HIMAS 2027 — Human-Centered Interactive Multimodal AI Systems

About the Workshop

As AI models are increasingly able to handle multimodal data, effectively deploying these models in real-world settings requires building interactive systems that bridge the gap between multimodal AI and the users.

The Human-Centered Interactive Multimodal AI Systems (HIMAS) workshop brings together researchers from multimedia analytics, human-computer interaction, information visualization, and multimodal AI, alongside domain experts, to identify shared challenges and shape a research agenda for HIMAS.

The workshop explores three overlapping themes:

Integrating multimodal AI with interactive interfaces

Moving beyond text-only chat toward interfaces that combine speech, touch, sketches, gestures, and visualizations to communicate with and steer multimodal AI.

Designing HIMAS for effective human-AI collaboration

Supporting mixed-initiative interaction, shared context, and user agency — so people can inspect, verify, and correct how multimodal systems reason.

Adapting and generalizing HIMAS across domains

Understanding which design and evaluation approaches transfer across application areas — and which must be specialized to the domain.

Call for Papers

Submit your work

We solicit three types of contributions. Each submission will be reviewed by a minimum of three reviewers and accepted papers will appear in the joint IUI 2027 workshop proceedings.