Human state recognition is a critical topic with pervasive and important applications in
human-machine systems. Multi-modal fusion, which entails integrating metrics from various …

Assessing driver cognitive load (DCL) is essential for enhancing driving safety and
performance. This study introduces a novel method that leverages a pre-trained biosignal …

Extended reality (XR) technologies—encompassing virtual reality (VR), augmented reality
(AR), and mixed reality (MR)—are transforming cognitive assessment and training by …

Road safety remains a critical challenge worldwide, with approximately 1.35 million fatalities
annually attributed to traffic accidents, often due to human errors. As we advance towards …

The interaction and collaboration between humans and multiple robots represent a novel
field of research known as human multi-robot systems. Adequately designed systems within …

Mental workload plays a vital role in cognitive impairment. The impairment refers to a
person's difficulty in remembering, receiving new information, learning new things …

The interaction and collaboration between humans and multiple robots represent a novel
field of research known as human multirobot systems. Adequately designed systems within …

Accurately measuring and understanding affective loads, such as cognitive and emotional
loads, is crucial in the field of human–robot interaction (HRI) research. Although established …

Background The study of cognitive load management in surgery has led to identification of
objective cognitive workload (CWL) correlates offering the potential to improve patient …

In this paper, we propose a methodology to classify three levels of human (mental) workload
for different allocations of functions in a human-autonomy teaming (HAT) scenario. Function …