Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles.
Int J Environ Res Public Health
; 17(24)2020 12 14.
Article
en En
| MEDLINE
| ID: mdl-33327487
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Ejercicio Físico
/
Conductas Relacionadas con la Salud
/
Acondicionamiento Físico Humano
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Int J Environ Res Public Health
Año:
2020
Tipo del documento:
Article
País de afiliación:
Francia