Doctoral thesis
Open access

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

Defense date2020-01-16

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.

  • Behavior change
  • Self-monitoring technologies
  • Digital Health
  • e-health
Citation (ISO format)
RANDRIAMBELONORO, Mirana Michelle. Self-monitoring technologies to promote healthy behavior in the long term. 2020. doi: 10.13097/archive-ouverte/unige:136731
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Technical informations

Creation05/28/2020 1:37:00 PM
First validation05/28/2020 1:37:00 PM
Update time03/14/2024 11:54:13 AM
Status update03/14/2024 11:54:13 AM
Last indexation03/14/2024 11:54:15 AM
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