Abstract
In this paper we propose a method for merging intentional and emotional information in spoken dialogue systems in order to make dialogue managers more efficient and adaptive. The prediction of the user intention and emotion is carried out for each user turn in the dialogue by means of a module conceived as an intermediate phase between natural language understanding and dialogue management in the architecture of these systems. We have applied and evaluated our method in the UAH system, for which the evaluation results show that merging both sources of information improves system performance as well as its perceived quality.
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References
Riccardi, G., Hakkani-Tür, D.: Grounding Emotions in Human-Machine Conversational Systems. In: Maybury, M., Stock, O., Wahlster, W. (eds.) INTETAIN 2005. LNCS (LNAI), vol. 3814, pp. 144–154. Springer, Heidelberg (2005)
Boril, H., Sadjadi, O., Kleinschmidt, T., Hansen, J.: Analysis and detection of cognitive load and frustration in drivers’ speech. In: Proc. of Interspeech 2010, Makuhari, Chiba, Japan, pp. 502–505 (2010)
Gnjatović, M., Rösner, D.: Adaptive Dialogue Management in the NIMITEK Prototype System. In: André, E., Dybkjær, L., Minker, W., Neumann, H., Pieraccini, R., Weber, M. (eds.) PIT 2008. LNCS (LNAI), vol. 5078, pp. 14–25. Springer, Heidelberg (2008)
Pittermann, J., Pittermann, A., Minker, W.: Emotion recognition and adaptation in spoken dialogue systems. Int. Journal of Speech Technology 13, 49–60 (2010)
Bui, T.H., Poel, M., Nijholt, A., Zwiers, J.: A tractable hybrid DDN-POMDP approach to affective dialogue modeling for probabilistic frame-based dialogue systems. Natural Language Engineering 15, 273–307 (2009)
Williams, J.D., Young, S.: Partially observable Markov decision processes for spoken dialog systems. Computer Speech & Language 21, 393–422 (2007)
Callejas, Z., López-Cózar, R.: Influence of contextual information in emotion annotation for spoken dialogue systems. Speech Communication 50, 416–433 (2008)
Griol, D., Hurtado, L.F., Segarra, E., Sanchis, E.: A statistical approach to spoken dialog systems design and evaluation. Speech Communication 50, 666–682 (2008)
Callejas, Z., López-Cózar, R.: Relations between de-facto criteria in the evaluation of a spoken dialogue system. Speech Communication 50, 646–665 (2008)
Burkhardt, F., van Ballegooy, M., Engelbrecht, K., Polzehl, T., Stegmann, J.: Emotion detection in dialog systems - Usecases, strategies and challenges. In: Proc. of ACII 2009, Amsterdam, The Netherlands (2009)
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Callejas, Z., Griol, D., Delgado, R.LC. (2012). Merging Intention and Emotion to Develop Adaptive Dialogue Systems. In: Torre Toledano, D., et al. Advances in Speech and Language Technologies for Iberian Languages. Communications in Computer and Information Science, vol 328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35292-8_18
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DOI: https://doi.org/10.1007/978-3-642-35292-8_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35291-1
Online ISBN: 978-3-642-35292-8
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