Advanced User Interfaces for e-Learning

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