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Calculation Efficiencies for Mean Numerosity.
Solomon, Joshua A; Morgan, Michael J.
Afiliação
  • Solomon JA; Centre for Applied Vision Research, School of Health Sciences, City, University of London.
  • Morgan MJ; Centre for Applied Vision Research, School of Health Sciences, City, University of London.
Psychol Sci ; 29(11): 1824-1831, 2018 11.
Article em En | MEDLINE | ID: mdl-30199650
ABSTRACT
Relative numerosity is traditionally studied using texture pairs. Observers must decide which member of each pair has the greater total number of texture elements. In the present experiment, textures were segregated into nonoverlapping "sectors" containing between zero and four elements, and our observers were asked to select the texture containing the greater average number of texture elements (per sector). If observers were more sensitive to total numerosity than average numerosity, their performance (quantified by the just-noticeable Weber fraction) should have been better when the two textures occupied the same number of sectors than when they occupied unequal numbers of sectors. However, we recorded Weber fractions between 11% and 13% for all observers in all conditions. This performance was comparable with an otherwise-ideal observer whose decisions were based on between three and five sectors in each texture. We conjecture that traditional numerosity discriminations are based on similarly small numbers of element clusters.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reconhecimento Visual de Modelos / Percepção Espacial / Discriminação Psicológica / Matemática Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Psychol Sci Assunto da revista: PSICOLOGIA Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reconhecimento Visual de Modelos / Percepção Espacial / Discriminação Psicológica / Matemática Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Psychol Sci Assunto da revista: PSICOLOGIA Ano de publicação: 2018 Tipo de documento: Article