A framework for affective intelligent tutoring systems

7th International Conference on Information Technology Based Higher Education and Training, ITHET

Volumn , Issue , 2006, Pages 126-132

  Nkambou, Roger ^a,b  

^a IEEE

^b UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

Author keywords

Emotional agent; Intelligent tutoring systems; Student modeling; Tutoring feedback

Indexed keywords

COMPUTER AIDED INSTRUCTION; DECISION MAKING; E-LEARNING; INFORMATION RETRIEVAL SYSTEMS; INFORMATION TECHNOLOGY; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PROBLEM SOLVING; STUDENTS;

COGNITIVE ACTIVITIES; COGNITIVE ASPECTS; FACE MOVEMENTS; HIGHER EDUCATION (HE); HUMAN ADAPTATION; IN ORDER; INTELLIGENT TUTORING SYSTEM (ITS); INTELLIGENT TUTORING SYSTEMS (ITS); INTERNATIONAL CONFERENCES; LEARNING PROCESSES; MULTI-MODAL; NON-VERBAL COMMUNICATIONS; REAL WORLD; SOCIAL CONTEXTS; TECHNOLOGY BASED; TUTORING DIALOGUES; TUTORING SYSTEMS;

EDUCATION;

EID: 46949093711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITHET.2006.339720     Document Type: Conference Paper

References (24)

1. Pintrich, P. R.; and Schrauben, B. 1992. Students'motivational beliefs and their cognitive engagement in classroom tasks. In Schunk, D., and Meece, J. eds. Student perceptions in the classroom: Causes and consequences. Hillsdale, NJ: Erlbaum, 149-183.
2. Damasio, A. 1999. The Feelings of What Happens. Body and Emotion in the Making of Consciousness. New York: Harcourt Brace & Compagny.
3. Thompson, R. A. 1994. Emotional regulation: A theme in search of definition. In Fox N.A. ed., The development of emotional regulation: Biological and behavioural considerations. University Press of Chicago.
4. Kapoor, A. and Picard, R.W. 2005. Multimodal affect recognition in learning environments. ACM Multimedia 2005: 677-682
5. Minsky, M., "The society of mind", Simon and Schuster, New York, 1987.
6. Ortony, A., Clore, G. L, & Collins, A., "The cognitive structure of emotions", Cambridge University Press, 1988.
7. Toda, M., Man, robot and society. 1982, La Hague: Nijhoff.
8. Velàsquez, J.D. Modeling emotions and other motivations in synthetic agents, in Fourteenth national conference on artificial intelligence and ninth innovative applications of artificial intelligence conference. 1997. Menlo Park.
9. Roseman, I.J., Cognitive determinants of emotions: a structural theory, in Review of personality and social psychology, S. P., Editor. 1984, Sage: Beverly Hills, C.A.
10. Roseman, I.J., A.A. Antoniou, and P.A. Jose, Appraisal determinants of emotions: Constructing a more accurate and comprehensive theory. Cognition and emotion, 1996. 10(3): p. 241-277.
11. Elliot, C., J. Rickel, and L.J. C. Integrating affective computing into animated tutoring agents, in IJCAI Workshop on animated interface agents: making them intelligent. 1997. Nagoya.
12. Gratch, J. Emile: Marshaling passions in training and education, in The fourth international conference on autonomous agents. 2000: ACM Press.
13. Rickel, J. and L. Johnson, Animated agents for procedural training in virtual reality: perception, cognition and motor control. Applied artificiel intelligence, 1998. 13.
14. Chaffar, S. and Frasson, C. 2005. The Emotional Conditions of Learning. Proceedings of the FLAIRS'2005, pp. 201-206
15. Tchetagni, J., Nkambou, R. and Kabanza, F. 2004. Epistemological Remediation in Intelligent Tutoring Systems. Proceedings of the 17th IEA-AIE, pp. 955-966. LNAI 3029, Springer-Verlag, Berlin.
16. Pantic, M. and Rothkrantz, L. M J. 2000. Automatic analysis of facial expressions : the state of the art. IEEE Transactions on Pattern analysis and Machine Intelligence, 22(12), pp. 1424-1445.
17. Ekman, P. and Friesen, W. V. 1978. The Facial Action Coding System: A Technique for the Measurement of Facial Movement. Palo Alto: Consulting Psychologists Press.
18. Donato, G. et al. 1999. Classifying Facial Actions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(10), pp. 974-989.
19. Turk, M., Pentland, A. 1991. Eigenfaces for recognition. Journal of Cognitive NeuroScience. 3(1), pp. 71-86.
20. Penev, P.S., Atick, J.J. 1996. Local feature analysis : a general statistical theory for object representation. Network : Computation in Neural Systems, 7(3), pp. 477-500.
21. Gross, R., Matthews, I. and Baker, S. 2004. Appearance-based face recognition and light-fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(4), pp. 449-465.
22. Calder, A.,J., et al. 2001. A principal component analysis of facial expression. Vision Research, 41(9), pp. 1179-1208.
23. Golman, D. 1995. Emotional intelligence. New York: Bantam Books.
24. Massaro, D.W.; Cohen, M.M.; Beskow, J.; and Cole, R.A. 2000 Developing and evaluating conversational agents. In Cassell, J., Sullivan, J., Prevost, S., and Churchill, E. eds. Embodied Conversational Agents. Cambridge: MIT Press 287-318.