Human mental workload is arguably the most invoked multidimensional construct in Human
Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics …

Eye behaviour provides valuable information revealing one's higher cognitive functions and
state of affect. Although eye tracking is gaining ground in the research community, it is not …

Cognitive workload (CWL) is a fundamental concept in the assessment and monitoring of
human performance during cognitive tasks. Numerous studies have attempted to objectively …

Machine learning and its subfield deep learning techniques provide opportunities for the
development of operator mental state monitoring, especially for cognitive workload …

The main purpose of this paper is to provide information on how to create a convolutional
neural network (CNN) for extracting features from EEG signals. Our task was to understand …

Aim The aim was to determine the overall levels and related factors of mental workload
assessed using the NASA‐TLX tool among nurses. Background Mental workload is a key …

Despite the increased interest in automation and the expanded deployment of robots in the
construction industry, using robots in a dynamic and unstructured working environment has …

This study attempted to multimodally measure mental workload and validate indicators for
estimating mental workload. A simulated computer work composed of mental arithmetic …

Studies examining the potential of augmented reality (AR) to improve assembly tasks are
often unrepresentative of real assembly line conditions and assess mental workload only …

Regarding cognitive workload recognition (CWR), electroencephalography (EEG) signals
are nonstationary across time and vary from different subjects, thus hindering the cross …