Abstract
This paper describes a novel research approach for affective reasoning that aims at recognizing user emotions within an educational application. The novel approach is based on information about users that arises from two modalities (keyboard and microphone) and is processed based on a combination of the user stereotypes theory and a decision making theory. The resulting system is called Educational Affective Tutor (EAT). EAT is an educational system that helps students learn geography and supports bi-modal interaction. The main focus of this paper is to show how affect recognition is designed based on and empirical study aimed at finding common user reactions that expressed user feelings while they interacted with computers.
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Alepis, E., Virvou, M., Kabassi, K. (2008). Affective Reasoning Based on Bi-modal Interaction and User Stereotypes. In: Tsihrintzis, G.A., Virvou, M., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia. Studies in Computational Intelligence, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68127-4_54
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DOI: https://doi.org/10.1007/978-3-540-68127-4_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68126-7
Online ISBN: 978-3-540-68127-4
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