2025/10/05 by Soyeon Kim, Oscar Oviedo-Trespalacios, Óscar Oviedo-Trespalacios · 1 voice · 1 citation
Health Professions · Psychology · Engineering · #Older Adults Driving Studies #Human-Automation Interaction and Safety #Autonomous Vehicle Technology and Safety
paper · doi:10.1016/j.jsr.2025.09.004
• This study investigates disuse behaviours from SAE Level 2 automated vehicles through in-depth interviews. • Disuse, encompassing situational disengagement and systematic avoidance, was examined across three domains: Driving task (strategic, tactical, and operational level of driving tasks), Human (sense of control, knowledge, trust, and responsibility), and Environment (road users and road situation). • Drivers cited discomfort with the system’s driving style, a lack of trust in its perception capabilities, and incompatibility with their driving preferences. • Complex environments, such as construction zones and areas with high pedestrian density, intensified the likelihood of system disengagement. • Legal and moral responsibility emerged as important factors shaping drivers’ preference for manual control. Introduction : The advancement of advanced driver assistance systems (ADAS) aims to enhance driving safety, efficiency, and convenience. However, their potential remains underutilized as drivers frequently disengage or avoid using these systems. This study investigates the phenomenon of ADAS disuse, encompassing situational disengagement and systematic avoidance, through in-depth interviews with SAE Level 2 automated vehicle drivers. Method: Using thematic analysis, we identified nine key themes influencing disuse across three domains: Driving task (strategic, tactical, and operational level of driving tasks); Human (sense of control, knowledge, trust, and responsibility); and Environment (road users and road situation). Results: Drivers cited discomfort with system aggressiveness, lack of trust in detection capabilities, and incompatibility with their driving styles as critical factors. Environmental complexities, such as construction zones and pedestrian-heavy areas, further exacerbated disengagement. Additionally, legal and moral responsibility emerged as influences on drivers’ preferences for manual control. Conclusions: Our findings underscore the need for adaptive, user-centered designs prioritizing trust, transparency, and context-sensitive system behaviors. By addressing these barriers, ADAS can achieve safer and more consistent adoption, supporting broader goals of accident prevention and traffic efficiency. Practical Applications: This study provides insights for enhancing ADAS design and fostering driver confidence, paving the way for their effective integration into modern mobility solutions.