Moverè: Modelo Computacional Explorando Ciência de Contexto e Situação por meio de Tecnologias Persuasivas para Promover Adesão a Protocolos de Saúde de Pacientes em Healthcare

Abstract

The increasing adoption of computational devices of different profiles, connected within a ubiquitous perspective, has been transforming daily habits and driving re search in Persuasive Technologies (PT), which aim to shape behaviors through the use of technology. Despite the strong adherence to these devices, a challenge lies in leveraging this human–machine integration to effectively support adherence to health ier habits. Considering this, this thesis proposes Moverè, a ubiquitous computational model with an adaptive and personalized approach, conceived from the Ubiquitous Model for Persuasive Systems for Behavior Change (MUSPMC) and expanded with concepts such as the Internet of Things (IoT), which enables real-time data collection, and Context and Situation Science, which provides methods to interpret this informa tion. One of the methodological pillars of Moverè is the Self-Determination Theory (SDT), which offers a robust framework to understand and foster human motivation. Thus, the thesis aimed to design the Moverè model to measure user motivation in ad hering to health protocols. Its main contribution lies in the unprecedented integration of IoT, Context Science, and adaptive persuasion mechanisms capable of inducing sustainable health behavior changes. Accordingly, the research was guided by the fol lowing central question: “How can the computational model, by exploring Context and Situation Science, support adherence to Health Protocols (HP) through motivational re sources involving IoT?” To ground and validate the approach, four Systematic Literature Reviews were conducted, which revealed research gaps and guided the model’s con ception. The case study focused on Diabetes, conducted with synthetic motivational profiles generated by Artificial Intelligence, demonstrated that interventions based on sensor data influenced users’ motivational states, fostering adherence to HP. Moreover, the tool was perceived as useful and easy to use, according to the TAM evaluation.