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<p>--- Please forward to anyone who might be interested ---<br>
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--- Apologies for cross-posting ---<br>
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# **30th ACM Conference on User Modeling, Adaptation and
Personalization (UMAP ’22)**<br>
<br>
Barcelona*, Spain, July 4–7, 2022<br>
<br>
<a class="moz-txt-link-freetext"
href="http://www.um.org/umap2022/" target="_BLANK">http://www.um.org/umap2022/</a><br>
<br>
(*) Due to the ongoing COVID-19 pandemic, we are planning
for a hybrid conference and will accommodate online
presentations where needed.<br>
<br>
Submission Deadline:<br>
- Abstracts due: <b>February 10, 2022</b> (mandatory)<br>
- Full paper due: February 17, 2022<br>
<br>
--------------------------------------------------------<br>
**BACKGROUND AND SCOPE**<br>
============================<br>
<br>
**ACM UMAP** – ***User Modeling, Adaptation and
Personalization*** – is the premier international conference
for researchers and practitioners working on systems that
adapt to individual users or to groups of users, and that
collect, represent, and model user information. **ACM UMAP**
is sponsored by ACM SIGCHI (<a class="moz-txt-link-freetext"
href="https://sigchi.org" target="_BLANK">https://sigchi.org</a>)
and SIGWEB (<a class="moz-txt-link-freetext"
href="https://www.sigweb.org" target="_BLANK">https://www.sigweb.org</a>),
and organized with User Modeling Inc. (<a
class="moz-txt-link-freetext" href="https://um.org"
target="_BLANK">https://um.org</a>) as the core Steering
Committee, extended with past years’ chairs. The proceedings
are published by the **ACM** and will be part of the ACM
Digital Library (<a class="moz-txt-link-freetext"
href="https://dl.acm.org" target="_BLANK">https://dl.acm.org</a>).<br>
<br>
**ACM UMAP** covers a wide variety of research areas where
personalization and adaptation may be applied. The main
theme of **UMAP 2022** is ***“User control in personalized
systems”***. Specifically, we welcome submissions related to
user modeling, personalization, and adaptation in all areas
of personalized systems, with an emphasis on how to balance
adaptivity and user control. Below we present a short (but
not prescriptive) list of topics of importance to the
conference. <br>
<br>
ACM UMAP is co-located and collaborates with the ACM
Hypertext conference (<a class="moz-txt-link-freetext"
href="https://ht.acm.org/ht2022/" target="_BLANK">https://ht.acm.org/ht2022/</a>).
UMAP takes place one week after Hypertext, and uses the same
submission dates and formats. We expect authors to submit
research on personalized systems to UMAP and invite authors
to submit their Web-related work without a focus on
personalization to the Hypertext conference. The two
conferences will organize one shared track on **personalized
recommender systems** (same track chairs and PC, see the
track description).<br>
<br>
--------------------------------------------------------<br>
**IMPORTANT DATES**<br>
============================<br>
- Paper Abstracts: February 10, 2022 (mandatory)<br>
- Full paper: February 17, 2022<br>
- Notification: April 11, 2022<br>
- Conference: July 4-July 7, 2022<br>
<br>
**Note**: The submissions deadlines are at 11:59pm AoE time
(Anywhere on Earth)<br>
<br>
--------------------------------------------------------<br>
**CONFERENCE TOPICS**<br>
============================<br>
We welcome submissions related to *user modeling,
personalization, and adaptation in any area*. The topics
listed below are not intended to limit possible
contributions. **Detailed descriptions and the suggested
topics for each track are reported in the online version of
the CFP on the UMAP 2022 web site.**<br>
<br>
<br>
### **Personalized Recommender Systems***<br>
**Track Chairs: Osnat Mokryn (University of Haifa), Eva
Zangerle (University of Innsbruck, Austria) and Markus
Zanker (University of Bolzano, Italy, and University of
Klagenfurt, Austria)**<br>
<br>
(*) This is a joint track between ACM UMAP and ACM Hypertext
(same track chairs, overlapping PC). Authors planning to
contribute to this track can submit to either conference,
depending on their broader interest in either Hypertext or
UMAP. Track chairs organize a special issue in the journal
New Review of Hypermedia and Multimedia.<br>
<br>
This track aims to provide a forum for researchers and
practitioners to discuss open challenges, latest solutions
and novel research approaches in the field of recommender
systems. In addition to mature research works addressing
technical aspects pertaining to recommendations, we also
particularly welcome research contributions that address
questions related to the user perception and the business
value of recommender systems.<br>
<br>
<br>
### **Adaptive Hypermedia, Semantic, and Social Web**<br>
**Track Chairs: Alexandra I. Cristea (Durham University, UK)
and Peter Brusilovsky (University of Pittsburgh, US)**<br>
<br>
This track aims to provide a forum to researchers to discuss
open research problems, solid solutions, latest challenges,
novel applications, and innovative research approaches in
adaptive hypermedia, semantic and social web. We invite
original submissions addressing all aspects of
personalization, user models building, and personal
experience in online social systems.<br>
<br>
<br>
### **Intelligent User Interfaces**<br>
**Track chairs: Elisabeth Lex (Graz University of
Technology, Austria) and Marko Tkalcic (University of
Primorska, Slovenia)**<br>
<br>
This topic can be characterized by exploring how to make the
interaction between computers and people smarter and more
productive, which may leverage solutions from human-computer
interaction, data mining, natural language processing,
information visualization, and knowledge representation and
reasoning.<br>
<br>
<br>
### **Technology-Enhanced Adaptive Learning**<br>
**Track chairs: Judy Kay (University of Sydney, Australia)
and Sharon Hsiao (Santa Clara University, US)**<br>
<br>
This track invites researchers, developers, and
practitioners from various disciplines to present their
innovative learning solutions, share acquired experience,
and discuss their modeling challenges for personalized
adaptive learning.<br>
<br>
<br>
### **Fairness, Transparency, Accountability, and Privacy**<br>
**Track chairs: Bamshad Mobasher (DePaul University College
of Computing and Digital Media, US) and Munindar P. Singh
(NC State University, US)**<br>
<br>
Adaptive systems researchers and developers have a social
responsibility to care about the impact of their
technologies on individual people (users, providers, and
other stakeholders) and on society. This track invites work
that pertains to the science of building, maintaining,
evaluating, and studying adaptive systems that are fair,
transparent, respectful of users’ privacy, and beneficial to
society.<br>
<br>
<br>
### **Personalization for Persuasive and Behavior Change
Systems**<br>
**Track chairs: Julita Vassileva (University of
Saskatchewan, Canada) and Panagiotis Germanakos (SAP SE,
Germany)**<br>
<br>
This track invites original submissions addressing the areas
of personalization and tailoring for persuasive
technologies, including but not limited to personalization
models, user models, computational personalization, design
and evaluation methods, and personal experience designing
personalized and adaptive behaviour change technologies.<br>
<br>
<br>
### **Virtual Assistants and Personalized Human-robot
Interaction**<br>
**Track chairs: Radhika Garg (Syracuse University, US) and
Cristina Gena (University of Torino, Italy)**<br>
<br>
This track aims at investigating new models and techniques
for the adaptation of synthetic companions (e.g., virtual
assistants, chatbots, social robots) to the individual user.<br>
<br>
<br>
### **Research Methods and Reproducibility**<br>
**Track chairs: Odd Erik Gundersen (Norwegian University of
Science and Technology, Norway) and Dietmar Jannach
(University of Klagenfurt, Austria)**<br>
<br>
This track accepts works on methodologies for the evaluation
of personalized systems, benchmarks, measurement scales,
with particular attention to reproducibility of results and
of techniques.<br>
<br>
--------------------------------------------------------<br>
**SUBMISSION AND REVIEW PROCESS**<br>
============================<br>
Please consult the conference website for the submission
link: <a class="moz-txt-link-freetext"
href="http://www.um.org/umap2022/" target="_BLANK">
http://www.um.org/umap2022/</a>.<br>
<br>
The maximum length is **14 pages (excluding references) in
the ACM new single-column format**. We encourage papers of
any length up to 14 pages; reviewers will be asked to
comment on whether the length is appropriate for the
contribution.<br>
<br>
**Additional review criteria are available in the online
version of the CFP on the UMAP 2022 web site.**<br>
<br>
Each accepted paper will be included in the conference
proceedings and presented at the conference. <br>
<br>
UMAP uses a **double blind** review process. Authors must
omit their names and affiliations from submissions, and
avoid obvious identifying statements. For instance,
citations to the authors' own prior work should be made in
the third person. Failure to anonymize your submission
results in the desk-rejection of your paper.<br>
<br>
--------------------------------------------------------<br>
**ORGANIZERS**<br>
============================<br>
<br>
**General chairs**<br>
- Ludovico Boratto, University of Cagliari, Italy<br>
- Alejandro Bellogín, Universidad Autónoma de Madrid, Spain<br>
- Olga C. Santos, Spanish National University for Distance
Education, Spain<br>
<br>
**Program Chairs**<br>
- Liliana Ardissono, University of Torino, Italy<br>
- Bart Knijnenburg, Clemson University, US<br>
<br>
--------------------------------------------------------<br>
**RELATED EVENTS**<br>
============================<br>
Separate calls will be sent for Workshops, Doctoral
Consortium, and Demo/Late-Breaking Results, as these have
different deadlines and submission requirements.</p>
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<pre class="moz-signature" cols="72">--
Helma Torkamaan
Researcher
University of Duisburg-Essen
Interactive Systems Group
Room LF 288, Forsthausweg 2, 47057 Duisburg, GERMANY
<a class="moz-txt-link-abbreviated moz-txt-link-freetext" href="mailto:helma.torkamaan@uni-due.de">helma.torkamaan@uni-due.de</a> / +49 203 379-2276</pre>
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