Preliminary Call for Full and Short Papers:

UMAP 2026 – The 34th ACM International Conference on User Modeling, Adaptation and Personalization
June 8-11, 2026
Gothenburg, Sweden
https://www.um.org/umap2025/call-for-papers/

Deadline for submission of abstracts: January 22, 2026
Deadline for submission of papers: January 29, 2026

ACM UMAP is the premier international conference bringing together research in AI and HCI to support effective human-AI collaboration via interactive systems that can model, adapt and personalize to their users. The conference is sponsored by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. UMAP operates under the ACM Conference Code of Conduct.

ACM UMAP 2026 will bring together researchers, practitioners, and policymakers from around the world to discuss the latest developments in human-centered approaches to design and use and evaluate AI systems that adapt to human needs while ensuring, at the same time, user control, fairness, accountability, transparency, inclusivity and sustainability. The accepted papers will be published in the conference proceedings, accessible through the ACM Digital Library.

IMPORTANT DATES

January 22, 2026: Abstract submission
January 29, 2026: Paper submission
March 2-9, 2026: Rebuttal phase
March 26, 2026: Notification of acceptance
TBD: Camera-ready papers due
June 8-11, 2026: Conference

Note: the submission deadline is at 11:59 pm AoE (Anywhere on Earth) time.

TOPICS OF INTEREST INCLUDE BUT ARE NOT LIMITED TO

• Creativity in User Modeling, Adaptation and Personalization
• Intelligent and personalized user interfaces
• Data mining techniques for user modeling, adaptation, and personalization
• Application of user modeling and personalization to well-being and health
• Personalized behavior change and persuasive applications
• Human-agent interaction
• Long-term personalization and lifelong learning
• Intelligent and personalized e-learning applications and educational games
• Generative AI techniques for user modeling, adaptation, and personalization
• Personalized user interaction with agents
• Large Language Models and Natural Language Processing methods for user modeling, adaptation and personalization
• Knowledge graphs, Linked data, and semantics for user modeling, adaptation, and personalization
• Modeling and adapting to human affective states
• Virtual assistants, conversational agents, and personalization in augmented reality
• Group modeling and collaborative team formation
• Ethical issues of personalization and human-centered AI systems: Privacy, Fairness, Accountability, Transparency
• Sustainability-aware methods and Sustainable Development Goals (SDGs) for user modeling, adaptation, and personalization
• Personalized approaches for preventing eco-chambers, user manipulation, and disinformation
• Evaluation methods for human-centered adaptive systems
• Research methods and reproducibility (including benchmarks, datasets, and challenges)

SUBMISSION GUIDELINES

• Papers should be original and not previously published or under review elsewhere.
• Full papers should be no more than 8 pages in length, excluding the references.
• Short papers should be no more than 4 pages in length, excluding the references.
• All authors are expected to comply with ethical and regulatory guidelines associated with human subjects research.
• Paper formatting will follow the ACM Two Column Format.
• Papers should be anonymized for double-blind review process.
• Papers should be submitted electronically in PDF format via EasyChair.

IN-PERSON ATTENDANCE POLICY AND OPEN ACCESS

Each accepted paper must be presented in person to be included in the conference proceedings. All UMAP 2026 papers will be published under ACM Open. Authors from institutions not participating in ACM Open will need to pay an APC to publish their papers, unless they qualify for a financial or discretionary waiver.

BENEFITS OF ATTENDING

• Present your research to a global audience of experts in your field.
• Connect with leading industry partners.
• Network with colleagues and potential collaborators.
• Learn about the latest developments in the intersection of AI and Human-Computer Interaction.

We look forward to receiving your submissions!

CONTACT

For any questions, please contact the UMAP ‘26 Program Chairs at umap2026-programchairs@um.org.

• Alejandro Bellogín, Universidad Autónoma de Madrid, Spain
• Nadja (Berardina) Decarolis, University of Bari, Italy