Evidence map›Paper›PMID 42110353›Full record

ArticleIEEE International Conference on Development and Learning. IEEE International Conference on Development and Learning2025

Overlooked Input for Word Learning: Examining the Role of Attention on Non-Target Objects During Object Labeling.

Steve Zhang, Danlu Zhang, Melina Knabe, Chen Yu

Abstract read
In one paragraph

Article in IEEE International Conference on Development and Learning. IEEE International Conference on Development and Learning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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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

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

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

4 authors.

Steve ZhangRice University, Houston, TX 77005, USA.
Danlu ZhangQualcomm Inc, San Diego, CA, 92121, USA.
Melina KnabeDepartment of Psychology and Center for Perceptual Systems, Austin, TX 88712 USA.
Chen YuDepartment of Psychology and Center for Perceptual Systems, Austin, TX 88712 USA.

Funding

What you see is what you learn: Visual attention in statistical word learningR01HD093792 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI YU, CHEN · 2018 to 2022
$1.7M
Sensorimotor Dynamics of Parent-Child Interactions Build Word Learning SkillsR01HD074601 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI YU, CHEN · 2013 to 2017
$1.6M
Quantity Meets Quality: Examining input statistics for early word learning from the infant’s point of viewR01HD119490 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Chen Yu · 2025 to 2026
$676k
NICHD NIH HHS R01 HD074601NICHD NIH HHS R01 HD093792NICHD NIH HHS R01 HD119490
6 · The paper itself

Abstract

Picture book reading is an important word learning context for children. Using eye-tracking methodology, we studied infants' attention to objects when parents named them. We took a novel perspective by examining the statistical regularities that are created when infants attend to the named target object and to non-target objects. We found that the objects infants attended to during parents' naming were more semantically similar to the named object. Furthermore, we observed a reinforcing loop between parents' naming and children's attention: When infants attended to non-target objects, parents were more likely to name this object shortly after, and this increased infants' gaze to the new target object. Moreover, the more adept parents were at naming the non-target objects their infants attended to, the higher their infants' overall attention levels during naming. Together, this study considers an often overlooked input for word learning, showing that attention to non-target objects may provide additional statistical regularities in space and time that infants can use to flexibly build word knowledge. The results also have implications for how parents can support word learning in book reading contexts and may contribute to the design of artificial intelligence that learns in more human-like ways.

Indexed as

book readingparent-child interactionssemantic learningvisual attentionword learning

Identifiers

PMID42110353
PMCPMC13156901

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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.