{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T15:44:52Z","timestamp":1768319092370,"version":"3.49.0"},"reference-count":34,"publisher":"Wiley","license":[{"start":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T00:00:00Z","timestamp":1551657600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Human-Computer Interaction"],"published-print":{"date-parts":[[2019,3,4]]},"abstract":"<jats:p>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<jats:italic> Muoviti!<\/jats:italic> 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\u2019 self-efficacy beliefs and physical activity behaviour in order to define exercising goals that adapt to individuals\u2019 changes over time. The paper presents (i) the theoretical constructs that informed the development of the computational model, (ii) an overview of<jats:italic> Muoviti!<\/jats:italic> 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.<\/jats:p>","DOI":"10.1155\/2019\/3068748","type":"journal-article","created":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T18:35:00Z","timestamp":1551724500000},"page":"1-11","source":"Crossref","is-referenced-by-count":14,"title":["Improving Physical Activity mHealth Interventions: Development of a Computational Model of Self-Efficacy Theory to Define Adaptive Goals for Exercise Promotion"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2866-3290","authenticated-orcid":true,"given":"Dario","family":"Baretta","sequence":"first","affiliation":[{"name":"Department of Psychology, University of Milan-Bicocca 20126, Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Sartori","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Systems and Communication, University of Milan-Bicocca, 20126 Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea","family":"Greco","sequence":"additional","affiliation":[{"name":"Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"D\u2019Addario","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Milan-Bicocca 20126, Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riccardo","family":"Melen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Systems and Communication, University of Milan-Bicocca, 20126 Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrizia","family":"Steca","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Milan-Bicocca 20126, Milan, 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