Public’s acceptance of automated vehicles: the role of initial trust and subjective norm

This study aimed to investigate factors that determine public’s acceptance of automated vehicles (AVs) by proposing and empirically testing an AV acceptance model. The model was developed by incorporating two factors, i.e., trust and subjective norm, into the Technology Acceptance Model. The validity of the model was confirmed with a structure equation modeling analysis based on data collected from 395 survey samples. It was found that trust was the most critical determinant of public’s acceptance of AVs and offered a way for other factors (i.e. perceived usefulness and social norm) to impact AV acceptance. Subjective norm was also identified as an important factor in shaping users’ usage intention, at lease in China, a country dominated by collectivistic culture. Findings from this study provide some guidelines in improving AV products to attract users.

• Record URL:
  https://doi.org/10.1177/1071181319631183
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/21695067
• Supplemental Notes:
  • © 2019 by Human Factors and Ergonomics Society.
• Authors:
  • Zhang, Tingru
  • Tan, Haibo
  • Li, Shuling
  • Zhu, Haoyu
  • Tao, Da
• Publication Date: 2019-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 919-923
• Serial:
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Volume: 63
  • Issue Number: 1
  • Publisher: Sage Publications, Incorporated
  • ISSN: 2169-5067
  • EISSN: 1071-1813
  • Serial URL: http://journals.sagepub.com/home/pro

Subject/Index Terms

• TRT Terms: Acceptance; Consumer preferences; Data collection; Empirical methods; Intelligent vehicles; Surveys
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01726071
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 20 2019 4:25PM