In our anxiogenic and stressful world, the maintenance of an optimal cognitive performance
is a constant challenge. It is particularly true in complex working environments (eg flight …

For decades, road crashes have caused many deaths and injuries and generally have had a
severe social and economic impact on societies. According to studies, driver distraction has …

This critical and reflective literature review examines international research published over
the last decade to summarise the different kinds of measures that have been used to explore …

Virtual Reality (VR) applications commonly use the illusion of self-motion (vection) to
simulate experiences such as running, driving, or flying. However, this can lead to …

This article provides an interdisciplinary perspective on driver monitoring systems by
discussing state-of-the-art signal processing solutions in the context of road safety issues …

The finite nature of human cognitive capacity demands an efficient relationship between
invested mental effort and task performance. As a result, the process of learning can be …

The application of cognitive load theory has been at the forefront of work in cognition and
learning for some time. Cognitive load theory seeks to explain how and why some material …

Functional near-infrared spectroscopy (fNIRS) is a non-invasive vascular-based functional
neuroimaging technology that can assess, simultaneously from multiple cortical areas …

Objective. The electroencephalogram (EEG) is gaining popularity as a physiological
measure for neuroergonomics in human factor studies because it is objective, less prone to …

Objective. Understanding the cognitive load of drivers is crucial for road safety. Brain
sensing has the potential to provide an objective measure of driver cognitive load. We aim to …