Predicting student emotions in computer-human tutoring dialogues

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2004, Pages 351-358

  Litman, Diane J ^a   Forbes Riley, Kate ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; FORECASTING;

EMOTION PREDICTIONS; ERROR REDUCTION; LEXICAL FEATURES; LEXICAL ITEMS; MACHINE-LEARNING; PROSODIC FEATURES; SPEECH FEATURES; SPEECH SIGNALS; STUDENT EMOTIONS; TUTORING DIALOGUES;

STUDENTS;

EID: 83655166146     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. G. Aist, B. Kort, R. Reilly, J. Mostow, and R. Picard. 2002. Experimentally augmenting an intelligent tutoring system with human-supplied capabilities: Adding Human-Provided Emotional Scaffolding to an Automated Reading Tutor that Listens. In Proc. Intelligent Tutoring Systems.
2. V. Aleven and C. P. Rose, editors. 2003. Proc. AI in Education Workshop on Tutorial Dialogue Systems: With a View toward the Classroom.
3. J. Ang, R. Dhillon, A. Krupski, E.Shriberg, and A. Stolcke. 2002. Prosody-based automatic detection of annoyance and frustration in human-computer dialog. In Proc. International Conf. on Spoken Language Processing (ICSLP).
4. A. Batliner, K. Fischer, R. Huber, J. Spilker, and E. Nöth. 2000. Desperately seeking emotions: Actors, wizards, and human beings. In Proc. ISCA Workshop on Speech and Emotion.
5. A. Batliner, K. Fischer, R. Huber, J. Spilker, and E. Noth. 2003. How to find trouble in communication. Speech Communication, 40:117–143.
6. K. Bhatt, M. Evens, and S. Argamon. 2004. Hedged responses and expressions of affect in human/human and human/computer tutorial interactions. In Proc. Cognitive Science.
7. C. Conati, R. Chabbal, and H. Maclaren. 2003. A study on using biometric sensors for monitoring user emotions in educational games. In Proc. User Modeling Workshop on Assessing and Adapting to User Attitudes and Effect: Why, When, and How?
8. L. Devillers, L. Lamel, and I. Vasilescu. 2003. Emotion detection in task-oriented spoken dialogs. In Proc. IEEE International Conference on Multimedia & Expo (ICME).
9. K. Forbes-Riley and D. Litman. 2004. Predicting emotion in spoken dialogue from multiple knowledge sources. In Proc. Human Language Technology Conf. of the North American Chap. of the Assoc. for Computational Linguistics (HLT/NAACL).
10. A. Graesser, K. VanLehn, C. Rose, P. Jordan, and D. Harter. 2002. Intelligent tutoring systems with conversational dialogue. AI Magazine.
11. P. W. Jordan, M. Makatchev, and K. VanLehn. 2004. Combining competing language understanding approaches in an intelligent tutoring system. In Proc. Intelligent Tutoring Systems.
12. B. Kort, R. Reilly, and R. W. Picard. 2001. An affective model of interplay between emotions and learning: Reengineering educational pedagogy - building a learning companion. In International Conf. on Advanced Learning Technologies.
13. C.M. Lee, S. Narayanan, and R. Pieraccini. 2001. Recognition of negative emotions from the speech signal. In Proc. IEEE Automatic Speech Recognition and Understanding Workshop.
14. C.M. Lee, S. Narayanan, and R. Pieraccini. 2002. Combining acoustic and language information for emotion recognition. In International Conf. on Spoken Language Processing (ICSLP).
15. D. Litman and K. Forbes-Riley. 2004. Annotating student emotional states in spoken tutoring dialogues. In Proc. 5th SIGdial Workshop on Discourse and Dialogue.
16. D. Litman and K. Forbes. 2003. Recognizing emotion from student speech in tutoring dialogues. In Proc. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
17. D. Litman and S. Silliman. 2004. ITSPOKE: An intelligent tutoring spoken dialogue system. In Companion Proc. of the Human Language Technology Conf. of the North American Chap. of the Assoc. for Computational Linguistics (HLT/NAACL).
18. D. J. Litman, C. P. Rose, K. Forbes-Riley, K. VanLehn, D. Bhembe, and S. Silliman. 2004. Spoken versus typed human and computer dialogue tutoring. In Proc. Intelligent Tutoring Systems.
19. B. Maeireizo-Tokeshi, D. Litman, and R. Hwa. 2004. Co-training for predicting emotions with spoken dialogue data. In Companion Proc. Assoc. for Computational Linguistics (ACL).
20. S. Narayanan. 2002. Towards modeling user behavior in human-machine interaction: Effect of errors and emotions. In Proc. ISLE Workshop on Dialogue Tagging for Multi-modal Human Computer Interaction.
21. P-Y. Oudeyer. 2002. The production and recognition of emotions in speech: Features and Algorithms. International Journal of Human Computer Studies, 59(1-2):157–183.
22. I. Shafran, M. Riley, and M. Mohri. 2003. Voice signatures. In Proc. IEEE Automatic Speech RecognitionandUnderstandingWorkshop.
23. K. VanLehn, P. W. Jordan, C. P. Rosé, D. Bhembe, M. Böttner, A. Gaydos, M. Makatchev, U. Pappuswamy, M. Ringenberg, A. Roque, S. Siler, R. Srivastava, and R. Wilson. 2002. The architecture of Why2-Atlas: A coach for qualitative physics essay writing. In Proc. Intelligent Tutoring Systems.
24. I. H. Witten and E. Frank. 1999. Data Mining: Practical Machine Learning Tools and Techniques with Java implementations.