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 technologies facilitate personalized, predictive, and participatory healthcare environments, especially in preventive contexts. Recent advancements allow predictive health analytics to tailor interventions based on real-time individual health data, genetic information, and behavioral patterns. For instance, personalized virtual health assistants and predictive analytics enable healthcare providers to deliver customized, proactive care, significantly improving patient outcomes and engagement [4]. However, integrating and effectively utilizing diverse data streams from wearables, electronic health records, and patient-generated data remains challenging, highlighting a critical gap for further research.

Gamification leverages game design elements such as rewards, goals, and feedback mechanisms to enhance user engagement in preventive health applications. Recent studies illustrate that gamified health interventions significantly increase motivation, adherence to healthy behaviors, and patient participation, particularly when integrated with AI-driven personalized feedback [3, 6]. Companies such as dacadoo utilize AI and gamification to promote healthy behaviors by providing personalized feedback and dynamic health scoring systems. Additionally, studies in occupational health settings have demonstrated the effectiveness of gamification combined with personalized e-coaching to significantly enhance user engagement and healthy behavior changes [7]. Nevertheless, sustaining long-term engagement across diverse demographics and clarifying AI’s distinct contributions to gamification effectiveness warrant further exploration.

Emerging research highlights the effectiveness of serious games, particularly among younger populations, for education on preventive health through interactive, AI-enhanced virtual agents and engaging narratives [2]. This integration demonstrates AI’s potential to provide scalable preventive education while relieving pressure on traditional healthcare systems. Future research should explore scalable methods and innovative interaction techniques to enhance the inclusivity and impact of these interventions across various populations.

AI-driven preventive health also introduces innovative multimodal interaction techniques involving haptics, voice interfaces, and visual cues, significantly enhancing the user experience and accessibility of digital health interventions. Although promising, widespread adoption remains limited, pointing to a need for developing standardized and accessible multimodal interaction frameworks.

Moreover, ethical considerations form a crucial component of AI’s role in preventive health. Key concerns include data privacy, algorithmic bias, and informed consent, particularly in continuous data collection and automated decision-making contexts. Ethical considerations must address how personal data is managed and ensure transparency in AI-driven recommendations to build public trust and prevent exacerbating existing health disparities, aligning with established guidelines and recommendations provided by public health authorities  [1, 5]. Current regulatory frameworks often lag behind technological advancements, underscoring the need for updated, robust ethical guidelines tailored to the unique challenges posed by AI applications in preventive healthcare.

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.