Evidence map›Paper›PMID 31741317›Full record

Trial reportAttention, perception & psychophysics2020

Flexible weighting of target features based on distractor context.

Jeongmi Lee, Joy J Geng

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Attention, perception & psychophysics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Expected distractor context biases the attentional template for target shapes.Journal of experimental psychology. Human perception and performance · 2023
    Article
  5. Attentional priority is determined by predicted feature distributions.Journal of experimental psychology. Human perception and performance · 2022
    Article
  6. Article
  7. Article
  8. 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

2 authors.

Jeongmi LeeGraduate School of Culture Technology, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea. jeongmi@kaist.ac.kr.
Joy J GengCenter for Mind and Brain, University of California, Davis, 267 Cousteau Pl, Davis, CA, 95618, USA.

Funding

Quantifying the attentional templateR01MH113855 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GENG, JOY JIA · 2018 to 2022
$1.9M
National Science Foundation BCS 1230377-0NIMH NIH HHS R01 MH113855
6 · The paper itself

Abstract

Models of attention posit that attentional priority is established by summing the saliency and relevancy signals from feature-selective maps. The dimension-weighting account further hypothesizes that information from each feature-selective map is weighted based on expectations of how informative each dimension will be. In the current studies, we investigated the question of whether attentional biases to the features of a conjunction target (color and orientation) differ when one dimension is expected to be more diagnostic of the target. In a series of color-orientation conjunction search tasks, observers saw an exact cue for the upcoming target, while the probability of distractors sharing a target feature in each dimension was manipulated. In one context, distractors were more likely to share the target color, and in another, distractors were more likely to share the target orientation. The results indicated that despite an overall bias toward color, attentional priority to each target feature was flexibly adjusted according to distractor context: RT and accuracy performance was better when the diagnostic feature was expected than unexpected. This occurred both when the distractor context was learned implicitly and explicitly. These results suggest that feature-based enhancement can occur selectively for the dimension expected to be most informative in distinguishing the target from distractors.

Indexed as

AdultAttentional BiasColor PerceptionCuesFemaleHumansLearningMaleOrientation, SpatialProbabilityReaction TimeVisual PerceptionYoung AdultAttention: Selective, AttentionTheoretical and Computational ModelsVisual search

Identifiers

PMID31741317
PMCPMC8815311

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.