Research Article
Agent-based Collaborative Affective E-learning System
@INPROCEEDINGS{10.4108/ICST.IMMERSCOM2007.2090, author={M. Ben Ammar and Adel M.Alim and Mahmoud Neji and Guy Gouard\'{e}res}, title={Agent-based Collaborative Affective E-learning System}, proceedings={1st Intenational ICST Conference on Immersive Telecommunications \& Workshops}, proceedings_a={IMMERSCOM}, year={2010}, month={5}, keywords={Affective communication virtual environments virtual entities affective states e-learning systems}, doi={10.4108/ICST.IMMERSCOM2007.2090} }- M. Ben Ammar
Adel M.Alim
Mahmoud Neji
Guy Gouardères
Year: 2010
Agent-based Collaborative Affective E-learning System
IMMERSCOM
ICST
DOI: 10.4108/ICST.IMMERSCOM2007.2090
Abstract
In order to promote a more dynamic and flexible communication between the learner and the system, we integrate five kinds of adaptive agents in emotional framework. We focus on human facial characteristics to develop general-purpose agents that can recognize human emotion and create emotional framework with the implications of peer-to-peer technology. Emotions play an important role in cognitive processes and specially in learning tasks. Online learning is no exception. Detecting a learner’s emotional reaction for a given situation is an essential element for every e-learning system. In this paper a system for identifying facial expressions by using facial features is presented, it can recognizes 6 basic emotional expressions (happiness, sadness, surprise, fear, anger, and disgust).
