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.
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.
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.
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.
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.
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.
Perceptions and Attitudes Towards Automated Vehicles, United States, 2021: Examining the Alignment Between Preferences for Adoption and Perceived Safety
This study examined how well people’s attitudes regarding automated vehicles adoption were aligned with their perceptions of the safety of driving or riding in automated vehicles.
May 2023 Research Brief
User Interactions with Vehicle Automation Technologies: A Review of Previous Research and a Proposed Framework
This research brief reviews recent research and proposes a framework on user perceptions, understanding, and interactions with vehicle automation technology.
January 2023 Research Brief
Human-Machine Interfaces and Vehicle Automation: A Review of the Literature and Recommendations for System Design, Feedback, and Alerts
The purpose of this study was to review and synthesize existing research and guidance on HMI design for driving automation systems and to propose a set of recommendations that could inform future system development and implementation.
This report summarizes presentations, discussion, and outcomes from a stakeholder forum on the impact of 21st-century automotive technologies on users.
October 2022 Technical Report