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Cited by 253

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Orienting attention in visual working memory reduces interference from memory probes.

Makovski, Tal, Sussman, Rachel, Jiang, Yuhong V.·2008·Journal of Experimental Psychology: Learning, Memory, and Cognition

Abstract

Given a changing visual environment, and the limited capacity of visual working memory (VWM), the contents of VWM must be in constant flux. Using a change detection task, the authors show that VWM is subject to obligatory updating in the face of new information. Change detection performance is enhanced when the item that may change is retrospectively cued 1 s after memory encoding and 0.5 s before testing. The retro-cue benefit cannot be explained by memory decay or by a reduction in interference from other items held in VWM. Rather, orienting attention to a single memory item makes VWM more resistant to interference from the test probe. The authors conclude that the content of VWM is volatile unless it receives focused attention, and that the standard change detection task underestimates VWM capacity.

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Crossref · 10.1037/0278-7393.34.2.369

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Metadata

Authors
Makovski, T., Sussman, R., & Jiang, Y. V.
Venue
Journal of Experimental Psychology: Learning, Memory, and Cognition
Published
2008
Volume
34
Issue
2
Pages
369-380
ISSN
  • 0278-7393 (ISSN-L)
  • 1939-1285
OpenAlex
W2153689714
Cited by
253
References
5
FWCI
7.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Orienting attention in visual working memory reduces interference from memory probes. https://app.cochat.ai/papers/10.1037/0278-7393.34.2.369
The paper
Makovski, T., Sussman, R., & Jiang, Y. V. (2008). Orienting attention in visual working memory reduces interference from memory probes. Journal of Experimental Psychology: Learning, Memory, and Cognition. https://doi.org/10.1037/0278-7393.34.2.369

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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.