The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …

Many factors affect road safety, but research constantly shows that drivers are the major
cause of critical situations that could potentially lead to a traffic accident in road traffic. Visual …

For multimodal Human-Computer Interaction (HCI), it is very useful to identify the modalities
on which the user is currently processing information. This would enable a system to select …

Introduction Road crash statistics are evidence of the severe consequences resulting from
human error, especially among young adult males. Drivers perform best and safest when …

Semiautonomous driving still requires the driver's control and attention in certain situations.
Especially control transitions, ie take-over and hand-over situations, are important for safety …

The aim of this study was to analyze the performance and attentional effects of sending
voice messages while driving as compared to calling and texting. To this end, participants …

Drivers' high workload caused by distractions has become one of the major concerns for
road safety. This paper presents a data-driven method using machine learning algorithms to …

This study describes the gender differences in driving and visual behaviour observed under
a high mental workload. The impacts of performing a set of in‐vehicle auditory tasks on the …

Traffic incidents (heavy traffic, adverse weather conditions, and traffic accidents) cause an
increase in the frequency and intensity of the acceleration and deceleration. The result is a …

The amount of in-car information systems has dramatically increased over the last few years.
These potentially mutually independent information systems presenting information to the …