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Published on: July 27, 2018
A Lived Informatics Model of Personal Informatics
Daniel A Epstein1, An Ping2, James Fogarty1
1Computer Science & Engineering, DUB Group, University of Washington.
This study introduces lived informatics, a new model for personal informatics systems that goes beyond behavior change goals. It explores how individuals integrate self-tracking into daily life across various domains.
Area of Science:
- Human-Computer Interaction
- Personal Informatics
- Behavioral Science
Background:
- Existing personal informatics models primarily focus on behavior change goals.
- These models inadequately capture how individuals integrate self-tracking into diverse aspects of daily life.
- A new perspective is needed to understand the broader use of self-tracking tools.
Purpose of the Study:
- To propose a novel model of personal informatics based on the concept of 'lived informatics'.
- To characterize the integration of self-tracking into everyday life for individuals with varied goals.
- To identify challenges and future research directions in personal informatics.
Main Methods:
- Surveyed 105, 99, and 83 past/present trackers of physical activity, finances, and location.
- Conducted interviews with 22 self-trackers to explore lived informatics experiences.
- Developed a model based on empirical data from surveys and interviews.
Main Results:
- The proposed lived informatics model details processes of deciding to track, selecting tools, collecting data, integrating information, and reflecting on tracked data.
- The model encompasses tracking and acting, as well as the phenomena of lapsing and resuming tracking.
- Identified underexplored challenges within the lived informatics framework.
Conclusions:
- The lived informatics model offers a more comprehensive understanding of personal informatics use beyond behavior change.
- This framework highlights the dynamic nature of self-tracking, including initiation, continuation, and cessation.
- The findings provide valuable insights for designing more effective and user-centered personal informatics systems and guiding future research.
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