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A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study

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A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study

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dc.contributor.author Asensio-Cuesta, Sabina es_ES
dc.contributor.author Blanes-Selva, Vicent es_ES
dc.contributor.author Conejero, J. Alberto es_ES
dc.contributor.author Frigola, Ana es_ES
dc.contributor.author Portolés, Manuel G. es_ES
dc.contributor.author Merino-Torres, Juan Francisco es_ES
dc.contributor.author Rubio Almanza, Matilde es_ES
dc.contributor.author Syed-Abdul, Shabbir es_ES
dc.contributor.author Li, Yu-Chuan (Jack) es_ES
dc.contributor.author Vilar-Mateo, Ruth es_ES
dc.contributor.author Fernández-Luque, Luis es_ES
dc.contributor.author Garcia-Gomez, Juan M es_ES
dc.date.accessioned 2022-10-13T18:07:27Z
dc.date.available 2022-10-13T18:07:27Z
dc.date.issued 2021-04 es_ES
dc.identifier.uri http://hdl.handle.net/10251/187694
dc.description.abstract [EN] Background: Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. Objective: This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. Methods: We first studied the users' needs and gathered users' graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and obesity apps, and desired functionality. We also interviewed an expert panel. We then designed and developed a chatbot. Finally, we conducted a pilot study to test feasibility. Results: We collected 452 answers to the survey and interviewed 4 specialists. Based on this research, we developed a Telegram chatbot named Wakamola structured in six sections: personal, diet, physical activity, social network, user's status score, and project information. We defined a user's status score as a normalized sum (0-100) of scores about diet (frequency of eating 50 foods), physical activity, BMI, and social network. We performed a pilot to evaluate the chatbot implementation among 85 healthy volunteers. Of 74 participants who completed all sections, we found 8 underweight people (11%), 5 overweight people (7%), and no obesity cases. The mean BMI was 21.4 kg/m(2) (normal weight). The most consumed foods were olive oil, milk and derivatives, cereals, vegetables, and fruits. People walked 10 minutes on 5.8 days per week, slept 7.02 hours per day, and were sitting 30.57 hours per week. Moreover, we were able to create a social network with 74 users, 178 relations, and 12 communities. Conclusions: The Telegram chatbot Wakamola is a feasible tool to collect data from a population about sociodemographics, diet patterns, physical activity, BMI, and specific diseases. Besides, the chatbot allows the connection of users in a social network to study overweight and obesity causes from both individual and social perspectives. es_ES
dc.description.sponsorship Moreover, the authors acknowledge the funding support for this study provided by the CrowdHealth Project (Collective Wisdom Driving Public Health Policies, 727560). es_ES
dc.language Inglés es_ES
dc.publisher JMIR Publications Inc. es_ES
dc.relation.ispartof JMIR Medical Informatics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject MHealth es_ES
dc.subject Obesity es_ES
dc.subject Overweight es_ES
dc.subject Chatbot es_ES
dc.subject Assessment es_ES
dc.subject Public health es_ES
dc.subject Telegram es_ES
dc.subject User-centered design es_ES
dc.subject Social Network Analysis es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.2196/17503 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/727560/EU es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Asensio-Cuesta, S.; Blanes-Selva, V.; Conejero, JA.; Frigola, A.; Portolés, MG.; Merino-Torres, JF.; Rubio Almanza, M.... (2021). A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study. JMIR Medical Informatics. 9(4):1-14. https://doi.org/10.2196/17503 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.2196/17503 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 14 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.description.issue 4 es_ES
dc.identifier.eissn 2291-9694 es_ES
dc.identifier.pmid 33851934 es_ES
dc.identifier.pmcid PMC8087340 es_ES
dc.relation.pasarela S\433796 es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES
upv.costeAPC 2460 es_ES


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