CELCognitive Engineering Laboratory
A leading center for cognitive engineering research, training and solutions.
The Cognitive Engineering Laboratory (CEL) conducts applied research on how to introduce information technology into complex work environments so that the prerequisites for an effective feedback control system can be satisfied.
The CEL, the Human Factors and Applied Statistics Laboratory (HFASt), the Ergonomics in Teleoperation and Control Laboratory (ETC), and the Interactive Media Lab (IML), comprise the University of Toronto's Human Factors Research Group. All four labs are located in the Department of Mechanical and Industrial Engineering.
This website provides a comprehensive view of the past and present work conducted at the CEL and the people responsible for its success. Any questions or comments on the material presented here can be emailed to Dr. Greg A. Jamieson, Director of the Cognitive Engineering Laboratory.
Current Projects
AR-WAYFINDING: An Augmented Reality Aid for Wayfinding
Even skilled users of well-designed navigation aides must switch their attention between the map and the world while wayfinding. This attention-switching has negative impacts on task performance.
We will develop new digital wayfinding support technologies that minimize the need for, and negative effects of, attention-switching during wayfinding by closing the gap between the navigation aid and the operating environment.
Triggering Adaptive Changes in Mobile Process Operations
Developing novel use cases for mobile implementation of Distributed Control System (DCS) by applying adaptive automation to support knowledge workers. We will investigate the impact of adaptive human-machine interfaces on task efficacy, ease of use, operator acceptance, and development and maintenance of operator expertise.
FocalPoint: Adaptive Level of Detail for Network Maps and Attack Graphs
Developing an adaptive system for determining appropriate level of detail (LOD) views for network systems and attack graphs, in order to improve situation awareness under cyber attack conditions.