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- Akiko Yamazaki
- Tokyo University of Technology
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- Keiichi Yamazaki
- Saitama University
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- Keiko Ikeda
- Kansai University
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- Matthew Burdelski
- Osaka University
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- Mihoko Fukushima
- Saitama University
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- Tomoyuki Suzuki
- Saitama University
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- Miyuki Kurihara
- Saitama University
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- Yoshinori Kuno
- Saitama University
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- Yoshinori Kobayashi
- Saitama University
書誌事項
- タイトル別名
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- Focusing on speech, gaze and bodily conduct in Japanese and English speakers
この論文をさがす
説明
<jats:p>This paper reports on a quiz robot experiment in which we explore similarities and differences in human participant speech, gaze, and bodily conduct in responding to a robot’s speech, gaze, and bodily conduct across two languages. Our experiment involved three-person groups of Japanese and English-speaking participants who stood facing the robot and a projection screen that displayed pictures related to the robot’s questions. The robot was programmed so that its speech was coordinated with its gaze, body position, and gestures in relation to transition relevance places (TRPs), key words, and deictic words and expressions (e.g. this, this picture) in both languages. Contrary to findings on human interaction, we found that the frequency of English speakers’ head nodding was higher than that of Japanese speakers in human-robot interaction (HRI). Our findings suggest that the coordination of the robot’s verbal and non-verbal actions surrounding TRPs, key words, and deictic words and expressions is important for facilitating HRI irrespective of participants’ native language. Keywords: coordination of verbal and non-verbal actions; robot gaze comparison between English and Japanese; human-robot interaction (HRI); transition relevance place (TRP); conversation analysis</jats:p>
収録刊行物
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- Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systems
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Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systems 14 (3), 366-389, 2013-12-31
John Benjamins Publishing Company
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詳細情報 詳細情報について
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- CRID
- 1360848658922391808
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- ISSN
- 15720381
- 15720373
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE