Understanding Drivers’ Acceptance of Cooperation Vehicle-Infrastructure Systems: Integrating Information Service Quality, Display Service Quality, Distraction Perception, and Trust into TAM and UTAUT Frameworks

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Authors: Jie Li, Guanjie Li, Guanyang Xing, Zhenlong Li, Xiaohua Zhao
Cited by: 1
References: 105

Abstract

This study examines drivers’ acceptance of the cooperation vehicle–infrastructure system (CVIS) by comparing an extended technology acceptance model (TAM) and an extended unified theory of acceptance and use of technology (UTAUT). CVIS-specific interaction factors, including information service quality, display service quality, perceived distraction, and trust, are incorporated into both models. Survey data from 392 drivers are analyzed using structural equation modeling. Results indicate that both models demonstrate satisfactory fit and explanatory power, with the extended UTAUT outperforming the extended TAM. Performance expectancy, effort expectancy, social influence, information service quality, and trust positively influence intention to use CVIS, whereas perceived distraction has a negative effect. Trust is the strongest predictor. The study further identifies significant moderating effects of age, gender, and prior experience on these relationships, providing crucial insights for the design and implementation of CVIS technologies.

Fields of Study & Subjects

Human-Automation Interaction and Safety Transportation and Mobility Innovations Transportation Planning and Optimization

Publication details

Journal / source
International Journal of Human-Computer Interaction
Publisher
Informa UK Limited
Volume
42
Issue
20
Pages
1–28
Publication date
11 February 2026
Language
EN