Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 26 September 2020 / Approved: 26 September 2020 / Online: 26 September 2020 (17:11:10 CEST)

How to cite: Dulaud, P.; Di Loreto, I.; Mottet, D. Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles. Preprints 2020, 2020090652 (doi: 10.20944/preprints202009.0652.v1). Dulaud, P.; Di Loreto, I.; Mottet, D. Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles. Preprints 2020, 2020090652 (doi: 10.20944/preprints202009.0652.v1).

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). Although the implementation still raises many challenges, principles linking theory and implementation should facilitate the design of effective self-quantification system aimed at physical activity increase, and more widely for behavior change.

Subject Areas

quantified self; health; physical activity; behavior change; model; support system; persuasive design; user centered design

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