Research
Past and current research projects and collaborations
current & Past Research projects
Usage and Impact of Advanced Driver Assistance Systems (ADAS) on Road Safety: A Survey Study
Funding: Massachusetts Department of Transportation, Principal Investigator.
Assessment of Training on Understanding and Perception of Advanced Driver Assistance Systems in a Simulator
Funding: Massachusetts Department of Transportation, Principal Investigator.
Calibrating Drivers' Mental Representations of Advanced Driver Assistance Systems via Visual Representations of System States and Transitions
Funding: UMass MIE, Principal Investigator
Evaluation of a Wizard of Oz approach to Simulate Automated Driving Systems in a Driving Simulator
Funding: SaferSim, Co-Principal Investigator
The Impact of Driver’s Mental Models of Advanced Vehicle Technologies on Safety and Performance.
Funding; AAAFTS & SaferSim, Principal Investigator
Longitudinal Naturalistic Field Study of Trust and Acceptance of Automotive Safety Assistance Systems.
Funding: State Farm & MCity, Principal Investigator
Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety.
CCAT UTC, USDOT. Principal Investigator.
Using Virtual Reality to develop Risk Awareness Perception Training for the UK.
UK Department for Transportation. Consultant.
Driving simulator user clinic to evaluate a Tailgater-Handling Assist System.
Industry Sponsor. Principal Investigator.
Research on Distracted Driver Detection – Phase 2.
Industry Sponsor. Co-Investigator.
Development of an Objective Method for Trust Evaluation.
Industry Sponsor. Co-Investigator.
AVT Effectiveness According to Driver Variables.
State Farm & MCity. Principal Investigator
Autism Spectrum Disorder (ASD) Hazard Perception Training.
Industry Sponsor. Co-Investigator.
Explanations and Expectations: Trust Building in Autonomous Vehicles.
MCity. Co-Investigator.
Studying Interactions Between Drivers and Vulnerable Road Users at Intersections Using Existing Naturalistic Driving Data.
MCity. Co-Investigator.
Trust, Control and Risk in Autonomous Vehicles.
Toyota Research Institute. Co-Investigator
A naturalistic bicycling study in the Ann Arbor area.
Toyota Research Institute. Co-Investigator
Automated Vehicle Communication and Intent with Shared Road Users.
USDOT. Co-Investigator
ITS Performance and Driver Acceptance Study.
Industry Sponsor. Co-Investigator.
Research on Distracted Driver Detection – Phase 1.
Industry Sponsor. Co-Investigator
Driver Engagement/Status Monitoring Technologies for Vehicle Automation Applications – Phase 2.
USDOT/Soartech. Principal Investigator.
Evaluation of the Efficacy of Multiple Training Strategies on Drivers’ Safe Operation and Trust Calibration of Level 2 and 3 Automated Vehicle Systems.
MCity. Co-Investigator.
Research on the Effects of Peripheral and Focal Cuing on Driving Behavior.
Industry Sponsor. Co-Investigator
Simulator Evaluation of Driver-to-Driver (D2D) Messaging Concept in a Connected Vehicles Infrastructure.
Industry Sponsor. Principal Investigator
Modeling Teenage Drivers' Following Behavior: An Examination from Naturalistic Driving Data.
University of Michigan MCubed. Co-Investigator
Operator Ethics in Vehicle Automation: A Sudden Reveal Simulator Study.
MCity. Co-Investigator.
Driver Engagement/Status Monitoring Technologies for Vehicle Automation Applications.
USDOT/Soartech. Principal Investigator.
Effects of peripheral and focal cuing on younger driver’s driving behavior.
Industry Sponsor. Co-Investigator.
Examination of Operator State Monitoring and Operator Engagement as Strategies for Mitigating Human Factors Challenges Associated with Transfer-of-Control During Automated Driving.
MCity. Principal Investigator.
Age-related differences in driver behavior associated with automated vehicles and the transfer of control between automated and manual control: A simulator evaluation.
MCity. Principal Investigator.
Consumers' Response to Automated Vehicles.
MCity. Co-Investigator.
Investigation of drivers' adaptation behavior and decision making when interacting with automated and connected vehicle technologies.
MCity. Co-Investigator.
An Application of Current Legal Precedents on Fault and Liability to Crashes Involving Automated Motor Vehicles.
MCity. Co-Investigator.
Persistent Effects of Concussion on Driving Behaviors: A Driving Simulator Evaluation.
University of Michigan Office of Research. Co-Investigator
Long-term Effects of Concussion on Driving Behaviors: A Driving Simulator Evaluation.
University of Michigan Injury Center. Co-Principal Investigator
Prescription Opioids and Driving Risk: A Comparison by Dose and Medical Use and Misuse.
University of Michigan Injury Center. Co-Investigator
Effects of Driver Assistance Technology.
AAA Foundation for Traffic Safety. Co-Investigator
Driver Fatigue Countermeasures presented through Sync.
Industry Sponsor. Co-Investigator.
Using Driving Simulation to Examine the Influence of Female Peer Passengers on Male Adolescents' Risky Driving.
Center for Injury Research and Policy. The Research Institute at Nationwide Children’s Hospital. Principal Investigator.
How Do Multiple Male Peer Passengers Affect Male Adolescents’ Risky Driving Behaviors: A Driving Simulator Evaluation.
University of Michigan Injury Center. Principal Investigator
The driver in the driverless car: Simulating vehicle automation for evaluation of driver behavior and performance.
MCity. Principal Investigator.
Developmental Differences in Prefrontal Cortex Activity of Adolescents and Adults with ADHD During Simulated Driving with Peer Passengers.
University of Michigan Center for Human Growth and Development. Principal Investigator.
Risk-taking behaviors and pre-frontal cortex activity of male adolescents in the presence of peer passengers during simulated driving: A functional near-infrared spectroscopy (fNIRS) study.
ATLAS Center/Department of Transportation. Principal Investigator.
Long Haul Trucking Driver Risk Management: A DriveCam Study.
Industry Sponsor. Principal Investigator
Using Naturalistic Driving Performance Data to Develop an Empirically Defined Model of Distracted Driving.
Purdue University / US-DOT. Co-Investigator
Neural Predictors of Risky Driving and Susceptibility to Peer Influences in Adolescents.
University of Pennsylvania / NIH Subcontract. Consultant
Experimental Research on the Effect of Teenage Passengers on Teenage Driving Performance.
NICHD. Co-Investigator