EVENTS
From Sensing to Conversation: Personalizing Agentic Chatbots with Wearable and Mobile Data
This webinar examines how multimodal data from smartphones and wearable devices can be transformed into dynamic user models for conversational health agents. It explores the integration of physiological, behavioral, and contextual signals to support adaptive, personalized, and context-aware health conversations, while considering the practical challenges of translating continuous sensing into useful interactions.
Amir M. Rahmani, Ph.D., is Co-Director of the UCI Institute for Future Health and a professor in the Sue & Bill Gross School of Nursing and the Department of Computer Science at the University of California, Irvine. His interdisciplinary research spans artificial intelligence for health, wearable and mobile sensing, health informatics, machine learning, and physiological signal analysis.
External Webinar | mDOT Center Webinar Series
Prof. Amir M. Rahmani presents From Sensing to Conversation: Personalizing Agentic Chatbots with Wearable and Mobile Data as part of the mDOT Center Webinar Series.
About the Webinar
Smartphones and wearable devices generate continuous, multimodal information about physiology, behavior, activity, and context. This webinar explores how these data streams can be transformed into dynamic user models that help conversational health agents deliver more relevant, timely, and personalized interactions.
Prof. Rahmani discusses the pathway from sensing to conversation, including the integration of mobile and wearable data, the development of adaptive health profiles, and the opportunities and challenges involved in creating context-aware agentic health systems.
Event Details
- Date: Thursday, May 7, 2026
- Time: 1:00 PM Central Time / 11:00 AM Pacific Time
- Location: Online
- Series: mDOT Center Webinar Series
- Recording: Watch the webinar on YouTube
This is an external mDOT Center webinar featuring Prof. Rahmani as the invited speaker.
- Presents by: Prof. Amir M. Rahmani
- Location: Online
- Date: Thursday, May 7, 2026
- Time: 1:00 PM Central Time / 11:00 AM Pacific Time