Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

The research community on the study and design of systems for personal informatics has
grown over the past decade. To take stock of what the topics the field has studied and …

Large language models (LLMs) provide a new way to build chatbots by accepting natural
language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on …

US health care systems are tasked with alleviating the burden of mental health, but are
frequently underprepared and lack workforce and resource capacity to deliver services to all …

We present a system which can recognize the contents of your meal from a single image,
and then predict its nutritional contents, such as calories. The simplest version assumes that …

Current models of how people use personal informatics systems are largely based in
behavior change goals. They do not adequately characterize the integration of self-tracking …

Personal health-tracking technologies have become a part of mainstream culture. Their
growing popularity and widespread adoption present an opportunity for the design of new …

Recognizing when eating activities take place is one of the key challenges in automated
food intake monitoring. Despite progress over the years, most proposed approaches have …

Past studies on how blood glucose levels vary across the menstrual cycle have largely
shown inconsistent results based on limited blood draws. In this study, 49 individuals wore a …

AI technologies continue to advance from digital assistants to assisted decision-making.
However, designing AI remains a challenge given its unknown outcomes and uses. One …