This seminar will establish a cross-disciplinary research agenda at the intersection of immersive technologies, artificial intelligence, human–computer interaction, and data visualization. The convergence of these fields presents a timely and pressing opportunity to reconsider how humans and AI agents collaborate in situated, data-rich environments.

Over the past decade, Immersive Analytics has matured into a recognized research domain, producing validated techniques for embedding complex visualizations into augmented and virtual environments. In parallel, recent advances in AI—including multimodal foundation models, embodied interaction, and real-time perception—are transforming how AI can both interpret and act within human contexts. Taken together, these developments point towards a new generation of systems in which:

• AI agents provide context-aware guidance directly integrated into human perception and task environments (e.g., surgery, engineering, or clinical handover).
• Humans steer AI behaviour through embodied interaction, such as refining segmentations or guiding generative outputs within immersive 3D spaces.

This Dagstuhl Seminar aims to articulate the challenges, opportunities, and theoretical foundations required to realize such systems. Key themes include:

• Interaction paradigms for human–AI collaboration in immersive environments;
• Architectures for context-aware, embodied intelligence, including approaches to edge computing and multimodal integration;
• Theoretical frameworks linking design principles, perception, and cognition to explainable and trustworthy AI;
• Application domains such as healthcare, construction, primary industries, science, and education, where immersive AI can enhance decision-making and situational awareness;
• Ethical and societal considerations, including value-sensitive design, privacy, and alignment.

The seminar will be structured to foster interdisciplinary dialogue, combining plenary sessions, working groups, and synthesis activities. The expected outcomes include defining grand research challenges, developing a shared vocabulary across communities, and initiating collaborative outputs such as vision papers, special issues, or a book-length volume, following in the tradition of the influential Immersive Analytics monograph.

With mixed-reality headsets reaching mass affordability and social acceptability, and with AI capabilities advancing at unprecedented speed, this seminar is both timely and necessary. It offers an opportunity to position Immersive Analytics within the emerging landscape of embodied and contextual AI, and to define how these technologies can be deployed responsibly to support human cognition and activity in high-stakes environments.

Creative Commons BY 4.0

Tim Dwyer, Mennatallah El-Assady, Karsten Klein, and Mike Preuß