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Characterizing alterations in attention networks under high mental workload.

Lin Wu1, Anping Ouyang1, Xu Tang1

  • 1Department of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.

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High mental workload (HMW) impairs attention networks, increasing mental fatigue and stress. This study used a cognitive task to induce HMW, revealing significant changes in attention, eye movements, and subjective ratings, impacting task performance.

Keywords:
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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human Factors Engineering

Background:

  • High mental workload (HMW) is prevalent in modern occupations, potentially depleting cognitive resources.
  • Attention is a critical cognitive function susceptible to HMW, leading to performance deficits.
  • Understanding attention network alterations under HMW is crucial for developing effective interventions.

Purpose of the Study:

  • To investigate the specific changes in the attention network under induced high mental workload.
  • To evaluate the effectiveness of the 1-back Stroop (BS) cognitive task in inducing HMW.
  • To identify behavioral, subjective, and eye-tracking indicators sensitive to HMW.

Main Methods:

  • Participants from a medical university were recruited using convenience sampling.
  • High mental workload (HMW) was induced using the 1-back Stroop (BS) cognitive task.
  • The Attention Network Test-Revised (ANT-R), eye tracking, and visual analog scale (VAS) were used for assessment before and after HMW induction.

Main Results:

  • Subjective ratings indicated increased mental fatigue, effort, stress, boredom, and mind wandering post-HMW induction.
  • Behavioral ANT-R results showed decreased alert efficiency and increased moving+engaging, flanker, and location conflict.
  • Eye tracking revealed increased average saccade duration and blink count under HMW.

Conclusions:

  • The BS cognitive task effectively induces HMW, validated by subjective and objective measures.
  • Significant alterations in attention network efficiency, subjective experience, and eye movements characterize the HMW state.
  • Findings provide a foundation for developing assessment and intervention strategies for HMW-related cognitive changes.