<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande';" class=""><b class="">*** FOURTH CALL FOR PAPERS *** </b></div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande'; min-height: 21px;" class=""><br class=""></div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande';" class="">27th ACM International Conference on User Modeling, Adaptation</div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande';" class="">and Personalization (ACM UMAP 2019)</div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande'; min-height: 21px;" class=""><br class=""></div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande';" class="">“Making Personalization Transparent: Giving control back to the User"</div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande'; min-height: 21px;" class=""><br class=""></div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande';" class="">Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019</div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande'; min-height: 21px;" class=""><br class=""></div><div style="margin: 0px; font-size: 18px; line-height: normal; font-family: 'Lucida Grande';" class=""><a href="https://www.um.org/umap2019/" class="">https://www.um.org/umap2019/</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Abstracts due</span>: January 25, 2019 (mandatory)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Papers due</span>: February 1, 2019</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class=""><b class="">BACKGROUND AND SCOPE</b></span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">ACM UMAP, "User Modeling, Adaptation and Personalization", is the premier</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">international conference for researchers and practitioners working on</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systems that adapt to individual users, to groups of users, and that collect,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">represent, and model user information. ACM UMAP is sponsored by ACM</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">SIGCHI and SIGWEB. The proceedings are published by ACM and will be part</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">of the ACM Digital Library.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">ACM UMAP covers a wide variety of research areas where personalization</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">and adaptation may be applied. This include (but is in no way limited to) a</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">number of domains in which researchers are engendering significant</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">innovations based on advances in user modeling and adaptation,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">recommender systems, adaptive educational systems, intelligent user</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">interfaces, e-commerce, advertising, digital humanities, social networks,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">personalized health, entertainment, and many more. </div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">This year the conference hosts three new tracks, one on privacy and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">fairness, one on personalized music access, and one on personalized health.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class=""><b class="">CONFIRMED INVITED SPEAKERS</b></span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Marios Avraamides, University of Cyprus</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Judith Masthoff, Utrecht University</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Mounia Lalmas-Roelleke, Spotify London</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class=""><b class="">CONFERENCE TRACKS</b></span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Track 1 - Personalized Recommender Systems</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Chairs:</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Marko Tkalcic, Free University of Bozen-Bolzano, <a href="mailto:marko.tkalcic@unibz.it" class="">marko.tkalcic@unibz.it</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Alan Said, University of Skövde, <a href="mailto:alansaid@acm.org" class="">alansaid@acm.org</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Personalized, computer-generated recommendations have become a</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">pervasive feature of today’s online world. The underlying recommender</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systems are designed to help users and providers in a number of ways.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">From a user’s viewpoint, for example, these systems assist consumers in</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">finding relevant things within large item collections. On the other hand,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">from a provider’s perspective, recommenders have also shown to be</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">valuable tools to steer consumer behavior. From a technical perspective,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">the design of such systems requires the careful consideration of various</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">aspects, including the choice of the user modeling approach, the underlying</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">recommendation algorithm, and the user interface. This track aims to provide</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">a forum for researchers and practitioners to discuss open challenges, latest</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">solutions and novel research approaches in the field of recommender</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systems. Besides the above-mentioned technical aspects, works are also</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">particularly welcome that address questions related to the user perception</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">and the business value of recommender systems.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Topics include (but are not limited to):</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Recommendation algorithms</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Recommender and personalization system evaluation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• User modeling and preference elicitation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Users’ perception of recommender systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Business value of recommendation systems and multi-stakeholder</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> environments</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Explanations and trust</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Context-aware recommendation algorithms</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Recommending to groups of users</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Case studies of real-world implementations</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Novel, Psychology-informed User- and Item-modeling</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Track 2 - Adaptive Hypermedia And The Semantic Web</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Chairs</span>:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Liliana Ardissono, University of Torino, <a href="mailto:liliana.ardissono@unito.it" class="">liliana.ardissono@unito.it</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Katrien Verbert, KU Leuven, <a href="mailto:katrien.verbert@cs.kuleuven.be" class="">katrien.verbert@cs.kuleuven.be</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Adaptive hypermedia and adaptive web explore alternatives to the traditional</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">“one-size-fits-all” approach in the development of web and hypermedia</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systems. Adaptive hypermedia and adaptive web systems build a model of</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">the interests, preferences and knowledge of each individual user, and use</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">this model in order to adapt the behavior of hypermedia and web systems to</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">the needs of that user. Semantic web frequently serves as an infrastructure</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">to enable adaptive and personalized Web systems. Semantic web technology</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">targets the use of explicit semantics and metadata to help web systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">perform the desired functionality: this implies the use of linked data from</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">the web, the use of ontologies in models, or the use of metadata in user</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">interfaces, as well as the use of ontologies for information integration. This</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">track aims to provide a forum to researchers to discuss open research</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">problems, solid solutions, latest challenges, novel applications and innovative</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">research approaches in adaptive hypermedia and semantic web.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Topics include (but are not limited to):</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Web user profiles</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adaptive navigation support</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Personalized search</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Web content adaptation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Analytics of web user data</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adaptive web sites and portals</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adaptive books and textbooks</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Social navigation and social search</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Navigation support in continuous media and virtual environments</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Usability engineering for adaptive hypermedia and web systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Novel methodologies for evaluating adaptive hypermedia and web systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Semantic Web technologies for web personalization</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Ontology-based data access and integration/exchange on the adaptive web</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Ontology engineering and ontology patterns for the adaptive web</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Ontology-based user models</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Semantic social network mining, analysis, representation, and management</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Crowdsourcing semantics; methods, dynamics, and challenges</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Semantic Web and Linked Data for adaptation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Track 3 - Intelligent User Interfaces</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Chairs</span>:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Li Chen, Hong Kong Baptist University, <a href="mailto:lichen@comp.hkbu.edu.hk" class="">lichen@comp.hkbu.edu.hk</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Jingtao Wang, Google, <a href="mailto:jingtaow@acm.org" class="">jingtaow@acm.org</a> </div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Intelligent User Interfaces aim to improve the interaction between computer</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systems and human users by means of Artificial Intelligence. The systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">support and complement different types of abilities that are normally</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">unavailable in the context of human-only cognition. Previous work has found</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">that humans do not always make the best possible decisions when working</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">together with computer systems. By designing and deploying improved forms</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">of support for interactive collaboration between human decision makers and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systems, we can enable decision making processes that better leverage the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">strengths of both collaborators. More generally this research track can be</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">characterized by exploring how to make the interaction between computers</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">and people smarter and more productive, which may leverage solutions from</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">human-computer interaction, data mining, natural language processing,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">information visualization, and knowledge representation and reasoning.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Topics include (but are not limited to):</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adaptive personal virtual assistants (e.g., interaction with robots)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adapting natural interaction (e.g., natural language, speech, gesture)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Intelligent user interfaces based on sensor data (UIs for cars, fridges, etc.)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Multi-modal interfaces (speech, gestures, eye gaze, face, physiological info, etc.)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Intelligent wearable and mobile interfaces</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Smart environments and tangible computing</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Transparency and control of decision support systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> (e.g., semi-autonomous systems)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Explainable intelligent user interfaces</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Affective and aesthetic interfaces</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Tailored persuasion and argumentation interfaces</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Tailored decision support (e.g., over- and under-reliance in uncertain</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> domains)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adaptive information visualization</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Scalability of intelligent user interfaces to access huge datasets</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• User-centric studies of interactions with intelligent user interfaces</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Novel datasets and use cases for intelligent user interfaces</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Evaluations of intelligent user interfaces</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Track 4 - Personalized Social Web</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Chairs</span>:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Ilaria Torre, University of Genova, <a href="mailto:ilaria.torre@unige.it" class="">ilaria.torre@unige.it</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Osnat Mokryn, <a href="mailto:omokryn@univ.haifa.ac.il" class="">omokryn@univ.haifa.ac.il</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">The social web is continuously growing and social platforms are a</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">fundamental part of our life. Mediated communication is becoming the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">primary form of communication for young people, and adults follow in</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">increasing numbers. Online communication is increasingly enriched by the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">use of memes, pictures, audio and video, though language (textual and oral)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">remains a fundamental tool with which people interact, convey their opinions,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">construct and determine their social identity. Lifelogging data (e.g., health,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">fitness, food) is growing as well on the social web. This type of personal</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">information source, gathered for private use through personal devices, is now</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">often shared in online communities. These trends open new challenges for</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">research: how to harness the power of collective intelligence and quantified</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">self data in online social platforms to identify social identities, how to exploit</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">continuous feedback threads, and how to improve the individual user</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">experience on the social web. </div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">We invite original submissions addressing all aspects of personalization,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">user models building and personal experience in online social systems.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Topics include (but are not limited to):</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Personalization of the web experience in social systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adaptations based on personality, society, and culture</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Personalization algorithms and protocols inspired by human societies</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Social recommendation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Identifying social identities in social media</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Social and crowd-generated data for adaptation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Personalized information retrieval</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Exploiting quantified self data on the social web of things</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Data-driven approaches for personalization</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Modeling individuals, groups, and communities</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Collective intelligence and experience mining</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Pattern and behaviour discovery in social network analysis</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Opinion mining for user modeling</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Sentiment analysis</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Topic modeling for online conversations and short texts</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Privacy, perceived security, and trust in social systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Ethical issues involved in studying the social web</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• User awareness and control</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Evaluation methodologies for the social web</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Track 5 - Technology-Enhanced Adaptive Learning</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Chairs</span>:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Jesús G. Boticario, UNED, <a href="mailto:jgb@dia.uned.es" class="">jgb@dia.uned.es</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Inge Molenaar, Radboud University, <a href="mailto:i.molenaar@pwo.ru.nl" class="">i.molenaar@pwo.ru.nl</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">At large there is an on-going “fusion” between humans and technological</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systems. The ongoing integration of devices into our daily lives furthers the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">integration of technology in human learning. With technology increasingly</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">gaining more data and intelligence, a new era of technology-enhanced</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">adaptive learning is emerging. Consequently, the interactions between</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">learners, teachers and technology are becoming increasingly complex.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Learning is a positioned as a complex human process that involves cognitive,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">metacognitive, motivational, affective and psychomotor aspects which</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">interact with the learning context. Smart technological solutions are</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">increasingly able to identify and model the learner needs on these five</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">aspects and accordingly provide personalized support that can improve the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">effectiveness, efficiency and satisfaction of learning experiences.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Current research in artificial intelligence combined with data science and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">learning analytics bring new opportunities to recognize, and effectively</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">support individual learners’ needs and orchestrate collaborate and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">classroom learning with intelligent learning solutions, and augment teachers</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">in blended learning situations. The aim of this track is to foreground the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systematic complexity of human learning and use systematic analytic</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> approaches to measure, diagnose and support human learning with</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">technologies. This covers not only formal educational settings, but also</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">lifelong learning requirements (including workplace training) as well as the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">acquisition of skills informal learning settings (e.g., in daily activities, serious</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">games, sports, healthcare, wellbeing, etc.).</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">To address the wide spectrum of modeling issues and challenges that can be</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">raised, contributions from various research areas are welcome. Therefore,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">this track invites researchers, developers, and practitioners from various</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">disciplines to present their innovative adaptive learning solutions, share</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">acquired experience, and discuss the main modeling challenges for</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">technology enhanced adaptive learning.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Topics include (but are not limited to):</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Domain, learner, teacher and context modeling</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Modeling cognitive, metacognitive, motivational, affective and psychomotor</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> aspects of learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Diagnosis of learner needs and calibration of support and feedback</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> Adaptive and personalized support for learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Dealing with ethical issues involved in detecting and modeling a wider</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> range of information sources (e.g., information from novel sensing</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> devices, ambient intelligent features) that may affect learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Management of large, open, and public datasets for educational data mining</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Agent-based learning environments and virtual pedagogical agents</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Open corpus personalized learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Collaborative and group learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adaptive technologies to orchestrated classroom Learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Personalized teachers awareness and support tools</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Multimodal learning analytics to personalize learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• UMAP aspects in specific learning solutions: educational recommender</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> systems, intelligent tutoring systems, serious games, personal learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> environments, MOOCs</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Wearable technologies and augmented reality in adaptive personalized</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Processing collected data for UMAP: educational data mining, learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> analytics, big data, deep learning.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Semantic web and ontologies for e-learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Interoperability, portability, and scalability issues</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Case studies in real-world educational settings</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• New methodologies to develop user-centered highly personalized learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> solutions</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Track 6 - Privacy And Fairness</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Chairs</span>:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Bart Knijnenburg, Clemson University, <a href="mailto:bartk@clemson.edu" class="">bartk@clemson.edu</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Esma Aimeur, University of Montreal, <a href="mailto:aimeur@iro.umontreal.ca" class="">aimeur@iro.umontreal.ca</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Adaptive systems researchers and developers have a social responsibility to</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">care about their users. This involves building, maintaining, evaluating, and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">studying adaptive systems that are fair, transparent, and protect users'</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">privacy. We invite papers that study, in the context of UMAP, the topics of</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">privacy (as well as innovative means to resolve privacy problems through</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">algorithms, interfaces, or other technical or non-technical means), fairness</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">(covering the spectrum from algorithmic fairness to social implications of</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">adaptive systems), and transparency (as a concept of system usability as</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">well as a means to resolve problems with privacy and fairness). Beyond this</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">we encourage authors to submit to this track any work that ascribes to or</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">advances the general idea of "adaptive systems that care”.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><b class="">Privacy topics</b>:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Analysis of privacy implications of user modeling</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Privacy compliance</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Algorithmic solutions to privacy</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Architectural solutions to privacy</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Interactive solutions to privacy</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Usable privacy for adaptive systems</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• User perceptions of privacy in UMAP applications</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Studies of users’ privacy-related behaviors in UMAP applications</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Descriptions or evaluations of privacy-settings user interfaces</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Privacy prediction / personalization</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• User-tailored approaches to privacy</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Privacy education for user modeling</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Modeling of data protection and privacy requirements</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Economics of privacy and personal data</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Measuring privacy</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><b class="">Fairness topics:</b></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Ethical considerations for user modeling</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• UMAP applications for underrepresented groups</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Cultural differences (e.g. culture-aware user modeling)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Bias and discrimination in user modeling</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Imbalance in meeting the needs of different groups of users</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Balancing needs of users versus system owners</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Ethics of explore/exploit strategies or A/B testing</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• ‘Filter bubble’ or ‘balkanization’ effects</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Enhancing/embracing diversity in user modeling</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Algorithmic methods for increasing fairness</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• User perceptions of fairness</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Measuring fairness</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><b class="">Transparency topics:</b></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• User perceptions of transparency</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Transparent algorithms</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Interface innovations that increase transparency</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Explanations for transparency</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Visualizations for transparency</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adaptive systems for self-actualization</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• (User-centric) evaluations of methods that increase transparency</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Measuring transparency</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Track 7 - Personalized Music Access</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Chairs</span>:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Markus Schedl, University of Linz, <a href="mailto:markus.schedl@jku.at" class="">markus.schedl@jku.at</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Nava Tintarev, TU Delft, <a href="mailto:n.tintarev@tudelft.nl" class="">n.tintarev@tudelft.nl</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Music access systems (e.g., search, retrieval, and recommendation systems)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">have experienced a boom during the past decade due to the availability of</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">huge music catalogs to users, anywhere and anytime. These systems record</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">information on user behavior in terms of actions on music items, such as</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">play, skip, or playlist creation and modification. As a result, an abundance of</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">user and usage data has been collected and is available to companies and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">academics, allowing for user profiling and to create and improve personalized</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">music access. This track addresses unsolved challenges in this area relating</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">to user understanding and modeling, personalization in recommendation and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">retrieval systems, modeling usage context, and adapting interactive</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">intelligent music interfaces. This track aims to provide a forum for</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">researchers and practitioners for the latest research on? user modeling and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">personalization for finding, making, and interacting with music.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Topics include (but are not limited to):</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Personalized music preference elicitation and preference learning</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Psychological modeling of music listeners (e.g., personality, emotion, etc.)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Subjective perceptions of music (e.g., similarity, mood, tempo) social and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> cultural aspects of listening behavior (e.g., for group recommenders)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Applications for personalized music consumption and creation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Personalized playlist generation and continuation (e.g., sequences and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> transitions)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Personalized music interaction and interface paradigms (e.g., visualization,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> VR)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Explainability, transparency, and fairness in personalized music</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Systems user-centric performance measures (e.g., diversity, novelty,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> serendipity, etc.)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Datasets (including benchmarks) for personalizing music retrieval and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""> recommendation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Track 8 - Personalized Health</span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Chairs</span>:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Christoph Trattner, University of Bergen, <a href="mailto:trattner.christoph@gmail.com" class="">trattner.christoph@gmail.com</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">David Elsweiler, University of Regensburg, <a href="mailto:david@elsweiler.co.uk" class="">david@elsweiler.co.uk</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Growing health issues and rising treatment costs mean that technological</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">systems are increasingly important for global health. Personalised systems,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">tailored to the needs and behaviours of individual patients, are one of the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">promising approaches to health promotion by encouraging lifestyle change,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">managing treatment programmes and providing doctors and other</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">healthcare providers with detailed individualized feedback. The challenges to</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">developing such systems, which model user needs and preferences, as well as</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">appropriate medical knowledge to provide assistance and recommendations</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">are plentiful. The diverse technologies which could potentially feature in</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">solutions are equally vast, ranging from AI systems to sensors, from mobile</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">computing, augmented reality and visualization, to mining the web or other</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">data streams to learn about health issues and user behaviour. In this track we</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">invite scholars working in these or related areas to contribute to the discourse</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">on how technology can promote health. This track aims to provide a forum to</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">researchers to discuss open research problems, solid solutions, latest</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">challenges, novel applications and innovative research approaches and in</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">doing so to strengthen the community of researchers working on</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Personalized Health and attract representatives from from diverse scholarly</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">backgrounds ranging from computer and information science to public</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">health, epidemiology, psychology, medicine, nutrition and fitness.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Topics include (but are not limited to):</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Algorithms and Recommendation Strategies to increase health</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Mobile health</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Quantified self</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Applied data analytics and modeling for health</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Health risk modeling and forecasting</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Systems for Preventative Measures</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Medical Evaluation Techniques</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Domain Knowledge Representation</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Behavioral Interventions: Persuasion/Nudging/Behavioral Change</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• HCI, Interfaces and Visualisations for health</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Regulations and Standards</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Human/ Expert-in-the-Loop</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Gamification and Serious Games</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Privacy, Trust, Ethics</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Datasets</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class=""><b class="">SUBMISSION AND REVIEW PROCESS</b></span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Papers should be submitted through EasyChair:</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><a href="https://easychair.org/conferences/?conf=acmumap2019" class="">https://easychair.org/conferences/?conf=acmumap2019</a></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">The ACM User Modeling, Adaptation, and Personalization (ACM UMAP) 2019</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Conference will include high quality peer-reviewed papers related to the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">above key areas. Maintaining the high quality and impact of the ACM UMAP</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">series, each paper will have three reviews by program committee members</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">and a meta-review presenting the reviewers’ consensual view; the review</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">process will be coordinated by the program chairs in collaboration with the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">corresponding area chairs.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Long (8 pages + references) and Short (4 pages + references) papers in ACM</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">style, peer reviewed, original, and principled research papers addressing both</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">the theory and practice of UMAP and papers showcasing innovative use of</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">UMAP and exploring the benefits and challenges of applying UMAP</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">technology in real-life applications and contexts are welcome.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Long papers should present original reports of substantive new research</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">techniques, findings, and applications of UMAP. They should place the work</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">within the field and clearly indicate innovative aspects. Research procedures</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">and technical methods should be presented in sufficient detail to ensure</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">scrutiny and reproducibility. Results should be clearly communicated and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">implications of the contributions/findings for UMAP and beyond should be</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">explicitly discussed.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Short papers should present original and highly promising research or</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">applications. Merit will be assessed in terms of originality and importance</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">rather than maturity, extensive technical validation, and user studies.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">For both long papers and short paper submissions, it is not required to</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">anonymize the manuscripts, i.e., ACM UMAP will apply a single-blind</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">reviewing process.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Separation of long and short papers will be strictly enforced so papers will</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">not compete across categories, but only within each category. Papers that</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">receive high scores and are considered promising by reviewers, but didn’t</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">make the acceptance cut, will be directed to the poster session of the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">conference and will be invited to be resubmitted as posters.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Papers must be formatted using the ACM SIG Standard (SIGCONF) proceedings</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">template: <a href="https://www.acm.org/publications/proceedings-template" class="">https://www.acm.org/publications/proceedings-template</a> .</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Please note that ACM changed its templates at the start of 2017, so please</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">ensure that you use the new template and do not reuse an old template.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">All accepted papers will be published by ACM and will be available via the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">ACM Digital Library. At least one author of each accepted paper must register</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">for the conference and present the paper there.</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">AUTHORS TAKE NOTE: The official publication date is the date the</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">proceedings are made available in the ACM Digital Library. This date may be</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">up to two weeks prior to the first day of your conference. The official</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">publication date affects the deadline for any patent filings related to</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">published work. (For those rare conferences whose proceedings are</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">published in the ACM Digital Library after the conference is over, the official</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">publication date remains the first day of the conference.)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class=""><b class="">IMPORTANT DATES</b></span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Abstract: January 25, 2019 (mandatory)</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Full paper: February 1, 2019</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Notification: March 11, 2019</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Camera-ready: April 3, 2019</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Adjunct proceedings, camera ready: April 15, 2018</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class="">Note</span>: The submissions times are 11:59pm AoE time (Anywhere on Earth).</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class=""><b class="">GENERAL CHAIRS</b></span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• George A. Papadopoulos, University of Cyprus, Cyprus</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• George Samaras, University of Cyprus, Cyprus</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">• Stephan Weibelzahl, PFH Private University of Applied Sciences,</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Göttingen, Germany </div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class=""><span style="text-decoration: underline" class=""><b class="">RELATED EVENTS</b></span></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande'; min-height: 18px;" class=""><br class=""></div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Separate calls will be later sent for Workshops and Tutorials, Doctoral</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Consortium, Demos, Late Breaking Results and Theory, Opinion and</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">Reflection works, as they have different deadlines and submission</div><div style="margin: 0px; font-size: 16px; line-height: normal; font-family: 'Lucida Grande';" class="">requirements.</div><div class=""><br class=""></div></body></html>