Literature DB >> 10986367

The role of background knowledge in speeded perceptual categorization.

T J Palmeri1, C Blalock.   

Abstract

We examined the time-course of the influence of background knowledge on perceptual categorization by manipulating the meaningfulness of labels associated with categories and by manipulating the amount of time provided to subjects for making a categorization decision. Extending a paradigm originally reported by Wisniewski and Medin (1994) (Cog. Sci. 18 (1994) 221), subjects learned two categories of children's drawings that were given either meaningless labels (drawings by children from 'group 1' or 'group 2') or meaningful labels (drawings by 'creative' or 'non-creative' children); the meaningfulness of the label had a significant effect on how new drawings were classified. In addition, half of the subjects were provided unlimited time to respond, while the other half of the subjects were forced to respond quickly; speeded response conditions had a relatively large effect on categorization decisions by subjects given the meaningless labels but had relatively little effect on categorization decisions by subjects given the meaningful labels. These results suggest that some forms of background knowledge can show an influence at relatively early stages in the time-course of a categorization decision.

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Year:  2000        PMID: 10986367     DOI: 10.1016/s0010-0277(00)00100-1

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  10 in total

1.  Putting together prior knowledge, verbal arguments, and observations in category learning.

Authors:  E Heit
Journal:  Mem Cognit       Date:  2001-09

Review 2.  A knowledge-resonance (KRES) model of category learning.

Authors:  Bob Rehder; Gregory L Murphy
Journal:  Psychon Bull Rev       Date:  2003-12

3.  Psychological essentialist reasoning and perspective taking during reading: a donkey is not a zebra, but a plate can be a clock.

Authors:  Steven Frisson; Mary Wakefield
Journal:  Mem Cognit       Date:  2012-02

4.  Feature-feature causal relations and statistical co-occurrences in object concepts.

Authors:  Chris McNorgan; Rachel A Kotack; Deborah C Meehan; Ken McRae
Journal:  Mem Cognit       Date:  2007-04

5.  Category labels versus feature labels: category labels polarize inferential predictions.

Authors:  Takashi Yamauchi; Na-Yung Yu
Journal:  Mem Cognit       Date:  2008-04

6.  How prior knowledge affects selective attention during category learning: an eyetracking study.

Authors:  Shinwoo Kim; Bob Rehder
Journal:  Mem Cognit       Date:  2011-05

7.  Is better beautiful or is beautiful better? Exploring the relationship between beauty and category structure.

Authors:  Megan Sanders; Tyler Davis; Bradley C Love
Journal:  Psychon Bull Rev       Date:  2013-06

8.  Theory-based categorization under speeded conditions.

Authors:  Christian C Luhmann; Woo-Kyoung Ahn; Thomas J Palmeri
Journal:  Mem Cognit       Date:  2006-07

9.  The science of cycology: failures to understand how everyday objects work.

Authors:  Rebecca Lawson
Journal:  Mem Cognit       Date:  2006-12

10.  See what I mean? An ERP study of the effect of background knowledge on novel object processing.

Authors:  Caterina Gratton; Karen M Evans; Kara D Federmeier
Journal:  Mem Cognit       Date:  2009-04
  10 in total

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