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Area of Science:

  • Human-Computer Interaction
  • Automotive Engineering
  • Transportation Safety

Background:

  • Advanced Driver Assistance Systems (ADAS) offer potential for enhanced driving safety and efficiency.
  • Underutilization of ADAS is a significant barrier, driven by frequent driver disengagement and avoidance.
  • Understanding the reasons behind ADAS disuse is crucial for improving their adoption and effectiveness.

Purpose of the Study:

  • To investigate the phenomenon of ADAS disuse, including situational disengagement and systematic avoidance.
  • To identify key factors influencing drivers' decisions to disengage from or avoid using ADAS.
  • To provide insights for designing more user-centered and effective ADAS.

Main Methods:

  • Conducted in-depth interviews with drivers of SAE Level 2 automated vehicles.
  • Employed thematic analysis to identify recurring themes influencing ADAS disuse.
  • Examined influences across three domains: Driving task, Human factors, and Environment.

Main Results:

  • Key themes influencing disuse include discomfort with system aggressiveness, lack of trust in detection, and incompatibility with driving styles.
  • Environmental complexities (e.g., construction zones, pedestrian areas) and legal/moral responsibility also contribute to disengagement.
  • Drivers' sense of control, knowledge, and trust significantly impact their interaction with ADAS.

Conclusions:

  • Adaptive, user-centered ADAS designs are needed, focusing on trust, transparency, and context-sensitive behaviors.
  • Addressing barriers to ADAS use can lead to safer and more consistent adoption.
  • Improved ADAS design can foster driver confidence and facilitate integration into future mobility solutions.