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Do You Want Your Autonomous Car To Drive Like You?

Authors:

Chandrayee Basu,

David Hungerman,

Mukesh Singhal,

Anca D. DraganAuthors Info & Claims

HRI '17: Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

Pages 417 - 425

https://doi.org/10.1145/2909824.3020250

Published: 06 March 2017 Publication History

Abstract

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.

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Cited By

Xia TChen H(2024)A Survey of Autonomous Vehicle Behaviors: Trajectory Planning Algorithms, Sensed Collision Risks, and User ExpectationsSensors10.3390/s2415480824:15(4808)Online publication date: 24-Jul-2024
https://doi.org/10.3390/s24154808
Domova VCurrano RSirkin D(2024)Comfort in Automated Driving: A Literature Survey and a High-Level Integrative FrameworkProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785838:3(1-23)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678583
Karagulle ROzay NArechiga NDecastro JBest A(2024)Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous VehiclesProceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control10.1145/3641513.3650129(1-11)Online publication date: 14-May-2024
https://dl.acm.org/doi/10.1145/3641513.3650129
Show More Cited By

Index Terms

Do You Want Your Autonomous Car To Drive Like You?

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Information & Contributors

Information

Published In

cover image ACM Conferences

HRI '17: Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

March 2017

510 pages

ISBN:9781450343367

DOI:10.1145/2909824

General Chairs:
Bilge Mutlu
University of Wisconsin-Madison, USA
,
Manfred Tscheligi
University of Salzburg, Austria
,
Program Chairs:
Astrid Weiss
Vienna University of Technology, Austria
,
James E. Young
University of Manitoba, Canada

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGAI: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
IEEE-RAS: Robotics and Automation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2017

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Berkeley Deep Drive Center
Center for Human-Compatible AI

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HRI '17

Sponsor:

SIGAI
SIGCHI
IEEE-RAS

HRI '17: ACM/IEEE International Conference on Human-Robot Interaction

March 6 - 9, 2017

Vienna, Austria

Acceptance Rates

HRI '17 Paper Acceptance Rate 51 of 211 submissions, 24%;

Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

Xia TChen H(2024)A Survey of Autonomous Vehicle Behaviors: Trajectory Planning Algorithms, Sensed Collision Risks, and User ExpectationsSensors10.3390/s2415480824:15(4808)Online publication date: 24-Jul-2024
https://doi.org/10.3390/s24154808
Domova VCurrano RSirkin D(2024)Comfort in Automated Driving: A Literature Survey and a High-Level Integrative FrameworkProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785838:3(1-23)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678583
Karagulle ROzay NArechiga NDecastro JBest A(2024)Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous VehiclesProceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control10.1145/3641513.3650129(1-11)Online publication date: 14-May-2024
https://dl.acm.org/doi/10.1145/3641513.3650129
Zhang YYe BMubbala DDu N(2024)Examining the Impact of Driving Styles of Automated Vehicles and Human Drivers on Driving Behavior: A Driving Simulator StudyAdjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3641308.3685050(214-219)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3641308.3685050
Zhang YAwad EFrank MLiu PDu N(2024)Understanding Human-machine Cooperation in Game-theoretical Driving Scenarios amid Mixed TrafficProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642053(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642053
Pinto MDutra IFonseca J(2024)Data and Knowledge for Overtaking Scenarios in Autonomous DrivingJournal of Autonomous Vehicles and Systems10.1115/1.40642892:4Online publication date: 2-Apr-2024
https://doi.org/10.1115/1.4064289
Schwager RGrimm MLiu XEwecker LBrühl TSohn THohmann S(2024)An Analysis of Driver-Initiated Takeovers during Assisted Driving and their Effect on Driver Satisfaction2024 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV55156.2024.10588585(1907-1914)Online publication date: 2-Jun-2024
https://doi.org/10.1109/IV55156.2024.10588585
Baby TIppoliti HWintersberger PZhang YYoon SLee JLee S(2024)Development and classification of autonomous vehicle’s ambiguous driving scenarioAccident Analysis & Prevention10.1016/j.aap.2024.107501200(107501)Online publication date: Jun-2024
https://doi.org/10.1016/j.aap.2024.107501
Lee JKim JJhon JKim YSuh MLee J(2023)Optimal Design of Input Parameters for Autonomous Driving Patterns Considering Longitudinal Vehicle BehaviorTransaction of the Korean Society of Automotive Engineers10.7467/KSAE.2023.31.5.37131:5(371-378)Online publication date: 1-May-2023
https://doi.org/10.7467/KSAE.2023.31.5.371
Hejna JSadigh DOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)Inverse preference learningProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3666947(18806-18827)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3666947
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