Adaptive training using an artificial neural network and EEG metrics for within- and cross-task workload classification
- 1 January 2012
- journal article
- Published by Elsevier BV in NeuroImage
- Vol. 59 (1), 48-56
- https://doi.org/10.1016/j.neuroimage.2011.07.047
Abstract
No abstract availableKeywords
Funding Information
- ONR/NRL (N00173-09-2-C002)
- AFOSR/AFRL (FA9550-10-1-0385)
- Center of Excellence in Neuroergonomics, Technology, and Cognition (CENTEC)
This publication has 46 references indexed in Scilit:
- Using Electroencephalography to Measure Cognitive LoadEducational Psychology Review, 2010
- The influence of task demand and learning on the psychophysiological responseInternational Journal of Psychophysiology, 2005
- Distracted and confused?: Selective attention under loadTrends in Cognitive Sciences, 2005
- Putting Things into PerspectiveExperimental Psychology, 2005
- Real-Time Assessment of Mental Workload Using Psychophysiological Measures and Artificial Neural NetworksHuman Factors: The Journal of the Human Factors and Ergonomics Society, 2003
- Effects of Adaptive Task Allocation on Monitoring of Automated SystemsHuman Factors: The Journal of the Human Factors and Ergonomics Society, 1996
- Individual Differences in Working Memory Capacity: More Evidence for a General Capacity TheoryMemory, 1996
- Psychophysiological responses to changes in workload during simulated air traffic controlBiological Psychology, 1996
- Language Comprehension: Sentence and Discourse ProcessingAnnual Review of Psychology, 1995
- Differences in spatial knowledge acquired from maps and navigationCognitive Psychology, 1982