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Shared Responsibility in Collaborative Tracking for Children with Type 1 Diabetes and their Parents

Yoonjeong Cha, Yasemin Gunal, Alice Wou, Joyce M. Lee, Mark Newman, Sun Young Park

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Abstract

Efficient Type 1 Diabetes (T1D) management necessitates comprehensive tracking of various factors that influence blood sugar levels. However, tracking health data for children with T1D poses unique challenges, as it requires the active involvement of both children and their parents. This study aims to uncover the benefits, challenges, and strategies associated with collaborative tracking for children (ages 6-12) with T1D and their parents. Over a three-week data collection probe study with 22 child-parent pairs, we found that collaborative tracking, characterized by the shared responsibility of tracking management and data provision, yielded positive outcomes for both children and their parents. Drawing from these findings, we delineate four distinct tracking approaches: child-independent, child-led, parent-led, and parent-independent. Our study offers insights for designing health technologies that empower both children and parents in learning and encourage the sharing of different perspectives through collaborative tracking.

Topics & Concepts

Tracking (education)Data collectionTracking systemPsychologyDevelopmental psychologyComputer scienceKnowledge managementMedical educationMedicineArtificial intelligencePedagogySociologyKalman filterSocial scienceMobile Health and mHealth ApplicationsICT in Developing CommunitiesChild Development and Digital Technology
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