Evidence map›Paper›PMID 36453711›Full record

ArticleQuarterly journal of experimental psychology (2006)2023

Generalisation of value-based attentional priority is category-specific.

Andrew Clement, Laurent Grégoire, Brian A Anderson

Abstract read
In one paragraph

Article in Quarterly journal of experimental psychology (2006), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Rethinking Distraction.Visual cognition · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Andrew ClementDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-6319-4453
Laurent GrégoireDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
Brian A AndersonDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.

Funding

The Control of Attention and Learning from Physical EffortR01DA046410 · NIDA · TEXAS A&M UNIVERSITY · PI ANDERSON, BRIAN AUGUST · 2019 to 2023
$1.9M
NIDA NIH HHS R01 DA046410
6 · The paper itself

Abstract

A large body of research suggests that previously reward-associated stimuli can capture attention. Recent evidence also suggests that value-driven attentional biases can occur for a particular category of objects. However, it is unclear how broadly these category-level attentional biases can generalise. In the present study, we examined whether value-driven attentional biases can generalise to new exemplars of a category or semantically related categories using a modified version of the value-driven attentional capture paradigm. In an initial training phase, participants searched for two categories of objects and were rewarded for correctly fixating members of one target category. In a subsequent test phase, participants searched for two new categories of objects. A new exemplar of one of the previous target categories or a member of a semantically related category could appear as a critical distractor in this phase. Participants were more likely to initially fixate the critical distractor and fixated the distractor longer when it was a new exemplar of the previously rewarded category. However, similar findings were not observed for members of semantically related categories. Together, these findings suggest that the generalisation of value-based attentional priority is category-specific.

Indexed as

AttentionAttentional BiasGeneralization, PsychologicalHumansPhotic StimulationReaction TimeRewardAttentional captureeye movementsrewardsemantic relationshipsvalue-driven attention

Identifiers

PMID36453711
PMCPMC10319404

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.