Harnessing Driving Behavior to Inform Cognitive Change in the Aging Population
Role: PI ∙ Building Better Futures, University of Michigan ∙ 2027-2028 ∙ $50,000
This project uses vision-language models (VLMs) to identify where drivers should direct their attention in real-world driving situations. By comparing these context-aware predictions with older adults’ eye movements, the study will test whether patterns of misplaced attention can help identify preclinical Alzheimer’s disease and inform strategies to support safer driving.
Understanding Driver Transitions Across Automated Driving Levels
Role: PI ∙ General Motors ∙ 2026-2027 ∙ $219,357
Vehicles equipped with advanced driving systems may transition between higher and lower levels of automation (e.g., SAE Levels 3 and 2). These shifts in responsibility between the driver and the system may cause confusion and reduce situational awareness. This project seeks to develop a scenario-based framework for studying transitions between automation modes, characterize driver behavior using high-fidelity simulation, and examine how secondary tasks may impair situational awareness.
Understanding Takeover Performance in Urgent Situations during Level‑3 Driving
Role: PI ∙ UMTRI & Mcity Integration Fund, University of Michigan ∙ 2025-2027 ∙ $99,971
This project seeks to combine eye movements, body position, and cognitive assessments to develop a driver re-engagebility score that can predict driver’s ability to take over vehicle control during urgent situations in level-3 autonomous driving.
Demonstration and Evaluation of Employer‑Based Driving Safety Programs
Role: Co-I ∙ NHTSA ∙ 2024-2029 ∙ $2,400,000
This project works with employers to develop behavioral intervention programs to increase seatbelt use and reduce drowsy and distracted driving.