Detection of Assessment Patterns in Ordinary Triadic Conversation

  • Katsuya Takanashi
  • Eiki Fujimoto
  • Yasuyuki Kono
  • Kazuhiro Takeuchi
  • Hitoshi Isahara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4012)


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.


Shared Knowledge Nonverbal Behavior Subjective Information Conversational Informatics Nonverbal Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Katsuya Takanashi
    • 1
    • 2
  • Eiki Fujimoto
    • 3
  • Yasuyuki Kono
    • 3
  • Kazuhiro Takeuchi
    • 4
  • Hitoshi Isahara
    • 4
  1. 1.Kyoto UniversityKyotoJapan
  2. 2.The University of TokyoTokyoJapan
  3. 3.Nara Institute of Science and TechnologyIkoma CityJapan
  4. 4.National Institute of Information and Communications TechnologyKyotoJapan

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