FluidTrack: Investigating Child-Parent Collaborative Tracking for Pediatric Voiding Dysfunction Management

要旨

Daytime urinary frequency syndrome (DUFS) is a prevalent pediatric voiding dysfunction. Managing DUFS involves sufficient water intake and monitoring voiding and defecation behaviors, which can be challenging for preschool-aged patients to perform throughout the day for prolonged periods. To address this problem, we created FluidTrack, a semi-automated tracking system enabling child and parents to collaboratively track child's fluid intake, voiding, and defecation, while encouraging adequate water consumption. To examine preschoolers’ engagement in behavior tracking with their parents, we conducted a 4-week deployment study with 14 DUFS patients (4--6 years) and their parents as part of DUFS management. The majority of patient participants enthusiastically engaged in semi-automated data capture, driven by their initial interest in FluidTrack. Sustaining the children’s enthusiasm and behind-the-scenes parental assistance were critical for continuing semi-automated tracking. Our findings demonstrated the feasibility of children’s semi-automated self-tracking in collaboration with their parents, and identified design suggestions for future work.

受賞
Best Paper
著者
Junhyung Moon
Yonsei University, Seoul, Korea, Republic of
Sukhyun Lee
Yonsei University, Seoul, Korea, Republic of
Youngchan Kim
Yonsei University, Seoul, Korea, Republic of
Juhee Go
Yonsei University, Seoul, Korea, Republic of
Han Mo Ku
Yonsei University, Seoul, Korea, Republic of
Yeohyun Jung
Yonsei University, Seoul, Korea, Republic of
Seonyeong Hwang
Yonsei University, Seoul, Korea, Republic of
Bongshin Lee
Yonsei University, Seoul, Korea, Republic of
Yong Seung Lee
Department of Urology and Urological Science Institute, Yonsei University, Seoul, Korea, Republic of
Hyun-Kyung Lee
Yonsei University, Seoul, Korea, Republic of
Kyoungwoo Lee
Yonsei University, Seoul, Korea, Republic of
Eun Kyoung Choe
University of Maryland, College Park, Maryland, United States
DOI

10.1145/3706598.3713878

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713878

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Communication and Support

G402
7 件の発表
2025-05-01 18:00:00
2025-05-01 19:30:00
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