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Do We Blindly Trust Self-Driving Cars

Published: 06 March 2017 Publication History

Abstract

Trust is an essential factor in ensuring robust human-robot interaction. However, recent work suggests that people can be too trusting of the technology with which they interact during emergencies, causing potential harm to themselves. To test whether this "over-trust" also extends to normal day-to-day activities, such as driving a car, we carried out a series of experiments with an autonomous car simulator. Participants (N=73) engaged in a scenario with no, correct or false audible information regarding the state of traffic around the self-driving vehicle, and were told they could assume control at any point in the interaction. Results show that participants trust the autonomous system, even when they should not, leading to potential dangerous situations.

References

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Helldin, T., Falkman, G., Riveiro, M., & Davidsson, S. (2013, October). Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. In Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 210--217). ACM.
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Koo, J., Kwac, J., Ju, W., Steinert, M., Leifer, L., & Nass, C. (2015). Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance. International Journal on Interactive Design and Manufacturing (IJIDeM), 9(4), 269--275.
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Richards, D., & Stedmon, A. (2016). To delegate or not to delegate: A review of control frameworks for autonomous cars. Applied ergonomics, 53, 383--388.
[4]
Robinette, P., Li, W., Allen, R., Howard, A. M., & Wagner, A. R. (2016, March). Overtrust of robots in emergency evacuation scenarios. In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 101--108). IEEE.
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Waytz, A., Heafner, J., & Epley, N. (2014). The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. Journal of Experimental Social Psychology, 52, 113--117.

Cited By

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  • (2023)Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future DirectionsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581197(1-16)Online publication date: 19-Apr-2023
  • (2023)Not Only WEIRD but “Uncanny”? A Systematic Review of Diversity in Human–Robot Interaction ResearchInternational Journal of Social Robotics10.1007/s12369-023-00968-415:11(1841-1870)Online publication date: 8-Mar-2023
  • (2023)Heuristics to Design Trustworthy Technologies: Study Design and Current ProgressHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42293-5_60(491-495)Online publication date: 26-Aug-2023
  • Show More Cited By

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cover image ACM Conferences
HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
March 2017
462 pages
ISBN:9781450348850
DOI:10.1145/3029798
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2017

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Author Tags

  1. ai
  2. artificial intelligence
  3. as
  4. autonomous system
  5. hri
  6. human robot interaction
  7. sdc
  8. self-driving car
  9. trust

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HRI '17 Paper Acceptance Rate 51 of 211 submissions, 24%;
Overall Acceptance Rate 192 of 519 submissions, 37%

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Cited By

View all
  • (2023)Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future DirectionsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581197(1-16)Online publication date: 19-Apr-2023
  • (2023)Not Only WEIRD but “Uncanny”? A Systematic Review of Diversity in Human–Robot Interaction ResearchInternational Journal of Social Robotics10.1007/s12369-023-00968-415:11(1841-1870)Online publication date: 8-Mar-2023
  • (2023)Heuristics to Design Trustworthy Technologies: Study Design and Current ProgressHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42293-5_60(491-495)Online publication date: 26-Aug-2023
  • (2021)Should Conditional Self-Driving Cars Consider the State of the Human Inside the Vehicle?Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3462243(137-141)Online publication date: 21-Jun-2021
  • (2019)Trust and Distrust of Automated Parking in a Tesla Model XHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/001872081986541262:2(194-210)Online publication date: 16-Aug-2019
  • (2018)Enhancing Trust in Autonomous Vehicles through Intelligent User Interfaces That Mimic Human BehaviorMultimodal Technologies and Interaction10.3390/mti20400622:4(62)Online publication date: 24-Sep-2018
  • (2018)Simulations and Self-Driving CarsCompanion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3173386.3176987(205-206)Online publication date: 1-Mar-2018

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