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Geometric and featural representations in semantic concepts

Wolf Vanpaemel, Timothy Verbeemen, Matthew Dry, Tom Verguts UGent and Gert Storms (2010) MEMORY & COGNITION. 38(7). p.962-968
abstract
We explore the adequacy of two types of similarity representation in the context of semantic concepts. To this end, we evaluate different categorization models, assuming either a geometric or a featural representation, using categorization decisions involving familiar and unfamiliar foods and animals. The study aims to assess the optimal stimulus representation as a function of the familiarity of the stimuli. For the unfamiliar stimuli, the geometric categorization models provide the best account of the categorization data, whereas for the familiar stimuli, the featural categorization models provide the best account. This pattern of results suggests that people rely on perceptual information to assign an unfamiliar stimulus to a category but rely on more elaborate conceptual knowledge when assigning a familiar stimulus.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
CONTEXT THEORY, MODEL, JUDGMENTS, COMPLEXITY, PROTOTYPES, SIMILARITY, CATEGORIZATION, STIMULUS, IDENTIFICATION, CLASSIFICATION
journal title
MEMORY & COGNITION
Mem. Cogn.
volume
38
issue
7
pages
962 - 968
Web of Science type
Article
Web of Science id
000283457400012
JCR category
PSYCHOLOGY, EXPERIMENTAL
JCR impact factor
1.797 (2010)
JCR rank
42/79 (2010)
JCR quartile
3 (2010)
ISSN
0090-502X
DOI
10.3758/MC.38.7.962
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1096387
handle
http://hdl.handle.net/1854/LU-1096387
date created
2011-01-10 13:13:37
date last changed
2011-01-14 11:29:15
@article{1096387,
  abstract     = {We explore the adequacy of two types of similarity representation in the context of semantic concepts. To this end, we evaluate different categorization models, assuming either a geometric or a featural representation, using categorization decisions involving familiar and unfamiliar foods and animals. The study aims to assess the optimal stimulus representation as a function of the familiarity of the stimuli. For the unfamiliar stimuli, the geometric categorization models provide the best account of the categorization data, whereas for the familiar stimuli, the featural categorization models provide the best account. This pattern of results suggests that people rely on perceptual information to assign an unfamiliar stimulus to a category but rely on more elaborate conceptual knowledge when assigning a familiar stimulus.},
  author       = {Vanpaemel, Wolf and Verbeemen, Timothy and Dry, Matthew and Verguts, Tom and Storms, Gert},
  issn         = {0090-502X},
  journal      = {MEMORY \& COGNITION},
  keyword      = {CONTEXT THEORY,MODEL,JUDGMENTS,COMPLEXITY,PROTOTYPES,SIMILARITY,CATEGORIZATION,STIMULUS,IDENTIFICATION,CLASSIFICATION},
  language     = {eng},
  number       = {7},
  pages        = {962--968},
  title        = {Geometric and featural representations in semantic concepts},
  url          = {http://dx.doi.org/10.3758/MC.38.7.962},
  volume       = {38},
  year         = {2010},
}

Chicago
Vanpaemel, Wolf, Timothy Verbeemen, Matthew Dry, Tom Verguts, and Gert Storms. 2010. “Geometric and Featural Representations in Semantic Concepts.” Memory & Cognition 38 (7): 962–968.
APA
Vanpaemel, W., Verbeemen, T., Dry, M., Verguts, T., & Storms, G. (2010). Geometric and featural representations in semantic concepts. MEMORY & COGNITION, 38(7), 962–968.
Vancouver
1.
Vanpaemel W, Verbeemen T, Dry M, Verguts T, Storms G. Geometric and featural representations in semantic concepts. MEMORY & COGNITION. 2010;38(7):962–8.
MLA
Vanpaemel, Wolf, Timothy Verbeemen, Matthew Dry, et al. “Geometric and Featural Representations in Semantic Concepts.” MEMORY & COGNITION 38.7 (2010): 962–968. Print.