cchips@email.chop.edu
Roberts Center for Pediatric Research 2716 South Street, 13th Floor Philadelphia, PA 19146
RESEARCH PORTFOLIO
Principal Investigator: Rachel Myers, PhD
The goal of this study is to create a unique source of epidemiologic crash data that enables novel description of use and installation patterns of child restraints among crash-involved children and— following linkage with hospital discharge and death certificate data—novel description of child occupant injury outcomes based on restraint use and installation (rear- vs. forward-facing).
2020-2021
- Integrating Eye Tracking with Real-Time Neuroimaging and Simulated Driving: A New Paradigm for Auto Industry Testing
Principal Investigator: Elizabeth Walshe, PhD
This study aims to integrate eye tracking technology into the millisecond-sensitive neuroimaging methods (magnetoencephalography: MEG) and simulated driving paradigm, and test the feasibility and synchronization of the eye tracking, MEG imaging, and simulated driving data in a baseline sample of teen drivers.
2019-2020
- Bringing the Latest in Neuroimaging Technology to the Auto Industry: Developing a New Tool for Testing Man Machine Interfaces in Autonomous Driving
Principal Investigator: Elizabeth Walshe, PhD
This project aims to develop a new methodology for use by the auto industry in understanding driver traits and states in the context of Level 1-3 autonomous driving. An additional aim is to identify brain activity associated with simple and complex driving scenarios with and without warnings in young drivers.
2021-2022
- New Insights for the Auto Industry: Identifying Key Eye-Tracking Metrics Associated with Cognitive Control While Driving, Validated by MEG Neuroimaging
Principal Investigator: Elizabeth Walshe, PhD
This study aims to quantify eye behavior associated with increased cognitive brain responses during simulated driving scenarios in typically developed teens and conduct a pilot comparison of these eye tracking metrics and frontal lobe responses to those in teens with impaired cognitive control, via a diagnosis of autism spectrum disorder.