Using a Drift Diffusion Model to Validate the Quantification of Style Prototypicality as Assessed by the Viewers of Paintings

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  • Shigen Fang Ogata
    Shigen Fang Ogata, Global Education Center, Waseda University; Graduate School of Education, Hyogo University of Teacher Education, 942-1 Shimokume, Kato-shi, Hyogo, Japan. Email: sogata@hyogo-u.ac.jp.
  • Yoshimasa Tawatsuji
    Yoshimasa Tawatsuji, Global Education Center, Waseda University; Center for Data Science, Waseda University, 1-6-1 Nishiwaseda, Tokyo, Japan. Email: y.tawatsuji@aoni.waseda.jp.
  • Tatsunori Matsui
    Tatsunori Matsui, Faculty of Human Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, Japan. Email: matsui-t@waseda.jp.

抄録

<jats:title>Abstract</jats:title> <jats:p>When appreciating a painting, people often classify it into a style. The extent to which the painting is regarded as a typical example of the style is called its style prototypicality. The authors propose a method of quantifying style prototypicalities and conduct an experiment to validate this method using the drift rate parameter of the drift diffusion model. This parameter is calculated using participants’ decision-making response times. The authors find a positive correlation (r = .88, p &lt; .001) between the drift rates and the quantified prototypicalities for the paintings used in this study, confirming the psychological appropriateness of the proposed quantification method.</jats:p>

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  • Leonardo

    Leonardo 57 (1), 70-78, 2024

    MIT Press

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