John specializes in the development and delivery of computer-based automated training and assessment systems. His primary interests are in cognitive modeling, decision making, and automated assessment feedback. John applies his expertise to simulation-based training and assessment systems for domains including information operations, leadership development, and pilot training. His work includes formal knowledge representations, expert systems, and training using gaming environments.
John received a Ph.D. in Applied Experimental Psychology from The Catholic University of America, an M.S. in Software Engineering from National University, and a B.A. in Computer Science from the State University of New York at Oswego. He is a member of the American Psychology Association and the Association of Computing Machinery.
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.
Beltz, B. C., Keeney, M. J., & Feeney, J. J. (2008). A general framework for cross-cultural interactions in virtual environments. 17th Annual Behavioral Representation in Modeling and Simulation Conference, Providence, RI.
Haimson, C., Feeney, J., Kramer, D., Weston, M., Rustici, M., Cherng, M., & Chess, B. (2007). Integrating team experiential learning into SCORM-conformant training. Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC). Arlington, VA: NDIA.
For more information about Dr. Feeney’s publications, please contact firstname.lastname@example.org.