Expectations and Understanding of Advanced Driver Assistance Systems among Drivers, Pedestrians, Bicyclists, and Public Transit Riders
The current study examines the perceptions, understanding and expectations of other road users (bicyclists, pedestrians, transit riders) regarding current advanced driver assistance systems (ADAS), as well as more highly automated future technologies.
June 2021 // Technical Report // Fact Sheet
Users’ Trust in and Concerns about Automated Driving Systems
This brief examines people’s trust and potential adoption of automated vehicles (AVs). It also assesses how people’s concerns about different levels of AVs differ in relation to their degree of trust in AVs to prevent crashes.
April 2021 // Research Brief
Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors
This project proposes a framework for identifying and predicting operator errors when using advanced vehicle technology, such as active driving assistance systems. This research also examined the reporting of system limitations by automobile manufacturers.
February 2021 // Technical Report // Fact Sheet
Driver’s Arousal and Workload under Partial Vehicle Automation
This research examines driver workload and arousal when driving different vehicles equipped with advanced driver assistance systems (ADAS). In an on-road study, drivers from two age groups drove on different road types under manual or automated conditions.
September 2020 // Technical Report // Fact Sheet
Impact of Information on Consumer Understanding of a Partially Automated Driving System
Subtle differences in consumer information can exert powerful influence on consumer expectations and understanding of active driving assistance systems. This study highlights the importance of ensuring that materials are not only technically accurate but also balanced.
September 2020 // Technical Report // Fact Sheet
The Impact of Driver’s Mental Models of Advanced Vehicle Technologies on Safety and Performance
This research examines how the quality of a driver’s understanding of advanced vehicle technology, also known as a mental model, impacts his or her performance and safety. Drivers with weak or strong mental models encountered safety-critical events in a driving simulator.
June 2020 // Technical Report // Fact Sheet
2019 Forum on the Impact of Vehicle Technologies and Automation on Users – Design and Safety Implications: A Summary Report
This report summarizes presentations, discussion, and outcomes from a stakeholder forum on the impact of 21st-century automotive technologies on design and safety implications.
April 2020 // Technical Report
Understanding the Impact of Technology: Do Advanced Driver Assistance and Semi-Automated Vehicle Systems Lead to Improper Driving Behavior?
This research examines driver behavior when driving vehicles equipped with advanced driver assistance systems (ADAS), such as adaptive cruise control or lane-keep assist. Information regarding driver behaviors was drawn from two naturalistic driving studies.
December 2019 // Technical Report // Fact Sheet
Users’ Understanding of Automated Vehicles and Perception to Improve Traffic Safety –Results from a National Survey
This study examines people’s perceptions and expectations of automated vehicle (AV) technologies. While there is a relatively large volume of literature studying people’s perceptions of AVs, there has been limited attention paid to the source of their distrust and discomfort.
December 2019 // Research Brief
Age-Related Differences in the Cognitive, Visual and Temporal Demands of In-Vehicle Information Systems
This research examines age-related differences in the visual, cognitive and temporal demands associated with common in-vehicle tasks using the native infotainment systems found in 6 model year 2018 vehicles.
July 2019 // Technical Report // Fact Sheet