Emotion detection in dialog systems: Applications, strategies and challenges

Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Volumn , Issue , 2009, Pages

  Burkhardt, Felix ^a   Van Ballegooy, Markus ^a   Engelbrecht, Klaus Peter ^a   Polzehl, Tim ^a   Stegmann, Joachim ^a  

^a DEUTSCHE TELEKOM LABORATORIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DIALOG SYSTEMS; EMOTION DETECTION; EMOTIONAL CLASSIFICATION; HUMAN COMMUNICATIONS; HUMAN-MACHINE; INTELLECTUAL ABILITY; POTENTIAL APPLICATIONS; REAL LIFE DATA; VOICE PORTAL;

INTELLIGENT COMPUTING;

EID: 77949401701     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACII.2009.5349498     Document Type: Conference Paper

References (24)

1. A. Batliner, F. Burkhardt, M. van Ballegooy, and E. Nöth. A taxonomy of applications that utilize emotional awareness. In Proc. of the Fifth Slovenian and First International Language Technologies Conference Ljubljana, pages 246-250, 2006.
2. C. Blouin and V. Maffiolo. A study on the automatic detection and characterization of emotion in a voice service context. Proc. Interspeech, Lisbon, 2005.
3. P. Boersma and D. Weenink. Praat: doing phonetics by computer (version 5.1.04). 2009.
4. F. Burkhardt, J. Ajmera, R. Englert, J. Stegmann, and W. Burleson. Detecting anger in automated voice portal dialogs. Proc. ICSLP, Pittsburgh, 2006.
5. F. Burkhardt, R. Huber, and J. Stegmann. Advances in anger detection with real life data. In Proceedings of Elektronische Sprachsignal Verarbeitung (ESSV) 2008, september 2008.
6. F. Burkhardt, T. Polzehl, J. Stegmann, F. Metze, and R. Huber. Detecting real life anger. In Proceedings ICASSP, Taipei; Taiwan, 4 2009.
7. F. Burkhardt, M. van Ballegooy, R. Englert, and R. Huber. An emotion-aware voice portal. In Proc. Electronic Speech Signal Processing ESSP, Prague, 2005.
8. Z. Callejas and R. López-Cózar. Influence of contextual information in emotion annotation for spoken dialogue systems. Speech Commun., 50(5):416-433, 2008.
9. A. R. Damasio. Descartes' error: emotion, reason, and the human brain. Avon Books, 1994.
10. K.-P. Engelbrecht, F. Gödde, F. Hartard, H. Ketabar, and S. Möller. Modeling user satisfaction with hidden markov models. Proc. SigDial 09, 2009.
11. K.-P. Engelbrecht, S. Möller, R. Schleicher, and I. Wechsung. Analysis of paradise models for individual users of a spoken dialog system. In Proc. of ESSV, pages 86-93, 2008.
12. E. Frank, Y. Wang, S. Inglis, G. Holmes, and I. H. Witten. Using model trees for classification. Machine Learning, 32(1):63-76, 1998.
13. O. Herm, A. Schmitt, and J. Liscombe. When calls go wrong: How to detect problematic calls based on log-files and emotions? In Proc. of the International Conference on Speech and Language Processing (ICSLP), Sept. 2008.
14. S. le Cessie and J. van Houwelingen. Ridge estimators in logistic regression. Applied Statistics, 41(1):191-201, 1992.
15. C. M. Lee and S. S. Narayanan. Toward detecting emotions in spoken dialogs. IEEE Transactions on Speech and Audio Processing, 2005.
16. R. M. W. M. A. Okun. Toward a judgment model for college satisfaction. Educational Psychological Review, 1990.
17. F. Metze, R. Englert, U. Bub, F. Burkhardt, B. Kaspar, and J. Stegmann. Getting closer: Tailored human-computer speech dialog. UAIS journal, special issue on Vocal Interaction: Beyond Traditional Automatic Speech Recognition, 8(2), 2008.
18. S. Möller, K. P. Engelbrecht, M. Pucher, P. Fröhlich, L. Huo, U. Heute, and F. Oberle. Tide: A testbed for interactive spoken dialogue system evaluation. In Proc. of the XII International conference Speech and Computer (SPECOM 2007), Moscow, Russia, 2007.
19. R. Picard. Affective computing. MIT Press, 1997.
20. M. Schröder, E. Zovato, H. Pirker, C. Peter, and F. Burkhardt. W3c emotion incubator group report. http://www.w3.org/2005/Incubator/emotion/ XGRemotion/, 2008.
21. I. Shafran and M. Mohri. A comparison of classifiers for detecting emotion from speech. In Proc. ICASSP, Philadelphia, 2005.
22. M. Walker, I. Langkilde, J. Wright, A. Gorin, and D. Litman. Learning to predict problematic situations in a spoken dialogue system: experiments with how may i help you? In Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference, pages 210-217, San Francisco, CA, USA, 2000. Morgan Kaufmann Publishers Inc.
23. M. A. Walker, D. J. Litman, C. A. Kamm, and A. Abella. Paradise: a framework for evaluating spoken dialogue agents. In Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics, pages 271-280, Morristown, NJ, USA, 1997. Association for Computational Linguistics.
24. I. H. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, San Francisco, 2005.