Explanation Needs in Automated Driving: Insights from German Driving Education and Vehicle Acquisition

被引:0
作者
Manger, Carina [1 ,2 ]
Albrecht, Kathrin [1 ]
Riener, Andreas [1 ]
机构
[1] Tech Hsch Ingolstadt, Ingolstadt, Germany
[2] Johannes Kepler Univ Linz, Linz, Austria
来源
PROCEEDINGS OF THE 2024 CONFERENCE ON MENSCH UND COMPUTER, MUC 2024 | 2024年
关键词
Automated Driving; Explainability; Driving Education; Vehicle Acquisition; User Study; Expert Interviews; TRUST; KNOWLEDGE; SYSTEMS;
D O I
10.1145/3670653.3670679
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As driving assistance driving systems become increasingly advanced, a correct understanding of the functionality of these systems is crucial for safe use. In this work we explored drivers' explanation needs and current explanation methods from an important but underlooked perspective: driver training and vehicle acquisition. In a two-step approach, we conducted expert interviews with n = 7 driving instructors and vehicle salespeople in Germany and validated these results with an online survey of n = 105. Our results show that Driver Assistance Systems (DASs) and Advanced Driver Assistance Systems (ADASs), are currently covered in both driver training and vehicle acquisition but to a varying extent and in a very application-oriented manner. A drivers' tendency for preferring comparative explanations that build upon knowledge about similar systems was found. Based on the combined results, we emphasize the need for mandatory and standardized explanation methods to ensure a safe transition to automated driving.
引用
收藏
页码:288 / 298
页数:11
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