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A comparison of the views of experts and the public on automated vehicles technologies and societal implications

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  • Swain, Ritwik
  • Truelove, Verity
  • Rakotonirainy, Andry
  • Kaye, Sherrie-Anne

Abstract

Automated vehicles (AVs) are seen as a gateway to safer and more accessible mobility, while others see AVs as unrealistic and dangerous. Public perception of AVs is not always in line with experts' views on issues relating to technology and public safety. To explore how the views of the public and experts compare, two qualitative studies were conducted with the aim of understanding attitudes, opinions, and expertise on a variety of matters relating to emerging AV technology and its societal impacts. Interviews were conducted with 11 AV experts from a variety of fields of expertise including optometry, engineering, computer science and psychology. Additionally, eight focus groups were held with 34 members of the public to discuss their opinions about AV technologies. Views from the public and experts were divided into 12 themes, with three categories (positive, mixed, and negative feelings towards AVs). The five themes under the positive category included topics of the danger of conventional vehicles, inclusive mobility, the use of time and space, familiarisation with AVs, and safety benefits. The two themes under the mixed feelings categories were, concerns about trust and the legal challenges. The five themes under the negative category were, the technological challenges, the complexity of monitoring, mixed-fleet danger, skills atrophy, and cybersecurity. The results showed that both the experts and public participants were enthusiastic about AVs, with a minority from both groups sceptical about this emerging technology. Insights from this research can be used to help inform 1) how the law can be adapted to AVs and 2) areas that can be focused on to alleviate the public's concerns around AVs.

Suggested Citation

  • Swain, Ritwik & Truelove, Verity & Rakotonirainy, Andry & Kaye, Sherrie-Anne, 2023. "A comparison of the views of experts and the public on automated vehicles technologies and societal implications," Technology in Society, Elsevier, vol. 74(C).
  • Handle: RePEc:eee:teinso:v:74:y:2023:i:c:s0160791x23000933
    DOI: 10.1016/j.techsoc.2023.102288
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    References listed on IDEAS

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    1. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    3. Du, Manqing & Zhang, Tingru & Liu, Jinting & Xu, Zhigang & Liu, Peng, 2022. "Rumors in the air? Exploring public misconceptions about automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 237-252.
    4. Mamak, Kamil & Glanc, Jadwiga, 2022. "Problems with the prospective connected autonomous vehicles regulation: Finding a fair balance versus the instinct for self-preservation," Technology in Society, Elsevier, vol. 71(C).
    5. Aggelos Soteropoulos & Martin Berger & Francesco Ciari, 2019. "Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 29-49, January.
    6. Patrick A. Singleton, 2019. "Discussing the “positive utilities” of autonomous vehicles: will travellers really use their time productively?," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 50-65, January.
    7. Anania, Emily C. & Rice, Stephen & Walters, Nathan W. & Pierce, Matthew & Winter, Scott R. & Milner, Mattie N., 2018. "The effects of positive and negative information on consumers’ willingness to ride in a driverless vehicle," Transport Policy, Elsevier, vol. 72(C), pages 218-224.
    8. Rothman, Stanley & Lichter, S. Robert, 1987. "Elite Ideology and Risk Perception in Nuclear Energy Policy," American Political Science Review, Cambridge University Press, vol. 81(2), pages 383-404, June.
    9. Nielsen, Thomas Alexander Sick & Haustein, Sonja, 2018. "On sceptics and enthusiasts: What are the expectations towards self-driving cars?," Transport Policy, Elsevier, vol. 66(C), pages 49-55.
    10. Faber, Koen & van Lierop, Dea, 2020. "How will older adults use automated vehicles? Assessing the role of AVs in overcoming perceived mobility barriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 353-363.
    11. Sergey Naumov & David R. Keith & Charles H. Fine, 2020. "Unintended Consequences of Automated Vehicles and Pooling for Urban Transportation Systems," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1354-1371, May.
    12. Kaye, Sherrie-Anne & Buckley, Lisa & Rakotonirainy, Andry & Delhomme, Patricia, 2019. "An adaptive approach for trialling fully automated vehicles in Queensland Australia: A brief report," Transport Policy, Elsevier, vol. 81(C), pages 275-281.
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    1. Schuster, Amy M. & Agrawal, Shubham & Britt, Noah & Sperry, Danielle & Van Fossen, Jenna A. & Wang, Sicheng & Mack, Elizabeth A. & Liberman, Jessica & Cotten, Shelia R., 2023. "Will automated vehicles solve the truck driver shortages? Perspectives from the trucking industry," Technology in Society, Elsevier, vol. 74(C).

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