Drivers must establish adequate mental models to ensure safe driver-vehicle interaction in
combined partial and conditional driving automation. To achieve this, user education is …

Automated driving systems (ADS) and a combination of these with advanced driver
assistance systems (ADAS) will soon be available to a large consumer population. Apart …

The projected introduction of conditional automated driving systems to the market has
sparked multifaceted research on human–machine interfaces (HMIs) for such systems. By …

To evaluate human-machine interfaces for automated driving systems, a robust
methodology is indispensable. The present driving simulator study investigated the effect of …

Trust in Automation is known to influence human-automation interaction and user behaviour.
In the Automated Driving (AD) context, studies showed the impact of drivers' Trust in …

This study provides a comprehensive overview of the way consumers and car sellers are
currently informed about Advanced Driver Assistance Systems (ADAS). In order to gain any …

The success of introducing automated driving systems to consumers will depend on an
appropriate understanding and human-automation interaction with this technology …

In partially automated vehicles, the driver and the automated system share control of the
vehicle. Consequently, the driver may have to switch between driving and monitoring …

Drivers struggle to understand how, and when, to safely use their cars' complex automated
functions. Training is necessary but costly and time consuming. A Digital In-Car Tutor (DIT) is …

For a successful market introduction of Level 3 Automated Driving Systems (L3 ADS), a
careful evaluation of human–machine interfaces (HMIs) is necessary. User preference has …