Feasibility and pragmatics of classifying working memory load with an electroencephalograph
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Are You Really Looking? Finding the Answer through Fixation Patterns and EEG
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Multi-modal affect induction for affective brain-computer interfaces
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Alpha oscillations correlate with the successful inhibition of unattended stimuli
Journal of Cognitive Neuroscience
Brain-Computer interface games: towards a framework
ICEC'12 Proceedings of the 11th international conference on Entertainment Computing
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While a BCI usually aims to provide an alternative communication channel for disabled users who have difficulties to move or to speak, we focused on BCIs as a way to retrieve and use information about an individual's cognitive or affective state without requiring any effort or intention of the user to convey this information. Providing only an extra channel of information rather than a replacement of certain functions, such BCIs could be useful for healthy users as well. We describe the results of our studies on neurophysiological correlates of attention, workload and emotion, as well as our efforts to include physiological variables. We found different features in EEG to be indicative of attention and workload, while emotional state may be better measured by physiological variables like heart rate and skin conductance. Potential applications are described. We argue that major challenges lie in hardware and generalization issues.