Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test

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dc.creatorBraga, Bianca C.
dc.creatorArrieta, Alejandra
dc.creatorBannerman, Boateng
dc.creatorDoyle, Frank
dc.creatorKoch, Bastien
dc.creatorNguyen, Phuong Hong
dc.creatorGelli, Aulo
dc.date2022-12-06
dc.date2023-01-16T15:21:23Z
dc.date2023-01-16T15:21:23Z
dc.date.accessioned2026-06-27T15:37:42Z
dc.descriptionUnhealthy diets are a critical global concern while dietary measure methods are time consuming and expensive. There is limited evidence that phone-based interventions can improve nutrition data collection and dietary quality, especially for adolescents in developing countries. We developed an artificial-intelligence-based phone application called Food Recognition Assistance and Nudging Insights (FRANI) to address these problems. FRANI can recognize foods in images, track food consumption, display statistics and use gamified nudges to give positive feedback on healthy food choice. This study protocol describes the design of new pilot studies aimed at measuring the feasibility (acceptability, adherence, and usability) of FRANI and its effects on the quality of food choice of adolescents in Ghana and Vietnam. In each country, 36 adolescents (12–18 years) will be randomly allocated into two groups: The intervention group with the full version of FRANI and the control group with the functionality limited to image recognition and dietary assessment. Participants in both groups will have their food choices tracked for four weeks. The control groups will then switch to the full version of FRANI and both groups will be tracked for a further 2 weeks to assess acceptability, adherence, and usability. Analysis of outcomes will be by intent to treat and differences in outcomes between intervention and control group will use Poisson and odds ratio regression models, accounting for repeated measures at individual levels. If deemed feasible, acceptable and usable, FRANI will address gaps in the literature and advance the nutrition field by potentially improving the quality of food choices of adolescent girls in developing countries. This pilot study will also provide insights on the design of a large randomized controlled trial. The functioning and dissemination of FRANI can be an important step towards highly scalable nutrition data collection and healthier food choices for a population at risk of malnutrition.
dc.identifierhttps://hdl.handle.net/10568/127235
dc.identifier.urihttp://hdl.handle.net/123456789/109898
dc.languageen
dc.publisherFrontiers Media
dc.rightsOpen Access
dc.sourceBraga, Bianca C.; Arrieta, Alejandra; Bannerman, Boeteng; Doyle, Frank; Koch, Bastien; Nguyen, Phuong Hong; Gelli, Aulo; et al. 2022. Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test. Frontiers in Digital Health 4: 961604. https://doi.org/10.3389/fdgth.2022.961604
dc.subjectmeasurement
dc.subjectacceptability
dc.subjectartificial intelligence
dc.subjectmobile equipment
dc.subjectdietary guidelines
dc.subjectadolescents
dc.subjectrandomized controlled trials
dc.subjectmobile data equipment
dc.titleMeasuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
dc.typeJournal Article

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)