If you're attending CHI 2025, please stop by our presentation on April 28th from 5:32 PM to 5:44 PM.

This work demonstrates the potential of combining AI and human-centered design to transform chronic disease management by enabling supportive, personalized tools that empower patients and enhance clinical decision-making.

Furthermore, two clinicians and a movement disorder specialist confirmed the usefulness of the collected data in supporting care for Parkinson's patients.

Our findings showed that Patrika effectively interpreted user input and maintained coherent, health-related personalized conversations with participants. Participants responded meaningfully, and Patrika successfully captured both direct symptom references and indirect personal anecdotes.

To evaluate Patrika, we conducted a two-week deployment with eight Parkinson's patients. Insights from this first study revealed several usability and performance issues, which informed improvements to the system. Following these improvements, we ran a second user study involving nine patients.

In this work, we present Patrika, an AI-enabled journaling system for Parkinson's patients. The system employs cooperative conversation principles, clinical interview simulations, and personalization to provide a more effective and user-friendly journaling experience.

The work was done by @mashrurrashik.bsky.social Shilpa Sweth, Nishtha Agrawal, Saiyyam Kochar, @narges-mahyar.bsky.social, Ali Sarvghad from UMass Amherst, Kara M Smith from UMass Chan Medical School, Fateme Rajabiyazdi from Carleton University, & @vsetlur.bsky.social from Tableau Research.