VLDB 2026 Research / reviewers in the wild / expert
Yoonjeong Cha
dblp:227/8111
· DBLP profile ↗
5ranked-venue papers
5as first author
4since 2021 · last 2025
0000-0002-5487-1990ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 5 · 5 first-author · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Collaborative Health-Tracking Technologies for Children and Parents: A Review of Current Studies and Directions for Future ResearchabstractPeer Reviewed Yoonjeong Cha, Jiongyu Chen, Yasemin Gunal, Qiying Zhu, Mark W. Newman |
CHI | 1 |
| 2024 | Shared Responsibility in Collaborative Tracking for Children with Type 1 Diabetes and their ParentsabstractEfficient 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. Yoonjeong Cha, Yasemin Gunal, Alice Wou, Joyce M. Lee, Mark W. Newman |
CHI | 1 |
| 2023 | It's Like an Educated Guessing Game: Parents' Strategies for Collaborative Diabetes Management with Their ChildrenabstractChildren with Type 1 Diabetes (T1D) face many challenges with keeping their blood glucose levels within a healthy range because they cannot manage their illness by themselves. To prevent children’s blood glucose from becoming too high or too low, parents apply different strategies to avoid risky situations. To understand how parents of children with T1D manage these risks, we conducted semi-structured interviews with children with T1D (ages 6-12) and their parents (N=41). We identified four types of strategies used by parents (i.e., educated guessing game, contingency planning, experimentation, and reaching out for help) that can be categorized according to two dimensions: 1) the cause of risk (known or unknown) and 2) the occurrence of risk (predictable or unpredictable). Based on our findings, we provide design implications for collaborative health technologies that support parents in better planning for contingencies and identifying unknown causes of risks together with their children. Yoonjeong Cha, Alice Wou, Arpita Saxena, Joyce M. Lee, Mark W. Newman |
CHI | 1 |
| 2022 | Transitioning Toward Independence: Enhancing Collaborative Self-Management of Children with Type 1 DiabetesabstractAlthough child participation is required for successful Type 1 Diabetes (T1D) management, it is challenging because the child’s young age and immaturity make it difficult to perform self-care. Thus, parental caregivers are expected to be heavily involved in their child’s everyday illness management. Our study aims to investigate how children and parents collaborate to manage T1D and examine how the children become more independent in their self-management through the support of their parents. Through semi-structured interviews with children with T1D and their parents (N=41), our study showed that children’s knowledge of illness management and motivation for self-care were crucial for their transition towards independence. Based on these two factors, we identified four types of children’s collaboration (i.e., dependent, resistant, eager, and independent) and parents’ strategies for supporting their children’s independence. We suggest design implications for technologies to support collaborative care by improving children’s transition to independent illness management. Yoonjeong Cha, Arpita Saxena, Alice Wou, Joyce M. Lee, Mark W. Newman |
CHI | 1 |
| 2018 | Complex and Ambiguous: Understanding Sticker Misinterpretations in Instant MessagingabstractStickers, though similar in appearance to emoji, have distinct characteristics because they often contain animation, diverse gestures, and multiple characters and objects. Stickers can convey richer meaning than emoji, but their complexity and placement constraint may result in miscommunication. In this paper, we aim to understand how people perceive emotion in stickers, as well as how miscommunication related to sticker occurs in actual chat contexts. Toward this goal, we conducted an online survey (n = 87) and in-depth interviews (n = 28) in South Korea. We found emotional and contextual aspects of sticker misinterpretation. In particular, emotion misinterpretation mostly happened due to stickers' ambiguous (multiple) facial/bodily expressions and different perception of dynamism in gestures. In real chat settings, there were also contextual misinterpretations where senders and receivers differently interpret stickers' visual representation/reference, or/and corresponding textual messages. Based on these findings, we provide several practical design implications such as context awareness support in sticker interaction. Yoonjeong Cha, Sangkeun Park, Mun Yong Yi, Uichin Lee |
Proc. ACM Hum. Comput. Interact. | 1 |