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 …
Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics …
The Berlin brain–computer interface: non-medical uses of BCI technology
Brain–computer interfacing (BCI) is a steadily growing area of research. While initially BCI
research was focused on applications for paralyzed patients, increasingly more alternative …
research was focused on applications for paralyzed patients, increasingly more alternative …
[HTML][HTML] Cognitive load, working memory capacity and driving performance: A preliminary fNIRS and eye tracking study
DP Broadbent, G D'Innocenzo, TJ Ellmers… - … research part F: traffic …, 2023 - Elsevier
A common cause of road traffic incidents is driver distraction, which can occur when the
driver's attention is engaged in a concurrent secondary task. However, the relationship …
driver's attention is engaged in a concurrent secondary task. However, the relationship …
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 …
in driver error. This research examined the mental workload of drivers caused by changes in …
Enabling always-available input with muscle-computer interfaces
Previous work has demonstrated the viability of applying offline analysis to interpret forearm
electromyography (EMG) and classify finger gestures on a physical surface. We extend …
electromyography (EMG) and classify finger gestures on a physical surface. We extend …
[HTML][HTML] Measuring mental workload variations in office work tasks using fNIRS
The motivation behind using physiological measures to estimate cognitive activity is typically
to build technology that can help people to understand themselves and their work, or indeed …
to build technology that can help people to understand themselves and their work, or indeed …
Frequency-domain techniques for cerebral and functional near-infrared spectroscopy
S Fantini, A Sassaroli - Frontiers in neuroscience, 2020 - frontiersin.org
This article reviews the basic principles of frequency-domain near-infrared spectroscopy (FD-
NIRS), which relies on intensity-modulated light sources and phase-sensitive optical …
NIRS), which relies on intensity-modulated light sources and phase-sensitive optical …
Matching with shape contexts
We present a novel approach to measuring similarity between shapes and exploit it for
object recognition. In our framework, the measurement of similarity is preceded by (1) …
object recognition. In our framework, the measurement of similarity is preceded by (1) …
A survey of workload assessment algorithms
Supervisory control environments, such as the NASA control room can induce high workload
levels in situations where a single error is capable of costing millions of dollars. An …
levels in situations where a single error is capable of costing millions of dollars. An …
Multisubject “learning” for mental workload classification using concurrent EEG, fNIRS, and physiological measures
Y Liu, H Ayaz, PA Shewokis - Frontiers in human neuroscience, 2017 - frontiersin.org
An accurate measure of mental workload level has diverse neuroergonomic applications
ranging from brain computer interfacing to improving the efficiency of human operators. In …
ranging from brain computer interfacing to improving the efficiency of human operators. In …