Call for Papers:

ACM UMAP 2027 – The 35th ACM International Conference on User Modeling, Adaptation and Personalization
June 9-12, 2027
Chicago, USA
https://um.org/umap2027/call-for-full-and-short-paper/

Deadline for submission of abstracts: January 22, 2027
Deadline for submission of papers: January 29, 2027

The 35th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2027) invites submissions of original research on user modeling, adaptation, personalization, and human-centered adaptive AI systems.

Topics

UMAP 2027 welcomes theoretical, methodological, empirical, and applied contributions, including (but not limited to):

• Creativity in User Modeling, Adaptation and Personalization
• Intelligent and personalized user interfaces
• Recommender systems and personalized information access, including search and conversational recommendation
• Data-mining, statistical, and machine-learning methods for user modeling, adaptation, and personalization
• User modeling, adaptation, and personalization for autonomous and agentic AI systems, including conversational and embodied agents
• Applications of user modeling and personalization to well-being and health
• Personalized behavior change and persuasive applications
• Adaptive human-agent interaction, including user understanding, appropriate reliance, and control
• Long-term personalization and lifelong learning, including evolving user models, preference change, and user-controlled memory
• Intelligent and personalized e-learning applications and educational games
• Generative AI for user modeling, adaptation, and personalization, and user modeling for personalized language and multimodal models
• 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
• Multimodal and context-aware user modeling and adaptation
• Modeling and adapting to users’ knowledge, capabilities, and cognitive and affective states
• User modeling, adaptation, and personalization in augmented and virtual reality
• Group modeling and collaborative team formation
• Ethical and societal issues of personalization and human-centered AI systems, including privacy, fairness, accountability, transparency, accessibility, inclusivity, equity, user agency, and potential harms
• Sustainability-aware methods and Sustainable Development Goals (SDGs) for user modeling, adaptation, and personalization
• Inclusive, equitable, and accessible user modeling, adaptation, and personalization
• User agency, autonomy, consent, and control in personalized and adaptive systems
• Explainable personalization and open, inspectable, and editable user models
• Participatory and co-design approaches to user modeling, adaptation, and personalization
• Cultural, linguistic, and socioeconomic diversity in user modeling and personalization
• Bias, discrimination, representational harms, and disparate impacts in adaptive and personalized systems
• Personalization for underserved, underrepresented, and low-resource populations and contexts
• Personalized approaches for preventing echo chambers, user manipulation, and disinformation
• Evaluation methods for human-centered adaptive and personalized systems, including longitudinal and interactive evaluation, validation of automated and simulation-based assessments, and assessment of user outcomes, fairness, accessibility, inclusivity, user agency, and differential impacts across populations
• User simulation and synthetic interaction data for adaptive and personalized systems, including validation against human behavior
• Research methods and reproducibility, including benchmarks, datasets, and challenges

Submission Types

We encourage two types of submissions, in the ACM two-column format. Reviewers will be asked to comment on whether the length is appropriate for the contribution.

• Long papers: maximum 8 pages of manuscript content, including all figures, tables, proofs, appendices, acknowledgments, and any other content. References are excluded from the 8-page limit and may occupy up to 2 additional pages, for a maximum of 10 pages in total. Long papers should report substantial contributions of lasting value. They should reflect more complex innovations or studies and provide a thorough discussion of related work. Each accepted long paper will be included in the main conference proceedings and presented in a plenary session as part of the main conference program.
• Short papers: maximum 4 pages of manuscript content, including all figures, tables, proofs, appendices, acknowledgments, and any other content. References are excluded from the 4-page limit and may occupy up to 2 additional pages, for a maximum of 6 pages in total. Short papers typically discuss novel work that is not yet mature enough for a long paper. They are not “work-in-progress” reports, but complete reports on smaller or more concise research contributions that can be described, contextualized, and evaluated within the shorter format. Novel and significant proposals may be considered for this category even if they have not yet undergone extensive experimental validation or do not have a strong theoretical foundation. Each accepted short paper will be included in the main conference proceedings and presented either orally or as a poster as part of the main conference program.

Important Dates (Anywhere on Earth, AoE)

Abstract submission: January 22, 2027
Paper submission: January 29, 2027
Rebuttal: March 2–8, 2027
Acceptance notification: March 15, 2027
Camera-ready submission: March 30, 2027

Submission Information

Abstract registration is mandatory by January 22, 2027 and must include the paper title, abstract, and complete author list. The author list and author order cannot be changed after the abstract deadline.

All submissions must be in English, follow the ACM double-column format, and be submitted electronically through EasyChair. UMAP 2027 follows a double-blind review process.

Program Chairs

Ludovico Boratto, University of Cagliari, Italy
Elisabeth Lex, Graz University of Technology, Austria

More Information

Full Call for Papers and Submission Guidelines:
https://um.org/umap2027/call-for-full-and-short-paper/