BEGIN:VCALENDAR VERSION:2.0 PRODID:https://github.com/derhansen/sf_event_mgt METHOD:PUBLISH BEGIN:VEVENT UID:5634-4940@fg-abis.gi.de CLASS: PUBLIC SUMMARY:ABIS 2023 DESCRIPTION:ABIS is an international workshop, organized by the SIG on Adap tivity and User Modeling in Interactive Software Systems of the German Gese llschaft für Informatik. For more than 25 years, the ABIS workshop has been a highly interactive forum for discussing the state of the art in personal ization, user modeling, and related areas. The ABIS 2023 edition will have a special emphasis on the topics of personalization and recommendation with in the areas of Computer-Supported Cooperative Work (CSCW) and/or Cross-Rea lity (XR) Interaction. While personalized CSCW deals with technological sup port of individuals who work organized in groups (Whom should I collaborate with? How can group work be supported during breakdowns?), XR describes th e transition between or concurrent usage of multiple systems on the reality -virtuality continuum (In what flavor of reality/virtuality should I comple te a current task according to my preferences, task affordances, and intera ction capabilities?). To discuss and answer such questions, our workshop ai ms to bring together researchers and practitioners that are interested in t he general personalization and recommendation domains, and/or in this year’ s special emphasis on CSCW and XR. Our goal is to identify current issues a nd future directions of research and foster future development of the disci pline and collaborations.\n\nThis year, we hold the ABIS workshop at Mensch und Computer (September 3rd, 2023 – Rapperswil, Switzerland).\n\nIntroduct ion\n\nUser modeling and adaptive systems deal with creating and maintainin g a user model with the aim to adapt interactive systems. User models can b e inferred from implicitly observed user behavior or explicitly entered inf ormation, such as the user’s profile data, the user’s current location or i tems that the user browsed, searched, tagged or bought earlier. Application s of personalization include recommendations of items, location-based servi ces, updates on friend activities, interest-based portal sites, educative g ames and personalized guidance or help.\n\nWith the ongoing transition from classical computing devices to ubiquitous environments, the need for more and better user modeling and personalization to adapt to changing contexts in various situations is even more important. Especially for Augmented (AR) and Virtual Reality (VR)-equipped devices that are currently gaining momen tum in various application domains, the aspects of personalization and reco mmendation pose new challenges, including privacy problems and questions of user control. Such XR Systems may draw wrong conclusions about a user’s sp atial actions, limit functionality due to badly designed personalized menus , or may inadvertently disclose sensitive information to colleagues and fri ends.\n\nFurthermore, the transition away from classical computing enables more flexible and spontaneous collaboration with others through always-on p ersonal devices. The field of CSCW as a whole has seen rapid changes and es tablished knowledge was challenged by modern workplaces (New Work). However , our experiences in previous years show that technologically-mediated comm unication and collaboration is still subpar to face-to-face encounters in m ost situations, which is why better technological support is needed. On man y occasions, this support—which can be formative, ad-hoc, as well as summat ive—should be tailored to both individuals’ and groups’ needs.\n\nFinally, the combination of CSCW and XR Interaction enables new forms of collaborati on such as collaboration across the reality-virtuality continuum but also p oses new challenges with regards to personalization and recommendation. Imp ortant questions are still up to debate and hint at a need for personalizat ion approaches: When to do which task in which reality? How to coordinate a nd personalize the tasks optimally across realities and spaces? In addition , the user experience is becoming more important in a mobile and connected world. It may not be only important to deliver the absolute best recommenda tions but to have fast and “good enough” recommendations. On the one hand, there is a battle for the attention of users. On the other hand, the cost o f wrong adaptation is very high, users may quickly switch to different appl ications and services if he or she is getting annoyed. Personalization does not need to be limited to generating lists of recommendations: adaptations such as personalized maps, tailored menus, link annotation, and scripting potentially have a greater effect on the user experience. A particular desi gn issue is the explanation of why items are recommended, or which interfac e elements have been adapted – and how this can be made undone if needed. A nd how can one encourage users to inspect and adjust their user profiles, c ollected information, and privacy settings?\n\nTopics\n\nThe workshop welco mes a range of topics of interest, not necessarily concerned with this year ’s special emphasis on personalization in CSCW-XR and including but not lim ited to:\n\n Personalization for groups: Personalized support for groups c an help in our contemporary, inter-connected workplaces: Topics include ada ptive ad-hoc support for meetings, suggestion of suitable collaboration par tners and similar approaches Serendipity, Bubbles, and Long Tail: Personal ization is in latent danger of strictly limiting content to individual pref erences, effectively, preventing the chance to find interesting items that are part of the long tail. What can be done to prevent resulting bubbles? Making Sense of the Reality/Virtuality Contiunuum: Individuals differ highl y in their preferences regarding the usage of virtual and augmented reality interaction. Task requirements and the novelty of the technologies make a balanced and successful interaction challenging.  Obtaining user data: log ging tools, aggregation of data from social networks and otherWeb 2.0 servi ces, location tracking, sensor networks Modeling user data: collaborative filtering, cross-application issues, contextualization and disambiguation, use of ontologies and folksonomies Personalization and recommendation: app lications in social networks, search, online stores, mobile computing, e-le arning, automotive domain, assisting elderly or handicapped persons and oth er applications areas Privacy issues: transparency, user control and scrut ability Adaptive or intelligent user interfaces: adaptive dialogues, menus or other means of interaction, intelligent agents, feedback mechanisms, in teraction with ubiquitous environments, new paradigms in human-computer int eractions Personalized interaction: approaches to personalize user input o r system feedback (involving novel interaction paradigms), related prototyp es and studies Adaptive support for learning and teaching: methods and too ls for individual support in the knowledge acquisition process, adaptive su pport for collaborative learning Evaluation and user studies: laboratory s tudies, empirical studies in the field and analysis of existing corpora of usage data \n\nSubmission\n\nThe ABIS workshop will accept the following su bmission types:\n\n Full papers (4-6 pages) representing mature work with a proper evaluation Short papers and demos (1-2 pages) representing work i n progress and early promising results Vision and position papers (1-2 pag es) providing future directions; visions may be bold, but should be backed up with relevant literature \n\nSubmission Format\n\nPapers should be prepa red according to the ACM template used by the main conference, but in the t wo-column format, and submitted in either German or English language via Co nfTool. All submissions will be peer-reviewed by at least two committee mem bers (single-blind, i.e., anonymization is not required). For accepted pape rs, at least one author must attend the workshop to present the work. Accep ted papers will be published in the Mensch und Computer Workshop Proceeding s as open access publications available through the GI digital library.\n\n Submission System\n\nDirect link to submit: https://www.conftool.com/muc202 3/index.php?page=submissions \n\nImportant Dates\n\n Submissions:  09.06.2 023 (AoE) Notification: 07.07.2023 Camera-Ready: 14.07.2023 Workshop day : 03.09.2023 (Rapperswil, Switzerland) \n\nOrganizers\n\n Thomas Neumayr Enes Yigitbas Mirjam Augstein Eelco Herder \n\nProgram \n\n 13:00-13:10 Welcome and Introduction 13:10-13:45 Keynote Martin Kocur Utilizing Avatar s in VR to Make Humans Better 13:45-14:05 Paper Presentation I: Personaliz ing Large Information Radiators Using Emotion Recognition 14:05-14:25 Pape r Presentation II: Sharing Personalized Mixed Reality Experiences 14:25-14 :40 Coffee Break 14:40-15:10 Paper Presentation III: Transitional Cross Re ality Interfaces for Spatially Demanding Search and Collect Tasks 15:10-1 5:30 Coffee Break 15:30-16:30 Interactive Part 16:30-17:00 Closing \n\n\n \n LOCATION:ABIS 2023 DTSTAMP:20240322T091359Z DTSTART:20230903T110000Z DTEND:20230903T150000Z END:VEVENT END:VCALENDAR