Psychophysiological Indicators of Aviator Flight Performance for Operator State Monitoring
Abstract
Ongoing work by the U.S. Army Aeromedical Research Laboratory (USAARL) is examining whether psychophysiological measures can reliably detect changes in operator state. If able to identify psychophysiological measures capable of reliable operator state changes, these measures could be used in operator state monitoring (OSM) of future aircraft. The present study aimed to extend previous studies completed at USAARL by evaluating whether the same measures that were previously shown to be indicators of workload could be replicated, and establish the degree to which they correlate with performance changes. To do so, individualized flights were created to control for individual differences in response to workload changes. Eight Army aviators completed the study. Workload was individually manipulated during a simulated flight scenario. Psychophysiological, subjective, and performance data were all collected to measure response to the workload manipulations. Paired samples t-tests and Pearson's correlations were performed to evaluate the data. Both demonstrated, similar to previous studies, that EEG metrics remain promising candidates for OSM.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 10, 2021
- Accession Number
- AD1137968
Entities
People
- Amanda M. Kelley
- Carmelo Morabito
- Jared Basso
- Kathryn A. Feltman
- Kyle Bernhardt
Organizations
- Oak Ridge Institute for Science and Education
- United States Army