Evidence map›Paper›PMID 28685848›Full record

ArticleCognitive science2018

Learning Object Names at Different Hierarchical Levels Using Cross-Situational Statistics.

Chi-Hsin Chen, Yayun Zhang, Chen Yu

Abstract read
In one paragraph

Article in Cognitive science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Selective Attention in Early Word Learning: An Eye-Tracking Study on Viewing Naturalistic Egocentric Scenes.Infancy : the official journal of the International Society on Infant Studies
    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.

Chi-Hsin ChenDepartment of Otolaryngology-Head and Neck Surgery, The Ohio State University.
Yayun ZhangDepartment of Psychological and Brain Sciences, Indiana University.
Chen YuDepartment of Psychological and Brain Sciences, Indiana University.

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
NICHD NIH HHS R01 HD074601NICHD NIH HHS R01 HD093792
6 · The paper itself

Abstract

Objects in the world usually have names at different hierarchical levels (e.g., beagle, dog, animal). This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co-occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules significantly affected the learning of individual object labels, but not the learning of category labels. Learners' subsequent generalization of category labels indicated sensitivity to the structure of statistical input.

Indexed as

Concept FormationLanguageVerbal LearningVocabularyAdultCognitionFemaleHumansMaleSemanticsCategory learningHierarchical labelsStatistical word learningTemporal presentation schedulesWord generalization

Identifiers

PMID28685848
PMCPMC5756690

What OpenQuestion holds

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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.