Rate My Professor Linda Ng Boyle

Her research specializations encompass driving behavior, crash countermeasures, crash and safety analysis, and statistical modeling, with an emphasis on improving automotive safety, mitigating distracted driving risks, and addressing implications for autonomous vehicles, including human behavior factors and technologies to alert drivers to hazards. Boyle has obtained funding from the National Science Foundation, National Institutes of Health, U.S. Department of Transportation, and major automakers. She is the recipient of the NSF CAREER Award and holds fellowships from the Institute of Industrial and Systems Engineers (IISE) and the Human Factors and Ergonomics Society (HFES). Additionally, she serves on Transportation Research Board committees on Vehicle User Characteristics and Statistical and Econometric Methods, as well as the National Academies Board on Human-Systems Integration. Key publications include "Extending the technology acceptance model to assess automation" (Cognition, Technology & Work, 2012), "Safety implications of providing real-time feedback to distracted drivers" (Accident Analysis & Prevention, 2007), "The influence of driver distraction on the severity of injuries sustained by teenage drivers and their passengers" (Accident Analysis & Prevention, 2008), "Driver performance in the moments surrounding a microsleep" (Transportation Research Part F: Traffic Psychology and Behaviour, 2008), and "The effect of distractions on the crash types of teenage drivers" (Accident Analysis & Prevention, 2007).