Generative AI is rapidly transforming the design of interactive health technologies.
Large language models, multimodal foundation models, and conversational agents enable new forms of interaction that combine text, speech, vision, and physiological data. At the same time, these systems raise critical questions regarding usability, safety, explainability, trust, and evaluation in sensitive health contexts.

HeMAI 2026 invites contributions that explore how multimodal interaction can be designed, implemented, and evaluated for generative AI–based health applications.

Topics of Interest

Topics include (but are not limited to):

  • Multimodal interaction techniques for AI health systems
  • Conversational agents and embodied AI in healthcare
  • Integration of text, speech, vision, and biosignals
  • Explainability and transparency in generative health AI
  • Human-AI collaboration in clinical and self-care settings
  • Safety, reliability, and trust in AI-driven health applications
  • Ethical, privacy, and regulatory challenges
  • Evaluation methodologies for multimodal generative systems
  • Real-world deployments and case studies

Submission Types

We welcome:

  • Full research papers
  • Short papers / work-in-progress
  • Position papers
  • Demo and system papers

Details on formatting and submission procedures will be announced soon.

Important Dates

See Important Dates.

Workshop Goals

The workshop aims to:

  • Foster interdisciplinary exchange between HCI, AI, and health researchers
  • Identify research challenges and future directions
  • Encourage responsible innovation in multimodal generative health AI

We look forward to your contributions.