Interactive AI for Preventive Health: Personalization, Gamification, and Ethics
Year: 2025
Type: conference-paper
Abstract: Integrating Artificial Intelligence (AI) into preventive healthcare can fundamentally transform how individuals interact with their own health by shifting attention from reactive treatments toward proactive, personalized, and engaging health management. AI systems leverage continuous interaction with users - through wearable technologies, ambient sensing, and adaptive interfaces - to provide timely, tailored health insights and recommendations. Such interactive AI solutions hold the promise of empowering individuals to actively manage and improve their health behaviors, potentially reducing healthcare burdens. However, successful adoption depends significantly on how users perceive and interact with these systems. Techniques such as gamification and multisensory interaction have emerged as compelling approaches for enhancing user engagement. Yet, to ensure sustainable and equitable outcomes, it is critical to address ethical dimensions, including user privacy, transparency of AI decision-making processes, and potential biases in personalized recommendations. This workshop at EICS 2025 will explore interactive AI for preventive health, focusing on proactive monitoring, adaptive personalization, gamification, multisensory interaction, social AI, ethics, and evaluation methods. By bringing together researchers and practitioners from human-computer interaction, AI, healthcare, and behavioral science, we aim to identify challenges, design principles, and evaluation frameworks that enhance engagement and trust in AI-driven health systems. The workshop will feature interactive discussions and expert talks to foster cross-disciplinary collaboration.
Authors: Parvaneh Parvin, Jun Hu
Institution: Eindhoven University of Technology
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4411494199