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