Webinar - Automated Vehicles: Driver Response to Failures and the Implications of System Knowledge for Driver Training and Safe Use of Automation

Wednesday, September 30, 2020 12:00 pm - 1:00 pm EDT (GMT -04:00)

CRE-MSD and ACE webinar series

This free webinar is part of a series of webinars offered through the collaboration of CRE-MSD and the Association of Canadian Ergonomists (ACE).

CRE-MSD is committed to building the capacity of the health and safety system to prevent MSD. Encouraging and providing graduate students a forum to share their MSD related research and engage in dialogue is one of the ways we do this. Together with ACE, this graduate webinar series has been co-ordinated.

In this webinar

Automated driving systems promise several benefits to road users, such as reducing collisions and decreasing traffic congestion. Driving automation currently available to consumers can control the vehicle’s steering via a lane keeping assist (LKA) system and the acceleration and braking of the vehicle via adaptive cruise control (ACC). When these systems are engaged, drivers no longer need to physically control the vehicle; their role changes to one of monitoring the roadway and automation so that they are prepared to take over control of the vehicle if the automation fails.

In this webinar, the speaker will first present recent research investigating how driver behaviour differs when encountering different types of automation failures (i.e., depending on whether the failure could be anticipated based on knowledge of the system limitations). As well, the speaker will discuss an ongoing survey study to assess drivers’ knowledge of ACC and LKA capabilities and limitations and how such knowledge (along with demographic factors) may influence trust, and the implications for driver training to support the safe use of driving automation.

About the presenter

Chelsea DeGuzman
Chelsea A. DeGuzman is a 3rd year PhD student in the Human Factors and Applied Statistics Lab at the University of Toronto, and Co-President of the Human Factors Interest Group, the HFES student chapter at the University of Toronto. Her PhD research focuses on drivers’ understanding and use of automated driving technology. She is particularly interested in how to improve drivers’ understanding of driving automation to reduce overreliance on these systems. Chelsea received her BA from Western University (2013), specializing in Developmental Cognitive Neuroscience, and then completed her MASc at the University of Toronto (2017) in Human Factors.

Webinar resources

Webinar recording (Webex)
Password: Auto2020

Webinar slide presentation (PDF)

For assistance, please contact Betina Butler at bbutler@uwaterloo.ca.


Disclaimer: CRE-MSD receives funding through a grant provided by the Ontario Ministry of Labour, Training and Skills Development. The views expressed are those of the presenters and do not necessarily reflect those of the Centre nor of the Province of Ontario.