State of science: mental workload in ergonomics

MS Young, KA Brookhuis, CD Wickens, PA Hancock - Ergonomics, 2015 - Taylor & Francis
Mental workload (MWL) is one of the most widely used concepts in ergonomics and human
factors and represents a topic of increasing importance. Since modern technology in many …

fNIRS-based brain-computer interfaces: a review

N Naseer, KS Hong - Frontiers in human neuroscience, 2015 - frontiersin.org
A brain-computer interface (BCI) is a communication system that allows the use of brain
activity to control computers or other external devices. It can, by bypassing the peripheral …

A neuroergonomics approach to mental workload, engagement and human performance

F Dehais, A Lafont, R Roy, S Fairclough - Frontiers in neuroscience, 2020 - frontiersin.org
The assessment and prediction of cognitive performance is a key issue for any discipline
concerned with human operators in the context of safety-critical behavior. Most of the …

Automaticity of walking: functional significance, mechanisms, measurement and rehabilitation strategies

DJ Clark - Frontiers in human neuroscience, 2015 - frontiersin.org
Automaticity is a hallmark feature of walking in adults who are healthy and well-functioning.
In the context of walking,“automaticity” refers to the ability of the nervous system to …

Passive BCI beyond the lab: current trends and future directions

P Aricò, G Borghini, G Di Flumeri… - Physiological …, 2018 - iopscience.iop.org
Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real …

[HTML][HTML] Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review

KS Hong, MJ Khan - Frontiers in neurorobotics, 2017 - frontiersin.org
In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …

Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS

M Causse, Z Chua, V Peysakhovich, N Del Campo… - Scientific reports, 2017 - nature.com
An improved understanding of how the brain allocates mental resources as a function of task
difficulty is critical for enhancing human performance. Functional near infrared spectroscopy …

[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 …

Measuring mental workload with EEG+ fNIRS

H Aghajani, M Garbey, A Omurtag - Frontiers in human neuroscience, 2017 - frontiersin.org
We studied the capability of a Hybrid functional neuroimaging technique to quantify human
mental workload (MWL). We have used electroencephalography (EEG) and functional near …

Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS

C Herff, D Heger, O Fortmann, J Hennrich… - Frontiers in human …, 2014 - frontiersin.org
When interacting with technical systems, users experience mental workload. Particularly in
multitasking scenarios (eg, interacting with the car navigation system while driving) it is …