Abstract
This research tried to estimate the user’s willingness to talk about the topic provided by the dialog system. Dialog management based on the user’s willingness is assumed to improve the satisfaction the user gets from the dialog with the system. We collected interview dialogs between humans to analyze the features for estimation, and found that significant differences of the statistics of \(F_0\) and power of the speech, and the degree of the facial movements by a statistical test. We conducted discrimination experiments by using multi-modal features with SVM, and obtained the best result when we used the audio-visual information. We obtained 80.4 \(\%\) of discrimination ratio under leave-one-out condition and 77.1 \(\%\) discrimination ratio under subject-open condition.
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Chiba, Y., Ito, A. (2017). Estimation of User’s Willingness to Talk About the Topic: Analysis of Interviews Between Humans. In: Jokinen, K., Wilcock, G. (eds) Dialogues with Social Robots. Lecture Notes in Electrical Engineering, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-10-2585-3_34
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DOI: https://doi.org/10.1007/978-981-10-2585-3_34
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