The success of a research laboratory is critically dependent on the quality of its people — both its permanent staff and its incoming graduate students. You can learn about these people on the page below.
Greg A. Jamieson received Bachelor’s of Science degrees in Mechanical Engineering and Psychology (with Distinction) from the University of Illinois at Urbana-Champaign in 1996. Following a brief internship at the Battelle Seattle Research Center, he joined the Cognitive Engineering Laboratory (CEL) at the University of Toronto in pursuit of his MASc degree, which he obtained in 1998. During 1998-1999, Greg was a Research Associate at Honeywell Labs in Minneapolis, Minnesota. He returned to CEL in 1999 as a PhD Candidate while simultaneously working as a Research Scientist for Honeywell Labs. Greg completed his PhD in 2002 and joined the faculty of the Department of Mechanical and Industrial Engineering as an Assistant Professor. He was granted tenure and promoted to Associate Professor in July, 2007.
In 2012, Greg was named Clarice Chalmers Chair in Engineering Design by the Department of Mechanical and Industrial Engineering. He is the first professor in the Industrial Engineering discipline to hold this distinction. He takes an active role in integrating design thinking throughout the undergraduate program and seeks to emphasize design in all aspects of his academic work.
Greg’s research program addresses theoretical, empirical, and applied issues in human-automation interaction. Projects focus on the analysis of cognitive work and the design of representation aids to support human operators in complex systems. Past and current domains of interest include process control (petroleum refining, nuclear and hydro-electric power systems, and municipal water distribution), combat identification, natural resource extraction and sustainable energy systems.
Justin G. Hollands received his Bachelor of Arts degree in Psychology with Honours) from the University of Waterloo in 1986, and his Master’s degree in Psychology, with a specialization in Human Factors, from the University of Guelph in 1988. In 1993, he received his PhD in Psychology from the University of Toronto. He was a Canadian Government Laboratory Visiting Fellow at the Defence and Civil Institute of Environmental Medicine (now Defence Research and Development Canada – Toronto (DRDC Toronto)) from 1993 to 1994. In August 1994, Justin joined the faculty of the Department of Psychology at the University of Idaho, where he served until 1999, heading the Human Factors Graduate Program. In 1999, Justin returned to DRDC Toronto and accepted a position as a Defence Scientist. He led the Human-Computer Interaction Group from 2003-2006, served as Head of the Human Systems Integration Section at DRDC Toronto from 2006-2010, and was Acting Chief Scientist for DRDC Toronto in 2008. He currently serves as Senior Advisor to the Human Systems Integration Section at DRDC Toronto.
Justin is Adjunct Associate Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto, where he is also an Associate Member of the School of Graduate Studies. He is an Associate Editor of Ergonomics in Design.
Justin has authored or co-authored over 50 scientific articles and is co-author of Engineering Psychology and Human Performance (3rd Ed.), with Christopher Wickens. He also co-authored the 4th Edition of this book, with Chris, Raja Parasuraman, and Simon Banbury.
Justin has an extensive background in the human factors of display design, spatial cognition, perception and psychophysical scaling, information visualization, and cognitive ergonomics. He believes that the empirical evaluation of information display and visualization methods is necessary to advance the science of human factors engineering. He is interested in the development of intelligent interfaces that are structured in terms of the operator’s task, dynamically provide task-relevant information and augment human cognition, and responsively adapt to changes in the work environment and the operator’s behavior. Justin is interested in the development, assessment, and improvement of such interfaces.
Justin is also interested in the related topic of quantitative modeling techniques to predict human performance. His psychophysical work on proportion judgments serves as one example, but he is interested in developing new models for a range of tasks, including both continuous tasks such as vehicular navigation, and more discrete decision making domains. Beyond their scientific value, human performance models serve as a useful tool for the human factors practitioner. Recently, Justin has developed an interest in broader conceptual approaches to human factors engineering, including especially the various forms of interface compatibility.