A selective review of selective attention research from the past century
Abstract
Research on attention is concerned with selective processing of incoming sensory information. To some extent, our awareness of the world depends on what we choose to attend, not merely on the stimulation entering our senses. British psychologists have made substantial contributions to this topic in the past century. Celebrated examples include Donald Broadbent's filter theory of attention, which set the agenda for most subsequent work; and Anne Treisman's revisions of this account, and her later feature-integration theory. More recent contributions include Alan Allport's prescient emphasis on the relevance of neuroscience data, and John Duncan's integration of such data with psychological theory. An idiosyncratic but roughly chronological review of developments is presented, some practical and clinical implications are briefly sketched, and future directions suggested. One of the biggest changes in the field has been the increasing interplay between psychology and neuroscience, which promises much for the future. A related change has been the realization that selection attention is best thought of as a broad topic, encompassing a range of selective issues, rather than as a single explanatory process.
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Information on which we decide to focus our attention will be remembered better.
“and that information on which we decide to focus our attention (e.g., because we find it important) will be remembered better (Aly & Turk-Browne, 2017;Driver, 2001).”
From Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model (2024) · cites this paper as Driver, 2001
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Betteti, S., Baggio, G., Bullo, F., & Zampieri, S. (2025) · Science Advances · doi:10.1126/sciadv.adu6991 · Cited by 12 · see citing works
“In the SI we numerically show that (21) and the stationary density of (17) exhibit a similar shape.”
Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model
Hutmacher, F., Appel, M., & Schwan, S. (2024) · Psychological Inquiry · doi:10.1080/1047840x.2024.2384125 · Cited by 12 · see citing works
- Authors
- Driver, J.
- Affiliations
- University College London (GB)
- Corresponding author
- Driver, Jon
- Venue
- British Journal of Psychology
- Publisher
- Wiley
- Published
- 2001-02
- Volume
- 92
- Issue
- 1
- Pages
- 53-78
- ISSN
- 0007-1269 (ISSN-L)
- 2044-8295
- OpenAlex
- W2119291948
- Cited by
- 658
- References
- 110
- Citations by year
- 2026: 24 · 2025: 36 · 2024: 33 · 2023: 41 · 2022: 43 · 2021: 50 · 2020: 29 · 2019: 59 · 2018: 33 · 2017: 31 · 2016: 24 · 2015: 25 · 2014: 34 · 2013: 26 · 2012: 25
- FWCI
- 3.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- British Journal of Psychology (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- selective attention, Broadbent, feature integration theory
- MeSH terms
- Attention, Brain, United Kingdom, Psychological Theory, Psychology, History, 19th Century, History, 20th Century
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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