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)
Dulaud, P.; Di Loreto, I.; Mottet, D. Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles. Int. J. Environ. Res. Public Health2020, 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.
Dulaud, P.; Di Loreto, I.; Mottet, D. Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles. Int. J. Environ. Res. Public Health2020, 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.
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
Subject
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Paul Dulaud
Commenter's Conflict of Interests: Author