432 NEWELL DR
Gainesville, FL 32611
Title: Human-Systems Engineering Research: Integrating Human Performance Modeling, Data Analytics, and Behavioral Experiments
Human-systems engineering research traditionally relies on human-subject experiments where costly and time-consuming efforts are required. To minimize these limitations, computational human performance models and data analytics can be used as alternatives of experiments. Human performance models generate digital simulations of human performance and examine the underlying psychological and physiological mechanisms to help understand and predict human performance. Data analytics, such as machine learning algorithms, can help analyze and predict human behavior patterns drawn from experimental and naturalistic study data. This seminar describes my work of integrating human performance modeling, data analytics, and behavioral experiments in two studies on transportation human factors. In the first study, human performance modeling and behavioral experiments are used to predict human behavior in in-vehicle stimulus-response tasks. In the second study, data analytics and Michigan crash report data are used to investigate risk factors associated with the severity of car crash injury. In the last segment of the seminar, my plans for research, funding, collaboration, and teaching will be presented.