Evidence map›Paper›PMID 34418252›Full record

ArticleInfancy : the official journal of the International Society on Infant Studies2021

Linguistic and developmental influences on superordinate facial configuration categorization in infancy.

Ashley L Ruba, Andrew N Meltzoff, Betty M Repacholi

Abstract read
In one paragraph

Article in Infancy : the official journal of the International Society on Infant Studies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Ashley L RubaUniversity of Wisconsin - Madison, Madison, Wisconsin, USA.ORCID 0000-0001-6213-6868
Andrew N MeltzoffUniversity of Washington, Seattle, Washington, USA.ORCID 0000-0001-8683-0547
Betty M RepacholiUniversity of Washington, Seattle, Washington, USA.

Funding

TRAINING PROGRAM IN EMOTION RESEARCHT32MH018931 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI Richard J Davidson · 1989 to 2026
$11.6M
NIMH NIH HHS T32 MH018931
6 · The paper itself

Abstract

Humans perceive emotions in terms of categories, such as "happiness," "sadness," and "anger." To learn these complex conceptual emotion categories, humans must first be able to perceive regularities in expressive behaviors (e.g., facial configurations) across individuals. Recent research suggests that infants spontaneously form "basic-level" categories of facial configurations (e.g., happy vs. fear), but not "superordinate" categories of facial configurations (e.g., positive vs. negative). The current studies further explore how infant age and language impact superordinate categorization of facial configurations associated with different negative emotions. Across all experiments, infants were habituated to one person displaying facial configurations associated with anger and disgust. While 10-month-olds formed a category of person identity (Experiment 1), 14-month-olds formed a category that included negative facial configurations displayed by the same person (Experiment 2). However, neither age formed the hypothesized superordinate category of negative valence. When a verbal label ("toma") was added to each of the habituation events (Experiment 3), 10-month-olds formed a category similar to 14-month-olds in Experiment 2. These findings intersect a larger conversation about the nature and development of children's emotion categories and highlight the importance of considering developmental processes, such as language learning and attentional/memory development, in the design and interpretation of infant categorization studies.

Indexed as

EmotionsFacial ExpressionAngerChildHappinessHumansInfantLinguistics

Identifiers

PMID34418252
PMCPMC8530983

What OpenQuestion holds

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Registered trials

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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.