Abstract
Emotions are an important issue in user modeling. This paper presents a proposal for an Affective Tutoring System (ATS) that can recognise emotions through automated facial expression and gesture analysis, and show emotions through an animated agent. The domain of the system will be addition for 8 to 9 year olds. An observational study of human tutors has been conducted as a basis for developing the tutoring strategies of the ATS.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Fan, C., Johnson, M., Messom, C., Sarrafzadeh, A.: Machine Vision for an Intelligent Tutor. In: Proceedings of the International Conference on Computational Intelligence, Robotics and Autonomous Systems, Singapore (2003)
Kort, B., Reilly, R., Picard, R.W.: An Affective Model of Interplay Between Emotions and Learning: Reengineering Educational Pedagogy - Building a Learning Companion. In: IEEE International Conference on Advanced Learning Technologies, pp. 43–48 (2001)
Lisetti, C.L., Nasoz, F., Lerouge, C., Ozyer, O., Alvarez, K.: Developing Multimodal Intelligent Affective Interfaces for Tele-Home Health Care. International Journal of Human-Computer Studies 59(1-2), 245–255 (2003)
Litman, D., Forbes, K.: Recognizing Emotions from Student Speech in Tutoring Dialogues. In: Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), St. Thomas, Virgin Islands (2003)
van Mulken, S., André, E., Muller, J.: The persona effect: How substantial is it? In: Proceedings of Human Computer Interaction, Berlin, Germany (1998)
Nasoz, F., Lisetti, C.L., Alvarez, K., Finelstein, N.: Emotional Recognition from Physiological Signals for User Modeling of Affect. In: Proceedings of the 3rd Workshop on Affective and Attitude User Modeling, Pittsburgh (2003)
New Zealand Ministry of Education: Book 1, The Number Framework. Numeracy Professional Development Projects. Ministry of Education, Wellington (2003)
Pantic, M., Rothkrantz, L.J.M.: Toward an affect-sensitive multimodal human-computer interaction. Proceedings of the IEEE 91(9), 1370–1390 (2003)
Person, N.K., Graesser, A.C.: The Tutoring Research Group: Fourteen facts about human tutoring: Food for thought for ITS developers. In: AI-ED 2003 Workshop Proceedings on Tutorial Dialogue Systems: With a View Toward the Classroom, Sydney, Australia (2003)
Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Alexander, S. (2005). Modeling Emotions from Non-verbal Behaviour in an Affective Tutoring System. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_67
Download citation
DOI: https://doi.org/10.1007/11527886_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27885-6
Online ISBN: 978-3-540-31878-1
eBook Packages: Computer ScienceComputer Science (R0)