Uncertainty corpus: Resource to study user affect in complex spoken dialogue systems

Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008

Volumn , Issue , 2008, Pages 513-517

  Forbes Riley, Kate ^a   Litman, Diane ^a   Silliman, Scott ^a   Purandare, Amruta ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LOG FILE; NATURALLY OCCURRING; POSSIBLE FUTURES; REAL TIME; SPOKEN DIALOGUE; SPOKEN DIALOGUE SYSTEM; TUTORING SYSTEM; WIZARD OF OZ;

SPEECH PROCESSING;

EID: 84859793499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. H. Ai, D. Litman, K. Forbes-Riley, M. Rotaru, J. Tetreault, and A. Purandare. 2006. Using system and user performance features to improve emotion detection in spoken tutoring dialogs. In Proceedings of Interspeech, pages 797-800, Pittsburgh, PA.
2. 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 J. H. L. Hansen and B. Pellom, editors, Proceedings of the International Conference on Spoken Language Processing (ICSLP), pages 2037-2039, Denver, USA.
3. A. Batliner, K. Fischer, R. Huber, J. Spilker, and E. Noth. 2003. How to find trouble in communication. Speech Communication, 40(1-2):117-143.
4. A. Batliner, C. Hacker, S. Steidl, E. Noth, and J. Haas. 2004. From emotion to interaction: Lessons from real human-machine dialogues. In E. Andre, L. Dybkjær, W. Minker, and P. Heisterkamp, editors, Affective Dialogue Systems, Proceedings of a Tutorial and Research Workshop, volume 3068 of Lecture Notes in Artificial Intelligence, pages 1-12, Berlin. Springer-Verlag.
5. K. Bhatt, M. Evens, and S. Argamon. 2004. Hedged responses and expressions of affect in human/human and human/computer tutorial interactions. In Proceedings of Cognitive Science (CogSci), pages 114-119, Chicago, USA.
6. R. Cowie and R. R. Cornelius. 2003. Describing the emotional states that are expressed in speech. Speech Communication, 40(1-2):5-32.
7. S. Craig, A. Graesser, J. Sullins, and B. Gholson. 2004. Affect and learning: an exploratory look into the role of affect in learning with AutoTutor. Journal of Educational Media, 29(3):241-250.
8. K. Forbes-Riley and D. Litman. 2008. Analyzing dependencies between student certainness states and tutor responses in a spoken dialogue corpus. In L. Dybkjaer and W. Minker, editors, Recent Trends in Discourse and Dialogue, pages 275-304. Springer.
9. K. Forbes-Riley, D. Litman, and M. Rotaru. 2008a. Responding to student uncertainty during computer tutoring: A preliminary evaluation. In Proceedings of the 9th International Conference on Intelligent Tutoring Systems (ITS), Montreal, Canada, June.
10. K. Forbes-Riley, M. Rotaru, and D. Litman. 2008b. The relative impact of student affect on performance models in a spoken dialogue tutoring system. User Modeling and User-Adapted Interaction, 18(1-2):11-43, February.
11. J. Liscombe, J. Venditti, and J. Hirschberg. 2003. Classifying subject ratings of emotional speech using acoustic features. In Proceedings of Interspeech/EuroSpeech, pages 725-728, Geneva, Switzerland.
12. D. Litman and K. Forbes-Riley. 2006. Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors. Speech Communication, 48(5):559-590.
13. 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.
14. H. Pon-Barry, K. Schultz, E. Owen Bratt, B. Clark, and S. Peters. 2006. Responding to student uncertainty in spoken tutorial dialogue systems. International Journal of Artificial Intelligence in Education, 16:171-194.
15. I. Shafran, M. Riley, and M. Mohri. 2003. Voice signatures. In Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pages 31-36, St. Thomas, US Virgin Islands.
16. K. VanLehn, S. Siler, and C. Murray. 2003. Why do only some events cause learning during human tutoring? Cognition and Instruction, 21(3):209-249.
17. L. Vidrascu and L. Devillers. 2005. Detection of real-life emotions in dialogs recorded in a call center. In Proceedings of INTERSPEECH, Lisbon, Portugal.
18. Marilyn Walker, Rebecca Passonneau, and Julie Boland. 2001. Quantitative and qualitative evaluation of darpa communicator spoken dialogue systems. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), pages 515-522, Toulouse, France.