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複数の非言語情報を利用した嘘の読み取りとその自動化
http://hdl.handle.net/2261/7741
http://hdl.handle.net/2261/77414f986f0f-14b1-455f-a779-0eb24c9e2fb1
名前 / ファイル | ライセンス | アクション |
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hisp_8_4_75.pdf (2.0 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2007-11-01 | |||||
タイトル | ||||||
タイトル | 複数の非言語情報を利用した嘘の読み取りとその自動化 | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題 | communication | |||||
主題Scheme | Other | |||||
キーワード | ||||||
主題 | nonverbal information and lie | |||||
主題Scheme | Other | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
その他のタイトル | ||||||
その他のタイトル | Detecting a "lie" by using diverse nonverbal information and its automation | |||||
著者 |
大本, 義正
× 大本, 義正× 植田, 一博× 大野, 健彦× 小松, 孝徳 |
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著者別名 | ||||||
識別子 | 757 | |||||
識別子Scheme | WEKO | |||||
姓名 | Ohmoto, Yoshimasa | |||||
著者別名 | ||||||
識別子 | 758 | |||||
識別子Scheme | WEKO | |||||
姓名 | Ueda, Kazuhiro | |||||
著者別名 | ||||||
識別子 | 759 | |||||
識別子Scheme | WEKO | |||||
姓名 | Ohno, Takehiko | |||||
著者別名 | ||||||
識別子 | 760 | |||||
識別子Scheme | WEKO | |||||
姓名 | Komatsu, Takanori | |||||
著者所属 | ||||||
著者所属 | 東京大学大学院総合文化研究科 | |||||
著者所属 | ||||||
著者所属 | Department of General System Studies, The University of Tokyo | |||||
著者所属 | ||||||
著者所属 | NTT第二部門 | |||||
著者所属 | ||||||
著者所属 | NTT Department II | |||||
著者所属 | ||||||
著者所属 | はこだて未来大学 | |||||
著者所属 | ||||||
著者所属 | Future University-Hakodate | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Interactive and autonomous agents are considered to participate in our daily life in the future; in this situation, we expect that the agents have ability to communicate with people naturally. For natural communication, the agents should speculate about humans' intentions. For speculating intentions like deception, in this study, we focused on unconscious expressions when people tell a lie. Then, we experimentally investigated whether "lies" in a situation similar to actual communication were discernible by using nonverbal information such as gaze, prosody and facial expressions. We found that a discriminant analysis achieved 75-85% success rates in discriminating the participants' lies using 4 of 13 variables. The selected variables contain all the modalities to which we paid attention. The selected variables changed with situations and individuals. The discriminant function discriminated about 80% of an unknown data set of lies that was acquired for same people under a similar condition. For discrimination of lies by agents, it is neccessary to automate the measuring. For this purpose, we made an automatic measuring system of gaze directions and facial feature points. Then, we conducted an experiment by using the system. Therefore, we could get a clue that agents had a potential to speculate about human's intentions. | |||||
書誌情報 |
ヒューマンインタフェース学会論文誌 巻 8, 号 4, p. 555-564, 発行日 2006 |
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書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11324440 | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
日本十進分類法 | ||||||
主題 | 007 | |||||
主題Scheme | NDC | |||||
出版者 | ||||||
出版者 | ヒューマンインタフェース学会 |