Driver inattention and distraction are the main causes of road accidents, many of which
result in fatalities. To reduce road accidents, the development of information systems to …

In automated driving, an appropriate level of driver trust is essential to improve safety and
ensure zero fatalities. Drivers must have a sufficient level of trust to intervene correctly in …

Driver distraction behavior causes a large number of traffic accidents every year, resulting in
economic losses and injuries. Currently, the driver still plays an important role in the driving …

Distracted driving is known to be one of the leading causes of vehicle accidents. With the
increase in the number of sensors available within vehicles, there exists an abundance of …

Mode confusion occurs when the driver of an automated vehicle (AV) is confused about the
active operating mode of the AV and therefore, their responsibilities as the driver. Mode …

Drivers experience difficulties when interacting with automated driving systems. The need
for driver training is generally acknowledged, but training is limited so far–leaving the driver …

Vehicle automation is a prominent example of safety-critical AI-based task automation.
Recent digital innovations have led to the introduction of partial vehicle automation, which …

Learning from human driver's strategies for undertaking complex traffic scenarios has the
potential to improve decision-making methods for designing ADAS systems, as well as for …

New energy sources are transforming the automotive market. This shift has also expanded
the possibilities for in-vehicle interaction. Through a literature review, this study categorizes …

The use of partial driving automation is intended to increase both safety and comfort.
However, the interaction with vehicle automation and the changing driving task, from …