Classification response times in probabilistic rule-based category structures: Contrasting exemplar-retrieval and decision-boundary models.

Experiments were conducted to contrast the predictions from exemplar models and rule-based decision-boundary models of perceptual classification. Observers classified multidimensional stimuli into categories that could be described in terms of easily verbalized logical rules. The critical manipulati...

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Publicado en:Memory & Cognition Vol. 38; no. 7; pp. 916 - 928
Autores principales: NOSOFSKY, ROBERT M., LITTLE, DANIEL R.
Formato: Artículo
Publicado: Springer Nature Oct2010
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Classification response times in probabilistic rule-based category structures: Contrasting exemplar-retrieval and decision-boundary models.
      aug:
        au:
          NOSOFSKY, ROBERT M.
          LITTLE, DANIEL R.
        affil: Indiana University, Bloomington, Indiana
      su:
        Analysis of variance
        Cognition
        Decision making
        Forecasting
        Probability theory
        Mathematical models of psychology
        Reaction time
        Research funding
      sug:
        subj:
          Analysis of variance
          Cognition
          Decision making
          Forecasting
          Probability theory
          Mathematical models of psychology
          Reaction time
          Research funding
      ab: Experiments were conducted to contrast the predictions from exemplar models and rule-based decision-boundary models of perceptual classification. Observers classified multidimensional stimuli into categories that could be described in terms of easily verbalized logical rules. The critical manipulation was that some pairs of stimuli received probabilistic feedback, whereas other control pairs received deterministic feedback. Despite the probabilistic feedback, the probabilistic pairs and the deterministic pairs were the same distance from ideal-observer, rule-based decision boundaries. Across two experiments with varying category structures, observers classified the probabilistic pairs with slower response times (RTs) and lower accuracies than the comparison deterministic pairs. The effects were relatively long term, extending into test blocks in which all feedback was withheld. The results were as predicted by exemplar models, but challenged models that posit that RT is a function solely of the distance of a stimulus from rule-based boundaries. The studies add considerable generality to previous ones and suggest that, even in domains involving rule-based category structures, exemplar-retrieval processes play a significant role. Supplemental materials related to this article may be downloaded from http://mc.psychonomic-journals.org/content/supplemental.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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