Dr. Paul Green is a Research Professor in the Driver Interface Group at the University of Michigan Transportation Research Institute and both a Research Professor and Adjunct Professor of Industrial and Operations Engineering.  He teaches the courses on automotive human factors, human-computer interaction, and is the leader of the Human Factors Engineering Short Course, the flagship continuing education course in the field, now in its 57th year.  He is a Board-certified Human Factors Professional.
His research has concerned driver interfaces, driver workload and distraction, and related topics.  Much of his current work relates to predicting driver performance, research that makes extensive use of instrumented cars and a driving simulator.  He is the lead author of 4 SAE Recommended Practices that estimate task times for using in-vehicle interfaces and define driving performance measures (e.g., SAE J2944).  He is a fellow of the Human Factors and Ergonomics Society (and a past President and current member of the Executive Council), a fellow in the Institute of Ergonomics and Human Factors, a member of the member of the Society of Automotive Engineers, the User Experience Professionals Association, the Society for Information Display, and the Board of Directors of the Board of Certification in Professional Ergonomics.

The Driver Interface Group assists in developing and evaluating driver-operated equipment, controls, and devices in motor vehicles to make these systems safe and easy to use. Working in partnership with vehicle manufacturers, the group evaluates the design and usability of vehicle controls, displays, and information systems. Researchers in the Driver Interface Group also conduct research to quantify driver workload and evaluate driver distraction. The team is particularly interested in driver distraction as it relates to using devices such as navigation systems or understanding vehicle displays and manipulating controls while driving. The eight-member Driver Interface team typically consists of several university students who conduct much of the research using UMTRI’s driving simulator as well as instrumented vehicles.