| 言語種別 | 英語 |
|---|---|
| 発行・発表の年月 | 2016/03 |
| 形態種別 | 【論文】研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | Modeling of Honest Signals for Human Robot Interaction |
| 執筆形態 | 共著 |
| 掲載誌名 | ELEVENTH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN ROBOT INTERACTION (HRI'16) |
| 掲載区分 | 国外 |
| 出版社・発行元 | ASSOC COMPUTING MACHINERY |
| 巻・号・頁 | 415-416 |
| 著者・共著者 | Muhammad Attamimi,Yusuke Katakami,Kasumi Abe,Takayuki Nagai,Tomoaki Nakamura |
| 概要 | Recent studies have shown that human beings unconsciously use signals that represent their thoughts and/or intentions when communicating with each other. These signals are known as "honest signals." This study involves the use of a sociometer to capture multimodal data resulting from the interaction between humans. These data are then used to model the interaction using a multimodal hierarchical Dirichlet process hidden Markov model, which is then implemented in the robot. The model enables robots to generate "honest signals" and to interact in a natural manner. |
| DOI | 10.1109/HRI.2016.7451783 |
| DBLP ID | conf/hri/AttamimiKANN16 |
| PermalinkURL | http://dl.acm.org/citation.cfm?id=2906904 |
| researchmap用URL | http://dblp.uni-trier.de/db/conf/hri/hri2016.html#conf/hri/AttamimiKANN16 |