A Systematic Literature Review of Operator State Detection using Physiological Measures
Abstract
A systematic literature review was conducted to examine the literature (published between 2010 and 2021) surrounding the use of physiological measures to identify operator's cognitive state. operator states of interest were those that pose significant risks to Army aviators. Specifically, workload, fatigue, inattention, stress, and hypoxia. Additionally, studies that took place in applied and/or mobile contexts were sought in order to ensure the greatest likelihood of operationally relevant work. From this review, thirty-two eligible studies were identified. From these studies, it was determined that workload, fatigue, and inattention show the greatest promise for detection through physiological metrics. However, this is in part due to number of available studies. For instance, only one study was eligible where hypoxia was the cognitive state of interest. Additionally, based on the papers reviewed, EEG and eye metrics appear the most promising for identifying these various operator cognitive states. Further work is needed to validate some of these measures within true operational contexts. Specifically, based on the literature to-date, it is unknown how well some of these measures would hold up in a rotary-wing environment, where the sensors would be exposed to vibration and extreme temperatures. Further work is needed to determine whether the findings from these papers generalize to a larger population.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 08, 2022
- Accession Number
- AD1188582
Entities
People
- Kathryn A. Feltman
- Michelle J. Duffy
Organizations
- Oak Ridge Institute for Science and Education
- United States Army Aeromedical Research Lab