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 †
Analysis of nonlinear dynamics in multisensory time series of two-agent communication †
Predicting novel word learning in social interaction †
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.
- Hidaka, S., Yu, C. (2010) Analyzing Multimodal Time Series as Dynamical Systems, ICMI-MLMI 2010.
(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
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