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Self-monitoring technologies to promote healthy behavior in the long term

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Defense Thèse de doctorat : Univ. Genève, 2020 - GSEM 76 - 2020/01/16
Abstract Nowadays, the world is facing two major issues: Non-Communicable Diseases and ageing population. Although committing in healthy behaviors has been shown to be highly beneficial for individual’s health and well-being, the challenge remains in motivating the adoption and the long-term engagement in such behaviors. This thesis focuses on the efficiency of self-monitoring technologies to promote positive change in the long-term on modifiable behaviors, mainly regarding physical activity and nutrition. It sheds light on the opportunities and the limitations of self-monitoring, gamified, social and conversational applications and intends to provide guidelines for designing these technologies for specific population, namely: chronically ill and elderly patients. Overall, the work conducted within this dissertation offers new perspectives on the design of self-monitoring technologies for elderly and chronically-ill patients. It makes several research contributions that are of interest to the greater Human Computer Interaction, Digital Health, Conversational AI, Behavioral sciences, Nutrition and Physical Rehabilitation communities.
Keywords Behavior changeSelf-monitoring technologiesDigital Healthe-health
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URN: urn:nbn:ch:unige-1367313
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Thesis (2.9 MB) - public document Free access
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Research group Groupe Geissbuhler Antoine (informatique médicale) (222)
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RANDRIAMBELONORO, Mirana Michelle. Self-monitoring technologies to promote healthy behavior in the long term. Université de Genève. Thèse, 2020. doi: 10.13097/archive-ouverte/unige:136731 https://archive-ouverte.unige.ch/unige:136731

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Deposited on : 2020-06-10

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