BEGIN:VCALENDAR VERSION:2.0 PRODID:https://github.com/derhansen/sf_event_mgt METHOD:PUBLISH BEGIN:VEVENT UID:7652-4940@fg-abis.gi.de CLASS: PUBLIC SUMMARY:ABIS 2026 DESCRIPTION:ABIS is an international workshop organized by the SIG on Adapt ivity and User Modeling in Interactive Software Systems of the German Gesel lschaft für Informatik. For more than 30 years, the ABIS workshop has serve d as a highly interactive forum for discussing the state of the art in pers onalization, user modeling, and related areas. The 2026 edition will focus on personalization and recommendations, with particular attention to adapta tion on the Web and its societal effects. To explore and discuss the effect s of the adaptive Web on society, the workshop aims to bring together resea rchers and practitioners to share insights and discuss emerging findings an d future developments. Our goal is to identify current trends, newly observ ed effects, and future research directions, with the overarching aim of fos tering the development of this discipline and encouraging new collaboration s.\n\nWorkshop Mode and Activities\n\nThis workshop focuses strongly on the societal effects of adaptive (web) technologies, which provides a more pre cise scope for potential contributions than the workshops conducted by ABIS before. We aim to attract researchers and practitioners from the WebSci co mmunity and gather their insights and knowledge in this context, which is h ighly important and interesting to us. This year's ABIS workshop is planned as a half-day, interactive on-site event in conjunction with the WebSci 20 26 conference in Braunschweig, Germany. The workshop will be split into two parts: The first part of the workshop will be devoted to the presentation of scientific work addressing concepts, ongoing developments, and empirical evaluations within the thematic scope. The second part of the workshop wil l focus on networking and, in particular, discussing a research agenda base d on the scientific contributions. We plan to gather key insights and discu ss them in small groups to identify trends and potential future directions or collaborations. This will be summarized and made accessible via this ABI S website.\n\nTopics\n\nThe workshop welcomes a range of topics of interest  concerning the adaptive Web and its effects on society, including but not limited to:\n\n Personalization and Recommendation: Personalization applic ations exist across various domains, from e-learning to online retail, auto motive domains, assistance for the elderly or handicapped, or mobile comput ing scenarios. What are suitable use cases for meaningful personalization? What uniform patterns are visible across domains? AI-fueled Personalizatio n: By leveraging the large amounts of available data, AI has the potential to enhance existing personalization approaches across various domains. What can recent advances in AI (e.g., LLMs) bring to the table when it comes to personalization? What risks does AI bring to personalization efforts and, in combination, to society? Moving the Needle on the Reality/Virtuality Co ntinuum: Emerging technologies such as AI tools, AR, VR, and XR increasingl y blur the lines between online and offline experiences. Personalization ma y help users navigate this continuum and support more effective joint inter actions. This raises the question of what societal risks or challenges emer ge when hybrid environments become increasingly personalized, and how these developments may change social dynamics. Personalization for Groups: Pers onalized support for groups can help in our contemporary, inter-connected w orkplaces: topics include adaptive ad-hoc support for meetings, suggestions of suitable collaboration partners, and similar approaches (for an overvie w, see [6]) Adaptive Support for Learning and Teaching: Tailored learning experiences can benefit knowledge acquisition and learning. However, adapti ve supports should account for a range of factors, including individual lea rning styles and collaborative environments. What are the methods and tools for individual and collaborative learning support, and how do they affect the users? Serendipity, Bubbles, and Long Tail: Personalization is in late nt danger of strictly limiting content to individual preferences, effective ly preventing the chance to find interesting items that are part of the lon g tail. What can be done to avoid the resulting bubbles? Privacy Issues: W ith advances in personalization, users' concerns over transparency, user co ntrol, and data scrutability become even more important to address. How can personalization systems provide transparency and ensure ethical, privacy-c ompliant use of the data without overwhelming users with complexity? \n\nCa ll for Participation\n\nWe invite participation in the ABIS 2026 half-day w orkshop on adaptivity and user modeling, which is held on-site in conjuncti on with the WebSci 2026 conference in Braunschweig, Germany. The target aud ience of the workshop is, for instance, Web Science and HCI practitioners a nd developers, as well as researchers, including PhD students. The goals of this workshop are 1) strengthening the community of researchers (also with in the German Gesellschaft für Informatik) and the HCI section for this imp ortant and emerging area of research by fostering knowledge exchange and fa cilitating networking, 2) providing a platform to present and discuss scien tific work on recent developments relevant with respect to the topics of th e workshop, and 3) discussing a research agenda for future work on managing risks concerning personalization and adaptation approaches in these divers e fields.\n\nThe workshop will be open to everyone interested; no submissio n is required. However, we encourage non-anonymous submissions via EasyChai r in the ACM double-column format. We accept the following submission types :\n\n Demo papers: 1-2 pages, excluding references Late-breaking work: 2- 4 pages, excluding references Full papers: 4-6 pages, excluding references \n\nPapers will be peer-reviewed by at least two reviewers (single-blind). \n\nAccepted workshop papers will be published in the WebSci proceedings, a s a companion volume in the ACM Digital Library. Authors of accepted demos, late-breaking work, and full papers will be invited to present their work orally at the workshop, including a discussion with the audience. At least one author of each accepted submission must attend the workshop and must re gister for at least one day of the conference. Please consider: Authors of institutes that are not part of ACM Open would have to pay an Article Proce ssing Charge (except for posters and other 2-pagers).\n\nImportant dates\n\ n 17 March:  24 March: submission deadline for all paper types 31 March: author notifications 14 April: camera-ready deadline (this is a strict dea dline) 26 May: workshop \n\nProgram\n\nWe welcome all interested participa nts. Join us in discussing emerging societal effects, asking questions, and sharing perspectives throughout the workshop.\n\n Start  End  Topic  09:00  09:15  Welcome & Preparation  09:15 09:30 Exploring the Limits of Predicting User Watching Behavior with Short-Form Videos on T ikTok Carolina Coimbra Vieira, Sepehr Mousavi, Oshrat Ayalon, Abhisek Da sh, Krishna Gummadi and Savvas Zannettou  09:30  09:45  LLM-Mediated XAI Explanations: A Decision Co-Pilot for Fast and Calibrated Judgments on Potential Misinformation  Valentin Grim m, Eelco Herder, Jessica Rubart and Carsten Röcker 09:45  10:00  Structuring the Last Mile with ReActV: Tool-Au gmented Delivery Planning with Verification  Pushkal Agarwal, Joyjit Cha tterjee, Akash Marar and David Gamtenadze 10:00  10:30  Break  10:30  10:45  Reflection I - Summary of effects on society  10:45  11:00  Detecting Persona-Generated AI Text with Inter pretable Linguistic Features  Elena Slavova, Angelina Parfenova and Juer gen Pfeffer  11:00  11:15  Tracking Childhoods: Inter-generational Perspectives on Parent-Child Relationships a nd the Ethics of Digital Monitoring  Eelco Herder and Ana Cîrnu   11:15 11:25 Literacy Level based Nutrition Education in Vi rtual Reality  Dennis Wüppelmann, Sarah Claudia Krings, Carina Micheel a nd Corinna Ostwinkel  11:25  11:40  Evaluating LLM-Based Bias Detection on Wikipedia: A Prompt Strategy Analysi s Using NPOV Guidelines  Ashik Ahamed, Max Wang and Jeanna Matthews  11:40  11:55  Reflection II - Summary o f effects on society  11:55  12:00  Wrap Up & Closing  \n\n \n\nOrganizers\n\nThe 2026 edition of the workshop will be organized by the following members of the SIG ABIS:\n\n L aura Stojko is a PostDoc at the Chair of Software Security at the Universit y of the Bundeswehr Munich in Germany. Her research focuses on security and privacy in personalized systems and on personalizing security and privacy measures. Eelco Herder is an associate professor in the Interaction Group at Utrecht University, the Netherlands. His research focuses on how users a nd current (commercial) recommender systems respond to one another, and whi ch mechanisms help to encourage users to actively choose what they want ins tead of passively following suggestions. Jannis Strecker-Bischoff is a PhD student in Computer Science at the University of St. Gallen in Switzerland . He studies how ubiquitous personalization systems can make people’s inter actions with their environment more efficient, safer and more inclusive, an d how these systems can be built in a responsible and societally beneficial way. Julia Seitz is a post-doctoral researcher at Karlsruhe Institute of Technology (KIT), Germany. Her research focuses on how biosignals can be us ed to detect negative user states in video meetings and how adaptive suppor t interventions can be designed based on these biosignals. Thomas Neumayr is a PostDoc-level assistant professor with the University of Applied Scien ces Upper Austria. One of his main research interests is the intersection b etween personalization, HCI, and CSCW. Enes Yigitbas is competence area ma nager for "Human-Centered Digitality" at Software Innovation Lab of Paderbo rn University, Germany. His main research interests are at the intersection of HCI, Software Engineering, and Machine Learning, especially focusing on the design, development, and evaluation of XR-based learning and assistanc e systems Mirjam Augstein is a professor for Personalized and Collaborativ e Systems at the University of Applied Sciences Upper Austria. Her main res earch interests are related to personalized and collaborative interaction, including adaptive support for individuals and teams in interactive environ ments. LOCATION:ACM Web Science Conference 2026 DTSTAMP:20260522T080433Z DTSTART:20260526T060000Z DTEND:20260526T161900Z END:VEVENT END:VCALENDAR