[[Research topics]]
** Statistical modeling on eye movements in infancy [#jea7096e]
#ref(http://www.jaist.ac.jp/~shhidaka/image/ModelFrameworkMarch2012.png,300x200)
The study of cognitive development hinges, largely, on the analysis of infant looking. But analyses of eye gaze data require the adoption of linking hypotheses: assumptions about the relationship between observed eye movements
and underlying cognitive processes. We develop a general framework for constructing, testing, and comparing these hypotheses and thus to produce new insights into early cognitive development. We first introduce the general framework applicable to any infant gaze experiment and then demonstrate its utility by analyzing data from three studies investigating the role of attentional cues in infant learning. Finally, we discuss general implications for construction and testing of quantitative linking
hypotheses.
*** 研究要旨 [#s50175da]
Fantzの研究以来、馴化法や選好注視法は認知発達の基本的な方法論となり、近年の乳児の認知研究の多くは、視線の分析によって成り立っている。しかし、視線の分析は、非線形性による解釈の困難性などの問題があり、そのため、得られた注視パタンと、それを生成する潜在的な認知過程とをつなぐ仮説を適切に立てる必要がある。本研究では、この解決策として、ベイズ統計による分析法を提案し、マルチモダル連想学習の研究の再分析を行い提案手法の有用性を検討した。
短い日本語版の要旨：
- 日高昇平, Yurovsky, D., Wu, R. (2012). 注視から認知過程へ：ベイズ統計による次元選択・潜在集団の推定 (Eye Movements to Cognitive Processes: Bayesian Dimension Selection and Latent Group Estimation).[[(pdf):http://www.jaist.ac.jp/~shhidaka/cv_publications/JCSS2012HidakaYurovskyWuFinal.pdf]][[(presentation):http://www.jaist.ac.jp/~shhidaka/cv_publications/JCSS2012HidakaPresentation.pdf]]
より詳細な報告は以下の論文を参照してください：
- Yurovsky D, Hidaka S, & Wu R (2012) Quantitative Linking Hypotheses for Infant Eye Movements. PLoS ONE 7(10): e47419. doi:10.1371/journal.pone.0047419. [[(link):http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0047419]]
**Related papers (See also [[other publications>Publications]]/ 関連する発表論文 ([[その他の論文など>Publications]]) [#n7491c69]
#todo('',%EyeMovement%)
//-Shohei Hidaka (2012). Child-caregiver multimodal dynamics in word learning., In the workshop "Gaze Bias Learning II", Linking neuroscience, computational modeling, and cognitivedevelopment., Tamagawa University. [[(Abstract):http://www.rachelwu.com/workshop-abstracts3.pdf]]
//-Yurovsky, D., Hidaka, S., & Wu, R. (2012) Quantitative Linking Hypotheses for Infant Eye Movements, In Proceedings of The Thirty Fourth Annual Meeting of Cognitive Science Society [[(CogSci2012):http://cognitivesciencesociety.org/conference2012/index.html]].
//-Hannagan T, Wu R, Hidaka S and Yu C (2011). A Computational Model for Cued Infant Learning. Front. Comput. Neurosci. Conference Abstract: IEEE ICDL-EPIROB 2011. doi: 10.3389/conf.fncom.2011.52.00018 URL
//-Yurovsky, D., Hidaka, S., Yu, C., & Smith, L. B. (2010) Liking Learning to Looking: Habituation and Association in Infant Statistical Language Learning, In Proceedings of The Thirty Second Annual Meeting of Cognitive Science Society, xxx-xxx.
//-Yurovsky, D., Hidaka, S., Yu, C., & Smith, L. B. A Generative Model of Eye, Movements in Cross-Situational Learning. XVIIth Biennial International Conference on Infant Studies Baltimore, Maryland, March 10-14, 2010
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