-------- Forwarded Message --------
*** Apologies for cross postings ***
*ExUM Workshop @UMAP 2023 - Final Call For Papers - *** DEADLINE
APRIL, 20 ***
----------------------------------------------------------------------
Workshop on Explainable User Models and Personalised Systems
(ExUM@UMAP 2023)
co-located with UMAP 2023 (
http://www.um.org/umap2023
<http://www.um.org/umap2023>) - 31st ACM Conference on User
Modeling, Adaptation and Personalization, June 26-29 | Limassol
(Cyprus)
Twitter:
https://twitter.com/ExUM_Workshop
<https://twitter.com/ExUM_Workshop>
Web:
http://www.di.uniba.it/~swap/exum
<http://www.di.uniba.it/~swap/exum>
For any information:
cataldo.musto@uniba.it
<mailto:cataldo.musto@uniba.it>,
marco.polignano@uniba.it
<mailto:marco.polignano@uniba.it>
=========
ABSTRACT
=========
Adaptive and personalized systems have become pervasive
technologies that are gradually playing an increasingly important
role in our daily lives. Indeed, we are now used to interacting
every day with algorithms that help us in several scenarios,
ranging from services that suggest us music to be listened to or
movies to be watched, to personal assistants able to proactively
support us in complex decision-making tasks.
As the importance of such technologies in our everyday lives
grows, it is fundamental that the internal mechanisms that guide
these algorithms are as clear as possible. It is not by chance
that the recent General Data Protection Regulation (GDPR)
emphasized the users' right to explanation when people face
intelligence systems. Unfortunately, the current research tends to
go in the opposite direction, since most of the approaches try to
maximize the effectiveness of the personalization strategy (e.g.,
recommendation accuracy) at the expense of the explainability and
the transparency of the model.
The main research questions which arise from this scenario is
simple and straightforward: how can we deal with such a dichotomy
between the need for effective adaptive systems and the right to
transparency and interpretability?
Several research lines are triggered by this question: building
scrutable user models and transparent algorithms, analyzing the
impact of opaque algorithms on final users, studying the role of
explanation strategies, and investigating how to provide users
with more control in the personalization and adaptation problems.
The workshop aims to provide a forum for discussing such problems,
challenges, and innovative research approaches in the area, by
investigating the role of transparency and explainability in the
recent methodologies for building user models or for developing
personalized and adaptive systems.
======
TOPICS
======
Topics of interest include but are not limited to:
∑ TRANSPARENT AND EXPLAINABLE PERSONALIZATION STRATEGIES
o Scrutable User Models
o Transparent User Profiling and Personal Data Extraction
o Explainable Personalization and Adaptation Methodologies
o Novel strategies (e.g., conversational recommender systems) for
building transparent algorithms
o Transparent Personalization and Adaptation to Groups of users
∑ DESIGNING EXPLANATION ALGORITHMS
o Explanation algorithms based on the item description and item
properties
o Explanation algorithms based on user-generated content (e.g.,
reviews)
o Explanation algorithms based on collaborative information
o Building explanation algorithms for opaque personalization
techniques (e.g., neural networks, matrix factorization)
o Explanation algorithms based on methods to build group models
∑ DESIGNING TRANSPARENT AND EXPLAINABLE USER INTERFACES
o Transparent User Interfaces
o Methodologies for designing transparent interaction
o Novel paradigms (e.g. chatbots) for building transparent models
∑ EVALUATING TRANSPARENCY AND EXPLAINABILITY
o Evaluating Transparency in interaction or personalization
o Evaluating the Explainability of the algorithms
o Designing User Studies for evaluating transparency and
explainability
o Novel metrics and experimental protocols
∑ OPEN ISSUES IN TRANSPARENT AND EXPLAINABLE USER MODELS AND
PERSONALIZED SYSTEMS
o Ethical issues (Fairness and Biases) in User Models and
Personalized Systems
o Privacy management of Personal and Social data
o Discussing Recent Regulations (GDPR) and future directions
============
SUBMISSIONS
============
We encourage the submission of contributions investigating novel
methodologies to exploit heterogeneous personal data and
approaches to build transparent and scrutable user models. In
particular, we accept three kinds of submissions:
(A) Regular papers (max. 10 pages + references - single-column ACM
format)
(B) Ongoing projects, Demo and Short papers (max. 5 pages +
references - single-column ACM format);
(C) Journal papers (already published - 2 pages including
abstract, highlights, and a pointer to the complete paper -
single-column ACM format);
Submission site:
https://easychair.org/conferences/?conf=umap23
<https://easychair.org/conferences/?conf=umap23>
During the submission process select “5th Workshop on Explainable
User Models and Personalized Systems (ExUM)”
All submitted papers will be evaluated by at least two members of
the program committee, based on originality, significance,
relevance, and technical quality. Note that the references do not
count toward page limits. Submissions should be single-blinded,
i.e. authors’ names should be included in the submissions. Papers
must be formatted according to the new workflow for ACM
publications.
All accepted papers, except from the (C) submission type - already
published journal papers, will be published by ACM as a joint
volume of Extended UMAP 2023 Proceedings and will be available via
the ACM Digital Library. At least one author of each accepted
paper must register for the particular workshop and present the
paper there.
The templates and instructions are available here:
https://www.acm.org/publications/taps/word-template-workflow
<https://www.acm.org/publications/taps/word-template-workflow>
- LaTeX (use \documentclass[manuscript,review,anonymous]{acmart}
in the sample-authordraft.tex file for single-column) -
https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-primary.zip
<https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-primary.zip>
- Overleaf (use
\documentclass[manuscript,review,anonymous]{acmart} for
single-column) -
https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt
<https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt>
- MS Word:
https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx
<https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx>
================
IMPORTANT DATES
================
* Full paper submission: April 20, 2023 (GMT)
* Paper notification: May 11, 2023 (GMT)
=============
ORGANIZATION
=============
Cataldo Musto - University of Bari, Italy
Amra Delić – University of Sarajevo, Bosnia and Herzegovina
Oana Inel - Zurich University, Switzerland
Marco Polignano - University of Bari, Italy
Amon Rapp – University of Torino, Italy
Giovanni Semeraro - University of Bari, Italy
Juergen Ziegler - University of Duisburg Essen
=============
PROGRAM COMMITTEE (TO BE EXTENDED)
=============
Vito Walter Anelli - Politecnico di Bari
Esma Aimeur - University of Montreal
Francesco Barile - Maastricht University
Pierpaolo Basile - University of Bari
Alejandro Bellogin - Universidad Autonoma de Madrid
Ludovico Boratto - University of Cagliari
Robin Burke - University of Colorado Boulder
Federica Cena - University of Torino
Marco de Gemmis - University of Bari
Bruce Ferwerda - Jonkoping University
Riccardo Guidotti - University of Pisa
Eelco Herder - Utrecht University
Dietmar Jannach - University of Klagenfurt
Kyriaki Kalimeri - ISI Foundation
Styliani Kleanthous - Open University of Cyprus
Bart Knijnenburg - Clemson University
Benedikt Loepp - University of Duisburg
Erasmo Purificato - Otto Von Guericke University Magdeburg
Lucio Davide Spano - University of Cagliari
Alain Starke - University of Amsterdam
----------------------------------------------------------------------------------------
To unsubscribe from CHI-ANNOUNCEMENTS send an email to:
mailto:chi-announcements-unsubscribe-request@listserv.acm.org
<mailto:chi-announcements-unsubscribe-request@listserv.acm.org>
To manage your SIGCHI Mailing lists or read our polices see:
https://sigchi.org/operations/listserv/
<https://sigchi.org/operations/listserv/>
----------------------------------------------------------------------------------------
_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org