Mental workload (MWL) assessment is crucial in information systems (IS), impacting task
performance, user experience, and system effectiveness. Deep learning offers promising …

The safety and performance of automobile drivers depend on many factors. The mental
status of the drivers is the foremost factor in ensuring driving safety, in addition to physical …

1.1 Cognitive load. In scientific terms, the amount of mental effort required to perform a task
or learn something new, often called cognitive load, and has been studied by researchers …

Robots interacting with humans in assistive contexts have to be sensitive to human cognitive
states to be able to provide help when it is needed and not overburden the human when the …

The aim of this study is to investigate the usefulness of the anomaly detection method by one-
class support vector machine (OCSVM) for the evaluation of mental workload (MWL) during …

Analysis of physiological signals, electroencephalography more specifically, is considered a
very promising technique to obtain objective measures for mental workload evaluation …

The determination of a subject's mental workload (MWL) from an electroencephalogram
(EEG) is a well-studied area in the brain-computer interface (BCI) field. A high MWL level …

Emotion is a complicated state that influences one's thoughts and behaviour. Recognizing
the emotions of a human being is a major research interest in the affective computing after …

The use of mobile phones while driving is restricted to hands-free mode. But even in the
hands-free mode, the use of mobile phones while driving causes cognitive distraction due to …

Electroencephalogram (EEG) is a non-invasive technology with high temporal resolution,
widely used in Brain-Computer Interfaces (BCIs) for mental workload (MWL) classification …