Cited by 15Neural and Behavioral Psychology StudiesVisual Attention and Saliency DetectionVisual perception and processing mechanisms

The modulation of reward priority by top-down knowledge

Stankevich, Beth A., Geng, Joy J.·2015·Visual Cognition

Abstract

Reward-associated features capture attention automatically and continue to do so even when the reward contingencies are removed. This profile has led to the hypothesis that rewards belong to a separate class of attentional biases that is neither typically top-down nor bottom-up. The goal of these experiments was to understand the degree to which top-down knowledge can modulate value-driven attentional capture within (a) the timecourse of a single trial and (b) when the reward contingencies change explicitly over trials. The results suggested that top-down knowledge does not affect the size of value-driven attentional capture within a single trial. There were clear top-down modulations in the magnitude of value-driven capture when reward contingencies explicitly changed, but the original reward associations continued to have a persistent bias on attention. These results contribute to a growing body of evidence that reward associations bias attention through mechanisms separate from other top-down and bottom-up attentional biases.

Integrity signals

Registry

Crossref · 10.1080/13506285.2014.981626

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • When participants received explicit instructions about a reversal of the stimulus-reward associations, the direction of the attentional bias did not change immediately.

    “They found that when participants received explicit instructions about a reversal of the stimulus-reward associations, such that a previously nonrewarded stimulus feature was now associated with reward and vice versa, the direction of the attentional bias did not change immediately.”

    From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Stankevich & Geng, 2015

  • The attentional bias toward the feature associated with reward changed gradually.

    “Instead, the attentional bias toward the feature associated with reward changed gradually (for comparable findings in the context of a task where reward-associated stimuli are never task-relevant, see Failing & Theeuwes, 2017).”

    From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Stankevich & Geng, 2015

Cites

1 retracted

Flagged first, then by citations

2 of the 44 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Stankevich, B. A., & Geng, J. J.
Affiliations
University of California, Davis (US)
Corresponding author
Stankevich, Beth A.
Venue
Visual Cognition
Published
2015-01-09
Volume
23
Issue
1-2
Pages
206-228
ISSN
  • 1350-6285 (ISSN-L)
  • 1464-0716
OpenAlex
W2090651360
Cited by
15
References
44
Citations by year
2026: 4 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 2
FWCI
1.40
Type
journal article
Language
en
Open access
closed
Locations
Visual Cognition (publishedVersion)
Funders
  • Biotechnology and Biological Sciences Research Council (BB/J020206/1)
  • Economic and Social Research Council (ES/L000210/1)
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
attentional capture, top-down knowledge, value-driven attention, reward contingency, attentional bias, top-down modulation, bottom-up attention

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