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Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents

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  • Zhang, Qiyuan
  • Wallbridge, Christopher D.
  • Jones, Dylan M.
  • Morgan, Phillip L.

Abstract

Road accidents involving autonomous vehicles (AVs) will not only introduce legal challenges over liability distribution but also generally diminish the public trust that may make itself manifested in slowing the initial adoption of the technology and call into question the continued adoption of the technology. Understanding the public’s reactions to such incidents, especially the way they differentiate from conventional vehicles, is vital for future policy-making and legislation, which will in turn shape the landscape of the autonomous vehicle industry. In this paper, intuitive judgments of blame and trust were investigated in simulated scenarios of road-traffic accidents involving either autonomous vehicles or human-driven vehicles. In an initial study, five of six scenarios showed more blame and less trust attributed to autonomous vehicles, despite the scenarios being identical in antecedents and consequences to those with a human driver. In one scenario this asymmetry was sharply reversed; an anomaly shown in a follow-up experiment to be dependent on the extent to which the incident was more likely to be foreseeable by the human driver. More generally these studies show—rather than being the result of a universal higher performance standard against autonomous vehicles—that blame and trust are shaped by stereotypical conceptions of the capabilities of machines versus humans applied in a context-specific way, which may or may not align with objectively derived state of affairs. These findings point to the necessity of regularly calibrating the public’s knowledge and expectation of autonomous vehicles through educational campaigns and legislative measures mandating user training and timely disclosure from car manufacturers/developers regarding their product capabilities.

Suggested Citation

  • Zhang, Qiyuan & Wallbridge, Christopher D. & Jones, Dylan M. & Morgan, Phillip L., 2024. "Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    • Handle: RePEc:eee:transa:v:179:y:2024:i:c:s0965856423003075
    DOI: 10.1016/j.tra.2023.103887
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    References listed on IDEAS

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    1. Jean-François Bonnefon & Azim Shariff & Iyad Rahwan, 2019. "The Trolley, the Bull Bar, and Why Engineers Should Care About the Ethics of Autonomous Cars," Post-Print hal-04121686, HAL.
    2. Edmond Awad & Sohan Dsouza & Richard Kim & Jonathan Schulz & Joseph Henrich & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2018. "The Moral Machine experiment," Nature, Nature, vol. 563(7729), pages 59-64, November.
    3. Jo-Ann Pattinson & Haibo Chen & Subhajit Basu, 2020. "Legal issues in automated vehicles: critically considering the potential role of consent and interactive digital interfaces," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.
    4. Paul Slovic & Melissa L. Finucane & Ellen Peters & Donald G. MacGregor, 2004. "Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 311-322, April.
    5. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Edmond Awad & Sydney Levine & Max Kleiman-Weiner & Sohan Dsouza & Joshua B. Tenenbaum & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2020. "Drivers are blamed more than their automated cars when both make mistakes," Nature Human Behaviour, Nature, vol. 4(2), pages 134-143, February.
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