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Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles

1
Tech-CICO (Technologies for Cooperation, Interaction, and Knowledge, in Collectives), Université de Technologie de Troyes, 12 Rue Marie Curie, 10000 Troyes, France
2
Euromov Digital Health in Motion, Université de Montpellier, IMT Mines Alès, 700 av. Pic St Loup, 34090 Montpellier, France
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(24), 9350; https://doi.org/10.3390/ijerph17249350
Received: 26 September 2020 / Revised: 4 December 2020 / Accepted: 8 December 2020 / Published: 14 December 2020
(This article belongs to the Special Issue Smart Healthcare Services in Internet of Healthcare Things)
Since the emergence of the quantified self movement, users aim at health behavior change, but only those who are sufficiently motivated and competent with the tools will succeed. Our literature review shows that theoretical models for quantified self exist but they are too abstract to guide the design of effective user support systems. Here, we propose principles linking theory and implementation to arrive at a hierarchical model for an adaptable and personalized self-quantification system for physical activity support. We show that such a modeling approach should include a multi-factors user model (activity, context, personality, motivation), a hierarchy of multiple time scales (week, day, hour), and a multi-criteria decision analysis (user activity preference, user measured activity, external parameters). This theoretical groundwork, which should facilitate the design of more effective solutions, has now to be validated by further empirical research. View Full-Text
Keywords: quantified self; health; physical activity; behavior change; model; support system; persuasive design; user-centered design quantified self; health; physical activity; behavior change; model; support system; persuasive design; user-centered design
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MDPI and ACS Style

Dulaud, P.; Di Loreto, I.; Mottet, D. Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles. Int. J. Environ. Res. Public Health 2020, 17, 9350. https://doi.org/10.3390/ijerph17249350

AMA Style

Dulaud P, Di Loreto I, Mottet D. Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles. International Journal of Environmental Research and Public Health. 2020; 17(24):9350. https://doi.org/10.3390/ijerph17249350

Chicago/Turabian Style

Dulaud, Paul; Di Loreto, Ines; Mottet, Denis. 2020. "Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles" Int. J. Environ. Res. Public Health 17, no. 24: 9350. https://doi.org/10.3390/ijerph17249350

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