Abstract
Estimation of the dialogue quality, especially the quality of interaction, is an essential part for improving the quality of spoken dialogue systems (SDSs) or call centres. The Interaction Quality (IQ) metric is one of such approaches. Originally, it was designed for SDSs to estimate an ongoing human-computer spoken interaction (HCSI). Due to a similarity between task-oriented human-human conversation (HHC) and HCSI, this approach was adapted to HHC. As for HCSI, for HHC the IQ model is based on features from three interaction parameter levels: an exchange, a window, and a dialogue level. We determine the significance of different levels for IQ modelling for HHC. Moreover, for the window level we try to find an optimal window size. Our study was aimed to simplify the IQ model for HHC, as well as to find differences and similarities between IQ models for HHC and HCSI.
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Acknowledgments
The work presented in this paper was partially supported by the DAAD (German Academic Exchange Service), the Ministry of Education and Science of Russian Federation within project 28.697.2016/2.2, and the Transregional Collaborative Research Centre SFB/TRR 62 “Companion-Technology for Cognitive Technical Systems” which is funded by the German Research Foundation (DFG).
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Spirina, A., Vaskovskaia, O., Karaseva, T., Skorokhod, A., Polonskaia, I., Sidorov, M. (2017). Analysis of Interaction Parameter Levels in Interaction Quality Modelling for Human-Human Conversation. In: Karpov, A., Potapova, R., Mporas, I. (eds) Speech and Computer. SPECOM 2017. Lecture Notes in Computer Science(), vol 10458. Springer, Cham. https://doi.org/10.1007/978-3-319-66429-3_12
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