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Tracking intermediate performance of vigilant attention using multiple eye metrics.

Takashi Abe1,2,3, Kazuo Mishima2,3,4, Shingo Kitamura3

  • 1Astronaut and Operation Control Unit, Human Spaceflight Technology Directorate, Japan Aerospace Exploration Agency, Tsukuba, Ibaraki, Japan.

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Summary

New eye-tracking methods detect subtle vigilance deficits before severe impairment occurs. This technology can help prevent accidents caused by reduced attention, even at intermediate levels.

Keywords:
Bayesian inferencePERCLOSbiomarkersblinkcomputerized analysiseye movementseyelid movementsfatigueneurobehavioral performancepupilsleep deprivation

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Area of Science:

  • Neuroscience
  • Human Factors Engineering
  • Ophthalmology

Background:

  • Vigilance deficits contribute significantly to accidents and errors.
  • Current detection methods for vigilance impairment only identify severe stages like eyelid closure, which is often too late for prevention.
  • There is a need for techniques to detect intermediate levels of vigilance impairment.

Purpose of the Study:

  • To identify ocular biometrics indicative of intermediate vigilance impairment.
  • To develop a novel technique for detecting a range of vigilance attention (VA) deficits.
  • To create an algorithm capable of tracking intermediate VA levels during prolonged wakefulness and sleep deprivation.

Main Methods:

  • Sixteen healthy adults underwent continuous monitoring for 38 hours.
  • Participants performed the Psychomotor Vigilance Test (PVT) to track vigilance.
  • Eye metrics were recorded simultaneously, with a focus on microsaccade prevalence.

Main Results:

  • A novel marker, microsaccade prevalence, was identified as a measure of VA when eyes are open.
  • Microsaccade prevalence decreased with sleep deprivation and increased time-on-task.
  • A new algorithm, PVT-E, integrated microsaccades and other eye metrics to estimate PVT performance and track intermediate VA levels.

Conclusions:

  • The novel algorithm, PVT-E, successfully tracks intermediate vigilance attention deficits (300-500 ms reaction times) previously undetectable.
  • This eye-tracking approach offers a promising method for early detection of vigilance impairment.
  • PVT-E has the potential to reduce human-error-related accidents by identifying vigilance deficits before they become critical.