Toronto Region Computer Human Interaction
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Cognitive Distractions in Driving
16 Oct 2013
Bahen Room 025 (lower ground), 40 St. George Street
No RSVP. Come and see what ToRCHI is all about, and if
for $20/year membership.
David Canella, Masters student in U of T
Interactive Media Lab
Human multitasking performance has been an area of active investigation for several decades, with recent emphasis on applications in automotive contexts. Rapidly expanding in-vehicle technologies and the continued use of personal electronics while driving make such investigations more relevant than ever. Research in this area has benefited from both predictive models and from theories concerning high-level cognitive functioning. In this presentation, David Canella will review research conducted by the Interactive Media Lab on the topic of dual-task performance in automotive contexts. He will touch upon relevant literature, methodology, and results related to an investigation into factors that mediate performance between a primary driving-synonymous task and a secondary non-driving verbal task. This discussion will provide insight into the potential implication of individual cognitive abilities in dual-task performance.
David Canella is currently completing a Master of Applied Science degree in Industrial Engineering at the University of Toronto and is a member of Dr. Mark Chignell’s Interactive Media Lab. His research focuses on Human Factors in transportation, specifically in the areas of central executive functioning and automotive human-machine interactions. David is a graduate of McGill University with a Bachelor of Science in Psychology. He has been previously affiliated with Dr. Thomas R. Shultz’s Laboratory of Natural and Simulated Cognition at McGill University, during which time he investigated the effects of Bayesian learning on the evolution of ethnocentrism using computer simulations.