James L. Szalma
Applied Experimental and Human Factors
|
Assistant Professor
Office: Psychology Building Suite 320 Room 351 Phone: 407-823-0920
Fax: 407-823-5862
Email: jszalma@mail.ucf.edu |
Recent Publications
- Szalma, J.L. (2009). Individual differences in performance, workload, and stress in sustained
attention: Optimism and pessimism. Personality and Individual Differences, 47, 444-451.
- Szalma, J.L. (2009). Individual differences in human-technology interaction: Incorporating
variation in human characteristics into human factors research and design. Theoretical Issues in Ergonomics Science, 10, 381-397.
- Szalma, J.L. (2008). Individual differences in stress reaction. In: P.A. Hancock and J.L. Szalma (eds.), Performance under stress (pp. 323-357). Hampshire, UK: Ashgate.
- Oron-Gilad, T., Szalma, J.L., Stafford, S.C., & Hancock, P.A. (2008). The workload and
performance relationship in the real world: A study of police officers in a field shooting exercise. International Journal of Occupational Safety and Ergonomics, 14, 119-131.
- Szalma, J.L., Hancock, P.A., Dember, W.N., & Warm, J.S. (2006). Training for vigilance:
The effect of KR format and dispositional optimism and pessimism on performance and stress. British Journal of Psychology, 97, 115-135.
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.
|
