Explicating multiple dimensions of public's and technology developers' mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore

被引：0
作者：
Ho, Shirley S. [1 ]
Goh, Tong Jee [1 ]
机构：
[1] Nanyang Technol Univ, Wee Kim Wee Sch Commun & Informat, 31 Nanyang Link, Singapore 637718, Singapore
来源：
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR | 2025年 / 109卷
基金：
新加坡国家研究基金会;
关键词：
Mental models; Comparison; Risks; Benefits; Artificial intelligence; Autonomous vehicles; EXPERT; CONSUMER; ACCEPTANCE; PERCEPTION; CLIMATE; DRIVE; TRUST;
D O I：
10.1016/j.trf.2025.01.016
中图分类号：
B849 [应用心理学];
学科分类号：
040203 ;
摘要：
Developments of artificial intelligence for autonomous vehicles promise better commuting experiences. However, current limitations of artificial intelligence signal some risks associated with autonomous vehicle use. Based on the trajectory of artificial intelligence development, technology developers and the public would develop mental models of risks and benefits of artificial intelligence in autonomous vehicles. Mapping drivers', non-drivers', and technology developers' mental models, this study found two broad themes: technological attributes and implications of autonomous vehicle use. Specifically, there are environmental, economic, personal, and societal dimensions of implications. Benefits associated with prospective introductions of autonomous vehicle-enabled transport services is a key similarity among all mental models. Notable differences occur between the technological and societal dimensions of mental models of risks. The results are based on seven focus group discussions with drivers, non-drivers, and technology developers in Singapore.
引用
收藏
页码：1293 / 1312
页数：20
相关论文
共 115 条
  • [1] Andlauer F., Laurell A., (2024)
  • [2] Axtell B., Munteanu C., Back to real pictures: A cross-generational understanding of users’ mental models of photo cloud storage, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3, 3, pp. 1-24, (2019)
  • [3] Bansal P., Kockelman K.M., Singh A., Assessing public opinions of and interest in new vehicle technologies: An Austin perspective, Transportation Research Part C: Emerging Technologies, 67, pp. 1-14, (2016)
  • [4] Beggiato M., Krems J.F., The evolution of mental model, trust, and acceptance of adaptive cruise control in relation to initial information, Transportation Research Part F: Traffic Psychology and Behavior, 18, pp. 47-57, (2013)
  • [5] Berzin S.C., Coulton C.J., Harness technology for social good, Grand challenges for social work and society, pp. 161-180, (2018)
  • [6] Bhumbla A., Samuel M., September 20), (2023)
  • [7] (2024)
  • [8] Boeije H., A purposeful approach to the constant comparative method in the analysis of qualitative interviews, Quality & Quantity, 36, 4, pp. 391-409, (2002)
  • [9] Bostrom A., Mental models of risk, (2017)
  • [10] Brell T., Philipsen R., Ziefle M., sCARy! Risk perceptions in autonomous driving: The influence of experience on perceived benefits and barriers, Risk Analysis, 39, 2, pp. 342-357, (2019)
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