Parents' Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey.
artificial intelligence
child development
digital technology
mobile phone
parenting
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
15 03 2021
15 03 2021
Historique:
received:
18
04
2020
accepted:
20
01
2021
revised:
24
11
2020
entrez:
15
3
2021
pubmed:
16
3
2021
medline:
30
9
2021
Statut:
epublish
Résumé
Parents' use of mobile technologies may interfere with important parent-child interactions that are critical to healthy child development. This phenomenon is known as technoference. However, little is known about the population-wide awareness of this problem and the acceptability of artificial intelligence (AI)-based tools that help with mitigating technoference. This study aims to assess parents' awareness of technoference and its harms, the acceptability of AI tools for mitigating technoference, and how each of these constructs vary across sociodemographic factors. We administered a web-based survey to a nationally representative sample of parents of children aged ≤5 years. Parents' perceptions that their own technology use had risen to potentially problematic levels in general, their perceptions of their own parenting technoference, and the degree to which they found AI tools for mitigating technoference acceptable were assessed by using adaptations of previously validated scales. Multiple regression and mediation analyses were used to assess the relationships between these scales and each of the 6 sociodemographic factors (parent age, sex, language, ethnicity, educational attainment, and family income). Of the 305 respondents, 280 provided data that met the established standards for analysis. Parents reported that a mean of 3.03 devices (SD 2.07) interfered daily in their interactions with their child. Almost two-thirds of the parents agreed with the statements "I am worried about the impact of my mobile electronic device use on my child" and "Using a computer-assisted coach while caring for my child would help me notice more quickly when my device use is interfering with my caregiving" (187/281, 66.5% and 184/282, 65.1%, respectively). Younger age, Hispanic ethnicity, and Spanish language spoken at home were associated with increased technoference awareness. Compared to parents' perceived technoference and sociodemographic factors, parents' perceptions of their own problematic technology use was the factor that was most associated with the acceptance of AI tools. Parents reported high levels of mobile device use and technoference around their youngest children. Most parents across a wide sociodemographic spectrum, especially younger parents, found the use of AI tools to help mitigate technoference during parent-child daily interaction acceptable and useful.
Sections du résumé
BACKGROUND
Parents' use of mobile technologies may interfere with important parent-child interactions that are critical to healthy child development. This phenomenon is known as technoference. However, little is known about the population-wide awareness of this problem and the acceptability of artificial intelligence (AI)-based tools that help with mitigating technoference.
OBJECTIVE
This study aims to assess parents' awareness of technoference and its harms, the acceptability of AI tools for mitigating technoference, and how each of these constructs vary across sociodemographic factors.
METHODS
We administered a web-based survey to a nationally representative sample of parents of children aged ≤5 years. Parents' perceptions that their own technology use had risen to potentially problematic levels in general, their perceptions of their own parenting technoference, and the degree to which they found AI tools for mitigating technoference acceptable were assessed by using adaptations of previously validated scales. Multiple regression and mediation analyses were used to assess the relationships between these scales and each of the 6 sociodemographic factors (parent age, sex, language, ethnicity, educational attainment, and family income).
RESULTS
Of the 305 respondents, 280 provided data that met the established standards for analysis. Parents reported that a mean of 3.03 devices (SD 2.07) interfered daily in their interactions with their child. Almost two-thirds of the parents agreed with the statements "I am worried about the impact of my mobile electronic device use on my child" and "Using a computer-assisted coach while caring for my child would help me notice more quickly when my device use is interfering with my caregiving" (187/281, 66.5% and 184/282, 65.1%, respectively). Younger age, Hispanic ethnicity, and Spanish language spoken at home were associated with increased technoference awareness. Compared to parents' perceived technoference and sociodemographic factors, parents' perceptions of their own problematic technology use was the factor that was most associated with the acceptance of AI tools.
CONCLUSIONS
Parents reported high levels of mobile device use and technoference around their youngest children. Most parents across a wide sociodemographic spectrum, especially younger parents, found the use of AI tools to help mitigate technoference during parent-child daily interaction acceptable and useful.
Identifiants
pubmed: 33720026
pii: v23i3e19461
doi: 10.2196/19461
pmc: PMC8074848
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e19461Informations de copyright
©Jill Glassman, Kathryn Humphreys, Serena Yeung, Michelle Smith, Adam Jauregui, Arnold Milstein, Lee Sanders. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.03.2021.
Références
J Med Internet Res. 2019 May 21;21(5):e13117
pubmed: 31115340
Health Care Manag Sci. 2020 Jun;23(2):203-214
pubmed: 30684067
Pediatrics. 2016 Feb;137(2):e20153239
pubmed: 26817934
Digit Health. 2019 Aug 21;5:2055207619871808
pubmed: 31467682
J Dev Behav Pediatr. 2018 May;39(4):310-317
pubmed: 29485515
NPJ Digit Med. 2019 Mar 1;2:11
pubmed: 31304360
BMC Res Notes. 2010 Oct 22;3:267
pubmed: 20969789
Behav Res Ther. 2017 Apr;91:78-90
pubmed: 28167330
Child Dev. 2018 Jan;89(1):100-109
pubmed: 28493400
Child Psychiatry Hum Dev. 2019 Jun;50(3):347-361
pubmed: 30430390
N Engl J Med. 2018 Apr 5;378(14):1271-1273
pubmed: 29617592
Acad Pediatr. 2016 Apr;16(3 Suppl):S112-20
pubmed: 27044688
Early Child Res Q. 2015 4th Quarter;33:21-32
pubmed: 27773964
Int J Med Inform. 2017 Dec;108:97-109
pubmed: 29132639
Front Psychol. 2019 Dec 10;10:2791
pubmed: 31920836
Behav Res Methods. 2019 Oct;51(5):2022-2038
pubmed: 31512174
Psychol Sci. 2013 Nov 1;24(11):2143-52
pubmed: 24022649
Proc Natl Acad Sci U S A. 2007 Aug 14;104(33):13250-5
pubmed: 17686985
Front Psychol. 2019 Feb 18;10:115
pubmed: 30834900
J Eur Econ Assoc. 2009;7(2):320-364
pubmed: 20209045
Arch Pediatr Adolesc Med. 2007 Aug;161(8):807-9
pubmed: 17679664
J Dev Behav Pediatr. 2016 Nov/Dec;37(9):694-701
pubmed: 27802256
Psychol Methods. 2013 Mar;18(1):53-70
pubmed: 23477606
Pediatrics. 2018 May;141(5):
pubmed: 29632254
J Biomed Inform. 2010 Feb;43(1):159-72
pubmed: 19615467