Human Performance Modeling and its Applications in Human-Machine Systems Design
Date: 2020/02/27 - 2020/02/27
Academic Seminar: Human Performance Modeling and its Applications in Human-Machine Systems Design
Speaker: Prof. Changxu (Sean) Wu, University of Arizona
Time: 9 a.m., February 27th, 2020 (Thursday)
Abstract
This research seminar introduces the major research activities at the Cognitive System at University of Arizona, focusing on human cognition/performance modeling with its applications in intelligent human machine systems design (e.g., driver workload modeling and management, speeding prediction, V2V &V2I human-machine system design). Human performance modeling is a growing and challenging area in human factors and cognitive systems engineering. It builds computational models based on the fundamental mechanisms of human cognition and human-system interaction, employs both mathematical and discrete event simulation methods in industrial engineering, and predicts human performance and workload in real-world systems. It can be used to design, improve, and evaluate intelligent systems with human in the loop. Current and future research topics will also be introduced.
Biography
Dr. Changxu (Sean) Wu received his Ph.D. degree in Industrial and Operational Engineering from the University of Michigan-Ann Arbor (2007). He is a full professor of Department of Systems and Industrial Engineering, University of Arizona, starting from August 2017. Dr. Wu directs the Cognitive System Lab at UA and he is interested in integrating cognitive science and engineering system design, especially modeling human cognition system with its applications in system design, improving transportation safety, promoting human performance in human-computer interaction, and inventing innovative sustainable and smart energy systems with human in the loop.
Dr. Wu has published over 124 papers in the field including 86 journal papers, 35 conference papers, 1 book chapter, and 2 patents in intelligent system design authorized. The journal papers include IEEE Transactions on Systems, Man, and Cybernetics (Part A), IEEE Transactions on Intelligent Transportations Systems, Psychological Review (Impact Factor: 9.02), ACM Transactions on Computer-Human Interaction, International Journal of Human-Computer Studies, as well as several other journals. He is the Chair of Human Performance Modeling Technical Group of Human Factors and Ergonomics Society. He is also Associate Editors for IEEE Transactions on Intelligent Transportations Systems, IEEE Transaction on Human-Machine Systems, and Behaviour & Information Technology. He received the Senior Researcher of the Year Award from the Dean of School the Engineering & Applied Sciences at SUNY Buffalo and Outstanding Student Instructor Award from the American Society of Engineering Education (ASEE). Dr. Wu trained his students in a solid and systematic manner in research and he has graduated 9 PhD students and most of them are working in research universities (e.g., Penn State U) or leading companies (e.g., General Motor).