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User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling

BACKGROUND: The availability and use of mobile apps in health and nutrition management are increasing. Ease of access and user friendliness make diet-tracking apps an important ally in their users’ efforts to lose and manage weight. To foster motivation for long-term use and to achieve goals, it is...

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Detalles Bibliográficos
Autores principales: Zečević, Mila, Mijatović, Dejan, Kos Koklič, Mateja, Žabkar, Vesna, Gidaković, Petar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103297/
https://www.ncbi.nlm.nih.gov/pubmed/33885375
http://dx.doi.org/10.2196/25160
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author Zečević, Mila
Mijatović, Dejan
Kos Koklič, Mateja
Žabkar, Vesna
Gidaković, Petar
author_facet Zečević, Mila
Mijatović, Dejan
Kos Koklič, Mateja
Žabkar, Vesna
Gidaković, Petar
author_sort Zečević, Mila
collection PubMed
description BACKGROUND: The availability and use of mobile apps in health and nutrition management are increasing. Ease of access and user friendliness make diet-tracking apps an important ally in their users’ efforts to lose and manage weight. To foster motivation for long-term use and to achieve goals, it is necessary to better understand users’ opinions and needs for dietary self-monitoring. OBJECTIVE: The aim of this study was to identify the key topics and issues that users highlight in their reviews of diet-tracking apps on Google Play Store. Identifying the topics that users frequently mention in their reviews of these apps, along with the user ratings for each of these apps, allowed us to identify areas where further improvement of the apps could facilitate app use, and support users’ weight loss and intake management efforts. METHODS: We collected 72,084 user reviews from Google Play Store for 15 diet-tracking apps that allow users to track and count calories. After a series of text processing operations, two text-mining techniques (topic modeling and topical n-grams) were applied to the corpus of user reviews of diet-tracking apps. RESULTS: Using the topic modeling technique, 11 separate topics were extracted from the pool of user reviews. Most of the users providing feedback were generally satisfied with the apps they use (average rating of 4.4 out of 5 for the 15 apps). Most topics referred to the positive evaluation of the apps and their functions. Negatively rated topics mostly referred to app charges and technical difficulties encountered. We identified the positive and negative topic trigrams (3-word combinations) among the most frequently mentioned topics. Usability and functionality (tracking options) of apps were rated positively on average. Negative ratings were associated with trigrams related to adding new foods, technical issues, and app charges. CONCLUSIONS: Motivating users to use an app over time could help them better achieve their nutrition goals. Although user reviews generally showed positive opinions and ratings of the apps, developers should pay more attention to users’ technical problems and inform users about expected payments, along with their refund and cancellation policies, to increase user loyalty.
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spelling pubmed-81032972021-05-12 User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling Zečević, Mila Mijatović, Dejan Kos Koklič, Mateja Žabkar, Vesna Gidaković, Petar J Med Internet Res Original Paper BACKGROUND: The availability and use of mobile apps in health and nutrition management are increasing. Ease of access and user friendliness make diet-tracking apps an important ally in their users’ efforts to lose and manage weight. To foster motivation for long-term use and to achieve goals, it is necessary to better understand users’ opinions and needs for dietary self-monitoring. OBJECTIVE: The aim of this study was to identify the key topics and issues that users highlight in their reviews of diet-tracking apps on Google Play Store. Identifying the topics that users frequently mention in their reviews of these apps, along with the user ratings for each of these apps, allowed us to identify areas where further improvement of the apps could facilitate app use, and support users’ weight loss and intake management efforts. METHODS: We collected 72,084 user reviews from Google Play Store for 15 diet-tracking apps that allow users to track and count calories. After a series of text processing operations, two text-mining techniques (topic modeling and topical n-grams) were applied to the corpus of user reviews of diet-tracking apps. RESULTS: Using the topic modeling technique, 11 separate topics were extracted from the pool of user reviews. Most of the users providing feedback were generally satisfied with the apps they use (average rating of 4.4 out of 5 for the 15 apps). Most topics referred to the positive evaluation of the apps and their functions. Negatively rated topics mostly referred to app charges and technical difficulties encountered. We identified the positive and negative topic trigrams (3-word combinations) among the most frequently mentioned topics. Usability and functionality (tracking options) of apps were rated positively on average. Negative ratings were associated with trigrams related to adding new foods, technical issues, and app charges. CONCLUSIONS: Motivating users to use an app over time could help them better achieve their nutrition goals. Although user reviews generally showed positive opinions and ratings of the apps, developers should pay more attention to users’ technical problems and inform users about expected payments, along with their refund and cancellation policies, to increase user loyalty. JMIR Publications 2021-04-22 /pmc/articles/PMC8103297/ /pubmed/33885375 http://dx.doi.org/10.2196/25160 Text en ©Mila Zečević, Dejan Mijatović, Mateja Kos Koklič, Vesna Žabkar, Petar Gidaković. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 22.04.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Zečević, Mila
Mijatović, Dejan
Kos Koklič, Mateja
Žabkar, Vesna
Gidaković, Petar
User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling
title User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling
title_full User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling
title_fullStr User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling
title_full_unstemmed User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling
title_short User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling
title_sort user perspectives of diet-tracking apps: reviews content analysis and topic modeling
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103297/
https://www.ncbi.nlm.nih.gov/pubmed/33885375
http://dx.doi.org/10.2196/25160
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