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Kevin Durkee

Kevin Durkee

Senior Scientist
Lead, Adaptive Augmentation Technologies

Kevin specializes in human performance measurement, physiological sensing for cognitive state assessment, and human-machine teaming issues for complex systems. Kevin has served as Principal Investigator and Program Manager for a variety of research and development programs across the Air Force Research Laboratory (AFRL), NASA, and Naval Sea Systems Command (NAVSEA), in which he leads system development efforts through requirements gathering, design conception, engineering sprint cycles, and test/evaluation. Prior to joining Aptima, Kevin worked at the University of Illinois’ Institute for Health Research & Policy and the Defense Manpower Data Center focused on developing measurement instruments and planning/execution of large-scale data collection efforts.

Kevin holds an M.A. in Human Factors and Applied Cognition from George Mason University and a B.A. in Psychology from DePaul University.

Notable Publications

Durkee, K., Pappada, S., Ortiz, A., Feeney, J., & Galster, S. (2015). System Decision Framework for Augmenting Human Performance Using Real-Time Workload Classifiers. Proceedings of the 5th Annual IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, Orlando, FL.

Durkee, K., Geyer, A., Pappada, S., Ortiz, A., & Galster, S. (2013). Real-Time Workload Assessment as a Foundation for Human Performance Augmentation, in D.D. Schmorrow and C.M. Fidopiastis (Eds.): Proceedings of HCI International 2013, Springer-Verlag Berlin Heidelberg, 279–288.

Durkee, K., Shabarekh, C., Jackson, C., & Ganberg, G. (2011). Flexible autonomous support to aid context and task switching. Proceedings of the IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, Miami, FL.

Durkee, K., Paley, M., Kudzma, K., & Reiners, D. (2010). Evaluation of 2D and 3D displays to validate the integration of human performance analysis methods into submarine acquisitions. Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting, San Francisco, CA.

Squire, P. N., Barrow, J. H., Smith, C. F., Durkee, K., Moore, J. C., & Parasuraman, R. (2010). Runway Incursion Monitoring, Detection and Alerting System (RIMDAS): A proposed system design for reducing runway incursions. Ergonomics in Design, 18(2), 13-17.

For more information about Mr. Durkee’s publications, please contact

Additional Publications