[fg-arc] UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization: Preliminary Call for Papers

[Announce Announcements]

*** Preliminary Call for Papers ***

UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization

June 26 - 29, 2023, St. Raphael Resort, Limassol, Cyprus

https://www.um.org/umap2023/ 


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 2023 is "Personalization in Times of Crisis”. Specifically, we 
welcome submissions that highlight the impact that critical periods (such as the 
COVID-19 pandemic, ongoing wars, and climate change, to name a few) can have on
user modeling, personalization, and adaptation of (intelligent) systems; the focus is 
on investigations that capture how these trying times may have influenced user 
behavior and whether new models are required. 

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 the claims (e.g., 
user study, system evaluation, computational analysis).


Important Dates

• Paper Abstracts: January 19, 2023 (mandatory)
• Full paper: January 26, 2023
• Notification: April 11, 2023
• Camera-ready: May 2, 2023
• Conference: June 26 - 29, 2023
Note: The submissions deadlines are at 11:59 pm AoE time (Anywhere on Earth)


Conference Topics

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 the UMAP 2023 website.

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.

Adaptive, Semantic, Knowledge, and Social Graphs
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

Submissions for any of the aforementioned tracks should have a maximum length of 
*14 pages* (excluding references) in the ACM new single-column format
(https://www.acm.org/publications/proceedings-template). (Papers of any length up
to 14 pages are encouraged; reviewers will comment on whether the size is 
appropriate for the contribution.)  Additional review criteria and submission link will 
be available shortly on the conference website: https://www.um.org/umap2023/ .

Accepted papers will be included in the conference proceedings and presented at the
conference. At least one author should register for the conference by the early 
registration date cut-off.

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.  

UMAP has a *no dual submission* policy, which is why full paper submissions should
not be currently under review at another publication venue. Further, UMAP operates 
under the ACM Conference Code of Conduct
(https://www.acm.org/about-acm/policy-against-harassment).


Program Chairs

• Julia Neidhardt, TU Wien, Austria 
• Sole Pera, TU Delft, The Netherlands      
  
Contact information: umap2023-program at um.org
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