Visual perception ranking of chess players

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2020-06-05
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SILVA JUNIOR, L. R.
Carlos E. Thomaz
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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SILVA JUNIOR, L. R.; THOMAZ, C. E. Visual perception ranking of chess players. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 307-315, jun. 2020.
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© Springer Nature Switzerland AG 2020.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.

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