Featural vs. configurational information in faces: a conceptual and empirical analysis.

The perception and memory of faces have been accounted for by the processing of two kinds of facial information: featural and configurational. The starting point of this article is the definition and accepted usage of these two concepts of facial information. I discuss these definitions and their va...

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Publicado en:British Journal of Psychology Vol. 93; no. 1; pp. 1 - 31
Autor principal: Rakover, Sam S.
Formato: Artículo
Publicado: Wiley-Blackwell February 2002
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Featural vs. configurational information in faces: a conceptual and empirical analysis.
      aug:
        au: Rakover, Sam S.
      su:
        Face
        Recognition (Psychology)
        Whole & parts (Psychology)
        Visual perception
      sug:
        subj:
          Face
          Recognition (Psychology)
          Whole & parts (Psychology)
          Visual perception
      ab: The perception and memory of faces have been accounted for by the processing of two kinds of facial information: featural and configurational. The starting point of this article is the definition and accepted usage of these two concepts of facial information. I discuss these definitions and their various ramifications from three aspects: methodological, theoretical and empirical. In the section on methodology, I review several of the basic manipulations for changing facial information. In the theoretical section, I consider four fundamental hypotheses associated with these two kinds of facial information: the featural, configurational, holistic and norm hypotheses (the norm-based hypothesis and the ‘hierarchy of schemas’ hypothesis). In the section on empirical evidence, I survey relevant studies on the topic and consider these hypotheses through a description of various empirical phenomena that carry clear implications for the subject of the study. In conclusion, I propose two alternative directions for future research: first, a ‘task-information’ approach, which involves specifying what information is used for different tasks; and secondly, taking a different approach to the definition of the visual features for face processing, for example by using principal components analysis (PCA). Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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