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Dynamics of artistic style: a computational analysis of the Maker’s motoric qualities in a clay-relief practice

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  • Nir Dick

    (The Hebrew University of Jerusalem)

  • Ayala Prusak

    (The Hebrew University of Jerusalem)

  • Amit Raphael Zoran

    (The Hebrew University of Jerusalem)

Abstract

The artistic style has been extensively discussed within diverse perspectives, usually studying the physical qualities of existing artifacts as the resource for investigation. This paper proposes a novel analysis of the dynamics of artistic style, as represented by a set of motor features, techniques, and their temporal interplay. The researchers hypothesize that unique characteristics of individuals’ styles are represented as transitions between motor activities, which would allow for computational analysis of style. As a case study, the researchers tracked a carving knife used in a clay-relief technique in two studies, one comprising (i) twelve sessions and five novice participants; and the other (ii) twenty-eight sessions with a single skilled artist. The analysis reveals that dynamic style is (i) unique and consistent in novices’ creative processes and that (ii) different subcategories of making can be observed in an experienced participant related to the subject of the work. These offer the possibility of quantitatively studying the making process irrespective of the esthetic qualities of the finished artifact, which allows for diverse computational applications.

Suggested Citation

  • Nir Dick & Ayala Prusak & Amit Raphael Zoran, 2021. "Dynamics of artistic style: a computational analysis of the Maker’s motoric qualities in a clay-relief practice," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.
    • Handle: RePEc:pal:palcom:v:8:y:2021:i:1:d:10.1057_s41599-021-00838-2
    DOI: 10.1057/s41599-021-00838-2
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    References listed on IDEAS

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    1. Enora Gandon & Reinoud J Bootsma & John A Endler & Leore Grosman, 2013. "How Can Ten Fingers Shape a Pot? Evidence for Equivalent Function in Culturally Distinct Motor Skills," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    2. Zoubin Ghahramani, 2015. "Probabilistic machine learning and artificial intelligence," Nature, Nature, vol. 521(7553), pages 452-459, May.
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