Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

Mental workload refers to the cognitive effort required to perform tasks, and it is an important
factor in various fields, including system design, clinical medicine, and industrial …

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 …

Assessing the cognitive workload of human interactants in mixed-initiative teams is a critical
capability for autonomous interactive systems to enable adaptations that improve team …

Cognitive load is a user state intensively researched in the NeuroIS community. Recently,
the interest in designing neuro-adaptive information systems (IS) which react to the user's …

The mental workload (MWL) of different occupational groups' workers is the main and direct
factor of unsafe behavior, which may cause serious accidents. One of the new and useful …

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 …

This study addresses concerns about reproducibility in scientific research, focusing on the
use of electroencephalography (EEG) and machine learning to estimate mental workload …

Objective. Recently, the demand for wearable devices using electroencephalography (EEG)
has increased rapidly in many fields. Due to its volume and computation constraints …

Mental Workload (MWL) can be explained as how much mental resource is required to
perform any task. The measurement of mental workload can help to reduce mental fatigue …