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Automatically Choosing Appropriate Gestures for Jokes

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この文献へのリンクには次のURLを使用してください:http://hdl.handle.net/2115/63642

タイトル: Automatically Choosing Appropriate Gestures for Jokes
著者: Dai, Hasegawa 著作を一覧する
Jonas, Sjobergh 著作を一覧する
Rafal, Rzepka 著作を一覧する
Kenji, Araki 著作を一覧する
発行日: 2009年10月
出版者: AAAI
誌名: Proceedings of the Fifth Artificial Intelligence and Interactive Digital Entertainment Conference
開始ページ: 40
終了ページ: 45
抄録: We examine the problem of automatically selecting gestures that are appropriate to use when telling a joke or a short story. Our current application of this is a joke telling humanoid robot that needs to be able to select natural gestures for arbitrary input. The topic is important because humans use body language and gestures, thus socially interactive robots should also be able to do so for more natural interaction. We asked evaluators to assign appropriate gestures from a set of gestures the robot can perform to 50 jokes from a corpus of jokes in Japanese. We then evaluated different methods for automatically selecting gestures on this data set. While human inter-agreement was rather low, indicating that this is a fairly difficult task and that some jokes have no obviously fitting gesture, the best method performs on par with humans and clearly outperforms the baseline.
資料タイプ: proceedings
URI: http://hdl.handle.net/2115/63642
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: Rafal Rzepka

 

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