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 …

Multimodal fusion for objective assessment of cognitive workload: A review

E Debie, RF Rojas, J Fidock, M Barlow… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Considerable progress has been made in improving the estimation accuracy of cognitive
workload using various sensor technologies. However, the overall performance of different …

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 …

A systematic review on hybrid EEG/fNIRS in brain-computer interface

Z Liu, J Shore, M Wang, F Yuan, A Buss… - … Signal Processing and …, 2021 - Elsevier
As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …

An evaluation of mental workload with frontal EEG

WKY So, SWH Wong, JN Mak, RHM Chan - PloS one, 2017 - journals.plos.org
Using a wireless single channel EEG device, we investigated the feasibility of using short-
term frontal EEG as a means to evaluate the dynamic changes of mental workload. Frontal …

Using Wireless EEG Signals to Assess Memory Workload in the -Back Task

S Wang, J Gwizdka… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Assessment of mental workload using physiological measures, especially
electroencephalography (EEG) signals, is an active area. Recently, a number of wireless …

Effects of user mental state on EEG-BCI performance

A Myrden, T Chau - Frontiers in human neuroscience, 2015 - frontiersin.org
Changes in psychological state have been proposed as a cause of variation in brain-
computer interface performance, but little formal analysis has been conducted to support this …

Electroencephalographic workload indicators during teleoperation of an unmanned aerial vehicle shepherding a swarm of unmanned ground vehicles in contested …

R Fernandez Rojas, E Debie, J Fidock… - Frontiers in …, 2020 - frontiersin.org
Background: Although many electroencephalographic (EEG) indicators have been
proposed in the literature, it is unclear which of the power bands and various indices are …

Hybrid fNIRS-EEG based classification of auditory and visual perception processes

F Putze, S Hesslinger, CY Tse, YY Huang… - Frontiers in …, 2014 - frontiersin.org
For multimodal Human-Computer Interaction (HCI), it is very useful to identify the modalities
on which the user is currently processing information. This would enable a system to select …

Input technologies and techniques

K Hinckley - The human-computer interaction handbook, 2007 - taylorfrancis.com
What's An Input Device Anyway?................ 162Understanding Input Technologies..............
162Input Device Properties........................ 162Property sensed........................... 162Number of …