Evidence map›Paper›PMID 31735843›Full record

ArticleVision (Basel, Switzerland)2019

Task-Irrelevant Features in Visual Working Memory Influence Covert Attention: Evidence from a Partial Report Task.

Rebecca M Foerster, Werner X Schneider

Abstract read
In one paragraph

Article in Vision (Basel, Switzerland), 2019. 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. Attention Dynamics in Spatial-Temporal Contexts.Behavioral sciences (Basel, Switzerland) · 2025
    Article
  2. Article
  3. 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.

Rebecca M FoersterNeuro-Cognitive Psychology & Centre for Interdisciplinary Research (ZiF), & Cognitive Interaction Technology Cluster of Excellence (CITEC), Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany.ORCID 0000-0002-4632-1382
Werner X SchneiderNeuro-Cognitive Psychology & Cognitive Interaction Technology Cluster of Excellence (CITEC), Bielefeld University, D-33501 Bielefeld, Germany.

Funding

Deutsche Forschungsgemeinschaft EXC 277
6 · The paper itself

Abstract

Selecting a target based on a representation in visual working memory (VWM) affords biasing covert attention towards objects with memory-matching features. Recently, we showed that even task-irrelevant features of a VWM template bias attention. Specifically, when participants had to saccade to a cued shape, distractors sharing the cue's search-irrelevant color captured the eyes. While a saccade always aims at one target location, multiple locations can be attended covertly. Here, we investigated whether covert attention is captured similarly as the eyes. In our partial report task, each trial started with a shape-defined search cue, followed by a fixation cross. Next, two colored shapes, each including a letter, appeared left and right from fixation, followed by masks. The letter inside that shape matching the preceding cue had to be reported. In Experiment 1, either target, distractor, both, or no object matched the cue's irrelevant color. Target-letter reports were most frequent in target-match trials and least frequent in distractor-match trials. Irrelevant cue and target color never matched in Experiment 2. Still, participants reported the distractor more often to the target's disadvantage, when cue and distractor color matched. Thus, irrelevant features of a VWM template can influence covert attention in an involuntarily object-based manner when searching for trial-wise varying targets.

Indexed as

attentional capturecovert attentioninvoluntary top-down controltemplatevisual working memory

Identifiers

PMID31735843
PMCPMC6802802

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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.