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...
Main Authors: | , |
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Other Authors: | |
Format: | Journal Article |
Language: | English |
Published: |
2025
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Online Access: | https://hdl.handle.net/10356/182465 |
_version_ | 1824453755887681536 |
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author | Ho, Shirley S. Goh, Tong Jee |
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 |
author_sort | Ho, Shirley S. |
collection | NTU |
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. |
first_indexed | 2025-02-19T03:11:28Z |
format | Journal Article |
id | ntu-10356/182465 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2025-02-19T03:11:28Z |
publishDate | 2025 |
record_format | dspace |
spelling | ntu-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 |
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. |
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_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_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_sort | explicating multiple dimensions of public s and technology developers mental models of risks and benefits of artificial intelligence in autonomous vehicles in singapore |
topic | Social Sciences Mental models Comparison Risks Benefits Artificial intelligence Autonomous vehicles |
url | https://hdl.handle.net/10356/182465 |
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