{"title":"Assessing the characteristics and outcomes of perceived usefulness and ease of use for autonomous vehicle adoption","authors":"Wei Peng, Kathryn Robinson-Tay","doi":"10.1016/j.trf.2025.03.014","DOIUrl":null,"url":null,"abstract":"<div><div>Autonomous vehicles have the potential to improve public safety and change the transportation landscape, but their public acceptance is not sufficiently understood. Grounded in the Technology Acceptance Model (TAM), this research proposed and validated measurement models to identify the primary factors of perceived usefulness (PU) and perceived ease of use (EU) associated with autonomous vehicles. Also, we proposed a path model to examine the relationships between PU, EU, individual differences, and acceptance. This cross-sectional study sampled 323 U.S. adults from an online panel. The result showed that PU was explained by the safety, transportation functions, societal impact, epistemic value, and emotional value of autonomous vehicles. EU was explained by complexity, observability, and desire for trial. In the path model, knowledge showed a negative relationship with PU but a positive one with EU. PU was related to trust, adoption intention, and support for research and policy. EU was related to PU, car authority identity, and trust. We discussed the theoretical implications of our findings and practical applications related to this emerging technology.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 391-408"},"PeriodicalIF":3.5000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825001068","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Autonomous vehicles have the potential to improve public safety and change the transportation landscape, but their public acceptance is not sufficiently understood. Grounded in the Technology Acceptance Model (TAM), this research proposed and validated measurement models to identify the primary factors of perceived usefulness (PU) and perceived ease of use (EU) associated with autonomous vehicles. Also, we proposed a path model to examine the relationships between PU, EU, individual differences, and acceptance. This cross-sectional study sampled 323 U.S. adults from an online panel. The result showed that PU was explained by the safety, transportation functions, societal impact, epistemic value, and emotional value of autonomous vehicles. EU was explained by complexity, observability, and desire for trial. In the path model, knowledge showed a negative relationship with PU but a positive one with EU. PU was related to trust, adoption intention, and support for research and policy. EU was related to PU, car authority identity, and trust. We discussed the theoretical implications of our findings and practical applications related to this emerging technology.
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.