This research brief continues examining public trust in, adoption of, and concerns about different levels of automated vehicles by looking into the dynamics of these measures over time.
April 2022 Research Brief
An Examination of How Longer-Term Exposure and User Experiences Affect Drivers’ Mental Models of ADAS Technology
This project assesses the understanding or mental models of naïve users of adaptive cruise control (ACC) and evaluate how their mental models change with exposure to the systems over the first six months of ownership.
This report summarizes presentations, discussion, and outcomes from a virtual stakeholder forum on the impact of 21st-century automotive technologies on users.
March 2022 Technical Report
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.
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.
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.
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