MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition

要旨

Self-tracking and personal informatics offer important potential in chronic condition management, but such potential is often undermined by difficulty in aligning self-tracking tools to an individual's goals. Informed by prior proposals of goal-directed tracking, we designed and developed MigraineTracker, a prototype app that emphasizes explicit expression of goals for migraine-related self-tracking. We then examined migraine patient experiences in a deployment study for an average of 12+ months, including a total of 50 interview sessions with 10 patients working with 3 different clinicians. Patients were able to express multiple types of goals, evolve their goals over time, align tracking to their goals, personalize their tracking, reflect in the context of their goals, and gain insights that enabled understanding, communication, and action. We discuss how these results highlight the importance of accounting for distinct and concurrent goals in personal informatics together with implications for the design of future goal-directed personal informatics tools.

受賞
Best Paper
著者
Yasaman S.. Sefidgar
University of Washington, Seattle, Washington, United States
Carla L.. Castillo
University of Washington, Seattle, California, United States
Shaan Chopra
University of Washington, Seattle, Washington, United States
Liwei Jiang
University of Washington, Seattle, Washington, United States
Tae Jones
University of Washington, Seattle, Washington, United States
Anant Mittal
University of Washington, Seattle, Washington, United States
Hyeyoung Ryu
University of Washington, Seattle, Washington, United States
Jessica Schroeder
University of Washington, Seattle, Washington, United States
Allison Cole
University of Washington, Seattle, Washington, United States
Natalia Murinova
University of Washington, Seattle, Washington, United States
Sean A.. Munson
University of Washington, Seattle, Washington, United States
James Fogarty
University of Washington, Seattle, Washington, United States
論文URL

https://doi.org/10.1145/3613904.3642075

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Chronic Conditions A

317
5 件の発表
2024-05-16 01:00:00
2024-05-16 02:20:00