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

Shirley S. Ho, Tong Jee Goh*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1293-1312
Number of pages20
JournalTransportation Research Part F: Traffic Psychology and Behaviour
Volume109
DOIs
Publication statusPublished - Feb 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025 The Authors

ASJC Scopus Subject Areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Applied Psychology

Keywords

  • Artificial intelligence
  • Autonomous vehicles
  • Benefits
  • Comparison
  • Mental models
  • Risks

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