Date(s) - 30/09/2020
12:00 pm - 1:00 pm
Automated vehicles: Driver response to failures and the implications of system knowledge for driver training and safe use of automation
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.
Chelsea A. DeGuzman is a 3rd year Ph.D. 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 Ph.D. 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.
Date: Wednesday, September 30th, 2020
Time: 12:00 pm – 1:00 pm EST