Conference ProceedingShared Responsibility in Collaborative Tracking for Children with Type 1 Diabetes and their ParentsCha, Yoon Jeong; Gunal, Yasemin; Wou, Alice; Lee, Joyce; Newman, Mark W; Park, Sun YoungMueller, Florian Floyd; Kyburz, Penny; Williamson, Julie R; Sas, Corina; Wilson, Max L; Dugas, Phoebe Toups; Shklovski, IrinaEfficient 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.ACM2024-05-1110515071Proceedings of the CHI Conference on Human Factors in Computing Systems13-19213589798400703300https://doi.org/10.1145/36139041942547Honolulu HI USANational Science Foundation