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

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-02-01 Epub Date: 2025-02-03 DOI:10.1016/j.trf.2025.01.016

Shirley S. Ho, Tong Jee Goh

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Abstract

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.

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阐述新加坡公众和技术开发者对自动驾驶汽车中人工智能的风险和收益的心理模型的多个维度

自动驾驶汽车人工智能的发展有望带来更好的通勤体验。然而，目前人工智能的局限性表明，自动驾驶汽车的使用存在一些风险。根据人工智能的发展轨迹，技术开发人员和公众将建立自动驾驶汽车人工智能风险和收益的心理模型。通过绘制驾驶员、非驾驶员和技术开发人员的心理模型，该研究发现了两大主题：技术属性和自动驾驶汽车使用的含义。具体来说，有环境、经济、个人和社会方面的影响。所有心智模型都有一个关键的相似之处，那就是未来引入自动驾驶汽车运输服务所带来的好处。风险心理模型的技术维度和社会维度之间存在显著差异。结果是基于与新加坡司机、非司机和技术开发人员的七次焦点小组讨论。

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来源期刊

Transportation Research Part F-Traffic Psychology and Behaviour Multiple-

CiteScore

7.60

自引率

14.60%

发文量

239

审稿时长

71 days

期刊介绍： Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.