James L. Szalma
Applied Experimental and Human Factors
Recent Publications
- Conway, G., Szalma, J. L., & Hancock, P. A. (2007). A quantitative meta-analytic examination of whole-body vibration effects on human performance. Ergonomics, 50(2), 228-245.
- Hancock, P. A., Mouloua, M., Gilson, R., Szalma, J., & Oron-Gilad, T. (2007). Provocation: Is the UAV control ratio the right question? Ergonomics in Design, 15(1), 7, 30-31.
- Hancock, P. A., Ross, J. M., & Szalma, J. L. (2007). A meta-analysis of performance response under thermal stressors. Human Factors, 49, 851-877.
- Hancock, P. A., & Szalma, J. L. (2007). Stress and neuroergonomics. In: R. Parasuraman and M. Rizzo (Eds.), Neuroergonomics: The brain at work (pp. 195-206). Oxford: Oxford University Press.
- Szalma, J. L., & Hancock, P. A. (2007). Task loading and stress in human-computer interaction: Theoretical frameworks and mitigation strategies. In: J. A. Jacko and A. Sears (Eds.), Handbook for human-computer interaction in interactive systems, 2nd Ed. (pp. 115-132). New York: Erlbaum Taylor & Francis Group.
View Full Curriculum Vita
James Szalma is an assistant professor in the psychology department at the University of Central Florida. He received a B.S. in Chemistry from the University of Michigan in 1990 and an MA in Applied Experimental/Human Factors psychology in 1997 from the University of Cincinnati. He received a Ph.D. in Applied Experimental/Human Factors psychology in 1999 from the University of Cincinnati. His primary research interests include human performance of cognitively demanding signal detection tasks, and the workload and stress associated with cognitive performance. He is also interested in the individual differences that contribute to variation in performance and stress response. His lab, the Performance Research Laboratory (PERL), is currently investigating how operator characteristics and task characteristics interact to influence performance in systems utilizing adaptive automation, as well as the validity of Fuzzy Signal Detection Theory for performance evaluation in threat detection.
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