Evidence map›Paper›PMID 29287205›Full record

ArticleJournal of experimental child psychology2018

Novel names extend for how long preschool children sample visual information.

Paulo F Carvalho, Catarina Vales, Caitlin M Fausey, Linda B Smith

Abstract read
In one paragraph

Article in Journal of experimental child psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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.

Paulo F CarvalhoHuman-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Electronic address: pcarvalh@andrew.cmu.edu.
Catarina ValesDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Caitlin M FauseyDepartment of Psychology, University of Oregon, Eugene, OR 97403, USA.
Linda B SmithDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.

Funding

TRAINING PROGRAM IN INTEGRATIVE DEVELOPMENTAL PROCESST32HD007475 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI Daniel Patrick Kennedy, LINDA B. SMITH · 1995 to 2026
$9.5M
The Shape Bias in Early Word LearningR01HD028675 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI SMITH, LINDA B. · 1992 to 2016
$3.0M
NICHD NIH HHS R01 HD028675NICHD NIH HHS T32 HD007475
6 · The paper itself

Abstract

Known words can guide visual attention, affecting how information is sampled. How do novel words, those that do not provide any top-down information, affect preschoolers' visual sampling in a conceptual task? We proposed that novel names can also change visual sampling by influencing how long children look. We investigated this possibility by analyzing how children sample visual information when they hear a sentence with a novel name versus without a novel name. Children completed a match-to-sample task while their moment-to-moment eye movements were recorded using eye-tracking technology. Our analyses were designed to provide specific information on the properties of visual sampling that novel names may change. Overall, we found that novel words prolonged the duration of each sampling event but did not affect sampling allocation (which objects children looked at) or sampling organization (how children transitioned from one object to the next). These results demonstrate that novel words change one important dynamic property of gaze: Novel words can entrain the cognitive system toward longer periods of sustained attention early in development.

Indexed as

LanguageNamesAttentionChild DevelopmentChild, PreschoolEye MovementsFemaleHumansMaleAttentionLanguage developmentMatch-to-sample taskNamingVisual perceptionVisual sampling

Identifiers

PMID29287205
PMCPMC5805614

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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.