Abstract
Many recent studies have focused on dialogue communication. In this paper, our target is to make a robot support a communication between humans. To support a communication between humans, we believe that there are two important functions: estimating dialogue moods and behaving suitably. In this paper, we propose dialogue mood estimation model using the utterance intervals. The proposed estimation model is composed by relating the subjective evaluations for several adjectives with the utterance intervals features. Through the estimation experiments, we confirmed that the proposed system could estimate the dialogue moods with a high degree of accuracy, especially for “excitement,” “seriousness,” and “closeness.” And we suggested that the utterance intervals features had a high potential for the dialogue mood estimation.
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References
Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: 2nd Inter. Symp. on Information Theory, vol. 1, pp. 267–281 (1973)
Bruner, G.: Music, mood, and marketing. Journal of Marketing 54(4), 94–104 (1990)
Cohen, I., Sebe, N., Chen, L., Garg, A., Huang, T.S.: Facial expression recognition from video sequences: Temporal and static modelling. In: Computer Vision and Image Understanding, pp. 160–187 (2003)
Consortium, N.T.S.R. Priority area spoken dialogue spoken dialogue corpus (pasd) (1993-1996)
Gatica-perez, D., Mccowan, I., Zhang, D., Bengio, S.: Detecting group interest level in meetings. In: Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), pp. 489–492 (2005)
Hayashi, T., Kato, S., Itoh, H.: A Synchronous Model of Mental Rhythm Using Paralanguage for Communication Robots. In: Yang, J.-J., Yokoo, M., Ito, T., Jin, Z., Scerri, P. (eds.) PRIMA 2009. LNCS, vol. 5925, pp. 376–388. Springer, Heidelberg (2009)
Ito, H., Shigeno, S., Nishimoto, T., Araki, M., Nimi, Y.: The analysis of the atmosphere in the dialogues. IPSJ SIG Technical Report, pp. 103–108 (2011) (in Japanese)
Itoh, C., Kato, S., Itoh, H.: Mood-transition-based emotion generation model for the robot’s personality. In: Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009), San Antonio, TX, USA, pp. 2957–2962 (2009)
Mori, H., Miyawaki, K., Nishiguchi, S., Sano, M., Yamashita, N.: An affections model of group activities for estimation of individual’s affection. IEICE Technical Report, pp. 519–523 (2010)
Siedlecki, W., Sklansky, J.: A note on genetic algorithms for large-scale feature selection. Pattern Recogn. Lett. 10, 335–347 (1989)
Takasugi, S., Yoshida, S., Okitsu, K., Yokoyama, M., Yamamoto, T., Miyake, Y.: Influence of pause duration and nod response timing in dialogue between human and communication robot. Transactions of the Society of Instrument and Control Engineers, 72–81 (2010) (in Japanese)
Toyoda, K., Yamanishi, R., Kato, S.: Song selection system with affective requests. In: 12th International Symposium on Advanced Intelligent Systems, Suwon, Korea, pp. 462–465 (2011)
Wrede, B., Shriberg, E.: The relationship between dialogue acts and hot spots in meetings. In: Proc. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Virgin Islands (2003)
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Toyoda, K., Miyakoshi, Y., Yamanishi, R., Kato, S. (2012). Estimation of Dialogue Moods Using the Utterance Intervals Features. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_24
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DOI: https://doi.org/10.1007/978-3-642-29934-6_24
Publisher Name: Springer, Berlin, Heidelberg
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