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In this article we describe a new approach for electronic learning applications to interact with their users. First we discuss our motivation to build affectively intelligent user interfaces that can recognize learning related emotions and adapt to these through user modeling. In the remainder of the paper we describe the experiment we designed to elicit learning related emotions from students in order collect their physiological signals while they are experiencing those emotions and to classify those physiological signals into emotional states with pattern recognition algorithms.

Affectively Intelligent User Interfaces for Enhanced E-Learning Applications