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A data-oriented approach to integrate emotions in adaptive dialogue management
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 12th international conference on Intelligent user interfaces table of contents
Honolulu, Hawaii, USA
SESSION: Short papers table of contents
Pages: 270 - 273  
Year of Publication: 2007
ISBN:1-59593-481-2
Authors
Johannes Pittermann  University of Ulm, Ulm, Germany
Angela Pittermann  University of Ulm, Ulm, Germany
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

During the past years the involvement of emotions in dialogue design has attracted much interest in current research on intelligent human-computer interfaces. We focus on the implementation of a flexible and robust dialogue system which integrates emotions and other influencing parameters in the dialogue flow. In order to achieve a higher degree of adaptability we propose a simplified stochastic approach to model the dialogue manager's behavior based on the user's input and dialogue-influencing parameters like emotions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
E. André, M. Rehm, W. Minker, and D. Bühler. Endowing Spoken Language Dialogue Systems with Emotional Intelligence. In Tutorial and Research Workshop Affective Dialogue Systems, pages 178--187, Irsee, Germany, June 2004.
 
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E. Levin, R. Pieraccini, and W. Eckert. A stochastic model of human machine interaction for learning dialog strategies. IEEE Transactions on Speech and Audio Processing, 8(1):11--23, January 2000.
 
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A. Pittermann and J. Pittermann. Getting Bored with HTK? Using HMMs for Emotion Recognition. In 8th International Conference on Signal Processing (ICSP), volume 1, pages 704--707, Guilin, China, November 2006.
 
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J. Pittermann, A. Rittinger, and W. Minker. Flexible dialogue management in intelligent human-machine interfaces. In The IEE International Workshop on Intelligent Environments, Univ. of Essex, Colchester, United Kingdom, 2005.
 
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J. Sun, X. Cui, Z. Wang, and Y. Liu. A language model adaptation approach based on text classification. In International Conference on Speech and Language Processing (ICSLP), 2000.
 
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J. D. Williams, P. Poupart, and S. Young. Partially Observable Markov Decision Processes with Continuous Observations for Dialogue Management. In Proceedings of the 6th SIGdial Workshop on Discourse and Dialogue, 2005.
 
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B. Zhang, Q. Cai, J. Mao, E. Chang, and B. Guo. Spoken dialogue management as planning and acting under uncertainty. In European Conference on Speech and Language Processing (EUROSPEECH), pages 2169--2172, 2001.


Collaborative Colleagues:
Johannes Pittermann: colleagues
Angela Pittermann: colleagues