Factors influencing behavioral intentions to use conditionally automated vehicles

作者：Sjaan Koppel, David Logan, Xin Zou, Fareed Kaviani, Hayley McDonald, Joseph F. Hair, Renée M. St. Louis, Lisa J. Molnar, Judith Charlton · 发表于：Journal of Safety Research · 年份：2024 · DOI：10.1016/j.jsr.2024.10.006 · 被引用次数：12 · 研究领域：Human-Automation Interaction and Safety、Traffic and Road Safety、Technology Adoption and User Behaviour

• Conditionally automated vehicles will be integrated into the road system soon. • Current study explored factors influencing intentions to use conditionally automated vehicles. • Perceived usefulness strongly impacts intentions to use conditionally automated vehicles. • Education programs are key to helping consumers understand conditionally automated vehicles' capabilities and limits. Background: This study explored factors influencing the acceptance of conditionally automated vehicles among Australian drivers by extending the Technology Acceptance Model with the Technology Readiness Index. Method: Data from an online survey of 844 participants were analyzed using partial least squares structural equation modeling (PLS-SEM). Results: Perceived usefulness had the strongest direct effect on behavioral intention (0.469, p < 0.001), followed by attitude (0.318, p < 0.001). Innovativeness positively influenced behavioral intention (0.183, p < 0.001), while insecurity had a negative impact (−0.071, p < 0.01). Optimism and discomfort were not significant. Perceived usefulness also had significant indirect effects through attitude (0.156, p < 0.001) and trust (0.072, p < 0.001). Perceived ease of use indirectly influenced behavioral intention through perceived usefulness (0.306, p < 0.001), attitude (0.102, p < 0.001), trust (0.047, p < 0.001), and their combinations. Trust indirectly affected behavioral intention via attitude (0.130, p < 0.001). Perceived security and privacy risk...