Disuse of advanced driver assistance systems (ADAS)

Soyeon Kim*, Oscar Oviedo-Trespalacios

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

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.

Original languageEnglish
Pages (from-to)180-188
Number of pages9
JournalJournal of Safety Research
Volume95
DOIs
Publication statusPublished - 2025

Keywords

  • ADAS
  • Automated vehicles
  • Disuse
  • driver behavior
  • Human-Machine Interaction

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