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Factors Influencing Trust in Advanced Driver Assistance Systems for Current Users.

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Area of Science:

  • Human-computer interaction
  • Automotive engineering
  • Cognitive psychology

Background:

  • Advanced Driver Assistance Systems (ADAS) are increasingly common in vehicles.
  • Understanding driver trust is crucial for safe and effective ADAS adoption.
  • Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA) are widely used ADAS features.

Purpose of the Study:

  • To investigate factors influencing driver trust in ADAS.
  • To determine the relationship between objective knowledge, self-reported understanding, and trust in ADAS.
  • To identify predictors of trust in systems like ACC and LKA.

Main Methods:

  • Survey of 369 drivers with experience in ACC and LKA.
  • Assessment of trust in ADAS, objective knowledge of limitations, self-reported understanding, and technology propensity.
  • Regression analysis to identify significant predictors of trust.

Main Results:

  • Self-reported understanding of ADAS, not objective knowledge, predicted driver trust.
  • Drivers often lacked awareness of ADAS limitations.
  • Propensity to trust technology was a significant predictor of ADAS trust.

Conclusions:

  • Driver trust in ADAS is primarily influenced by their perceived understanding, not their actual knowledge.
  • Educational materials should address knowledge gaps and manage expectations, especially for drivers with a high propensity to trust.
  • Targeted training can foster appropriate trust levels for ADAS use.