Modeling Continuous Outcome Color Decisions With the Circular Diffusion Model: Metric and Categorical Properties.
The circular diffusion model is extended to provide a theory of the speed and accuracy of continuous outcome color decisions and used to characterize eye-movement decisions about the hues of noisy color patches in an isoluminant, equidiscriminability color space. Heavy-tailed distributions of decisi...
| Publicado en: | Psychological Review Vol. 127; no. 4; pp. 562 - 591 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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American Psychological Association
Jul2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=144266706&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 144266706 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0033295X PYV jtl: Psychological Review issn: 0033295X maglogo: N pubinfo: dt: Jul2020 vid: 127 iid: 4 pid: 34 pub: American Psychological Association artinfo: ui: 144266706 10.1037/rev0000185 ppf: 562 ppct: 29 formats: tig: atl: Modeling Continuous Outcome Color Decisions With the Circular Diffusion Model: Metric and Categorical Properties. aug: au: Smith, Philip L. Saber, Saam Corbett, Elaine A. Lilburn, Simon D. affil: Melbourne School of Psychological Sciences, The University of Melbourne Trinity College Institute of Neuroscience, Trinity College Dublin, and Melbourne School of Psychological Sciences, The University of Melbourne su: Decision making Visual memory Diffusion Diffusion processes Colors sug: subj: Decision making Visual memory Diffusion Diffusion processes Colors keyword: continuous outcome decision making diffusion model response time visual working memory continuous outcome decision making diffusion model response time visual working memory ab: The circular diffusion model is extended to provide a theory of the speed and accuracy of continuous outcome color decisions and used to characterize eye-movement decisions about the hues of noisy color patches in an isoluminant, equidiscriminability color space. Heavy-tailed distributions of decision outcomes were found with high levels of chromatic noise, similar to those found in visual working memory studies with high memory loads. Decision times were longer for less accurate decisions, in agreement with the slow error property typically found in difficult 2-choice tasks. Decision times were shorter, and responses were more accurate in parts of the space corresponding to nameable color categories, although the number and locations of the categories varied among participants. We show that these findings can be predicted by a theory of across-trial variability in the quality of the evidence entering the decision process, represented mathematically by the drift rate of the diffusion process. The heavy-tailed distributions of decision outcomes and the slow-error pattern can be predicted by either of 2 models of drift rate. One model is based on encoding failures and the other is based on a nonlinear transformation of the stimulus space. Both models predict highly inaccurate stimulus representations on some trials, leading to heavy-tailed distributions and slow errors. The color-category effects were successfully modeled as stimulus biases in a similarity-choice framework, in which the drift rate is the vector sum of the encoded metric and categorical representations of the stimulus. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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