Evidence map›Paper›PMID 28378781›Full record

ArticleScientific reports2017

Visual crowding is a combination of an increase of positional uncertainty, source confusion, and featural averaging.

William J Harrison, Peter J Bex

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Limits of iconic capacity for spatial position.Attention, perception & psychophysics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Oculomotor Contributions to Foveal Crowding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Visual Working Memory Is Independent of the Cortical Spacing Between Memoranda.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    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.

William J HarrisonDepartment of Psychology, University of Cambridge, Cambridge, UK.
Peter J BexDepartment of Psychology, Northeastern University, Boston, USA.

Funding

Efficient Assessment of Visual Deficits and Rehabilitation Methods in AmblyopiaR01EY021553 · NEI · OHIO STATE UNIVERSITY · PI LU, ZHONG-LIN · 2012 to 2016
$2.1M
NEI NIH HHS R01 EY021553
6 · The paper itself

Abstract

Although we perceive a richly detailed visual world, our ability to identify individual objects is severely limited in clutter, particularly in peripheral vision. Models of such "crowding" have generally been driven by the phenomenological misidentifications of crowded targets: using stimuli that do not easily combine to form a unique symbol (e.g. letters or objects), observers typically confuse the source of objects and report either the target or a distractor, but when continuous features are used (e.g. orientated gratings or line positions) observers report a feature somewhere between the target and distractor. To reconcile these accounts, we develop a hybrid method of adjustment that allows detailed analysis of these multiple error categories. Observers reported the orientation of a target, under several distractor conditions, by adjusting an identical foveal target. We apply new modelling to quantify whether perceptual reports show evidence of positional uncertainty, source confusion, and featural averaging on a trial-by-trial basis. Our results show that observers make a large proportion of source-confusion errors. However, our study also reveals the distribution of perceptual reports that underlie performance in this crowding task more generally: aggregate errors cannot be neatly labelled because they are heterogeneous and their structure depends on target-distractor distance.

Indexed as

ConfusionPattern Recognition, VisualUncertaintyVisual PerceptionForm PerceptionHumansOrientationSpace PerceptionVisual Fields

Identifiers

PMID28378781
PMCPMC5381224

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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.