2010年12月
A multi-modal dialogue analysis method for medical interviews based on design of interaction corpus
PERSONAL AND UBIQUITOUS COMPUTING
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- 巻
- 14
- 号
- 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
- ID情報
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- DOI : 10.1007/s00779-010-0289-5
- ISSN : 1617-4909
- eISSN : 1617-4917
- Web of Science ID : WOS:000284139500009