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Domain differences in the weights of perceptual and conceptual information in children’s categorization

Bibliographic Data

ID9788241
AuthorsGil Diesendruck (0000-0002-1352-7173, corresponding author), Shimon Peretz
Year2013
Volume49
Issue12
Pages2383-2395
Publication date2013-01-01
Open AccessNo
TypeARTICLE
VenueDevelopmental Psychology (JOURNAL)
Journal identifiersISSN: 0012-1649 • E-ISSN: 1939-0599
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/a0032049
PMID23437802
OpenAlexW2322070664
LanguageEN
Citations received5
References cited3

Visual appearance is one of the main cues children rely on when categorizing novel objects. In 3 studies, testing 128 3-year-olds and 192 5-year-olds, we investigated how various kinds of information may differentially lead children to overlook visual appearance in their categorization decisions across domains. Participants saw novel animals or artifacts of varying degrees of similarity to target categories and were asked to place them in 1 of 2 categories. Manipulated across studies was the kind of information pitted against visual similarity: internal information (Study 1, both 3- and 5-year-olds), intentional information (Study 2, both 3- and 5-year-olds), or labels (Study 3, only 5-year-olds). Overall, we found that for 5-year-olds, but not so for 3-year-olds, internal information had a stronger effect on the categorization of animals than of artifacts. Intentional information, in turn, had a stronger effect on both age groups' categorization of artifacts than of animals. Labels too had a stronger effect on 5-year-olds' categorization of artifacts than of animals. These findings are consistent with a domain-specific account of categorization, according to which the weight of different kinds of information on categorization decisions depends on children's developing understanding of domains

Categorization · Cognition · Cognitive psychology · Concept learning · Developmental psychology · Domain (mathematical analysis · Perception · Similarity (geometry · Visual perception · Animal and Plant Science Education · Artificial Intelligence · Child and Animal Learning Development · Computer Science · Psychology · Social Psychology

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Citations per year0.71
Citation span2019 - 2023 (5)
Highly citedNo

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