Verbal/Nonverbal Behavior Allocation Rules in Social Interactions between Users and Conversational Agents
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- ENOMOTO Mika
- Tokyo University of Technology
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- NAKANO Yukiko
- SEIKEI University
Bibliographic Information
- Other Title
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- 人‐人,人‐ヒューマンエージェントの社会的インタラクションにおける言語・非言語行為の配置規則
- 人-人,人-ヒューマンエージェントの社会的インタラクションにおける言語・非言語行為の配置規則
- ヒト ヒト ヒト ヒューマン エージェント ノ シャカイテキ インタラクション ニ オケル ゲンゴ ヒゲンゴ コウイ ノ ハイチ キソク
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Abstract
This paper reports empirical results showing the difference between human-human and human-artifact interactions, and proposes human interaction strategies that are useful in designing human-agents based on human behavioral models. Our empirical study uses a PC operation task as a corpus collection experiment, and reveals human-artifact interaction strategies by analyzing how verbal/nonverbal behaviors are allocated in human-human and human-artifact interactions. First, as basic characteristics in human-human and human-artifact conversations, we found that in human-artifact interactions, the number of utterances and frequency of acknowledgements and other responses are smaller than those in human-human conversations. Then, we propose human-human verbal/nonverbal behavior allocation rules, and examine how these rules are violated in human-artifact interactions, suggesting that these violations are complementary behaviors by the listener that displays understanding of the utterance to the speaker without using a verbal response.
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 20 (4), 540-556, 2008
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390282680163068032
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- NII Article ID
- 110006862952
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 9619180
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed