ABIS 2023

Beschreibung

ABIS is an international workshop, organized by the SIG on Adaptivity and User Modeling in Interactive Software Systems of the German Gesellschaft für Informatik. For more than 25 years, the ABIS workshop has been a highly interactive forum for discussing the state of the art in personalization, user modeling, and related areas. The ABIS 2023 edition will have a special emphasis on the topics of personalization and recommendation within the areas of Computer-Supported Cooperative Work (CSCW) and/or Cross-Reality (XR) Interaction. While personalized CSCW deals with technological support of individuals who work organized in groups (Whom should I collaborate with? How can group work be supported during breakdowns?), XR describes the transition between or concurrent usage of multiple systems on the reality-virtuality continuum (In what flavor of reality/virtuality should I complete a current task according to my preferences, task affordances, and interaction capabilities?). To discuss and answer such questions, our workshop aims to bring together researchers and practitioners that are interested in the general personalization and recommendation domains, and/or in this year’s special emphasis on CSCW and XR. Our goal is to identify current issues and future directions of research and foster future development of the discipline and collaborations.

This year, we hold the ABIS workshop at Mensch und Computer (September 3rd, 2023 – Rapperswil, Switzerland).

Introduction

User modeling and adaptive systems deal with creating and maintaining a user model with the aim to adapt interactive systems. User models can be inferred from implicitly observed user behavior or explicitly entered information, such as the user’s profile data, the user’s current location or items that the user browsed, searched, tagged or bought earlier. Applications of personalization include recommendations of items, location-based services, updates on friend activities, interest-based portal sites, educative games and personalized guidance or help.

With 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 momentum in various application domains, the aspects of personalization and recommendation pose new challenges, including privacy problems and questions of user control. Such XR Systems may draw wrong conclusions about a user’s spatial actions, limit functionality due to badly designed personalized menus, or may inadvertently disclose sensitive information to colleagues and friends.

Furthermore, the transition away from classical computing enables more flexible and spontaneous collaboration with others through always-on personal devices. The field of CSCW as a whole has seen rapid changes and established knowledge was challenged by modern workplaces (New Work). However, our experiences in previous years show that technologically-mediated communication and collaboration is still subpar to face-to-face encounters in most situations, which is why better technological support is needed. On many occasions, this support—which can be formative, ad-hoc, as well as summative—should be tailored to both individuals’ and groups’ needs.

Finally, the combination of CSCW and XR Interaction enables new forms of collaboration such as collaboration across the reality-virtuality continuum but also poses new challenges with regards to personalization and recommendation. Important questions are still up to debate and hint at a need for personalization approaches: When to do which task in which reality? How to coordinate and 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 recommendations 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 of wrong adaptation is very high, users may quickly switch to different applications 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 design issue is the explanation of why items are recommended, or which interface elements have been adapted – and how this can be made undone if needed. And how can one encourage users to inspect and adjust their user profiles, collected information, and privacy settings?

Topics

The workshop welcomes a range of topics of interest, not necessarily concerned with this year’s special
emphasis on personalization in CSCW-XR and including but not limited to:

• Personalization for groups: Personalized support for groups can help in our contemporary, inter-connected workplaces: Topics include adaptive ad-hoc support for meetings, suggestion of suitable collaboration partners and similar approaches
• 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 part of the long tail. What can be done to prevent resulting bubbles?
• Making Sense of the Reality/Virtuality Contiunuum: Individuals differ highly 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: logging tools, aggregation of data from social networks and otherWeb 2.0 services, location tracking, sensor networks
• Modeling user data: collaborative filtering, cross-application issues, contextualization and disambiguation, use of ontologies and folksonomies
• Personalization and recommendation: applications in social networks, search, online stores, mobile computing, e-learning, automotive domain, assisting elderly or handicapped persons and other applications areas
• Privacy issues: transparency, user control and scrutability
• Adaptive or intelligent user interfaces: adaptive dialogues, menus or other means of interaction, intelligent agents, feedback mechanisms, interaction with ubiquitous environments, new paradigms in human-computer interactions
• Personalized interaction: approaches to personalize user input or system 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 support for collaborative learning
• Evaluation and user studies: laboratory studies, empirical studies in the field and analysis of existing corpora of usage data

Submission

The ABIS workshop will accept the following submission types:

• Full papers (4-6 pages) representing mature work with a proper evaluation
• Short papers and demos (1-2 pages) representing work in progress and early promising results
• Vision and position papers (1-2 pages) providing future directions; visions may be bold, but should be backed up with relevant literature

Submission Format

Papers should be prepared according to the ACM template used by the main conference, but in the two-column format, and submitted in either German or English language via ConfTool. All submissions will be peer-reviewed by at least two committee members (single-blind, i.e., anonymization is not required). For accepted papers, at least one author must attend the workshop to present the work. Accepted papers will be published in the Mensch und Computer Workshop Proceedings as open access publications available through the GI digital library.

Submission System

Direct link to submit: https://www.conftool.com/muc2023/index.php?page=submissions 

Important Dates

• Submissions:  09.06.2023 (AoE)
• Notification: 07.07.2023
• Camera-Ready: 14.07.2023
• Workshop day: 03.09.2023 (Rapperswil, Switzerland)

Organizers

• Thomas Neumayr
• Enes Yigitbas
• Mirjam Augstein
• Eelco Herder

Program

• 13:00-13:10 Welcome and Introduction
• 13:10-13:45 Keynote Martin Kocur Utilizing Avatars in VR to Make Humans Better
• 13:45-14:05 Paper Presentation I: Personalizing Large Information Radiators Using Emotion Recognition
• 14:05-14:25 Paper Presentation II: Sharing Personalized Mixed Reality Experiences
• 14:25-14:40 Coffee Break
• 14:40-15:10 Paper Presentation III: Transitional Cross Reality Interfaces for Spatially Demanding Search and Collect Tasks
• 15:10-15:30 Coffee Break
• 15:30-16:30 Interactive Part
• 16:30-17:00 Closing