As data-driven health technologies such as mobile health apps, wearable devices, and
smart medical devices advance and become more pervasive, the datafication of personal …

Most mobile health apps employ data visualization to help people view their health and
activity data, but these apps provide limited support for visual data exploration. Furthermore …

Children with ADHD can experience a wide variety of challenges related to self-regulation,
which can lead to poor educational, health, and wellness outcomes. Technological …

Challenges associated with ADHD affect children's daily routines and response to
environmental stimuli, and support from parents is helpful in managing and overcoming …

The practice of quantified-self sleep tracking has become increasingly common among
healthy individuals as well as patients with sleep problems. However, existing sleep-tracking …

As the global population ages and the prevalence of chronic conditions and acute infections
rise, it is becoming imperative to understand the many forms of caregiving labor and create …

Although 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 …

Just-in-Time Adaptive Interventions (JITAIs) are envisioned to harness rich data on users'
contexts. However, many JITAIs fall short in leveraging the value of the data while sculpting …

Personal informatics (PI) systems are designed for diverse users in the real world. Even
when these systems are usable, people encounter barriers while engaging with them in …

We explore the design and utility of situated manual self-tracking visualizations on dedicated
displays that integrate data tracking into existing practices and physical environments …