Event Title
Differentiating Active and Passive Fatigue with the Use Electroencephalography
Location
Memorial Union Lecture Bowl
Start Date
26-10-2018 9:00 AM
End Date
26-10-2018 9:15 AM
Description
Active fatigue results when operators must make constant perceptual-motor adjustments during high task demands. In contrast, passive fatigue results from operators executing little or no perceptual-motor adjustments during low task demands, similar to when automation is employed. The purpose of this study was to use electroencephalographic (EEG) indices of workload, engagement, and a candidate marker of strain under fatigue in conjunction with performance and subjective measures to differentiate active and passive fatigue states. Participants (N=84) performed a generalized flight simulator for 62 min either under active, passive, or control conditions. Passive fatigue was characterized by reduced EEG engagement and initially elevated and stable ratios of Fz theta to POz alpha power compared to active fatigue. Passive fatigue was characterized by reduced ratings of alertness and workload compared to active fatigue. A speed-accuracy performance trade-off was observed from pre to post fatigue induction. Results have implications for developing fatigue countermeasure technologies.
Differentiating Active and Passive Fatigue with the Use Electroencephalography
Memorial Union Lecture Bowl
Active fatigue results when operators must make constant perceptual-motor adjustments during high task demands. In contrast, passive fatigue results from operators executing little or no perceptual-motor adjustments during low task demands, similar to when automation is employed. The purpose of this study was to use electroencephalographic (EEG) indices of workload, engagement, and a candidate marker of strain under fatigue in conjunction with performance and subjective measures to differentiate active and passive fatigue states. Participants (N=84) performed a generalized flight simulator for 62 min either under active, passive, or control conditions. Passive fatigue was characterized by reduced EEG engagement and initially elevated and stable ratios of Fz theta to POz alpha power compared to active fatigue. Passive fatigue was characterized by reduced ratings of alertness and workload compared to active fatigue. A speed-accuracy performance trade-off was observed from pre to post fatigue induction. Results have implications for developing fatigue countermeasure technologies.