========================================================= Call for Papers: HeMAI 2026 Multimodal Interaction with Generative AI Health Applications Workshop at ICMI 2026, Naples, Italy, 9 October 2026 (in person) https://qulab.github.io/HeMAI2026/ =========================================================

Generative AI is changing how people interact with health technology. Large language models, multimodal foundation models, and conversational agents make it possible to combine text, speech, vision, and physiological signals in ways that weren't practical a few years ago, and they raise difficult questions about usability, safety, explainability, trust, and evaluation when the stakes involve someone's health.

HeMAI 2026 brings HCI, AI, and health researchers together to work through those questions. We welcome contributions on multimodal interaction techniques for health systems, conversational and embodied agents in healthcare, integration of text/speech/vision/biosignals, explainability and transparency, human-AI collaboration, safety and trust, ethical and regulatory issues, evaluation methodologies, and real-world deployments.

Submission types: - Full research papers (up to 8 pages, excluding references) - Short / work-in-progress / position / demo papers (up to 4 pages, excluding references)

Submissions follow ICMI 2026 author guidelines: https://icmi.acm.org/2026/guidelines/ Papers rejected from the main ICMI track are welcome if they fit the scope.

Important dates (AoE): - Paper submission: 6 July 2026 - Notification: 29 July 2026 - Camera-ready: 1 August 2026 - Workshop: 9 October 2026

Workshop papers will be indexed by ACM Digital Library in an adjunct proceedings to ICMI 2026.

Organizers: - Stefan Hillmann (TU Berlin) - Sebastian Möller (TU Berlin & DFKI Berlin) - Catherine Pelachaud (CNRS--ISIR, Sorbonne University) - Lisa Raithel (TU Berlin & BIFOLD & DFKI Berlin & Charité--IKIM) - Roland Roller (DFKI Berlin)

Workshop website: https://qulab.github.io/HeMAI2026/

We are looking forward to your submissions!

On behalf of the organizing team Stefan Hillmann

-- Dr.-Ing. Stefan Hillmann Wissenschaftlicher Mitarbeiter / Senior Researcher er, ihm / he, his Anrede / Form of address: Herr / Mr. or Du / Stefan

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Technische Universität Berlin Fakultät IV / Faculty 4 Elektrotechnik und Informatik / Electrical Engineering and Computer Science Quality and Usability Lab Sekr. MAR 6-7, Marchstr. 23, 10587 Berlin, GERMANY

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Forschungsschwerpunkte / Research Areas: Usable Dialog Systems, User Experience, AI for Conversational Systems

Web: www.tu.berlin/qu ORCID: orcid.org/0000-0002-0795-9834 LinkeIn: www.linkedin.com/in/stefan-hillmann-81841044