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KMDI Seminar – Designing Feedback to Induce Safer Driving Behaviour
Mon, March 7, 2016 @ 3:30 pm - 4:30 pm
PRESENTER: Dr. Winnie Chen \ Human Factors & Applied Statistics Lab
When: Monday, March 7, 2016 \ 3:30 – 4:30 PM
Where: Room 728, Bissell Building, 140 St. George Street
*Join us afterwards for refreshments during the KMDI Coffee Club from 4:30 – 5:30 PM
In an era of mobile technology and connected vehicles, how do we discourage unsafe distractions and induce safer driving behaviours? This talk will begin with an overview of our research on understanding automobile drivers: modelling visual information sampling behaviour under occlusion, and investigating individual differences in susceptibility to involuntary and voluntary driver distraction. The second part of this talk will present some of our current research on driver feedback for mitigating unsafe driving behaviour. We assessed the efficacy of using gamification in driver feedback for mitigating unsafe visual manual distraction in a simulator study. We also conducted a naturalistic driving study comparing the use of financial incentive with providing post-drive, information-based feedback to improve speed limit compliance. Findings from these studies have implications for designing safer in-vehicle systems and effective feedback mechanisms tailored towards individual drivers.
Winnie Chen is a postdoctoral researcher at the Human Factors & Applied Statistics Lab at the University of Toronto. Winnie holds a Ph.D. degree in human factors engineering from the Department of Mechanical & Industrial Engineering at the University of Toronto, and received her BASc and MASc in Systems Design Engineering from the University of Waterloo. Winnie’s research interests are in understanding and improving human-technology interactions in dynamic, complex systems using advanced analytical methods. She has worked on research and consulting projects in multiple domains, including transportation, healthcare, defence, and aerospace. Winnie has also taught human-centred design and research methods at the University of Toronto and at Ryerson University.