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Cited by 280

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Auditory Distraction and Short-Term Memory: Phenomena and Practical Implications

Banbury, Simon P., Macken, William J., Tremblay, Sébastien, Jones, Dylan M.·2001·Human Factors: The Journal of the Human Factors and Ergonomics Society

Abstract

Irrelevant sound tends to break through selective attention and impair cognitive performance. This observation has been brought under systematic scrutiny by laboratory studies measuring interference with memory performance during exposure to irrelevant sound. These studies established that the degree of interference depends on the properties of the irrelevant sound as well as those of the cognitive task. The way in which this interference increases or diminishes as characteristics of the sound and of the cognitive task are changed reveals key functional characteristics of auditory distraction. A number of important practical implications that arise from these studies are discussed, including the finding that relatively quiet background sound will have a marked effect on efficiency in performing cognitive tasks.

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Metadata

Authors
Banbury, S. P., Macken, W. J., Tremblay, S., & Jones, D. M.
Venue
Human Factors: The Journal of the Human Factors and Ergonomics Society
Published
2001-03
Volume
43
Issue
1
Pages
12-29
ISSN
  • 0018-7208 (ISSN-L)
  • 1547-8181
OpenAlex
W2120308768
Cited by
280
References
2
FWCI
20.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Auditory Distraction and Short-Term Memory: Phenomena and Practical Implications. https://app.cochat.ai/papers/10.1518/001872001775992462
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Banbury, S. P., Macken, W. J., Tremblay, S., & Jones, D. M. (2001). Auditory Distraction and Short-Term Memory: Phenomena and Practical Implications. Human Factors: The Journal of the Human Factors and Ergonomics Society. https://doi.org/10.1518/001872001775992462

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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.