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[[Research topics]] TO BE UPDATED *二者間の行動を多センサ計測した時系列データの非線形解析 [#bea9d554] *Analysis of nonlinear dynamics in multisensory time series of two-agent communication [#o85b0d8c] **Predicting novel word learning in social interaction [#s297a4a3] Most of children learn words in social situation where they interact with their care givers. Thus, it is natural to consider that children’s learning exploits its information-richness and also it needs to sort out information from noise. How do children learn a novel word in such a full-of-information-and-noise environment? We have characterized information structure of natural child-parent interaction, and showed its predictability of children’s learning. //#ref(NovelWordGeneralization/NovelWordGeneralization.png,10%) #ref(http://www.jaist.ac.jp/~shhidaka/image/ChildParentInteraction.jpg,300x200) **Related papers (See also [[other publications>Publications]]/ 関連する発表論文 ([[その他の論文など>Publications]]) [#m8f5f5a8] -Hidaka, S., Yu, C. (2010) Analyzing Multimodal Time Series as Dynamical Systems, ICMI-MLMI 2010. [[(pdf):http://www.jaist.ac.jp/~shhidaka/cv_publications/JCMI2010.pdf]] -Yu, C., Smith, T., Hidaka, S., Smith, L. B. (2010) A Data-Driven Paradigm to Understand Multimodal Communication in Human-Human and Human-Robot Interaction, The Ninth International Symposium on Intelligent Data Analysis, May 19-21, IDA2010. -Hidaka S and Yu C (2011). Informational Coupling in Social Interaction as a Goodness of Communication. Front. Comput. Neurosci. Conference Abstract: IEEE ICDL-EPIROB 2011. doi: 10.3389/conf.fncom.2011.52.00007 URL
