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Related Experiment Videos

Psychophysiological responses to changes in workload during simulated air traffic control

J B Brookings1, G F Wilson, C R Swain

  • 1Wittenberg University, Springfield, OH, USA.

Biological Psychology
|February 5, 1996
PubMed
Summary

This study assessed air traffic controller workload using the TRACON simulation. Increased traffic complexity and volume significantly impacted controller performance and physiological measures, highlighting the simulation

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Area of Science:

  • Human Factors
  • Cognitive Psychology
  • Aerospace Engineering

Background:

  • Air traffic control (ATC) is a complex, high-workload environment.
  • Understanding controller workload is crucial for aviation safety and efficiency.
  • Existing research often lacks comprehensive workload assessment tools.

Purpose of the Study:

  • To evaluate the effectiveness of the TRACON simulation in assessing air traffic controller workload.
  • To investigate the impact of traffic volume and complexity on controller workload.
  • To determine the sensitivity of various performance, subjective, and physiological measures to workload changes.

Main Methods:

  • Eight Air Force air traffic controllers (ATCs) participated in the study.
  • Participants performed tasks in the TRACON (Terminal Radar Approach Control) simulation.

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  • Workload was assessed using performance metrics, the NASA Task Load Index (TLX), and physiological measures (EEG, eye blink, heart rate, respiration, saccade).

    • Main Results:

    • Difficulty level significantly affected TRACON performance, TLX scores, eye blink rate, respiration, and EEG.
    • Traffic complexity, specifically flight ratios and aircraft types, influenced EEG measures.
    • Physiological and performance measures demonstrated differential sensitivity to workload manipulations.

    Conclusions:

    • The TRACON simulation is a valuable tool for studying air traffic controller workload.
    • Traffic complexity is a critical factor influencing ATC workload.
    • Multiple workload assessment measures are sensitive to changes in task demands in complex environments.