論文

2010年12月

A multi-modal dialogue analysis method for medical interviews based on design of interaction corpus

PERSONAL AND UBIQUITOUS COMPUTING
  • Yuichi Koyama
  • ,
  • Yuichi Sawamoto
  • ,
  • Yasushi Hirano
  • ,
  • Shoji Kajita
  • ,
  • Kenji Mase
  • ,
  • Tomio Suzuki
  • ,
  • Kimiko Katsuyama
  • ,
  • Kazunobu Yamauchi

14
8
開始ページ
767
終了ページ
778
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s00779-010-0289-5
出版者・発行元
SPRINGER LONDON LTD

We propose a multi-modal dialogue analysis method for medical interviews that hierarchically interprets nonverbal interaction patterns in a bottom-up manner and simultaneously visualizes the topic structure. Our method aims to provide physicians with the clues generally overlooked by conventional dialogue analysis to form a cycle of dialogue practice and analysis. We introduce a motif and a pattern cluster in the designs of the hierarchical indices of interaction and exploit the Jensen-Shannon divergence (JSD) metric to reduce the number of usable indices. We applied the proposed interpretation method of interaction patterns to develop a corpus of interviews. The results of a summary reading experiment confirmed the validity of the developed indices. Finally, we discussed the integrated analysis of the topic structure and a nonverbal summary.

リンク情報
DOI
https://doi.org/10.1007/s00779-010-0289-5
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000284139500009&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s00779-010-0289-5
  • ISSN : 1617-4909
  • eISSN : 1617-4917
  • Web of Science ID : WOS:000284139500009

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