HealthGuru introduces a novel LLM-powered chatbot that transforms sleep tracking data into personalized, adaptive recommendations by combining data analysis with behavioral change theory.

• Bridges the gap between sleep tracking data collection and actionable improvements
• Provides context-aware suggestions adaptable to real-life constraints
• Delivers conversational behavior change support to improve sleep health
• Demonstrates how LLMs can be effectively guided by both data and established health theories

This research represents a significant advancement in digital health by creating more effective, personalized health interventions that consider individual contexts rather than generic advice based solely on data patterns.

Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health