William J. Horrey
Technical Director
Biography
Dr. William J. Horrey joined the AAA Foundation for Traffic Safety in August 2017. An experienced human factors professional, Dr. Horrey has led or contributed to many research projects in the areas of driver distraction, driver behavior and safety, human-automation interaction, attention and risk perception. He is the past chair of the Transportation Research Board’s Vehicle User Characteristics Committee and the Publications Division of the Human Factors and Ergonomics Society. He is also an associate editor of the Human Factors Journal and has served on many national and international committees and working groups. He received his Ph.D. in engineering psychology from the University of Illinois at Urbana-Champaign.
Featured Research
- Feeling sleepy? stop driving—awareness of fall asleep crashes
- Evaluating the impacts of vehicle-mounted Variable Message Signs on passing vehicles: implications for protecting roadside incident and service personnel
- Longer-term exposure vs training: Their effect on drivers' mental models of ADAS technology
- Driver expectations of a partial driving automation system in relation to branding and training
- Handbook of human factors for automated, connected, and intelligent vehicles
Recent AAA Foundation Research by William J. Horrey
Prevalence of Drowsy & Distracted Driving While Using Partial Driving Automation
Driving with Partial Driving Automation Systems: Developing Effective Training that Drivers Will Use
Identifying Outcome Measures to Evaluate Drivers’ Knowledge of Vehicle Automation
Consumer Education and Training for Vehicle Automation: Outcomes from an Expert Workshop
Mapping Comprehension of ADAS across Different Road Users
Human-Machine Interfaces and Vehicle Automation: The Effect of HMI Design on Driver Performance and Behavior
Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure
Perceptions and Attitudes Towards Automated Vehicles, United States, 2021: Examining the Alignment Between Preferences for Adoption and Perceived Safety
User Interactions with Vehicle Automation Technologies: A Review of Previous Research and a Proposed Framework
Human-Machine Interfaces and Vehicle Automation: A Review of the Literature and Recommendations for System Design, Feedback, and Alerts
Traffic Fatalities on Urban Roads and Streets in Relation to Speed Limits and Speeding, United States, 2010–2019
Public Understanding and Perception of Automated Vehicles, United States, 2018 – 2020
An Examination of How Longer-Term Exposure and User Experiences Affect Drivers’ Mental Models of ADAS Technology
Effectiveness of Distracted Driving Countermeasures: An Expanded and Updated Review of the Scientific and Gray Literatures
Self-Reported Risky Driving in Relation to Changes in Amount of Driving During the COVID-19 Pandemic
Improving Roadside Responder Crash Data: Outcomes from an Expert Roundtable Discussion
Expectations and Understanding of Advanced Driver Assistance Systems among Drivers, Pedestrians, Bicyclists, and Public Transit Riders
Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors
Examining the Increase in Pedestrian Fatalities in the United States, 2009–2018
The Impact of Driver’s Mental Models of Advanced Vehicle Technologies on Safety and Performance
Effectiveness of Distracted Driving Countermeasures: A Review of the Literature
Detection Windows for Drugs in Oral Fluid: Cannabinoids, Stimulants, and Opioids
Assessing Fatality Rates in Crash Involvement for Motorists and Non-Motorists in Teen Driver Crashes by Risk Factor
Potential Reduction in Crashes, Injuries and Deaths from Large-Scale Deployment of Advanced Driver Assistance Systems
