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
Unhealthy 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 artifi...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Frontiers Media
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/127235 |
| _version_ | 1855537932287344640 |
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| author | Braga, Bianca C. Arrieta, Alejandra Bannerman, Boateng Doyle, Frank Koch, Bastien Nguyen, Phuong Hong Gelli, Aulo |
| author_browse | Arrieta, Alejandra Bannerman, Boateng Braga, Bianca C. Doyle, Frank Gelli, Aulo Koch, Bastien Nguyen, Phuong Hong |
| author_facet | Braga, Bianca C. Arrieta, Alejandra Bannerman, Boateng Doyle, Frank Koch, Bastien Nguyen, Phuong Hong Gelli, Aulo |
| author_sort | Braga, Bianca C. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Unhealthy 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. |
| format | Journal Article |
| id | CGSpace127235 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1272352025-12-08T10:29:22Z 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 Braga, Bianca C. Arrieta, Alejandra Bannerman, Boateng Doyle, Frank Koch, Bastien Nguyen, Phuong Hong Gelli, Aulo measurement acceptability artificial intelligence mobile equipment dietary guidelines adolescents randomized controlled trials mobile data equipment Unhealthy 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. 2022-12-06 2023-01-16T15:21:23Z 2023-01-16T15:21:23Z Journal Article https://hdl.handle.net/10568/127235 en Open Access Frontiers Media Braga, 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 |
| spellingShingle | measurement acceptability artificial intelligence mobile equipment dietary guidelines adolescents randomized controlled trials mobile data equipment Braga, Bianca C. Arrieta, Alejandra Bannerman, Boateng Doyle, Frank Koch, Bastien Nguyen, Phuong Hong Gelli, Aulo 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 |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | measurement acceptability artificial intelligence mobile equipment dietary guidelines adolescents randomized controlled trials mobile data equipment |
| url | https://hdl.handle.net/10568/127235 |
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