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Assessing drivers' response during automated driver support system failures with non-driving tasks.

Sijun Shen1, David M Neyens1

  • 1Department of Industrial Engineering, Clemson University, Clemson, SC 29630, USA.

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|April 30, 2017
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Summary

Drivers supervising automated vehicles responded slower to critical events, especially when distracted by non-driving tasks. This highlights challenges in evaluating driver performance with advanced driver-assistance systems.

Keywords:
Adaptive cruise controlDrivers' glancesLane keeping systemNon-driving tasks

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Area of Science:

  • Human-Computer Interaction
  • Automotive Engineering
  • Cognitive Psychology

Background:

  • The increasing prevalence of automated driver support systems shifts driver roles from active operation to supervision.
  • Understanding driver interaction with automation is crucial for evaluating responses to safety-critical events.

Purpose of the Study:

  • To investigate driver responses to safety-critical events in automated vehicles while engaged in non-driving tasks.
  • To compare driver performance with and without automation, and with and without non-driving tasks.

Main Methods:

  • A driving simulator study involving 48 participants.
  • Two levels of automation: manual driving vs. adaptive cruise control (ACC) and lane keeping (LK) systems.
  • Two levels of non-driving tasks: watching a movie vs. no non-driving task.

Main Results:

  • Drivers using automated systems (ACC/LK) showed impaired responses (reaction time, lane departure duration, steering angle) compared to manual driving.
  • Engaging in non-driving tasks further degraded driver responses to safety-critical events in the automated condition.

Conclusions:

  • Driver responses to safety-critical events are slower in automated driving conditions, particularly when performing non-driving tasks.
  • Traditional performance metrics may be insufficient for evaluating driver supervision of autonomous systems; new variables are needed.