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Visual Perception Ranking of Chess Players

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Image Analysis and Recognition (ICIAR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12131))

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Abstract

In this work, we have carried out a performance analysis of chess players comparing a standard ranking measure with a novel one proposed here. Using the idea of treating participants eye movements, when answering several on-screen valid chess questions of distinguished complexities, as high-dimensional spatial attention patterns we have shown that expertise is consistently associated with the ability to process visual information holistically using fewer fixations rather than locally focusing on individual pieces. These findings might disclose new insights for predicting chess skills.

Supported by the Brazilian agencies FAPESP, CNPq and CAPES.

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Author information

Authors and Affiliations

  1. Centro Universitario FEI, Sao Paulo, Brazil

    Laercio R. Silva Junior & Carlos E. Thomaz

Authors
  1. Laercio R. Silva Junior
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  2. Carlos E. Thomaz
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Corresponding author

Correspondence to Laercio R. Silva Junior .

Editor information

Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Aurélio Campilho

  2. University of Waterloo, Waterloo, ON, Canada

    Fakhri Karray

  3. University of Waterloo, Waterloo, ON, Canada

    Zhou Wang

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Junior, L.R.S., Thomaz, C.E. (2020). Visual Perception Ranking of Chess Players. In: Campilho, A., Karray, F., Wang, Z. (eds) Image Analysis and Recognition. ICIAR 2020. Lecture Notes in Computer Science(), vol 12131. Springer, Cham. https://doi.org/10.1007/978-3-030-50347-5_27

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  • DOI: https://doi.org/10.1007/978-3-030-50347-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50346-8

  • Online ISBN: 978-3-030-50347-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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