Cited by 99Neural and Behavioral Psychology StudiesVisual Attention and Saliency DetectionVisual perception and processing mechanisms

Value-driven attentional priority is context specific

Open access
Anderson, Brian A.·2015·Psychonomic Bulletin & Review

Abstract

Attention is automatically drawn to stimulus features previously associated with reward, a phenomenon referred to as value-driven attentional capture. To date, value-driven attentional capture has been studied exclusively by manipulating stimulus-reward contingencies in an experimental setting. Although practical and intuitively appealing, this approach poses theoretical challenges to understanding the broader impact of reward on attention in everyday life. These challenges arise from the fact that associative learning between a given visual feature and reward is not limited to the context of an experiment, yet such extra-experimental learning is completely ignored in studies of value-driven attention. How is it, then, that experimentally established reward associations even influence attention, seemingly overshadowing any prior learning about particular features and rewards? And how do the effects of this experimental learning persist over long periods of time, in spite of all the intervening experiences outside of the lab that might interfere with the learning? One potential answer to these questions is that value-driven attention is context specific, such that different contexts evoke different value priors that the attention system uses to assign priority. In the present study, I directly tested this hypothesis. The results show that the same stimulus feature either does or does not capture attention, depending on whether it has been rewarded specifically in the context within which it appears. The findings provide insight into how multiple reward structures can efficiently guide attention with minimal interference.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3758/s13423-014-0724-0

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Anderson, B. A.
Affiliations
Johns Hopkins University (US)
Corresponding author
Anderson, Brian A.
Venue
Psychonomic Bulletin & Review
Published
2014-09-09
Volume
22
Issue
3
Pages
750-756
ISSN
  • 1069-9384 (ISSN-L)
  • 1531-5320
OpenAlex
W2043449937
Cited by
99
References
31
Citations by year
2026: 5 · 2025: 8 · 2024: 6 · 2023: 7 · 2022: 13 · 2021: 9 · 2020: 11 · 2019: 7 · 2018: 10 · 2017: 6 · 2016: 10 · 2015: 7
FWCI
4.28
Type
journal article
Language
en
Open access
Locations
  • Psychonomic Bulletin & Review (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute on Drug Abuse (R01DA013165, F31DA033754)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords
value-driven attention, attentional capture, context specificity, reward association, associative learning, attentional priority, attentional interference
MeSH terms
Adolescent, Adult, Attention, Female, Humans, Male, Psychomotor Performance, Reward, Young Adult

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review