@InProceedings{SilvaJrSilvThom:2021:PeAnCh,
               author = "Silva Junior, Laercio and Silva, Wilson da and Thomaz, Carlos",
          affiliation = "{Centro Universit{\'a}rio FEI } and {Centro Universit{\'a}rio 
                         UniDomBosco } and {Centro Universit{\'a}rio FEI}",
                title = "Performance analysis of chess players comparing traditional and 
                         novel cognitive perception ranking measures",
            booktitle = "Proceedings...",
                 year = "2021",
               editor = "Paiva, Afonso and Menotti, David and Baranoski, Gladimir V. G. and 
                         Proen{\c{c}}a, Hugo Pedro and Junior, Antonio Lopes Apolinario 
                         and Papa, Jo{\~a}o Paulo and Pagliosa, Paulo and dos Santos, 
                         Thiago Oliveira and e S{\'a}, Asla Medeiros and da Silveira, 
                         Thiago Lopes Trugillo and Brazil, Emilio Vital and Ponti, Moacir 
                         A. and Fernandes, Leandro A. F. and Avila, Sandra",
         organization = "Conference on Graphics, Patterns and Images, 34. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Chess, EEG, Eye-tracking, Pattern recognition.",
             abstract = "Traditionally, proficiency in chess has been measured by metrics 
                         based on accuracy and response time or performance in tournaments, 
                         but not considering how cognitive signals influence in the 
                         decision making in this complex game. 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 and brain signals, 
                         when answering several on-screen valid chess questions of 
                         distinguished complexities, as high-dimensional data 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. Results show 
                         that traditional metric to quantify proficiency presented accuracy 
                         up to 73,3\%, while the proposed cognitive one reached accuracy 
                         up to 87,5\% and 98,9\% for the electroencephalography and eye 
                         movements, respectively. These findings might disclose new 
                         insights for teaching and predicting chess skills.",
  conference-location = "Gramado, RS, Brazil (virtual)",
      conference-year = "18-22 Oct. 2021",
                  doi = "10.1109/SIBGRAPI54419.2021.00050",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI54419.2021.00050",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/45CBRMS",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/45CBRMS",
           targetfile = "61-camera_ready.pdf",
        urlaccessdate = "2024, May 07"
}