Evidence map›Paper›PMID 42443600›Full record

ArticleAttention, perception & psychophysics2026

Understanding Navon: Different designs of local-global tasks capture different bias effects.

Felix Schweigkofler, Sjoerd Stuit, Johan Wagemans, Leendert van Maanen, Stefan van der Stigchel

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Felix SchweigkoflerUtrecht University, Heidelberglaan 1, 83508 TC, Utrecht, the Netherlands. f.schweigkofler@uu.nl.ORCID http://orcid.org/0000-0002-5632-8799
Sjoerd StuitUtrecht University, Heidelberglaan 1, 83508 TC, Utrecht, the Netherlands.
Johan WagemansKatholiekee Universiteit Leuven, Tiensestraat 102 - box 3711, 3000, Leuven, Belgium.
Leendert van MaanenUtrecht University, Heidelberglaan 1, 83508 TC, Utrecht, the Netherlands.
Stefan van der StigchelUtrecht University, Heidelberglaan 1, 83508 TC, Utrecht, the Netherlands.

Funding

Sociale en Geesteswetenschappen, NWO VICI Grant
6 · The paper itself

Abstract

When processing hierarchical compound figures with local elements in a global shape (often called the "Navon task"), an observer may perceive information from the local or the global level more quickly and/or accurately. This difference is referred to as local-global bias. This basic principle - measuring a difference between the local and global level - is conceptually very broad and can be implemented with many different task designs and figure designs. Importantly, however, there exists a pervasive notion of this bias being a unitary construct or even representative of a stable perceptual or cognitive style. However, few studies have examined the various facets of local-global bias across different task designs or assessed the retest reliability of these measures. Our study aimed to deepen the understanding of local-global bias by using three different hierarchical compound figure tasks: the Navon task and two Kimchi-Palmer task variations (one preference-based, one performance-based). We tested 75 participants across two sessions 1 week apart. Our findings revealed that metrics from the Navon task are not test-retest reliable, whereas two metrics from the Kimchi-Palmer tasks are. Some metrics were correlated between the Kimchi-Palmer tasks, but not between the Kimchi-Palmer task and the Navon task. These results suggest that local-global bias is not a unitary construct, and that different tasks measure different underlying mechanisms. We discuss possible reasons for these differences and suggest that future research should use multiple local-global tasks or otherwise prioritize Kimchi-Palmer tasks for studying individual traits and possibly Navon tasks for temporary and group-level effects.

Indexed as

AttentionPattern Recognition, VisualAdultFemaleHumansMaleReaction TimeReproducibility of ResultsYoung AdultGlobal precedenceIndividual diff erencesKimchi-Palmer taskLocal-global processingNavon taskTest-retest reliabiliy

Identifiers

PMID42443600
PMCPMC13364934

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LicenceCC BY
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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.