The Role of Affect in an Agent-Based Collaborative E-Learning System Used for Engineering Education

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Author(s): Mohamed Ben Ammar (University of Sfax, Tunisia), Mahmoud Neji (University of Sfax, Tunisia)and Adel M. Alimi (University of Sfax, Tunisia)
Copyright: 2009
Pages: 19
Source title: Handbook of Research on Socio-Technical Design and Social Networking Systems
Source Author(s)/Editor(s): Brian Whitworth (Massey University (Albany), Auckland, New Zealand)and Aldo de Moor (CommunitySense, The Netherlands)
DOI: 10.4018/978-1-60566-264-0.ch034

Keywords: Information Science Reference / Media & Communications / Social Computing / Social Networking

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Abstract

Affective computing is a new artificial intelligence area that deals with the possibility of making computers able to recognize human emotions in different ways. This chapter represents an implemented framework, which integrates this new area with an intelligent tutoring system. The authors argue that tutor agents providing socially appropriate affective behaviors would provide a new dimension for collaborative learning systems. The main goal is to analyse learner facial expressions and show how affective computing could contribute to learning interactions, both by recognizing learner emotions during learning sessions and by responding appropriately.

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The Role of Affect in an Agent-Based Collaborative E-Learning System Used for Engineering Education

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