Abstract
This paper studies the influence of learner’s affective states on the EEG-mental engagement index during a problem solving task. The electrical activity of the human brain, known as electroencephalography or EEG was registered according to an acquisition protocol in a learning environment specifically constructed for emotional elicitation. Data was gathered from 35 healthy subjects using 8 biosensors and two video cameras. The effect of learners’ emotional states on the engagement index was analyzed as well as their impact on response time variability.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Koedinger, K.R., Corbett, A.T., Ritter, S., Shapiro, L.J.: Carnegie Learning’s Cognitive Tutor: Summary research results. Carnegie Learning, Pittsburgh (2000)
Guillford, J.P., Höpgner, R.: The Analysis of Intelligence. McGraw-Hill Book Company, New York (1971)
Pope, A.T., Bogart, E.H., Bartolome, D.S.: Biocybernetic system evaluation indices of operator engagement in automated task. Biological psychology 40(9) (1995)
Lang, P.J.: The emotion probe: studies of motivation and attention. American Psychologist 50(14) (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chaouachi, M., Frasson, C. (2010). Exploring the Relationship between Learner EEG Mental Engagement and Affect. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_48
Download citation
DOI: https://doi.org/10.1007/978-3-642-13437-1_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13436-4
Online ISBN: 978-3-642-13437-1
eBook Packages: Computer ScienceComputer Science (R0)