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Cited by 883

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Seeing Sets: Representation by Statistical Properties

Ariely, Dan·2001·Psychological Science

Abstract

Sets of similar objects are common occurrences—a crowd of people, a bunch of bananas, a copse of trees, a shelf of books, a line of cars. Each item in the set may be distinct, highly visible, and discriminable. But when we look away from the set, what information do we have? The current article starts to address this question by introducing the idea of a set representation. This idea was tested using two new paradigms: mean discrimination and member identification. Three experiments using sets of different-sized spots showed that observers know a set's mean quite accurately but know little about the individual items, except their range. Taken together, these results suggest that the visual system represents the overall statistical, and not individual, properties of sets.

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Metadata

Authors
Ariely, D.
Venue
Psychological Science
Published
2001-03
Volume
12
Issue
2
Pages
157-162
ISSN
  • 0956-7976 (ISSN-L)
  • 1467-9280
OpenAlex
W2153581683
Cited by
883
References
3
FWCI
10.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Seeing Sets: Representation by Statistical Properties. https://app.cochat.ai/papers/10.1111/1467-9280.00327
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Ariely, D. (2001). Seeing Sets: Representation by Statistical Properties. Psychological Science. https://doi.org/10.1111/1467-9280.00327

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.