دورية أكاديمية
Improving Physical Activity mHealth Interventions: Development of a Computational Model of Self-Efficacy Theory to Define Adaptive Goals for Exercise Promotion
| العنوان: | Improving Physical Activity mHealth Interventions: Development of a Computational Model of Self-Efficacy Theory to Define Adaptive Goals for Exercise Promotion |
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| المؤلفون: | Dario Baretta, Fabio Sartori, Andrea Greco, Marco D’Addario, Riccardo Melen, Patrizia Steca |
| المصدر: | Advances in Human-Computer Interaction, Vol 2019 (2019) |
| بيانات النشر: | Wiley, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | The practice of regular physical exercise is a protective factor against noncommunicable diseases and premature mortality. In spite of that, large part of the population does not meet physical activity guidelines and many individuals live a sedentary life. Recent technological progresses and the widespread adoption of mobile technology, such as smartphone and wearables, have opened the way to the development of digital behaviour change interventions targeting physical activity promotion. Such interventions would greatly benefit from the inclusion of computational models framed on behaviour change theories and model-based reasoning. However, research on these topics is still at its infancy. The current paper presents a smartphone application and wearable device system called Muoviti! that targets physical activity promotion among adults not meeting the recommended physical activity guidelines. Specifically, we propose a computational model of behaviour change, grounded on the social cognitive theory of self-efficacy. The purpose of the computational model is to dynamically integrate information referring to individuals’ self-efficacy beliefs and physical activity behaviour in order to define exercising goals that adapt to individuals’ changes over time. The paper presents (i) the theoretical constructs that informed the development of the computational model, (ii) an overview of Muoviti! describing the system dynamics, the graphical user interface, the adopted measures and the intervention design, and (iii) the computational model based on Dynamic Decision Network. We conclude by presenting early results from an experimental study. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-5893 1687-5907 |
| Relation: | https://doaj.org/toc/1687-5893; https://doaj.org/toc/1687-5907 |
| DOI: | 10.1155/2019/3068748 |
| URL الوصول: | https://doaj.org/article/427921b60d154802b931d349985ccd37 |
| رقم الأكسشن: | edsdoj.427921b60d154802b931d349985ccd37 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 16875893 16875907 |
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| DOI: | 10.1155/2019/3068748 |