The Improvement of the Emotionnel State of Learner Using a Conversational Emotional Agent
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Abstract
Emotions are now seen as closely related to cognition processes including decision-making, memory, attention, etc. Thus, e-learning environments have begun to take into consideration the emotional state of the learner in order to enhance his performance. This paper aims at the conception of an affective and animated conversional agent which is responsible for the emotional interaction between students and tutors in a learning environment. The agent catches the student's affective state by his observable behavior, and applies actions according to the student's affective state. We describe each of its components: we first review, in section 1 a brief introduction to the e-learning in emotional environment, in section 2 we present some of previous works, in section 3 we discuss our proposed work and we terminate with a conclusion and perspectives.
Keywords: ECA, emotion, emotional conversational agent, PECS.