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 …

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 …

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 …

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 …

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 article, non-invasive hybrid brain–computer interface (hBCI) technologies for
improving classification accuracy and increasing the number of commands are reviewed …

Mental workload is reflected in driver behaviour, physiology, eye movements and prefrontal cortex activation

HJ Foy, P Chapman - Applied ergonomics, 2018 - Elsevier
Mental workload is an important factor during driving, as both high and low levels may result
in driver error. This research examined the mental workload of drivers caused by changes in …

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 …

[KIRJA][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 …