Evidence map›Paper›PMID 28149677›Full record

ArticlePeerJ2017

Developing the Leuven Embedded Figures Test (L-EFT): testing the stimulus features that influence embedding.

Lee de-Wit, Hanne Huygelier, Ruth Van der Hallen, Rebecca Chamberlain, Johan Wagemans

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Article in PeerJ, 2017. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Training focal lung pathology detection using an eye movement modeling example.Journal of medical imaging (Bellingham, Wash.) · 2021
    Article
  6. Article
  7. Autistic traits in synaesthesia: atypical sensory sensitivity and enhanced perception of details.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  8. Article
  9. Article
  10. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lee de-Wit *Institute of Continuing Education, University of Cambridge, Cambridge, United Kingdom.
Hanne Huygelier *Laboratory of Experimental Psychology, Katholieke Universiteit Leuven, Leuven, Belgium.
Ruth Van der HallenLaboratory of Experimental Psychology, Katholieke Universiteit Leuven, Leuven, Belgium.
Rebecca ChamberlainLaboratory of Experimental Psychology, Katholieke Universiteit Leuven, Leuven, Belgium.
Johan WagemansLaboratory of Experimental Psychology, Katholieke Universiteit Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Embedded Figures Test (EFT, developed by Witkin and colleagues (1971)) has been used extensively in research on individual differences, particularly in the study of autism spectrum disorder. The EFT was originally conceptualized as a measure of field (in)dependence, but in recent years performance on the EFT has been interpreted as a measure of local versus global perceptual style. Although many have used the EFT to measure perceptual style, relatively few have focused on understanding the stimulus features that cause a shape to become embedded. The primary aim of this work was to investigate the relation between the strength of embedding and perceptual grouping on a group level.

methodNew embedded figure stimuli (both targets and contexts) were developed in which stimulus features that may influence perceptual grouping were explicitly manipulated. The symmetry, closure and complexity of the target shape were manipulated as well as its good continuation by varying the number of lines from the target that continued into the context. We evaluated the effect of these four stimulus features on target detection in a new embedded figures task (Leuven Embedded Figures Test, L-EFT) in a group of undergraduate psychology students. The results were then replicated in a second experiment using a slightly different version of the task.

resultsStimulus features that influence perceptual grouping, especially good continuation and symmetry, clearly affected performance (lower accuracy, slower response times) on the L-EFT. Closure did not yield results in line with our predictions. DISCUSSION: These results show that some stimulus features, which are known to affect perceptual grouping, also influence how effectively a stimulus becomes embedded in different contexts. Whether these results imply that the EFT measures individual differences in perceptual grouping ability must be further investigated.

Indexed as

AutismEmbedded figuresField dependenceGestaltGood continuationLocal global perceptionPerceptual groupingPerceptual organizationPerceptual style

Identifiers

PMID28149677
PMCPMC5267572

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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.