Main Article Content

Abstract

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.

Keywords

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

Article Details

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). https://doi.org/10.20368/1971-8829/356