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.
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
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.
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.
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.
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.
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
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.
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
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.