Influence of Personal Characteristics on Nonverbal Information for Estimating Communication Smoothness

  • Yumi WakitaEmail author
  • Yuta Yoshida
  • Mayu Nakamura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9733)


To realize a system that can provide a new topic of discussion for improving lively and smooth human-to-human communication, a method to estimate conversation smoothness is necessary. To develop a process for estimating conversation smoothness, we confirmed the effectiveness of using fundamental frequency (F0). The analytic results of free dyadic conversation using the F0 of laughter utterances in conversation are strongly dependent on personal characteristics. Moreover, F0s without laughter utterances are effective in estimating conversation smoothness.

Both the average value and the standard deviation (SD) value of F0s in smooth conversation tend to be higher than in non-smooth conversation. The differences between the SD of the “smooth” and “non-smooth” segments are shown to be significant when using a t-test, where the confidence level is 95 %.


Conversation smoothness Nonverbal information Fundamental frequency 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Osaka Institute of TechnologyOsakaJapan

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