BEGIN:VCALENDAR VERSION:2.0 PRODID:https://github.com/derhansen/sf_event_mgt METHOD:PUBLISH BEGIN:VEVENT UID:6886-4940@fg-abis.gi.de CLASS: PUBLIC SUMMARY:ABIS 2024 DESCRIPTION:\n\nWe invite participation in the ABIS 2024 half-day workshop on adaptivity and user modeling which is held on-site in conjunction with t he MuC 2024 conference in Karlsruhe, Germany. The goals of this workshop ar e 1) strengthening the community of researchers (also within the German Ges ellschaft für Informatik) and the HCI section for this important and emergi ng area of research by fostering knowledge exchange and facilitating networ king, 2) providing a platform to present and discuss scientific work on rec ent developments relevant with respect to the topics of the workshop, and 3 ) discussing a research agenda for future work on personalization and adapt ation approaches in these diverse fields. The workshop will be open but we invite submissions in the form of demo papers of 1-2 pages, late-breaking r esults papers of 2-4 pages, and full papers of 4-6 pages in length (excludi ng references), submitted via ConfTool until June 9th, 2024 EXTENDED June 2 3rd, 2024 in two-column ACM format. Papers will be peer-reviewed by at leas t two reviewers. In accordance with the timeline published for MuC 2024, ac ceptance notifications will be sent out in early July, 2024. Camera-ready v ersions will be due July 30th, 2024, at the latest. Accepted workshop paper s will be published in the GI Digital Library. Authors of accepted full pap ers will be invited to orally present their work at the workshop, including discussion with the audience. In a poster and demo session (and during cof fee), authors of accepted demo and late-breaking results papers will be ask ed to present their work. At least one author of each accepted submission m ust attend the workshop and must register for at least one day of the confe rence.\n\nThis year's edition of the ABIS workshop is planned as a half-day on-site event in conjunction with the MuC 2024 conference in Karlsruhe, Ge rmany. The workshop will be split into two parts: The first part of the wor kshop will be devoted to the presentation of scientific work addressing con cepts, ongoing developments, and empirical evaluations within the thematic scope. To engage participants with the broader scope of ABIS research, we p lan to have a keynote speech and possibly a panel discussion. The second pa rt of the workshop will focus on networking and, in particular, the discuss ion of a research agenda. We plan to take and classify notes for this inter active part of the workshop. Next, single topics will be discussed in small er groups in order to characterize important elements, find main opportunit ies, and identify pain points for the agenda for future research, which we will put together afterward and make accessible via the workshop website\n\ nWe welcome participants both from academia and industry. The target audien ce of the workshop are, for instance, HCI practitioners and developers, as well as researchers including (PhD) students.\n\nThe workshop welcomes a ra nge of topics of interest, not necessarily concerned with this year's focus on personalization in CSCW-XR and making sense of sensor data for personal ization purposes, including but not limited to:\n\n Personalization for gr oups: Personalized support for groups can help in our contemporary, inter-c onnected workplaces: Topics include adaptive ad-hoc support for meetings, s uggestions of suitable collaboration partners, and similar approaches (for an overview, see [5]) Serendipity, Bubbles, and Long Tail: Personalization is in latent danger of strictly limiting content to individual preferences , effectively, preventing the chance to find interesting items that are par t of the long tail. What can be done to prevent resulting bubbles? Moving the Needle on the Reality/Virtuality Contiunuum: Individuals differ highly in their preferences regarding the usage of virtual and augmented reality i nteraction. Task requirements and the novelty of the technologies make a ba lanced and successful interaction challenging. Making Sense of Sensor Data : data is necessary for personalization but gathering explicit data, while reliable, is costly in terms of interaction time. How can we make sense of implicit (sensor) data for personalization purposes? Approaches to pattern detection, ML and the like are discussed here Obtaining user data: logging tools, aggregation of data from social networks and other Web 2.0 services , location tracking, sensor networks Modeling user data: collaborative fil tering, cross-application issues, contextualization and disambiguation, use of ontologies and folksonomies Personalization and recommendation: applic ations in social networks, search, online stores, mobile computing, e-learn ing, automotive domain, assisting elderly or handicapped persons, and other application areas Privacy issues: transparency, user control and scrutabi lity Adaptive or intelligent user interfaces: adaptive dialogues, menus or other means of interaction, intelligent agents, feedback mechanisms, inter action with ubiquitous environments, new paradigms in human-computer intera ctions Personalized interaction: approaches to personalize user input or s ystem feedback (involving novel interaction paradigms), related prototypes and studies Adaptive support for learning and teaching: methods and tools for individual support in the knowledge acquisition process, adaptive suppo rt for collaborative learning Evaluation and user studies: laboratory stud ies, empirical studies in the field and analysis of existing corpora of usa ge data \n\n\n\nImportant Dates\n\nSubmissions:  09.06.2024 EXTENDED 23.06. 2024\n\nNotification: Early July 2024\n\nCamera-Ready: 23.07.2024\n\nWorksh op day: 01.09.2024 (Karlsruhe, Germany) \n\n\n\nSUBMISSION\n\nThe ABIS work shop welcomes the following submission types:\n\n Full papers (4-6 pages, all types excluding references) representing mature work with a proper eval uation Late-breaking results and vision papers (2-4 pages) describing earl y promising results including an initial evaluation, or providing future di rections Demos (1-2 pages) representing work in progress (e.g., a prototyp e or system) without an evaluation. \n\nSubmission System\n\nDirect link to ConfTool: https://www.conftool.com/muc2024/index.php?page=submissions\n\nF ormat\n\n Double-column ACM Template available at https://www.acm.org/publ ications/proceedings-template or for Overleaf users directly under https:// www.overleaf.com/latex/templates/association-for-computing-machinery-acm-si g-proceedings-template/bmvfhcdnxfty The review process is single blind, i. e., reviewers can see your names but you cannot see the reviewers' identity . \n\nORGANIZATION COMMITTEE\n\n Thomas Neumayr. University of Applied Sci ences Upper Austria, Hagenberg Enes Yigitbas. Paderborn University, German y Mirjam Augstein. University of Applied Sciences Upper Austria, Hagenberg   Eelco Herder. Utrecht University, Netherlands Laura Stojko. University of the Bundeswehr Munich, Germany Jannis Strecker. University of St. Galle n, Switzerland \n\nPROGRAM\n\nWe are delighted to welcome you in Room 30.28 R220 which you can find here: Campus Map Sued\n\n14:00-14:10 Welcome and I ntroduction \n\n14:10-14:30 Julia Seitz, Alexandra Link & Alexander Maedche  - Towards a Gaze-adaptive Self-view for Video Meeting Systems: A Prototype Demonstrator\n\n14:30-14:50 Jannis Strecker, Simon Mayer & Kenan Bektas -  Personalized Reality: Challenges of Responsible Ubiquitous Personalization\ n\n14:50-15:20 Laura Stojko - A Holistic Approach: Personalizing Large Semi -Public Displays for Intercultural Groups \n\n15:20-15:40 Coffee Break\n\n1 5:40-16:10 Karin Breckner, Thomas Neumayr, Marc Streit & MirjamAugstein - P ersonalized Complementarity in Human-AI Collaboration\n\n16:10-16:40 Shah N oor Khan, Eelco Herder & Diba Kaya - Experiences of Non-Mainstream and Mino rity Users with Music Recommendation Systems\n\n16:40-17:10 Janet Mazur & E nes Yigitbas - Augmented Reality-Assisted Multi-Robot Programming with Coll ision Warning \n\n17:10-17:30 Closing LOCATION:Mensch & Computer 2024 DTSTAMP:20250127T085500Z DTSTART:20240901T120000Z DTEND:20240901T153000Z END:VEVENT END:VCALENDAR