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

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 develo...

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Main Authors: Ho, Shirley S., Goh, Tong Jee
其他作者: Wee Kim Wee School of Communication and Information
格式: Article
語言:English
出版: 2025
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在線閱讀:https://hdl.handle.net/10356/182465
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機構: Nanyang Technological University
語言: English
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spelling sg-ntu-dr.10356-1824652025-02-09T15:33:56Z Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore. Ho, Shirley S. Goh, Tong Jee Wee Kim Wee School of Communication and Information Social Sciences Mental models Comparison Risks Benefits Artificial intelligence Autonomous vehicles 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. National Research Foundation (NRF) Published version This project is supported by the National Research Foundation, Singapore under its AI Singapore Program (AISG Award Number: AISG3-GV-2021-007). 2025-02-05T02:50:49Z 2025-02-05T02:50:49Z 2025 Journal Article Ho, S. S. & Goh, T. J. (2025). Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore.. Transportation Research Part F: Traffic Psychology and Behaviour, 109, 1293-1312. https://dx.doi.org/10.1016/j.trf.2025.01.016 1369-8478 https://hdl.handle.net/10356/182465 10.1016/j.trf.2025.01.016 109 1293 1312 en AISG3-GV-2021-007 Transportation Research Part F: Traffic Psychology and Behaviour © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social Sciences
Mental models
Comparison
Risks
Benefits
Artificial intelligence
Autonomous vehicles
spellingShingle Social Sciences
Mental models
Comparison
Risks
Benefits
Artificial intelligence
Autonomous vehicles
Ho, Shirley S.
Goh, Tong Jee
Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore.
description 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.
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
Ho, Shirley S.
Goh, Tong Jee
format Article
author Ho, Shirley S.
Goh, Tong Jee
author_sort Ho, Shirley S.
title Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore.
title_short Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore.
title_full Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore.
title_fullStr Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore.
title_full_unstemmed Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore.
title_sort explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in singapore.
publishDate 2025
url https://hdl.handle.net/10356/182465
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