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This paper outlines an original approach to e-learning systems which integrates the most recent results in the feld of human-computer interaction.
Notably it will show the applicability of multimodal, attentive, affective and perceptual user interfaces to monitor the students’ behavior during their interaction with an e-learning system, in order to measure their attention level and involvement and promptly provide the necessary support to carry out an effective learning process.


multimodal e-learning attentive use interface affective user interface perceptual user interface

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How to Cite
Bevilacqua, L., Capuano, N., Cascone, A., Ceccarini, F., Corvino, F., D’Apice, C., De Furio, I., Scafuro, G., & Supino, G. (2009). Advanced User Interfaces for e-Learning. Journal of E-Learning and Knowledge Society, 5(3).