Evidence map›Paper›PMID 34690725›Full record

ArticleFrontiers in human neuroscience2021

The Grouping-Induced Numerosity Illusion Is Attention-Dependent.

Antonella Pomè, Camilla Caponi, David C Burr

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Connectedness effects in enumeration of small numbers.Attention, perception & psychophysics · 2025
    Article
  3. Feature-selective adaptation of numerosity perception.Proceedings. Biological sciences · 2025
    Article
  4. Article
  5. Article
  6. Autistic individuals show less grouping-induced bias in numerosity judgments.Frontiers in child and adolescent psychiatry · 2023
    Article
  7. Article
  8. Article
  9. Visual P2p component responds to perceived numerosity.Frontiers in human neuroscience · 2022
    Article
  10. 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.

Antonella PomèDepartment of Neuroscience, Psychology, Pharmacology, and Child Health, University of Florence, Florence, Italy.
Camilla CaponiDepartment of Neuroscience, Psychology, Pharmacology, and Child Health, University of Florence, Florence, Italy.
David C BurrDepartment of Neuroscience, Psychology, Pharmacology, and Child Health, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perceptual grouping and visual attention are two mechanisms that help to segregate visual input into meaningful objects. Here we report how perceptual grouping, which affects perceived numerosity, is reduced when visual attention is engaged in a concurrent visual task. We asked participants to judge the numerosity of clouds of dot-pairs connected by thin lines, known to cause underestimation of numerosity, while simultaneously performing a color conjunction task. Diverting attention to the concomitant visual distractor significantly reduced the grouping-induced numerosity biases. Moreover, while the magnitude of the illusion under free viewing covaried strongly with AQ-defined autistic traits, under conditions of divided attention the relationship was much reduced. These results suggest that divided attention modulates the perceptual grouping of elements by connectedness and that it is independent of the perceptual style of participants.

Indexed as

attentionautistic quotientconnectednessgroupingnumerosity perceptionsegmentation

Identifiers

PMID34690725
PMCPMC8528175

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.