The practice of regular physical exercise is a protective factor against noncommunicable diseases and premature mortality. In spite\nof that, large part of the population does not meet physical activity guidelines and many individuals live a sedentary life. Recent\ntechnological progresses and the widespread adoption of mobile technology, such as smartphone and wearables, have opened the\nway to the development of digital behaviour change interventions targeting physical activity promotion. Such interventions would\ngreatly benefit from the inclusion of computational models framed on behaviour change theories and model-based reasoning.\nHowever, research on these topics is still at its infancy.The current paper presents a smartphone application and wearable device\nsystem called Muoviti! that targets physical activity promotion among adults not meeting the recommended physical activity\nguidelines. Specifically, we propose a computational model of behaviour change, grounded on the social cognitive theory of selfefficacy.\nThe purpose of the computational model is to dynamically integrate information referring to individualsâ?? self-efficacy\nbeliefs and physical activity behaviour in order to define exercising goals that adapt to individualsâ?? changes over time.The paper\npresents (i) the theoretical constructs that informed the development of the computational model, (ii) an overview of Muoviti!\ndescribing the system dynamics, the graphical user interface, the adopted measures and the intervention design, and (iii) the\ncomputational model based on Dynamic Decision Network.We conclude by presenting early results from an experimental study.
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