Evidence map›Paper›PMID 35384595›Full record

ArticlePsychonomic bulletin & review2022

Pupil size variations reveal covert shifts of attention induced by numbers.

Samuel Salvaggio, Michael Andres, Alexandre Zénon, Nicolas Masson

Abstract read
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In one paragraph

Article in Psychonomic bulletin & review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Samuel SalvaggioPsychological Sciences Research Institute, Université catholique de Louvain, Place Cardinal Mercier, 10, Louvain-la-Neuve, Louvain, Belgium.
Michael AndresPsychological Sciences Research Institute, Université catholique de Louvain, Place Cardinal Mercier, 10, Louvain-la-Neuve, Louvain, Belgium.
Alexandre ZénonInstitut de Neurosciences Cognitives et Intégratives d'Aquitaine, 33076, Bordeaux, France.
Nicolas MassonPsychological Sciences Research Institute, Université catholique de Louvain, Place Cardinal Mercier, 10, Louvain-la-Neuve, Louvain, Belgium. nicolas.masson@uclouvain.be.ORCID http://orcid.org/0000-0002-6989-3375

Funding

Agence Nationale de la Recherche ANR-18-CE37-0009-01Fonds De La Recherche Scientifique - FNRS PDR-FNRS T.0245.16Fonds De La Recherche Scientifique - FNRS PDR- T.0047.18Fonds National de la Recherche Luxembourg FNR-INTER/FNRS/17/1178524
6 · The paper itself

Abstract

The pupil light response is more than a pure reflexive mechanism that reacts to the amount of light entering the eye. The pupil size may also react to the luminance of objects lying in the visual periphery, revealing the locus of covert attention. In the present study, we took advantage of this response to study the spatial coding of abstract concepts with no physical counterpart: numbers. The participants' gaze was maintained fixed in the middle of a screen whose left and right parts were dark or bright, and variations in pupil size were recorded during an auditory number comparison task. The results showed that small numbers accentuated pupil dilation when the darker part of the screen was on the left, while large numbers accentuated pupil dilation when the darker part of the screen was on the right. This finding provides direct evidence for covert attention shifts on a left-to-right oriented mental spatial representation of numbers. From a more general perspective, it shows that the pupillary response to light is subject to modulation from spatial attention mechanisms operating on mental contents.

Indexed as

PupilVision, OcularConcept FormationHumansNumerical cognitionPupillometrySpatial attentionVisual working memory

Identifiers

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Textmetadata
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.