Abstract The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot
developed by OpenAI, has garnered interest in the application of generative artificial …

Ubiquitous in-home health monitoring systems have become popular in recent years due to
the rise of digital health technologies and the growing demand for remote health monitoring …

Despite a rich history of investigating smartphone overuse intervention techniques, AI-based
just-in-time adaptive intervention (JITAI) methods for overuse reduction are lacking. We …

Problematic smartphone use negatively affects physical and mental health. Despite the wide
range of prior research, existing persuasive techniques are not flexible enough to provide …

Abstract Conventional Voice Assistants (VAs) rely on traditional language models to discern
user intent and respond to their queries, leading to interactions that often lack a broader …

Abstract Large Language Models (LLMs) are increasingly gaining traction in the healthcare
sector, yet expanding the threat of sensitive health information being easily exposed and …

Patient-provider communication has been crucial to cancer patients' survival after their
cancer treatments. However, the research community and patients themselves often …

While most existing works on LLM prompting techniques focus only on how to select a better
set of data samples inside one single prompt input (In-Context Learning or ICL), why can not …

The healthcare landscape is evolving, with patients seeking more reliable information about
their health conditions, treatment options, and potential risks. Despite the abundance of …

Our work addresses the challenges older adults face with commercial Voice Assistants
(VAs), notably in conversation breakdowns and error handling. Traditional methods of …