Evidence map›Paper›PMID 31974937›Full record

ArticleAttention, perception & psychophysics2020

Flexible target templates improve visual search accuracy for faces depicting emotion.

Bo-Yeong Won, Jason Haberman, Eliza Bliss-Moreau, Joy J Geng

Abstract read
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Bo-Yeong WonCenter for Mind and Brain, University of California Davis, Davis, CA, USA. bywon@ucdavis.edu.
Jason HabermanRhodes College, Memphis, TN, USA.
Eliza Bliss-MoreauDepartment of Psychology, University of California Davis, Davis, CA, USA.
Joy J GengCenter for Mind and Brain, University of California Davis, Davis, CA, USA. jgeng@ucdavis.edu.

Funding

Quantifying the attentional templateR01MH113855 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GENG, JOY JIA · 2018 to 2022
$1.9M
Division of Behavioral and Cognitive Sciences 201502778NIMH NIH HHS 113855NIMH NIH HHS R01 MH113855
6 · The paper itself

Abstract

Theories of visual attention hypothesize that target selection depends upon matching visual inputs to a memory representation of the target - i.e., the target or attentional template. Most theories assume that the template contains a veridical copy of target features, but recent studies suggest that target representations may shift "off veridical" from actual target features to increase target-to-distractor distinctiveness. However, these studies have been limited to simple visual features (e.g., orientation, color), which leaves open the question of whether similar principles apply to complex stimuli, such as a face depicting an emotion, the perception of which is known to be shaped by conceptual knowledge. In three studies, we find confirmatory evidence for the hypothesis that attention modulates the representation of an emotional face to increase target-to-distractor distinctiveness. This occurs over-and-above strong pre-existing conceptual and perceptual biases in the representation of individual faces. The results are consistent with the view that visual search accuracy is determined by the representational distance between the target template in memory and distractor information in the environment, not the veridical target and distractor features.

Indexed as

AttentionEmotionsVisual PerceptionColorHumansMemoryPattern Recognition, VisualAttention: selectiveVisual memory and face recognitionVisual search

Identifiers

PMID31974937
PMCPMC8806142

What OpenQuestion holds

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Registered trials

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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.