Evidence map›Paper›PMID 35862147›Full record

ArticleJMIR formative research2022

Exploring an Artificial Intelligence-Based, Gamified Phone App Prototype to Track and Improve Food Choices of Adolescent Girls in Vietnam: Acceptability, Usability, and Likeability Study.

Bianca C Braga, Phuong H Nguyen, Noora-Lisa Aberman, Frank Doyle, Gloria Folson, Nga Hoang, Phuong Huynh, Bastien Koch, Peter McCloskey, Lan Tran and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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  5. 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.

Bianca C BragaFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.ORCID https://orcid.org/0000-0003-4384-9277
Phuong H NguyenPoverty, Health, and Nutrition Division, International Food Policy Research Institute, Washington, DC, United States.ORCID https://orcid.org/0000-0003-3418-1674
Noora-Lisa AbermanThe Global Alliance for Improved Nutrition, Washington, DC, United States.ORCID https://orcid.org/0000-0002-9469-3260
Frank DoyleCollege of Agricultural Sciences, Pennsylvania State University, University Park, PA, United States.ORCID https://orcid.org/0000-0002-1466-7629
Gloria FolsonDepartment of Nutrition, College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana.ORCID https://orcid.org/0000-0002-1310-287X
Nga HoangNational Institute of Nutrition, Ha Noi, Vietnam.ORCID https://orcid.org/0000-0003-3184-839X
Phuong HuynhNational Institute of Nutrition, Ha Noi, Vietnam.ORCID https://orcid.org/0000-0002-9883-3283
Bastien KochPoverty, Health, and Nutrition Division, International Food Policy Research Institute, Washington, DC, United States.ORCID https://orcid.org/0000-0003-1392-7190
Peter McCloskeyCollege of Agricultural Sciences, Pennsylvania State University, University Park, PA, United States.ORCID https://orcid.org/0000-0003-0608-2644
Lan TranHubert Department of Global Health, Rolling School of Public Health, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-5129-5716
David HughesCollege of Agricultural Sciences, Pennsylvania State University, University Park, PA, United States.ORCID https://orcid.org/0000-0002-9954-8919
Aulo GelliPoverty, Health, and Nutrition Division, International Food Policy Research Institute, Washington, DC, United States.ORCID https://orcid.org/0000-0003-4977-2549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescents' consumption of healthy foods is suboptimal in low- and middle-income countries. Adolescents' fondness for games and social media and the increasing access to smartphones make apps suitable for collecting dietary data and influencing their food choices. Little is known about how adolescents use phones to track and shape their food choices.

objectiveThis study aimed to examine the acceptability, usability, and likability of a mobile phone app prototype developed to collect dietary data using artificial intelligence-based image recognition of foods, provide feedback, and motivate users to make healthier food choices. The findings were used to improve the design of the app.

methodsA total of 4 focus group discussions (n=32 girls, aged 15-17 years) were conducted in Vietnam. Qualitative data were collected and analyzed by grouping ideas into common themes based on content analysis and ground theory.

resultsAdolescents accepted most of the individual- and team-based dietary goals presented in the app prototype to help them make healthier food choices. They deemed the overall app wireframes, interface, and graphic design as acceptable, likable, and usable but suggested the following modifications: tailored feedback based on users' medical history, anthropometric characteristics, and fitness goals; new language on dietary goals; provision of information about each of the food group dietary goals; wider camera frame to fit the whole family food tray, as meals are shared in Vietnam; possibility of digitally separating food consumption on shared meals; and more appealing graphic design, including unique badge designs for each food group. Participants also liked the app's feedback on food choices in the form of badges, notifications, and statistics. A new version of the app was designed incorporating adolescent's feedback to improve its acceptability, usability, and likability.

conclusionsA phone app prototype designed to track food choice and help adolescent girls from low- and middle-income countries make healthier food choices was found to be acceptable, likable, and usable. Further research is needed to examine the feasibility of using this technology at scale.

Indexed as

adolescentdietary qualityfood choicegamificationlow- and middle-income countrymobile phonesmartphone app

Identifiers

PMID35862147
PMCPMC9353675

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.