The competitive demand for attention is present in our daily lives, and the identification of
neural processes in the EEG signals associated with the demand for specific attention can …

With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is
unlimited potential for applications ranging from education, to training, to entertainment, to …

Mental workload, which denotes the amount of mental effort a task requires users to exert, is
a critical consideration in various human-computer interaction scenarios, including virtual …

Lapses in attention can have serious consequences in situations such as driving a car,
hence there is considerable interest in tracking it using neural measures. However, as most …

Assessment of mental workload is crucial for applications which require constant attention
and where conditions such as mental fatigue and drowsiness must be avoided. As such …

Workload estimation from electroencephalographic signals (EEG) offers a highly sensitive
tool to adapt the human–computer interaction to the user state. To create systems that …

Electroencephalograph (EEG) data provide insight into the interconnections and
relationships between various cognitive states and their corresponding brain dynamics, by …

Advances in affective computing technologies have made it possible for researchers to
investigate brain function while users interact in virtual environments. Progress in sensors …

Studies on EEG-based mental workload detection generally consider workload exclusively
in terms of task demands, as manipulated through the variation of task difficulty. However …

Objective. Our experiments explored the effect of visual stimuli degradation on cognitive
workload. Approach. We investigated the subjective assessment, event-related potentials …