Call for Full and Short Papers
ACM UMAP 2027 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, 2027
Abstract submission
January 29, 2027
Paper submission
March 2 to 8, 2027
Rebuttal phase
March 15, 2027
Notification of acceptance
March 30, 2027
Camera-ready papers due
June 9 to 12, 2027
Conference
The submission deadline is at 11:59 pm AoE (Anywhere on Earth) time.
Important: Submission of an abstract by the abstract submission deadline is mandatory for all Full and Short Paper submissions. Only papers for which an abstract has been submitted by January 22, 2027 will be eligible for full-paper submission by January 29, 2027. It will not be possible to submit a new paper after the abstract submission deadline.
Submissions should make clear their contribution to user modeling, adaptation, or personalization, including theoretical and human-centered studies of these systems.
Topics of Interest
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
Benefits of Attending
- Present your research to an international audience of experts
- Connect and network with leading researchers, practitioners and industry partners
- Explore emerging topics in user modeling, personalization, and adaptive systems
- Learn about the latest developments in human-centered and personalized AI
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.
Policies
Plagiarism
Plagiarized papers will not be accepted. Our committees will be checking the plagiarism level of all submitted papers to ensure content originality using an automated tool. If you reuse non-novel text from a prior publication (e.g., the description of an algorithm or dataset), please be sure to cite the prior publication as the source of that text. If you have questions about the reuse of text or simultaneous submission, please contact the program chairs at least one week prior to the submission deadline. Please refer to the ACM Publishing License Agreement and Authorship Policy for further details.
Use of AI policy
Authors must comply with the ACM Policy on Authorship and the ACM policy on the use of AI.
When AI tools were used as part of the research process, for example, in research design or methodology, data creation or selection, experiment design, data generation or collection, coding, model implementation, simulations, data analysis, testing, validation, deployment, or the creation of research artifacts such as code, datasets, figures, or charts, the specific use of these tools must be described in the methods section of the paper, in accordance with ACM policy.
The use of AI tools solely to assist with writing or editing the manuscript does not require disclosure.
Authors remain fully responsible and accountable for all content in their submission, including inaccuracies, plagiarism, misrepresentation, fabricated material, or other integrity violations, regardless of whether AI tools were used.
All references and citations must correspond to real and verifiable sources. Submissions containing fabricated, hallucinated, or otherwise non-existent references will be desk rejected. Authors are responsible for verifying the accuracy and existence of every cited source, regardless of whether AI tools were used in preparing the manuscript.
Submissions that are primarily generated by AI tools without substantial intellectual contributions from the human authors are prohibited and will be considered spam. Only humans may be listed as authors of submitted papers.
For further details, authors should consult the ACM Policy on Authorship and the ACM Frequently Asked Questions concerning the use of generative AI software tools.
Papers violating these requirements, or any other ACM policy concerning academic integrity, are subject to rejection without review. Cases may also be referred to the ACM Publications Ethics and Plagiarism Committee where warranted.
Accessibility
Authors are strongly encouraged to provide “alt text” (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author and it broadens the reader base for the author’s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures.
Submission policy
All submissions and reviews will be handled electronically. ACM UMAP has a no dual submission policy, which is why submitted manuscripts should not be currently under review at another publication venue. Particularly, please consider the following ACM’s publication policies:
“By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.”
“Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.”
Review Process and Ethics
Review process
ACM UMAP uses a double-blind review process. Authors must omit their names and affiliations from their submissions; they should also avoid obvious identifying statements. Submissions not abiding by anonymity requirements will be desk rejected. Reviewers will evaluate papers based on their significance, originality, rigor, and contribution to the field. Papers that are out of scope, incomplete, or lack sufficient evidence to support the basic claims, may be rejected without full review. Furthermore, reviewers will be asked to comment on whether the length is appropriate for the contribution. In addition, a rebuttal stage will allow authors to respond to the reviews and clarify factual errors or misunderstandings before final decisions are made.
The ACM Code of Ethics gives the UMAP program committee the right to (desk-)reject papers that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes/implications that clearly disadvantage minoritized communities. Reviewers will be asked to consider whether the research was conducted in compliance with professional ethical standards and applicable regulatory guidelines.
Ethical and human subjects considerations
ACM UMAP expects papers to include a discussion of the ethical considerations, as well as the impact of the presented work and/or its intended application, where appropriate. ACM UMAP further expects all authors to comply with ethical standards and regulatory guidelines associated with human subjects research, including research involving human participants and research using personally identifiable data. Papers reporting on such human subjects research must include a statement identifying any regulatory review the research is subject to (and identifying the form of approval provided), or explaining the lack of required review.
Registration and presentation policy
At least one author of accepted papers must register for the conference, completed by the early registration date cut-off. Each accepted paper must be presented in person to be included in the conference proceedings.
Accepted papers are published by ACM and available via the ACM Digital Library. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.
Camera-ready Submission and Open Access
Camera-ready submission
Accepted papers will be subject to further revision to meet the requirements of the camera-ready format required by ACM. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats, such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues.
Instructions for preparing the camera-ready versions of accepted papers will be provided after acceptance. This might include instructions to prepare a video of the accepted contribution. Camera-ready versions of accepted papers will be later submitted using ACM’s new production platform, where authors will be able to review PDF and HTML output formats before publication.
Open Access
Important update on ACM’s new open access publishing model for 2027 ACM Conferences!
Since January 1, 2026, ACM has fully transitioned to Open Access. All ACM publications, including those from ACM-sponsored conferences, are 100% Open Access. Authors have two primary options for publishing Open Access articles with ACM: the ACM Open institutional model or by paying Article Processing Charges (APCs). With over 2,600 institutions already part of ACM Open, the majority of ACM-sponsored conference papers will not require APCs from authors or conferences (currently, around 76%).
Authors from institutions not participating in ACM Open need to pay an APC to publish their papers, unless they qualify for a financial waiver. To find out whether an APC applies to your article, please consult the list of participating institutions in ACM Open and review the ACM policy on discretionary Open Access APC waivers. Keep in mind that waivers are rare and are granted based on specific criteria set by ACM.
For more information about the APC fees and policies, please refer to the policy page.
Program Chairs
Ludovico Boratto
University of Cagliari, Italy
Elisabeth Lex
Graz University of Technology, Austria
For any questions, please contact the UMAP ‘27 Program Chairs.
umap2027-programchairs@um.org
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