Lead Scientist, Performance Augmentation Systems Division
Lead, Adaptive Augmentation Technologies Capability
Kevin specializes in human performance measurement, physiological sensing for cognitive state assessment, and designing advanced human-machine teaming concepts for human performance augmentation. In addition to serving as lead scientist for Aptima’s Performance Augmentation Systems division, Kevin also leads the company’s Adaptive Augmentation Technologies capability, developing innovative solutions that adapt based on real-time assessment of human functional state and performance. Kevin has served as Principal Investigator (PI) and Program Manager (PM) for a variety of research and development programs across the Air Force Research Laboratory, Naval Sea Systems Command, Naval Air Systems Command, and NASA. As both a PI and PM, he has led system development efforts requirements gathering and design conception, through engineering sprint cycles and test and 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 performing large-scale data collection efforts.
Kevin holds a MA in Human Factors and Applied Cognition from George Mason University and a BA in Psychology from DePaul University.
Kiehl, Z., Durkee, K., Halverson, K., Christensen, J., & Hellstern, G. (2019). Transforming Work Through Human Sensing: A Confined Space Monitoring Application. Structural Health Monitoring, 19(1), 186-201.
Durkee, K., Hiriyanna, A., Pappada, S., Feeney, J., & Galster, S. (2016). Multi-Model Approach to Human Functional State Estimation. Proceedings of Human Computer Interaction International, Los Angeles, CA.
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 Kevin Durkee’s publications, please contact firstname.lastname@example.org.