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Cited by 2,338

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

To See or not to See: The Need for Attention to Perceive Changes in Scenes

Open access
Rensink, Ronald A., O'Regan, J. Kevin, Clark, James J.·1997·Psychological Science

Abstract

When looking at a scene, observers feel that they see its entire structure in great detail and can immediately notice any changes in it However, when brief blank fields are placed between alternating displays of an original and a modified scene, a striking failure of perception is induced Identification of changes becomes extremely difficult, even when changes are large and made repeatedly Identification is much faster when a verbal cue is provided showing that poor visibility is not the cause of this difficulty Identification is also faster for objects considered to be important in the scene These results support the idea that observers never form a complete, detailed representation of their surroundings In addition, the results indicate that attention is required to perceive change, and that in the absence of localized motion signals attention is guided on the basis of high-level interest

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Crossref · 10.1111/j.1467-9280.1997.tb00427.x

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Metadata

Authors
Rensink, R. A., O'Regan, J. K., & Clark, J. J.
Venue
Psychological Science
Published
1997-09
Volume
8
Issue
5
Pages
368-373
ISSN
  • 0956-7976 (ISSN-L)
  • 1467-9280
OpenAlex
W2142796031
Cited by
2,338
References
4
FWCI
23.02
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: To See or not to See: The Need for Attention to Perceive Changes in Scenes. https://app.cochat.ai/papers/10.1111/j.1467-9280.1997.tb00427.x
The paper
Rensink, R. A., O'Regan, J. K., & Clark, J. J. (1997). To See or not to See: The Need for Attention to Perceive Changes in Scenes. Psychological Science. https://doi.org/10.1111/j.1467-9280.1997.tb00427.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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