situation Awareness;

D O I：

10.1145/3290607.3312817

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Driving in autonomous cars requires trust, especially in case of unexpected driving behavior of the vehicle. This work evaluates mental models that experts and non-expert users have of autonomous driving to provide an explanation of the vehicle's past driving behavior. We identified a target mental model that enhances the user's mental model by adding key components from the mental model experts have. To construct this target mental model and to evaluate a prototype of an explanation visualization we conducted interviews (N=8) and a user study (N=16). The explanation consists of abstract visualizations of different elements, representing the autonomous system's components. We explore the relevance of the explanation's individual elements and their influence on the user's situation awareness. The results show that displaying the detected objects and their predicted motion was most important to understand a situation. After seeing the explanation, the user's level of situation awareness increased significantly.

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页数：6

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