Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles
Paul Dulaud,
Ines Di Loreto and
Denis Mottet
Additional contact information
Paul Dulaud: Tech-CICO (Technologies for Cooperation, Interaction, and Knowledge, in Collectives), Université de Technologie de Troyes, 12 Rue Marie Curie, 10000 Troyes, France
Ines Di Loreto: Tech-CICO (Technologies for Cooperation, Interaction, and Knowledge, in Collectives), Université de Technologie de Troyes, 12 Rue Marie Curie, 10000 Troyes, France
Denis Mottet: Euromov Digital Health in Motion, Université de Montpellier, IMT Mines Alès, 700 av. Pic St Loup, 34090 Montpellier, France
IJERPH, 2020, vol. 17, issue 24, 1-22
Abstract:
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.
Keywords: quantified self; health; physical activity; behavior change; model; support system; persuasive design; user-centered design (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:24:p:9350-:d:461787
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