Background: Although mobile health apps (mHealth) has the potential to motivate people to adopt healthier behaviors, many of them fail to maintain these behavior over time. This long-term adherence can be improved by personalizing the proposed interventions. Based on the literature, we have created a conceptual framework guiding the selection of appropriate functionalities according to the user's profile. Objective: This cross-sectional study aims to check if the relationships linking functionalities and profiles proposed in our conceptual framework are confirmed by the preferences of users collected through questionnaires. Methods: An online questionnaire lead participants to discover several functionalities of a mobile app aiming to foster healthier behavior. The participants must select the 5 functionalities they consider as the most relevant to motivate a healthier behavior and evaluate them on a score ranging from 0 to 100. Results: Data collection was conducted between July 2021 and December 2021. Conclusions: This protocol will allow us to define the functionalities that are preferred by users according to their profile according to our conceptual framework.
Validation of a Conceptual framework to Personalize a Mobile Application for Behavioral Change in the Health Domain: protocol for a cross-sectional study (Preprint) / Laetitia Gosetto; Marta Pittavino; Gilles Falquet; Frederic Ehrler. - ELETTRONICO. - (2022), pp. 1-19. [10.2196/preprints.38603]
Validation of a Conceptual framework to Personalize a Mobile Application for Behavioral Change in the Health Domain: protocol for a cross-sectional study (Preprint)
Marta Pittavino;
2022
Abstract
Background: Although mobile health apps (mHealth) has the potential to motivate people to adopt healthier behaviors, many of them fail to maintain these behavior over time. This long-term adherence can be improved by personalizing the proposed interventions. Based on the literature, we have created a conceptual framework guiding the selection of appropriate functionalities according to the user's profile. Objective: This cross-sectional study aims to check if the relationships linking functionalities and profiles proposed in our conceptual framework are confirmed by the preferences of users collected through questionnaires. Methods: An online questionnaire lead participants to discover several functionalities of a mobile app aiming to foster healthier behavior. The participants must select the 5 functionalities they consider as the most relevant to motivate a healthier behavior and evaluate them on a score ranging from 0 to 100. Results: Data collection was conducted between July 2021 and December 2021. Conclusions: This protocol will allow us to define the functionalities that are preferred by users according to their profile according to our conceptual framework.File | Dimensione | Formato | |
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PrePrint_PersonalizationOfMobileApps_JMIRresearchProtocol.pdf
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