As Artificial Intelligence (AI) continues to transform health and care, the integration of Intelligent User Interfaces (IUI) in health and wellness applications presents both significant opportunities and challenges. This workshop aims to bring together researchers and practitioners from HCI, AI, healthcare, and related fields to explore how IUIs can impact long-term user engagement, personalization, and trust in health-oriented interactive systems. We focus on interdisciplinary approaches to design systems that are technically advanced but also responsive to user needs, demands of context of use, values and ethical requirements, and privacy. Through presentations, discussions, and collaborative sessions, participants will identify key challenges, share emerging solutions, and outline pathways for responsible and impactful innovation in health IUI.

The HealthIUI workshop explores the integration of intelligent user interfaces in health and care, focusing on AI-driven solutions that enhance user engagement, support clinical decision-making, and improve health information access. The workshop brings together experts from human-computer interaction, AI, and healthcare to address challenges such as transparency, usability, and ethical considerations in AI-assisted health applications. Topics covered include generative AI for patient and caregiver support, AI-powered clinical decision support, adaptive visualization for consumer health information, and explainable AI in nursing care. Through paper presentations and discussions, the workshop fosters interdisciplinary collaboration to advance intelligent health interfaces that balance technical innovation with user-centric design principles.

As intelligent interactive systems, recommender systems focus on determining predictions thatfit the wishes and needs of users. Still, a large majority of recommender systems research focuses on accuracy criteria and much less attention is paid to how users interact with the system, and in which way the user interface has an influence on the selection behavior of the users. Consequently, it is important to look beyond algorithms. The main goals of the IntRS workshop are to analyze the impact of user interfaces and interaction design, and to explore human interaction with recommender systems from a human decision making perspective. Methodologies for evaluating these aspects are also within the scope of the workshop.