Attention detection in virtual environments using EEG signals: a scoping review

RHC Souza, ELM Naves - frontiers in physiology, 2021 - frontiersin.org
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 …

[图书][B] Engineering psychology and human performance

CD Wickens, WS Helton, JG Hollands, S Banbury - 2021 - taylorfrancis.com
Forming connections between human performance and design, this new edition of
Engineering Psychology and Human Performance examines human–machine interaction …

Mental workload of frontline nurses aiding in the COVID‐19 pandemic: A latent profile analysis

Y Shan, J Shang, Y Yan, G Lu, D Hu… - Journal of Advanced …, 2021 - Wiley Online Library
Aims To investigate the mental workload level of nurses aiding the most affected area during
the Coronavirus disease 2019 (COVID‐19) pandemic and explore the subtypes of nurses …

Transfer of training—Virtual reality training with augmented multisensory cues improves user experience during training and task performance in the real world

N Cooper, F Millela, I Cant, MD White, G Meyer - PloS one, 2021 - journals.plos.org
Virtual reality (VR) can create safe, cost-effective, and engaging learning environments. It is
commonly assumed that improvements in simulation fidelity lead to better learning …

A review of physiological measures for mental workload assessment in aviation: A state-of-the-art review of mental workload physiological assessment methods in …

G Luzzani, I Buraioli, D Demarchi… - The Aeronautical …, 2023 - cambridge.org
The relevant growth of human-machine interaction (HMI) systems in recent years is leading
to the necessity of being constantly aware of the cognitive workload level of an operator …

[PDF][PDF] HP Omnicept cognitive load database (HPO-CLD)–developing a multimodal inference engine for detecting real-time mental workload in VR

EH Siegel, J Wei, A Gomes, M Oliviera… - HP Labs, 2021 - researchgate.net
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 …

Classification of fNIRS finger tapping data with multi-labeling and deep learning

NM Sommer, B Kakillioglu, T Grant… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Studying the relationship between the brain and finger tapping motions can contribute
towards an improved understanding of neuromuscular impairment. Furthermore, acquiring …

Interpretable machine learning models for three-way classification of cognitive workload levels for eye-tracking features

M Kaczorowska, M Plechawska-Wójcik, M Tokovarov - Brain sciences, 2021 - mdpi.com
The paper is focussed on the assessment of cognitive workload level using selected
machine learning models. In the study, eye-tracking data were gathered from 29 healthy …

Grand field challenges for cognitive neuroergonomics in the coming decade

K Gramann, R McKendrick, C Baldwin… - Frontiers in …, 2021 - frontiersin.org
Neuroergonomics as defined by Raja Parasuraman is the study of “the brain at work and in
everyday life”(Parasuraman, 2003). This rapidly growing research field aims at …

A cyber-physical-human system for one-to-many uas operations: Cognitive load analysis

LJ Planke, Y Lim, A Gardi, R Sabatini, T Kistan, N Ezer - Sensors, 2020 - mdpi.com
The continuing development of avionics for Unmanned Aircraft Systems (UASs) is
introducing higher levels of intelligence and autonomy both in the flight vehicle and in the …