Advanced User Interfaces for e-Learning

Luca Bevilacqua, Nicola Capuano, Annunziata Cascone, Federico Ceccarini, Fabio Corvino, Ciro D'Apice, Ivano De Furio, Giovanna Scafuro, Gianluca Supino


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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Journal of e-Learning and Knowledge Society | ISSN (online) 1971 - 8829 | ISSN (paper) 1826 - 6223 © 2017 Je-LKS - Italian e-Learning Association (SIe-L).