The purpose of this effort is to introduce a novel approach which can be used to determine how multiple minimally intrusive physiological sensors can be used together and validly applied to areas such as Augmented Cognition and Neuroergonomics. While researchers in these fields have established the utility of many physiological measures for informing when to adapt systems, the use of such measures together remains limited. Specifically, this effort will provide a contextual explanation of cognitive state, workload, and the measurement of both; provide a brief discussion on several relatively noninvasive physiological measures; explore what a modular cognitive state gauge should consist of; and finally, propose a framework based on the previ...
While studies exist that compare different physiological variables with respect to their association...
Estimating cognitive or affective state from neurophysiological signals and designing applications t...
The central question of this Frontiers Research Topic is: What can we learn from brain and other phy...
Many current and emerging systems for Cognitive State Assessment have yet to achieve the goals requi...
The effects of cognitive load on driver behavior and traffic safety are unclear and in need of furth...
AbstractThis paper reviews psychophysiological measures applied in Human Computer Interaction (HCI) ...
A sample of 33 experiments was extracted from the Web-of-Science database over a 5-year period (2016...
Technological advances have led to physiological measurement being increasingly used to measure and ...
Adaptive automation shall support users in a flexible way. One way to achieve this could be by monit...
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
Cognitive load plays an important role during learning and working, as it has been linked to well-fu...
The focus of this paper is on the critical challenge of bridging the gap between psychophysiological...
Inferring cognitive state from non invasive neurophysiological sensors is a challenging task even in...
Estimating cognitive or affective state from neurophysiological signals and designing applications t...
While studies exist that compare different physiological variables with respect to their association...
Estimating cognitive or affective state from neurophysiological signals and designing applications t...
The central question of this Frontiers Research Topic is: What can we learn from brain and other phy...
Many current and emerging systems for Cognitive State Assessment have yet to achieve the goals requi...
The effects of cognitive load on driver behavior and traffic safety are unclear and in need of furth...
AbstractThis paper reviews psychophysiological measures applied in Human Computer Interaction (HCI) ...
A sample of 33 experiments was extracted from the Web-of-Science database over a 5-year period (2016...
Technological advances have led to physiological measurement being increasingly used to measure and ...
Adaptive automation shall support users in a flexible way. One way to achieve this could be by monit...
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
Cognitive load plays an important role during learning and working, as it has been linked to well-fu...
The focus of this paper is on the critical challenge of bridging the gap between psychophysiological...
Inferring cognitive state from non invasive neurophysiological sensors is a challenging task even in...
Estimating cognitive or affective state from neurophysiological signals and designing applications t...
While studies exist that compare different physiological variables with respect to their association...
Estimating cognitive or affective state from neurophysiological signals and designing applications t...
The central question of this Frontiers Research Topic is: What can we learn from brain and other phy...