In the future, vehicles will be able to warn drivers of hidden dangers before they are visible.
Specific warning information about these hazards could improve drivers' reactions and the …

Operator inattention can lead to accidents in industry, resulting in injury, death, and financial
loss. To prevent this, we present a warning system that leverages artificial intelligence and …

In order to profit from China's enormous business opportunities, international firms need to
know Chinese consumer preferences. To learn more about intrinsic Chinese consumer …

In-vehicle information systems (IVIS) may contribute to increased levels of cognitive
workload, which in turn can lead to a more dangerous driving behaviour. An experiment was …

To enable interactive remote education on electrical safety in biomedical engineering, a real-
life problem-based laboratory module is proposed, implemented and evaluated. The …

The number of trucks that are equipped with driver assistance systems is increasing. These
driver assistance systems typically offer binary auditory warnings or notifications upon lane …

Driving demands a significant amount of visual attention, which may impair drivers' ability to
detect and react to visual information such as blind spot warnings. This online pilot study (N …

A main challenge to the successful wide scale introduction of self-driving vehicles is users'
trust in automation technology. This study's primary aim was to investigate whether auditory …

Acceptance intuitively is a precondition for the adaptation and use of technology. In this
systematic review, we examine academic literature on the “simple scale for acceptance …

In this chapter main concepts from cognitive psychology are introduced in relation to driving,
to provide a theoretical foundation for automotive interaction design. Insights concerning …