Neurophysiological measures of cognitive workload during human-computer interaction

By Alan S. Gevins, Michael E. Smith. 2003

445 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Social Psychology

View Paper: https://www.semanticscholar.org/paper/fb9a32e36586fbef854948031abb5e7f3f19706c

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Citations in the corpus

Pay attention!: designing adaptive agents that monitor and improve user engagement (2012, background): “EEG data is collected via electrodes sensitive to these changes arrayed across the scalp and is generally sequenced into signals classiﬁed by frequency (see Figure 2) that have been shown to be affected by cognitive loads in predictable ways [16].”
Using Electroencephalography to Measure Cognitive Load (2010, background): “…also shows that EEG can be used to detect variations in cognitive load as a result of differences between students, which is in line with studies that have shown that individuals with higher levels of intelligence show lower ERD in the alpha band (Gevins and Smith 2003; Grabner et al. 2004, 2006).”
Performance Enhancement in an Uninhabited Air Vehicle Task Using Psychophysiologically Determined Adaptive Aiding (2007, methodology): “…show that high cognitive workload levels increase theta and reduce alpha over the parietal scalp areas where the EEG activity for the EI was recorded (Brookings et al., 1996; Fairclough, Venables, & Tattersall, 2005; Fournier, Wilson, & Swain, 1999; Gevins & Smith, 2003; Hankins & Wilson, 1998).”
Optical brain monitoring for operator training and mental workload assessment (2012, unknown): “measures can also index the level of mental demand associated with a given task because they can provide continuous and unobtrusive monitoring of the operator and do not interferewith an operator's work as do secondary-task performance or subjective measures of workload (Gevins et al., 1997; Gevins ”
Evaluation of mental workload with a combined measure based on physiological indices during a dual task of tracking and mental arithmetic (2005, background): “Furthermore, EEG can be monitored outside of specialized laboratory environments, because of the compactness of the associated technology, whereas other functional neuroimaging modalities require massive machinery, large teams of technicians, and complete immobilization of the subject (Gevins and Sm”
The influence of performance feedback on goal-setting and mental effort regulation (2009, background): “(EEG). There is evidence that alpha activity is inversely related to glucose metabolism in the brain (Larson et al. 1998) and that increased mental effort is associated with suppression of alpha activity, particularly from the frontal areas ( Gevins and Smith 2003 ).”