Evidence map›Paper›PMID 42590809›Full record

ArticleDevelopmental science2026

Bridging Machine Learning and Event-Based Analyses to Assess Maternal Contingent Responses to Infant Nondistress and Distress Vocalizations From Home Audio Recordings.

Kexin Hu, Xulin Fan, Yannan Hu, Jialu Li, Bethany Lee, Mark Hasegawa-Johnson, Nancy L McElwain

Abstract read
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In one paragraph

Article in Developmental science, 2026. 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
0cells of the map it votes in
0citing 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

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

7 authors.

Kexin HuDepartment of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.ORCID https://orcid.org/0009-0004-0101-9747
Xulin FanDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Yannan HuDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA.
Jialu LiCollege of Information Science, University of Arizona, Tucson, Arizona, USA.
Bethany LeeBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Mark Hasegawa-JohnsonDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Nancy L McElwainDepartment of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.

Funding

Validation of a Virtual Still Face Procedure and Deep Learning Algorithms to Assess Infant Emotion Regulation and Infant-Caregiver Interactions in the WildR01DA059422 · NIDA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MARK ALLAN HASEGAWA-JOHNSON, Nancy L McElwain · 2023 to 2026
$2.3M
Using Remote Sensing Technology to Assess Parent-Infant Interactions as a Mechanism Linking COVID-related Stress and Infant Neurobehavioral FunctioningR34DA050256 · NIDA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MCELWAIN, NANCY L · 2019 to 2021
$745k
NIDA NIH HHS R01 DA059422NIDA NIH HHS R01DA059422NIDA NIH HHS R34 DA050256NIDA NIH HHS R34DA050256
6 · The paper itself

Abstract

Caregiver-infant vocal interactions are foundational for early development, yet most evidence is derived from brief laboratory or home-visit observations and assessing caregiver-infant vocal contingency in everyday settings requires scalable methods. To this end, we integrated machine learning (ML) with traditional event-based analyses to measure maternal contingent vocal responsiveness assessed from daylong audio recordings in the home. In Study 1 (N = 61 infants; 1-18 months, M

Indexed as

Infant BehaviorMachine LearningMaternal BehaviorMother-Child RelationsAlgorithmsFemaleHumansInfantMaleMothershome audio recordingsinfant vocalizationsmachine learning algorithmsmaternal contingent responses

Identifiers

PMID42590809
PMCPMC13469732

What OpenQuestion holds

Textmetadata
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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.