Feature Sampling in Detection: Implications for the Measurement of Perceptual Independence.

The article presents the feature sampling signal detection (FS-SDT) model, an extension of the multivariate signal detection (SDT) model. The FS-SDT model assumes that, because of attentional shifts, different subsets of features are sampled for different presentations of the same multidimensional s...

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Publicado en:Journal of Experimental Psychology. General Vol. 136; no. 1; pp. 133 - 154
Autor principal: Macho, Siegfried
Formato: Artículo
Publicado: American Psychological Association February 2007
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Feature Sampling in Detection: Implications for the Measurement of Perceptual Independence.
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        au: Macho, Siegfried
      su: Signal detection (Psychology)
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        subj: Signal detection (Psychology)
      ab: The article presents the feature sampling signal detection (FS-SDT) model, an extension of the multivariate signal detection (SDT) model. The FS-SDT model assumes that, because of attentional shifts, different subsets of features are sampled for different presentations of the same multidimensional stimulus. Contrary to the SDT model, the FS-SDT model enables the estimation of pure perceptual effects that are uncontaminated by strategic attention shifts. The consideration of feature sampling in detection and identification opens a new perspective on the problem of measuring, respectively, the separability and integrality of stimulus dimensions. Disregarding feature sampling as a component process in detection and identification usually results in biased estimations of perceptual independence concepts relevant for judgments of whether stimulus dimensions are processed independently. Reprinted by permission of the publisher.
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    language: English
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