Preprint Review Version 2 Preserved in Portico This version is not peer-reviewed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)
Version 2 : Received: 20 November 2020 / Approved: 24 November 2020 / Online: 24 November 2020 (09:59:07 CET)
Version 3 : Received: 4 December 2020 / Approved: 7 December 2020 / Online: 7 December 2020 (10:53:52 CET)

A peer-reviewed article of this Preprint also exists.

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. 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.

Journal reference: Int. J. Environ. Res. Public Health 2020, 17, 9350
DOI: 10.3390/ijerph17249350

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). While implementation still poses many challenges, principles linking theory to implementation should facilitate the design of effective self-quantification systems. In this way, users who wish to improve their physical activity levels could be better supported.

Subject Areas

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

Comments (1)

Comment 1
Received: 24 November 2020
Commenter: Paul Dulaud
Commenter's Conflict of Interests: Author
Comment: Reviewed paper
Version 2
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