A Conceptual Framework for Personal Science

Wolf, Gary; Groot, Martijn de

doi:10.3389/fcomp.2020.00021

“…. ] into designs that can be easily shared and adapted for personal use by many people will lower the barrier to participation" [1]. As a consequence, we rely on a review of the literature to understand the characteristics of the quantified self movement and to propose a complement to the existing abstract models} [5,6,8,30].…”

Section: Summary Of Our Model's Frameworkmentioning

confidence: 99%

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

Dulaud¹,

Loreto²,

Mottet

³

2020

Preprint

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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.

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“…Finally, designing such a self-quantification system must categorize the interventions it could perform to benefit the user. We suggest to rely on Wolf and De Groot activities for personal science [1]: an ideal system could indeed intervene to assist its user on questioning, designing, observing, reasoning, and discovering.…”

Section: Towards An Application Of the Model: System Design And Develmentioning

confidence: 99%

“…. ] into designs that can be easily shared and adapted for personal use by many people will lower the barrier to participation" [1].…”

Section: Summary Of Our Model's Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

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

Dulaud¹,

Loreto²,

Mottet³

2020

Preprint

0

View full text Add to dashboard Cite

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.

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“…The quantified self movement has raised in 2007 with enthusiastic users of self-tracking devices, and the wearable device market has grown exponentially since then [ 1 , 2 , 3 ]. Self-tracking tools are now widespread among people who wish to monitor all types of information about themselves (e.g., heart rate, steps, sleep) in order to potentially change their lifestyle for better health [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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

Dulaud

¹

,

Loreto

²

,

Mottet

³

2020

IJERPH

View full text Add to dashboard Cite

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.

show abstract

A Conceptual Framework for Personal Science

Cited by 36 publications

References 19 publications

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

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

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

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

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