Perceived risk and trust are crucial for user acceptance of driving automation. In this study,
we identify important predictors of perceived risk and trust in a driving simulator experiment …

Supplying training to drivers that teaches them about automated driving and requests to
intervene may help them to build and maintain a mental representation of how automation …

Currently, the legal, technical and psychological regulatory framework of automated driving
is being discussed by car manufacturers and researchers to guarantee its safe and smooth …

Trust is important for users' acceptance and adoption of automated vehicles (AVs). Previous
research has mainly focused on what information affects user trust in AVs and how the user's …

This study applied the Theory of Planned Behavior (TPB) and the Technology Acceptance
Model (TAM) to assess drivers' intended use of automated vehicles (AVs) after undertaking a …

In urban areas, drivers often have difficulty detecting pedestrians who want to cross the
street but are obstructed by parked vehicles. Highly automated vehicles (HAVs, SAE Level …

Trust in automation is a critical determinant for the acceptance and use of automated
systems. Therefore, it constitutes an essential research area to promote the wide application …

Enabling highly automated driving is a long lasting endeavor in traffic research. Whereas
technical solutions have been tested for more than 20 years, psychological effects of highly …

The rapid development of Advanced Driver Assistance Systems (ADAS) and Autonomous
Vehicle (AV) technology has raised concerns about the ability of ordinary drivers to safely …

The eventual adoption of automated vehicles seems inevitable. With the potential to reduce
traffic accidents caused by human error [1], decrease congestion, increase mobility, and …