Evidence map›Paper›PMID 37656342›Full record

ArticleBehavior research methods2024

The BabyView camera: Designing a new head-mounted camera to capture children's early social and visual environments.

Bria Long, Sarah Goodin, George Kachergis, Virginia A Marchman, Samaher F Radwan, Robert Z Sparks, Violet Xiang, Chengxu Zhuang, Oliver Hsu, Brett Newman and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Behavior research methods, 2024. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  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

12 authors.

Bria LongDepartment of Psychology, Stanford University, Stanford, CA, USA. bria@stanford.edu.
Sarah GoodinDaylight Design, LLC, San Francisco, CA, USA.
George KachergisDepartment of Psychology, Stanford University, Stanford, CA, USA.
Virginia A MarchmanDepartment of Psychology, Stanford University, Stanford, CA, USA.
Samaher F RadwanDepartment of Psychology, Stanford University, Stanford, CA, USA.
Robert Z SparksDepartment of Psychology, Stanford University, Stanford, CA, USA.
Violet XiangDepartment of Psychology, Stanford University, Stanford, CA, USA.
Chengxu ZhuangDepartment of Psychology, Stanford University, Stanford, CA, USA.
Oliver HsuDaylight Design, LLC, San Francisco, CA, USA.
Brett NewmanDaylight Design, LLC, San Francisco, CA, USA.
Daniel L K YaminsDepartment of Psychology, Stanford University, Stanford, CA, USA.
Michael C FrankDepartment of Psychology, Stanford University, Stanford, CA, USA.

Funding

Grounding models of category learning in the visual experiences of young childrenK99HD108386 · NICHD · STANFORD UNIVERSITY · PI LONG, BRIA · 2022 to 2023
$214k
NICHD NIH HHS K99 HD108386
6 · The paper itself

Abstract

Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see during their everyday experiences. However, variation between these devices has limited the field's ability to compare results across studies and across labs. Further, the video data captured by these cameras to date has been relatively low-resolution, limiting how well machine learning algorithms can operate over these rich video data. Here, we provide a well-tested and easily constructed design for a head-mounted camera assembly-the BabyView-developed in collaboration with Daylight Design, LLC., a professional product design firm. The BabyView collects high-resolution video, accelerometer, and gyroscope data from children approximately 6-30 months of age via a GoPro camera custom mounted on a soft child-safety helmet. The BabyView also captures a large, portrait-oriented vertical field-of-view that encompasses both children's interactions with objects and with their social partners. We detail our protocols for video data management and for handling sensitive data from home environments. We also provide customizable materials for onboarding families with the BabyView. We hope that these materials will encourage the wide adoption of the BabyView, allowing the field to collect high-resolution data that can link children's everyday environments with their learning outcomes.

Indexed as

Video RecordingChild DevelopmentChild, PreschoolEquipment DesignFemaleHeadHumansInfantMaleSocial EnvironmentComputer visionEarly language learningEgocentric visual experienceHead-mounted camerasNaturalistic recordings

Identifiers

PMID37656342
PMCPMC12208306

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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.