Book

Description

Continuous Glucose Monitors (CGMs) have transformed diabetes management by providing real-time information that supports better self-management and decision-making. Yet the benefits of these technologies depend not only on adoption, but also on sustained user engagement over time.   AI-Enabled Feedback Systems for Sustained Engagement with Continuous Glucose Monitors explores how motivational and interactive feedback mechanisms can be integrated into CGM systems to support continued use. Using a Design Science Research approach, the book proposes an integrated model combining health-taxonomy classification, gamified leaderboards, and AI-driven conversational support. Drawing on Technology Acceptance Model, Self-Determination Theory, and Social Comparison Theory, it examines how these features may strengthen motivation, deepen interaction, and encourage sustained engagement with digital health technologies.   The book offers a design-oriented perspective for researchers, health technology designers, and practitioners interested in AI-enabled health systems, user engagement, and continued technology use.