UMAP 2024 : User Modeling, Adaptation, and Personalization
Conference Series : User Modeling, Adaptation, and Personalization
Call For Papers
*** Call for Papers ***
ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization
July 1-4, 2024, Cagliari, Sardinia, Italy
ACM UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. The proceedings, published by ACM, will be part of the ACM Digital Library.
The theme of UMAP 2024 is “Collaboration and Cooperation for the Greater Good“. Specifically, we welcome submissions that highlight the impact that working together and synergy (such as between academia, industry, influential policy making bodies, committees and communities) can have on solving the world’s biggest problems; the focus is on investigations that capture how user modeling, personalization, and adaptation of (intelligent) systems may influence user behavior, trustful processes and whether new models are required, for building sustainable and inclusive services and solutions that can address critical challenges of our world.
While we encourage submissions related to this theme, the scope of the conference is not limited to the theme only. As always, contributions from academia, industry, and other organizations discussing open challenges or novel research approaches are expected to be supported by rigorous evidence appropriate to claims (e.g., user study, system evaluation, computational analysis).
- Paper Abstract Submission: January 22, 2024 (mandatory)
- Paper Submission: January 29, 2024
- Notification: March 28, 2024
- Camera-ready Submission: May 9, 2024
- Conference: July 1 – 4, 2024
The submissions deadlines are at 11:59 pm AoE time (Anywhere on Earth).
We welcome submissions related to user modeling, personalization, and adaptation of (intelligent) systems targeting a broad range of users and domains. Detailed descriptions and the suggested topics for each track will be available shortly in the extended version of the CFP on this page.
** Personalized Recommender Systems **
This track invites works from researchers and practitioners on recommender systems. In addition to mature research works addressing technical aspects of recommendations, we welcome research contributions that address questions related to user perception, decision-making, and the business value of recommender systems.
** Knowledge Graphs, Semantics, Social and Adaptive Web **
This track welcomes works focused on the use of knowledge representations (i.e., novel knowledge bases), graph algorithms (i.e., graph embedding techniques), and social network analysis at the service of addressing all aspects of personalization, user model building, and personal experience in online social systems. Moreover, this track invites works in adaptive hypermedia, as well as semantic and social web.
** Intelligent User Interfaces **
This track invites works exploring how to make the interaction between computers and people smarter and more productive, leveraging solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning.
** Personalizing Learning Experiences through User Modeling **
This track invites researchers, developers, and practitioners from various disciplines to submit their innovative learning solutions, share acquired experiences, and discuss their modeling challenges for personalized adaptive learning.
** Fairness, Transparency, Accountability, and Privacy **
Researchers, developers, and practitioners have a social responsibility to account for the impact that technologies have on individuals (users, providers, and other stakeholders) and society. This track invites works related to the science of building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, respectful of users’ privacy, beneficial to society, and accountable for their impacts.
** Personalization for Persuasive and Behavior Change Systems **
This track invites submissions focused on personalization and tailoring for persuasive technologies, including but not limited to personalization models, user models, computational personalization, design, and evaluation methods. It also welcomes work that brings attention to the user experience and designing personalized and adaptive behavior change technologies.
** Virtual Assistants, Conversational Interactions, and Personalized Human-Robot Interaction **
This track invites works investigating new models and techniques for adapting synthetic companions (e.g., virtual assistants, chatbots, social robots) to individual users. With the conversational modality so in vogue across disciplines, this track welcomes work highlighting the model and deployment of synthetic companions driven by conversational search and recommendation paradigms.
** Research Methods and Reproducibility**
This track invites submissions on methodologies to evaluate personalized systems, benchmarks, and measurement scales, with particular attention to the reproducibility of results and techniques. Furthermore, the track looks for submissions that report new insights from reproducing existing works.
Submission and Review Process
For UMAP 2024 we encourage two kinds of submissions (reviewers will comment on whether the size is appropriate for each contribution), in the ACM new single-column format:
Long papers should report on substantial contributions of lasting value. The maximum length is 14 pages (excluding references, which do not count towards the limit). Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program.
Short papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. The maximum length is 7 pages (excluding references, which do not count towards the limit). Each accepted short paper will be included in the conference proceedings and presented either as an oral presentation or at the poster session.
UMAP uses a double-blind review process. Authors must omit their names and affiliations from their submissions; they should also avoid obvious identifying statements. For instance, citations to the authors’ prior work should be in the third person. Submissions not abiding by anonymity requirements will be desk rejected. In addition, UMAP 2024 will introduce a new “Raise Your Voice” stage during evaluation, offering a small window to authors to optionally discuss the initial decision of their submission, enhancing the transparency and quality of the reviewing process. Additional review criteria and submission link will be available shortly on the conference website: https://www.um.org/umap2024.
UMAP has a no dual submission policy, which is why full and short paper submissions should not be currently under review at another publication venue. Further, UMAP operates under the ACM Conference Code of Conduct.
Panagiotis Germanakos, SAP SE, Germany
Elvira Popescu, University of Craiova, Romania
Contact information: firstname.lastname@example.org