Short answer

Incorporate the principles and evaluation metrics identified in the PAST SELF framework into the design and testing phases of health-tracking applications to maximize user engagement and promote sustained behavior change.

Field
User-Centred Design
Source
ACM Transactions on Computing for Healthcare (2023)
Method
Literature Review and Framework Development
Sample
129 papers
Evidence
Moderate effect

A structured framework, PAST SELF, derived from a comprehensive literature review, provides guidelines for designing and evaluating self-tracking technologies to improve user engagement and promote healthier behaviors. This user-centred design research insight is drawn from a 2023 study published in ACM Transactions on Computing for Healthcare. Using Literature review and framework development with 129 papers, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate the principles and evaluation metrics identified in the PAST SELF framework into the design and testing phases of health-tracking applications to maximize user engagement and promote sustained behavior change.

Study
User-Centred DesignRecentModerate effect

PAST SELF Framework Enhances User Engagement in Health-Tracking Technology

A structured framework, PAST SELF, derived from a comprehensive literature review, provides guidelines for designing and evaluating self-tracking technologies to improve user engagement and promote healthier behaviors.

ACM Transactions on Computing for Healthcare · 2023

01

Key Findings

  • 01There is a scarcity of evidence regarding the effectiveness of technological interventions for promoting physical activity and reducing sedentary behavior.
  • 02Standardized methods for evaluating the impact of these technologies are lacking.
  • 03Core self-tracking design principles and user engagement evaluation metrics can be identified and synthesized.
  • 04A structured framework (PAST SELF) can guide the design and evaluation of self-tracking technology for improved user engagement.
02

Application

Design takeaway

Incorporate the principles and evaluation metrics identified in the PAST SELF framework into the design and testing phases of health-tracking applications to maximize user engagement and promote sustained behavior change.

How to apply

When designing a new fitness app or wearable, use the PAST SELF framework to guide feature development and plan for user testing, ensuring that engagement and behavior change are central to the design process.

Project actions

  • 01When designing a health-related product, consider how you will keep users engaged over time.
  • 02Think about what metrics you will use to measure success beyond just usage statistics.
03

Method & Evidence

AimHow can a structured framework guide the design and evaluation of self-tracking technology to enhance user engagement and promote health behavior change, specifically in reducing sedentary lifestyles and increasing physical activity?
MethodLiterature Review and Framework Development
ProcedureA systematic literature review of 129 papers published between 2008 and 2022 was conducted to identify core self-tracking design principles and user engagement evaluation metrics. Based on these findings, the PAST SELF framework was developed to guide the design and evaluation of self-tracking technologies.
Sample129 papers
ContextmHealth, Self-Tracking Technology, Health Behavior Change

Variables

IVDesign principles and evaluation metrics for self-tracking technology (as identified in the PAST SELF framework).
DVUser engagement with self-tracking technology, health behavior change (e.g., increased physical activity, reduced sedentariness).
CVType of self-tracking technology, specific health goals, user demographics.
04

Strengths & Limitations

Strengths

  • +Comprehensive literature review covering a significant time span.
  • +Development of a practical framework (PAST SELF) with potential for broad application.

Limitations

The scope of the literature review might not cover all emerging trends in self-tracking technology. The practical application of the PAST SELF framework might vary depending on the specific health domain.

Reliability & validity

The reliability of the literature review depends on the systematic search and inclusion criteria. The validity of the PAST SELF framework's effectiveness would need to be established through empirical testing of designs based on it.

Think critically

To what extent can a framework like PAST SELF account for the diverse psychological and social factors that influence individual adherence to health-tracking technologies?

05

Design Principles

"Design health-tracking technologies with a clear focus on user engagement strategies and robust evaluation metrics to ensure effectiveness in promoting healthy behaviors."

This research addresses a critical gap in the effectiveness and evaluation of mHealth and self-tracking tools. By offering a systematic approach, it empowers designers and researchers to create more impactful interventions that genuinely support users in adopting and maintaining healthy lifestyles.

06

What This Means for Your Design

This study looked at lots of research on apps and devices that help people track their health. It found that many of these tools don't work as well as they could and aren't tested properly. So, they created a guide called the PAST SELF framework to help people design better health-tracking tools that keep users interested and help them actually change their habits.

How to use in your project

  • 1.Reference the PAST SELF framework as a theoretical basis for your design choices, particularly regarding user engagement and evaluation.
  • 2.Use the identified design principles and evaluation metrics to inform your own design process and testing.
07

Add to My Project

08

Quick Cite

Paragraph starter

The design of this project was informed by the PAST SELF framework, which provides guidelines for creating engaging and effective self-tracking technologies. This framework, derived from a comprehensive review of mHealth literature, emphasizes the importance of user engagement metrics and design principles to facilitate health behavior change. By applying these insights, the aim is to develop a solution that not only tracks data but actively motivates users towards healthier habits.

09

Source

ACM Transactions on Computing for Healthcare

14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF Framework

journal · 2023

View source

Questions About This Research

What does the research say about past self framework enhances user engagement in health-tracking technology?
Incorporate the principles and evaluation metrics identified in the PAST SELF framework into the design and testing phases of health-tracking applications to maximize user engagement and promote sustained behavior change. Evidence: ACM Transactions on Computing for Healthcare (2023).
Why does "PAST SELF Framework Enhances User Engagement in Health-Tracking Technology" matter for design?
This research addresses a critical gap in the effectiveness and evaluation of mHealth and self-tracking tools. By offering a systematic approach, it empowers designers and researchers to create more impactful interventions that genuinely support users in adopting and maintaining healthy lifestyles.
How can designers apply this research?
Incorporate the principles and evaluation metrics identified in the PAST SELF framework into the design and testing phases of health-tracking applications to maximize user engagement and promote sustained behavior change.
What were the main findings?
There is a scarcity of evidence regarding the effectiveness of technological interventions for promoting physical activity and reducing sedentary behavior.. Standardized methods for evaluating the impact of these technologies are lacking.. Core self-tracking design principles and user engagement evaluation metrics can be identified and synthesized.. A structured framework (PAST SELF) can guide the design and evaluation of self-tracking technology for improved user engagement.
What research method was used?
Literature Review and Framework Development with 129 papers.
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2023 journal from ACM Transactions on Computing for Healthcare.
What should I do differently in my next project?
When designing a new fitness app or wearable, use the PAST SELF framework to guide feature development and plan for user testing, ensuring that engagement and behavior change are central to the design process.
What are the limitations?
The review's findings are based on published literature, which may have its own biases. The effectiveness of the PAST SELF framework itself requires further empirical validation in diverse real-world settings.