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Overreliance on Automated Vehicle Impedes Driver Performance. What To Do About It?

An article by the Science Times used research by the HFASt lab to highlight the overreliance on AV technology. Lead author, Dengbo He, noted that future automated vehicles should be designed with the driver’s attention in mind.   Link to article Link to study

‘A false sense of security’: Automated vehicle tech can impede driver performance, U of T study finds

A study by researchers Dengbo He, Dina Kanaan, and Professor Birsen Donmez at U of T’s Faculty of Applied Science & Engineering reveals some in-vehicle displays can lead to drivers being over-reliant on automated systems. The lead author of the study, Dengbo He, notes that AV technology gives drivers a false sense of security, which … Read More

U of T driver attention study could help cities turn the corner on road safety

To better understand vehicle accidents involving cyclists and pedestrians, researchers at U of T are working with the City of Guelph to study how drivers’ attention and gaze are affected at intersections. Link to article

Shekhar Kumar (IndE2T0) listed as part of UofT Engineering Grads to Watch 2020

Shekhar Kumar, who completed his undergraduate thesis at HFASt, is listed as the Global Engineering Ambassador as part of UofT Engineering Grads to Watch 2020. To read more about his experience and accomplishments, please visit UofT Engineering website. 

HFASt Lab featured on Engineering Dimensions January/February Issue

Current issue of Professional Engineers Ontario (PEO)’s bimonthly magazine, Engineering Dimensions, interviewed Birsen Donmez to discuss the importance of human factors engineering in automative industry. This interview highlights HFASt Lab’s research in transportation, and how research in human factors engineering is aiding the automative industry to improve designs of new technology. The article also includes … Read More

Dengbo He and Nazli E. Kaya won DiDi Graduate Awards

Dengbo He and Nazli Eser Kaya were recognized by DiDi Chuxing, the world’s largest ride-hailing service, for their contributions to transportation safety research. Dengbo and Nazli were among ten U of T graduate students to receive the first DiDi Graduate Awards in U of T.  More information on DiDi graduate awards ceremony here.

HFASt Alumnus Nazli Kaya wins “Advancing Women in Transportation” WTS Toronto Area Chapter scholarship

Nazli Kaya (MASc 19), a recent MASc graduate of HFASt Lab was awarded the “Advancing Women in Transportation” scholarship by the WTS Toronto area chapter for her active contributions to the area of human factors in transportation. More information can be found here.

Nazli Kaya (MASc 19) and team placed first in UTTRI Alumni Network “New Frontiers in Transportation” Competition

HFASt alumnus Nazli Kaya (MASc 19) and her team was placed first in UTTRI Alumni Network “New Frontiers in Transportation” Competition with their project “Reducing short-distance car trips in Toronto”. The team engaged in collaborative work with planners, policy makers, or practitioners, supported by mentors from the UTTRI Alumni Network. They presented their final projects … Read More

Intersection safety study featured on CBC News

One of our research on driver attention failures at intersections rose certain public awareness. CBC news channel interviewed Prof. Birsen Donmez and Nazli E. Kaya, MASc student working under her supervision. This study, being the first of its kind, used eye-tracking equipment to accurately assess where drivers were looking when turning at an intersection. It was … Read More

Students Win Best Poster Awards at MIE Research Symposium 2019

Chelsea DeGuzman and Suzan Ayas won the Best Poster Award at the 10th Annual MIE Graduate Research Symposium, University of Toronto on June 26th, 2019. Their posters “The Effect of Automation Failure Predictability on Drivers’ Take-over Performance and Monitoring Behaviour” and “Understanding and Mitigating Operating Room (OR) Distractions: Preliminary Findings on Door Activity” were both chosen the … Read More