Towards emotionally-intelligent pedagogical agents

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5091 LNCS, Issue , 2008, Pages 19-28

  Zakharov, Konstantin ^a   Mitrovic, Antonija ^a   Johnston, Lucy ^b  

^a Intelligent Computer Tutoring Group   (New Zealand)

^b UNIVERSITY OF CANTERBURY   (New Zealand)

Author keywords

Affect recognition; Affective pedagogical agents; Emotional intelligence; Evaluation; Facial feature tracking

Indexed keywords

COMPUTER AIDED INSTRUCTION; EMOTIONAL INTELLIGENCE; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; STUDENTS;

AFFECT RECOGNITION; AFFECTIVE STATE; DATABASE DESIGN; EVALUATION; FACIAL FEATURE TRACKING; INTELLIGENT PEDAGOGICAL AGENTS; PEDAGOGICAL AGENTS; USERS' AFFECTIVE STATE;

FACE RECOGNITION;

EID: 70349881930     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69132-7_7     Document Type: Conference Paper

References (18)

1. Kort, B., Reilly, R.: An Affective Module for an Intelligent Tutoring System. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol.2363, pp. 955-962. Springer, Heidelberg (2002)
2. Bloom, B.S.: The 2 Sigma Problem: The Search for Method of Group Instruction as Effective as One-to-One Tutoring. Educational Researcher 13, 4-16 (1984)
3. Bickmore, T.W.: Unspoken Rules of Spoken Interaction. Communications of the ACM 47, 38-44 (2004)
4. Mishra, P., Hershey, K.A.: Etiquette and the Design of Educational Technology. Communications of the ACM 47, 45-49 (2004)
5. Klein, J., Moon, Y., Picard, R.W.: This Computer Responds to User Frustration: Theory, Design, and Results. Interacting with Computers 14, 119-140 (2002)
6. Zakharov, K., Mitroviæ, A., Ohlsson, S.: Feedback Micro-engineering in EER-Tutor. In: Proc. AIED 2005, pp. 718-725 (2005)
7. Goleman, D.: Emotional Intelligence. Bantam Books, New York (1995)
8. D'Mello, S., Picard, R., Graesser, A.: Toward an Affect-Sensitive AutoTutor. IEEE Intelligent Systems 22, 53-61 (2007)
9. Csikzentmihalyi, M.: Flow: The Psychology of Optimal Experience. HarperPerennial, New York (1990)
10. Myers, D.G.: Psychology. Worth Publishers, New York (1998)
11. Burleson, W., Picard, R.W.: Gender-Specific Approaches to Developing Emotionally Intelligent Learning Companions. IEEE Intelligent Systems 22, 62-69 (2007)
12. Plutchik, R.: Emotions: A Psychoevolutionary Synthesis. Harper and Row, New York (1980)
13. Bradley, M.M., Lang, P.J.: Measuring Emotion: Behavior, Feeling and Physiology. In: Cognitive Neuroscience of Emotion, pp. 242-276. Oxford University Press, New York (2000)
14. Ekman, P., Friesen, W.V.: Facial Action Coding System. Consulting Psychologists Press (1978)
15. Tian, Y.-L., Kanade, T., Cohn, J.: Recognizing Action Units for Facial Expression Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 97-115 (2001)
16. Pandzic, I.S., Forchheimer, R.: MPEG-4 Facial Animation: The Standard, Implementation and Applications. John Wiley and Sons (2002)
17. Nass, C., Brave, S.: Wired for Speech: How Voice Activates and Advances the Human- Computer Relationship. The MIT Press (2005)
18. Kay, J.: Learner Control. User Modeling and User-Adapted Interaction 11, 111-127 (2001)