Driving with Partial Driving Automation Systems: Developing Effective Training that Drivers Will Use
Technologies that partially automate some aspects of driving are becoming more common, but most drivers receive little if any training about them. This project sought to determine how to maximize the likelihood that drivers would engage with training about these technologies.
May 2025 Technical Report | Report Summary
Effects of Training Content and Approach on Drivers’ Understanding of and Performance with Advanced Driver Assistance Systems
Advanced driver assistance systems have the potential to make driving safer and more comfortable, but it is important for drivers to understand them and use them safely. This report examines how training influences drivers’ understanding of and performance with these systems.
May 2025 Technical Report | Report Summary
Identifying Outcome Measures to Evaluate Drivers’ Knowledge of Vehicle Automation
The main objective of this study was to identify and appraise outcome measures that could be used to assess or infer a driver’s knowledge of advanced vehicle technologies, and by extension, the effectiveness of training and education on these same technologies.
October 2024 Technical Report | Report Summary
Consumer Education and Training for Vehicle Automation: Outcomes from an Expert Workshop
This brief highlights an expert workshop that was convened to have interactive discussions to inform consumer education research and help advance science and knowledge in the space of vehicle automation.
July 2024 Research Brief
Mapping Comprehension of ADAS across Different Road Users
This survey study examined how level of knowledge of advanced driver assistance systems (ADAS) varied by driver type, experience, perceptions regarding vehicle technology, attitudes and preferences towards education, and confidence, among others.
October 2023 Technical Report | Report Summary
A Multi-Method Approach to Understanding Drivers’ Experiences and Behavior Under Partial Vehicle Automation
This study used three different approaches—experimental, naturalistic, and survey—to investigate how drivers interact with and adapt to vehicle automation systems in real-world scenarios over an extended period of time.
September 2023 Technical Report | Report Summary
Measuring and Predicting Drivers’ Takeover Readiness and Supporting Takeover Transitions in Automated Driving
This report highlights two studies aimed at facilitating takeover transitions in Level 3 automation, including an examination of factors predictive of driver takeover readiness as well as a gaze guidance system that supports attention during control takeovers.
September 2023 Technical Report | Report Summary
Examining the Safety Benefits of Partial Vehicle Automation Technologies in an Uncertain Future
Advanced driver assistance systems will prevent crashes and save lives. However, many factors will influence the size of the benefits and how quickly they accrue. This report estimates how many crashes, injuries, and deaths these systems will prevent over the next 30 years.
August 2023 Technical Report | Report Summary
Human-Machine Interfaces and Vehicle Automation: The Effect of HMI Design on Driver Performance and Behavior
The purpose of this study was to examine driver responses to two different human-machine interfaces, which consisted of different auditory and visual warning messages and timing, designed for different automated driving levels and scenarios.
July 2023 Technical Report | Report Summary
Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure
This longitudinal driving simulator study assesses how exposure to different amounts and types of edge-case events influence the development and accuracy of drivers’ understanding of vehicle automation.
June 2023 Technical Report | Report Summary