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Thursday, March 29, 2012
noon- 1:15 p.m.
Brickyard 210, Tempe campus

Human performance modeling is a growing and challenging area in human factors and cognitive engineering. It explores the quantitative mechanisms in human-machine interaction and integrates behavioral experiments, mathematical models and computer simulation models to predict human performance. In this presentation, we will discuss how to build an engineering model of the human cognitive system and then quantify human performance and mental workload in transcription typing, visual manual tracking and driving using several computational methods including queuing network modeling methods. Future research topics including application of these modeling approaches in system design and safety will also be proposed.

Changxu (Sean) Wu received his Ph.D. degree in industrial and operational engineering from the University of Michigan (2007). The main theme of his current research is the development of computational models of human performance and mental workload, addressing both fundamental and neurological issues of human behavior and human cognition with their applications in designing intelligent transportation systems.

Dr. Wu is the Associated Editors for two journals in human factors: IEEE Transactions on Intelligent Transportation Systems and Behavior and Information Technology. Dr. Wu’s work has been funded by NSF, FAA, University of Michigan Transportation Research Institute, and SUNY-Buffalo. He has published more than 20 journal papers in leading journals in both psychology, human factors and engineering areas, including Psychological Review (Impact Factor: 9.02), IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Men, Systems and Cybernetics (Part A), the International Journal of Human-Computer Studies, as well as several other journals.

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