Research topics
Statistical modeling on eye movements in infancy †
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.
- 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)
- 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).
- 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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