Abstract
Recent interests in conversation in the field of artificial intelligence have expanded beyond the development of particular task-oriented dialogue systems toward technologies for supporting human-human communication in various circumstances. Within such communication supportive approaches, the importance of the analysis of multiparty conversation has increasingly been recognized. In accordance with these orientations, this article outlines a three-party conversation corpus built by the National Institute of Information and Communications Technology, and introduces three preliminary analyses of it that will contribute to the development of Conversational Informatics: The characteriscits of turn-taking procedure in three-person conversation; assessment sequential patterns that appeared in the data; and shared knowledge and interpersonal relationships between participants observable from the assessment sequences in triadic conversation.
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Takanashi, K., Fujimoto, E., Kono, Y., Takeuchi, K., Isahara, H. (2006). Detection of Assessment Patterns in Ordinary Triadic Conversation. In: Washio, T., Sakurai, A., Nakajima, K., Takeda, H., Tojo, S., Yokoo, M. (eds) New Frontiers in Artificial Intelligence. JSAI 2005. Lecture Notes in Computer Science(), vol 4012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780496_41
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DOI: https://doi.org/10.1007/11780496_41
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