Unsupervised category learning with integral-dimension stimuli.

Despite the recent surge in research on unsupervised category learning, the majority of studies have focused on unconstrained tasks in which no instructions are provided about the underlying category structure. Relatively little research has focused on constrained tasks in which the goal is to learn...

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Publicado en:Quarterly Journal of Experimental Psychology Vol. 65; no. 8; pp. 1537 - 1563
Autores principales: Ell, Shawn W., Ashby, F. Gregory, Hutchinson, Steven
Formato: Artículo
Publicado: Sage Publications Inc. Aug2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2012
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      pub: Sage Publications Inc.
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        84447377
        10.1080/17470218.2012.658821
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        atl: Unsupervised category learning with integral-dimension stimuli.
      aug:
        au:
          Ell, Shawn W.
          Ashby, F. Gregory
          Hutchinson, Steven
        affil:
          Psychology Department, University of Maine, Orono, ME, USA
          Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USA
      su:
        Categorization (Psychology)
        Psychological feedback
        Learning
        Aversive stimuli
        Implicit memory
        Explicit memory
      sug:
        subj:
          Categorization (Psychology)
          Psychological feedback
          Learning
          Aversive stimuli
          Implicit memory
          Explicit memory
      keyword:
        Categorization
        Feedback-based learning
        Implicit/explicit memory
        Categorization
        Feedback-based learning
        Implicit/explicit memory
      ab: Despite the recent surge in research on unsupervised category learning, the majority of studies have focused on unconstrained tasks in which no instructions are provided about the underlying category structure. Relatively little research has focused on constrained tasks in which the goal is to learn predefined stimulus clusters in the absence of feedback. The few studies that have addressed this issue have focused almost exclusively on stimuli for which it is relatively easy to attend selectively to the component dimensions (i.e., separable dimensions). In the present study, we investigated the ability of participants to learn categories constructed from stimuli for which it is difficult, if not impossible, to attend selectively to the component dimensions (i.e., integral dimensions). The experiments demonstrate that individuals are capable of learning categories constructed from the integral dimensions of brightness and saturation, but this ability is generally limited to category structures requiring selective attention to brightness. As might be expected with integral dimensions, participants were often able to integrate brightness and saturation information in the absence of feedback--an ability not observed in previous studies with separable dimensions. Even so, there was a bias to weight brightness more heavily than saturation in the categorization process, suggesting a weak form of selective attention to brightness. These data present an important challenge for the development of models of unsupervised category learning.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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