Cited by 89Visual Attention and Saliency DetectionVisual perception and processing mechanismsNeural and Behavioral Psychology Studies

Reward has a residual impact on target selection in visual search, but not on the suppression of distractors

Hickey, Clayton, Chelazzi, Leonardo, Theeuwes, Jan·2011·Visual Cognition

Abstract

In the reinforcement learning literature, good outcome following selection of a visual object is thought to bias perception and attention in favour of similar objects in later experience. This impact of reward might be instantiated in two ways: Reward could prime target features or it could act to facilitate suppression of distractors present when reward was received. Here we report results from an experiment in which reward outcome was selectively associated either with the colour defining a visual search target or with the colour defining a salient distractor in the display. Reward's impact on search was evident only when it was tied to the target; reward made it no easier to ignore a distractor when it subsequently reappeared as a distractor. This suggests that reward acts largely to prime target representations, consistent with the idea that objects associated with good outcome become visually salient.

Integrity signals

Registry

Crossref · 10.1080/13506285.2010.503946

Cites

30 of 30 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?

  • Reward intertrial priming affects predominantly target representations.

    “reward intertrial priming affects predominantly target representations (e.g., Hickey, Chelazzi, & Theeuwes, 2011; Kristjánsson et al., 2010).”

    From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Hickey, Chelazzi, & Theeuwes, 2011

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Hickey, C., Chelazzi, L., & Theeuwes, J.
Affiliations
  • Vrije Universiteit Amsterdam (NL)
  • University of Verona (IT)
Corresponding author
Hickey, Clayton
Venue
Visual Cognition
Published
2011-01
Volume
19
Issue
1
Pages
117-128
ISSN
  • 1350-6285 (ISSN-L)
  • 1464-0716
OpenAlex
W2110335215
Cited by
89
References
30
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2023: 5 · 2022: 5 · 2021: 2 · 2020: 3 · 2019: 5 · 2018: 3 · 2017: 8 · 2016: 10 · 2015: 11 · 2014: 14 · 2013: 7 · 2012: 8
FWCI
7.06
Type
journal article
Language
en
Open access
closed
Locations
  • Visual Cognition (publishedVersion)
  • Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
  • Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
  • VU Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
reward, visual search, distractor suppression, target selection, reinforcement learning, visual saliency, 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