Abstract
This research proposes a DiAna-AD (dialog analysis for adjusting duration) system that adjusts the duration time of discussions based on the discussion situations. Participants may be dissatisfied with excessive or insufficient fixed time of discussion. The proposed system is intended to terminate the discussions at the appropriate time. The situations of the discussions are estimated only from nonlinguistic acoustic features collected by wearable devices. The criteria of termination by the system are obtained from the analysis of an experiment of satisfaction. The analysis result revealed that the subjective satisfaction of the participants is reduced by the desire to shorten the duration time of the discussion. An algorithm to terminate discussions is implemented via the proposed system. Furthermore, an experiment with the system is conducted to evaluate the effectiveness of the system for improving participants’ satisfaction in a discussion. The result of the experiment with the system is compared with that of the experiment on satisfaction, and there are no significant differences between the results. On the other hand, from the result of the interview, the proposed DiAna-AD system is found to be effective in shortening the duration time of inactive discussions.
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Acknowledgements
This work has been partly supported by the Grants-in-Aid for Scientific Research (No. JP17H02001, JP19K03175 and JP19H01710) by MEXT (Ministry of Education, Culture, Sports, Science and Technology) in Japan.
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Ishikawa, N., Okazawa, T., Egi, H. (2019). DiAna-AD: Dialog Analysis for Adjusting Duration During Face-to-Face Collaborative Discussion. In: Nakanishi, H., Egi, H., Chounta, IA., Takada, H., Ichimura, S., Hoppe, U. (eds) Collaboration Technologies and Social Computing. CRIWG+CollabTech 2019. Lecture Notes in Computer Science(), vol 11677. Springer, Cham. https://doi.org/10.1007/978-3-030-28011-6_15
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DOI: https://doi.org/10.1007/978-3-030-28011-6_15
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