Improving pilot mental workload evaluation with combined measures

Xiaoru Wanyan · Damin Zhuang · Huan Zhang

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Human-Automation Interaction and Safety Heart Rate Variability and Autonomic Control Sleep and Work-Related Fatigue

Abstract

Behavioral performance, subjective assessment based on NASA Task Load Index (NASA-TLX), as well as physiological measures indexed by electrocardiograph (ECG), event-related potential (ERP), and eye tracking data were used to assess the mental workload (MW) related to flight tasks. Flight simulation tasks were carried out by 12 healthy participants under different MW conditions. The MW conditions were manipulated by setting the quantity of flight indicators presented on the head-up display (HUD) in the cruise phase. In this experiment, the behavioral performance and NASA-TLX could reflect the changes of MW ideally. For physiological measures, the indices of heart rate variability (HRV), P3a, pupil diameter and eyelid opening were verified to be sensitive to MW changes. Our findings can be applied to the comprehensive evaluation of MW during flight tasks and the further quantitative classification.

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References

2012Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness 2003Evaluation of Subjective Mental Workload: A Comparison of SWAT, NASA‐TLX, and Workload Profile Methods 2002An Analysis of Mental Workload in Pilots During Flight Using Multiple Psychophysiological Measures 2005Evaluation of mental workload with a combined measure based on physiological indices during a dual task of tracking and mental arithmetic 2008Cardiovascular and eye activity measures as indices for momentary changes in mental effort during simulated flight 2008Workload assessment of computer gaming using a single-stimulus event-related potential paradigm 2003Inflight workload assessment: comparison of subjective and physiological measurements.2002A Comparative Study of Psychophysiological Reactions During Simulator and Real Flight

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2024Detecting and Predicting Pilot Mental Workload Using Heart Rate Variability: A Systematic Review

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