Human mental workload: A survey and a novel inclusive definition

L Longo, CD Wickens, G Hancock… - Frontiers in …, 2022 - frontiersin.org
Human mental workload is arguably the most invoked multidimensional construct in Human
Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics …

An EEG-based brain cognitive dynamic recognition network for representations of brain fatigue

P Li, Y Zhang, S Liu, L Lin, H Zhang, T Tang… - Applied Soft Computing, 2023 - Elsevier
Fatigue driving will seriously threaten public safety and health, so monitoring the brain's
cognitive state accurately and exploring the fatigue process is essential. This paper …

Neurophysiological assessment of an innovative maritime safety system in terms of ship operators' mental workload, stress, and attention in the full mission bridge …

V Ronca, E Uflaz, O Turan, H Bantan, SN MacKinnon… - Brain Sciences, 2023 - mdpi.com
The current industrial environment relies heavily on maritime transportation. Despite the
continuous technological advances for the development of innovative safety software and …

Cross-task mental workload recognition based on EEG tensor representation and transfer learning

K Guan, Z Zhang, T Liu, H Niu - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
The accurate evaluation of mental workload of operators in human machine systems is of
great significance in ensuring the safety of operators and the correct execution of tasks …

An fNIRS-based dynamic functional connectivity analysis method to signify functional neurodegeneration of Parkinson's disease

J Lu, X Zhang, Y Wang, Y Cheng, Z Shu… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a prevalent brain disorder, and PD diagnosis is crucial for
treatment. Existing methods for PD diagnosis are mainly focused on behavior analysis, while …

Topological EEG-based functional connectivity analysis for mental workload state recognition

Y Yan, L Ma, YS Liu, K Ivanov, JH Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Mental workload (MWL) assessment is crucial in fatigue evaluation applications to avoid
potential health problems or serious accidents. This article proposes an MWL recognition …

Cognitive reorganization due to mental workload: A functional connectivity analysis based on working memory paradigms

GN Dimitrakopoulos, I Kakkos, A Anastasiou… - Applied Sciences, 2023 - mdpi.com
Mental workload has a major effect on the individual's performance in most real-world tasks,
which can lead to significant errors in critical operations. On this premise, the analysis and …

Fusion of spatial, temporal, and spectral EEG signatures improves multilevel cognitive load prediction

Y Liu, Y Yu, Z Ye, M Li, Y Zhang, Z Zhou… - … on Human-Machine …, 2023 - ieeexplore.ieee.org
Cognitive load prediction is one of the most important issues in the nascent field of
neuroergonomics, and it has significant value in real-world applications. Most of the …

LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights

Y Wang, M Han, Y Peng, R Zhao, D Fan, X Meng… - … Signal Processing and …, 2024 - Elsevier
Cognitive workload assessment is crucial for ensuring pilots' safety during flights.
Electroencephalography (EEG) is a promising tool for monitoring cognitive workload …

Identifying stable EEG patterns over time for mental workload recognition using transfer DS-CNN framework

L Jin, H Qu, L Pang, Z Zhang, Z Lyu - Biomedical Signal Processing and …, 2024 - Elsevier
Abstract Timely evaluating operator Mental Workload (MW) levels in human–computer
interaction helps to assign tasks legitimately and guarantee safety and efficiency at the same …