Key result
An integrated multi-measure approach using EEG, heart rate variability, and subjective ratings demonstrated reliable within-subject consistency (mean ICC 0.59-0.85) for monitoring pilot workload.
Why the study?
Managing cognitive demand is critical for aviation safety, but accurately assessing pilot workload during complex flight maneuvers remains challenging.
Population
Six experienced U.S. Army rotary-wing pilots
Design
Simulation study evaluating physiological and subjective measures during high-workload flight maneuvers
Authors
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Supports integrated pilot workload monitoring; leaves open validation in operational settings before broader adoption.
Observational (n=6)
Effect estimate: mean ICC 0.59-0.69
An integrated multi-measure approach using EEG, heart rate variability, and subjective ratings is feasible and reliable for continuously monitoring real-time cognitive workload in pilots.
D’Alessandro et al. (2024) conducted an observational in Cognitive workload (n=6). High-workload flight scenarios vs. Lower demand periods was evaluated on Within-subject consistency of EEG engagement indices and heart rate variability metrics (mean ICC 0.59-0.69). An integrated multi-measure approach using EEG, heart rate variability, and subjective ratings demonstrated reliable within-subject consistency (mean ICC 0.59-0.85) for monitoring pilot workload.
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