ACM International Conference on User Modeling, Adaptation and Personalization (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. UMAP is now a ranked A (“Excellent”) conference in the ICore 2026 rankings.

The conference is sponsored by ACM SIGCHI and ACM SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. UMAP operates under the ACM Conference Code of Conduct.

Submission Guidelines

All submissions must be written in English. Papers should be submitted electronically, in PDF format, through the EasyChair submission system, by selecting the “Full and Short Papers” track.

Abstract submission and authorship

The abstract submission is a mandatory registration of the paper and must include the paper title, abstract, and complete author list.

At the time of abstract submission, information about all authors and the authorship order must be established. The list and order of authors cannot be changed after the abstract submission deadline. Requests to add, remove, or reorder authors after this deadline will not be permitted.

Authors should therefore ensure that the complete and correct author list is entered in the submission system before the abstract submission deadline. Submissions that do not comply with this requirement may be rejected without review or at a later stage of the review process.

Format

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.

We recommend that supplementary material is linked to an external source using an anonymized link.

Anonymity and preprints / archived versions

Submissions must be anonymous, as ACM UMAP uses a double-blind review process. Authors must omit their names and affiliations from submissions and avoid obvious identifying statements. Citations to the authors’ prior work should be written in the third person. Failure to anonymize a submission may result in desk rejection.

It is acceptable to explicitly refer in the paper to companies or organizations that provided datasets, hosted experiments, or deployed solutions, provided that this does not imply that the authors are currently affiliated with the organization. To release code or additional materials while preserving anonymity, authors should use an anonymous repository such as https://anonymous.4open.science.

Preprints. Authors may post and update non-peer-reviewed preprints on preprint servers such as arXiv, personal websites, or institutional repositories before submission and throughout the review period. These versions may include authors’ names and affiliations. Such posting is not considered prior archival publication or dual submission. The prohibition on simultaneous submission to another publication venue remains in force.

The manuscript submitted to UMAP and all supplementary materials and author-provided resources supplied for review must comply with the anonymity requirements above. Review materials must not link to a non-anonymous preprint of the submitted work. Posting a preprint does not require changing the submission’s title or abstract.

Reviewers must not actively seek the authors’ identities. Awareness of a preprint is not, by itself, grounds for rejecting a submission; any resulting conflict of interest must be reported to the Program Chairs. Evaluation will be based on the submitted version and material provided through the official review process, not on subsequent updates to public preprints.

Templates

Following the ACM Publication Workflow, all authors must submit manuscripts for review in the ACM double-column format. Instructions for authors are given below:

• LaTeX: Please use the latest version of the Primary Article Template (LaTeX) to create your submission. Start the document with the \documentclass[sigconf,review,anonymous]{acmart} command to generate the output in a double-column format. Please see the LaTeX documentation and ACM’s LaTeX best practices guide for further instructions, ignoring the single-column instructions. Do not use the “manuscript” option, otherwise, the document will not be compiled in double-column, as required. Check the sample-sigconf.tex file included in the template package for a formatting example. To ensure 100% compatibility with The ACM Publishing System (TAPS), please restrict the use of packages to the whitelist of approved LaTeX packages.
• Overleaf: use \documentclass[sigconf,review,anonymous]{acmart} for double-column. Please carefully follow the ACM’s instructions for preparing your article with Overleaf.
• Word: Please carefully follow the ACM’s instructions for preparing your article with Microsoft Word, ignoring the single-column instructions and the single-column submission template. Please use the double-column Word template.

List of Topics

Topics of interest include, but are 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