Evidence map›Paper›PMID 38329785›Full record

ArticleJMIR human factors2024

Evaluating Users' Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach.

Nancy L McElwain, Meghan C Fisher, Camille Nebeker, Jordan M Bodway, Bashima Islam, Mark Hasegawa-Johnson

Abstract read
In one paragraph

Article in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. ANALYSIS OF SELF-SUPERVISED SPEECH MODELS ON CHILDREN'S SPEECH AND INFANT VOCALIZATIONS.... IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops · 2024
    Article
  8. Article
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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

6 authors.

Nancy L McElwainDepartment of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0000-0001-9586-5020
Meghan C FisherDepartment of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0000-0003-1732-3538
Camille NebekerHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States.ORCID 0000-0001-6819-1796
Jordan M BodwayDepartment of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0009-0008-9800-9092
Bashima IslamDepartment of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, United States.ORCID 0000-0002-1917-054X
Mark Hasegawa-JohnsonBeckman Institute for Advanced Science & Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0000-0002-5631-2893

Funding

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
Integration of Neural Networks and Attachment in Human InfantsR21MH112578 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MCELWAIN, NANCY L, TELZER, EVA HAIMO · 2017 to 2018
$442k
NIDA NIH HHS R34 DA050256NIMH NIH HHS R21 MH112578
6 · The paper itself

Abstract

backgroundWearable devices permit the continuous, unobtrusive collection of data from children in their natural environments and can transform our understanding of child development. Although the use of wearable devices has begun to emerge in research involving children, few studies have considered families' experiences and perspectives of participating in research of this kind.

objectiveThrough a mixed methods approach, we assessed parents' and children's experiences of using a new wearable device in the home environment. The wearable device was designed specifically for use with infants and young children, and it integrates audio, electrocardiogram, and motion sensors.

methodsIn study 1, semistructured phone interviews were conducted with 42 parents of children aged 1 month to 9.5 years who completed 2 day-long recordings using the device, which the children wore on a specially designed shirt. In study 2, a total of 110 parents of children aged 2 months to 5.5 years responded to a questionnaire assessing their experience of completing 3 day-long device recordings in the home. Guided by the Digital Health Checklist, we assessed parental responses from both studies in relation to the following three key domains: (1) access and usability, (2) privacy, and (3) risks and benefits.

resultsIn study 1, most parents viewed the device as easy to use and safe and remote visits as convenient. Parents' views on privacy related to the audio recordings were more varied. The use of machine learning algorithms (vs human annotators) in the analysis of the audio data, the ability to stop recordings at any time, and the view that the recordings reflected ordinary family life were some reasons cited by parents who expressed minimal, if any, privacy concerns. Varied risks and benefits were also reported, including perceived child comfort or discomfort, the need to adjust routines to accommodate the study, the understanding gained from the study procedures, and the parent's and child's enjoyment of study participation. In study 2, parents' ratings on 5 close-ended items yielded a similar pattern of findings. Compared with a "neutral" rating, parents were significantly more likely to agree that (1) device instructions were helpful and clear (t

conclusionsOn the basis of parents' feedback, several concrete changes can be implemented to improve this new wearable platform and, ultimately, parents' and children's experiences of using child wearable devices in the home setting.

Indexed as

Wearable Electronic DevicesAlgorithmsChecklistChildChild, PreschoolDigital HealthEmotionsHumansInfantchildrenmobile phonemultimodal sensingprivacyusabilityuser experiencewearable devices

Identifiers

PMID38329785
PMCPMC10884896

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.