Do You Want Your Autonomous Car To Drive Like You?

• Published in: 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI pp. 417 - 425
• Main Authors: Basu, Chandrayee, Yang, Qian, Hungerman, David, Singhal, Mukesh, Dragan, Anca D.
• Format: Conference Proceeding
• Language: English
• Published: New York, NY, USA ACM 06.03.2017
• Series: ACM Conferences
• Subjects: Atmospheric measurements; Automobiles; Autonomous automobiles; autonomous cars; Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents; Computing methodologies > Artificial intelligence > Planning and scheduling > Robotic planning; Computing methodologies > Modeling and simulation; driving preferences; driving style; Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > User models; Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > User studies; Information systems > Information systems applications > Data mining; Roads; Safety; Task analysis; driving preferences; driving style; autonomous cars
• ISBN: 9781450343367; 1450343368
• ISSN: 2167-2148
• DOI: 10.1145/2909824.3020250

With progress in enabling autonomous cars to drive safely on the road, it is time to start asking how they should be driving. A common answer is that they should be adopting their users' driving style. This makes the assumption that users want their autonomous cars to drive like they drive - aggressive drivers want aggressive cars, defensive drivers want defensive cars. In this paper, we put that assumption to the test. We find that users tend to prefer a significantly more defensive driving style than their own. Interestingly, they prefer the style they think is their own, even though their actual driving style tends to be more aggressive. We also find that preferences do depend on the specific driving scenario, opening the door for new ways of learning driving style preference.