- From: Marco Polignano <marco.polignano@uniba.it>
- Date: Tue, 28 Feb 2023 17:55:47 +0100
- To: semantic-web@w3.org
*** Apologies for cross postings *** *ExUM Workshop @UMAP 2023 - 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) - 31st ACM Conference on User Modeling, Adaptation and Personalization, June 26-29 | Limassol (Cyprus) Twitter: https://twitter.com/ExUM_Workshop Web: http://www.di.uniba.it/~swap/exum For any information: cataldo.musto@uniba.it, 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 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 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 - 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 - Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column) - 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 ================ 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
Received on Tuesday, 28 February 2023 16:56:08 UTC