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Related Experiment Videos

Gaze doesn't always lead steering.

Esko Lehtonen1, Otto Lappi2, Noora Koskiahde3

  • 1Department of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.

Accident; Analysis and Prevention
|October 8, 2018
PubMed
Summary
This summary is machine-generated.

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Drivers use a gaze-leads-steering strategy when driving and performing secondary visual tasks. This strategy adapts based on target location, influencing how drivers update visual information for steering corrections.

Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Automotive Engineering

Background:

  • Driving requires continuous visual attention to the road.
  • Drivers often engage in secondary tasks, impacting driving performance.
  • Gaze behavior typically precedes steering adjustments during curve negotiation.

Purpose of the Study:

  • To investigate if drivers maintain the gaze-leads-steering strategy when time-sharing driving with a visual secondary task.
  • To examine how different visual target locations affect gaze and steering coordination.
  • To understand the role of predictive processing in driving gaze strategies.

Main Methods:

  • 14 participants drove an instrumented car on a motorway while performing a visual secondary task.
  • Eye-tracking technology recorded gaze behavior.
Keywords:
DistractionEye movementsIntermittencyPredictive processingSteering

Related Experiment Videos

  • Vehicle CAN bus data captured steering corrections.
  • Both in-car and external visual targets were used at varying locations.

    • Main Results:

    • Drivers frequently employed a gaze-leads-steering strategy, with glances preceding steering by 200-600 ms.
    • A reverse strategy (steering preceding glances) was observed when targets were less eccentric.
    • The findings suggest gaze strategy is modulated by the quality and quantity of peripheral visual information.

    Conclusions:

    • The gaze-leads-steering strategy is adaptable and influenced by the demands of secondary tasks and visual target characteristics.
    • Predictive processing models can explain the observed gaze-steering dynamics.
    • Findings have implications for developing advanced driver-assistance systems and understanding driver behavior models.