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Driver Workload in Manual vs. Automated Driving
Location
Windsor - Chatham,ON
Date
FEBRUARY 2023 - MAY 2023
Project type
SELF DRIVING VEHICLES
Assessment
Glance allocation, Cognitive Workload
Link
In partnership with the Ministry of Transportation, Ontario, at Human System Labs, I compared driver workload in manual versus automated driving scenarios on Highway 401. Using eye-tracking, heart rate monitoring, and the Detection Response Task (DRT), I assessed cognitive load and attention allocation. Participants were driving a 2022 Tesla Model 3 in both the modes. My findings, which informed safer vehicle automation designs, highlight how automation impacts driver behavior, contributing to the development of safer autonomous systems.
Key Contributions:
-Conducted experiments comparing manual and automated driving using eye-tracking and DRT.
-Used Da Vinci Resolve to aggregate different types of glances for allocation analysis.
-Analyzed physiological data (heart rate, gaze patterns) to measure cognitive workload.
-Provided insights into driver attention dynamics for safer vehicle automation.
-Collaborated with the Ministry to translate findings into practical safety recommendations.
