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Temporal Dashboard Gaze Variance (TDGV) Changes for Measuring Cognitive Distraction While Driving.

Cyril Marx1, Elem Güzel Kalayci1, Peter Moertl1

  • 1Virtual Vehicle Research GmbH, 8010 Graz, Austria.

Sensors (Basel, Switzerland)
|December 11, 2022
PubMed
Summary

Detecting driver cognitive distraction is challenging. This study shows changes in temporal dashboard gaze variance (TDGV) can indicate cognitive distraction, achieving 68-81% accuracy.

Keywords:
behavioral regularitycognitive distractiondriver monitoringeye trackinggaze variance

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Automotive Safety

Background:

  • Driver monitoring systems struggle to detect cognitive distraction.
  • Cognitive distraction impairs driving performance and increases accident risk.
  • Existing methods often lack theoretical grounding for cognitive distraction detection.

Purpose of the Study:

  • To develop and validate a theory-driven approach for detecting cognitive distraction in manual driving.
  • To investigate the utility of temporal gaze behavior, specifically temporal dashboard gaze variance (TDGV), as an indicator of cognitive distraction.
  • To establish the accuracy of this novel detection method in both simulated and real-world driving conditions.

Main Methods:

  • Developed a cognitive distraction detection method based on temporal control theories.
  • Focused on analyzing changes in the temporal variance of dashboard gaze behavior (TDGV).
  • Validated the method through field and simulator studies using an auditory continuous performance task to induce cognitive distraction.

Main Results:

  • The developed method achieved a general accuracy ranging from 68% to 81%.
  • Accuracy was dependent on the quality of the individual baseline measurement.
  • Demonstrated that changes in TDGV are a significant behavioral indicator of cognitive distraction.

Conclusions:

  • The theory-driven approach offers a sophisticated method for cognitive distraction detection.
  • Temporal dashboard gaze variance (TDGV) is a viable behavioral indicator for cognitive distraction.
  • This research advances driver monitoring systems by providing a theoretically grounded and validated detection technique.