@article{ref1,
title="Real-time assessment of operator state in air traffic controllers using ocular metrics",
journal="Proceedings of the Human Factors and Ergonomic Society annual meeting",
year="2017",
author="Kuo, Jonny and Lenné, Michael G. and Myers, Rama and Collard-Scruby, Anna and Jaeger, Courtney and Birmingham, Chris",
volume="61",
number="1",
pages="257-261",
abstract="This study examined the utility of continuous operator state monitoring in predicting air traffic control officer (ATCO) workload and fatigue. Participants (N=8) were observed in live operational air traffic control environments for 60-minute periods. ATCO state was assessed using a real-time, computer vision-based system which tracked operator gaze and pupil diameter. Workload and fatigue were also assessed via the adapted Bedford Workload Scale and Samn-Perelli Fatigue Scale, respectively. Standard deviation of gaze was a significant predictor of both max and mean workload, showing a strong negative relationship with both subjective measures. Pupil diameter showed a significant positive relationship with operator fatigue. Our findings demonstrate the utility of continuous ocular metrics of workload and fatigue in operational environments.<p /><p>Language: en</p>",
language="en",
issn="2169-5067",
doi="10.1177/1541931213601547",
url="http://dx.doi.org/10.1177/1541931213601547"
}