17th Workshop on Adaptivity and User Modeling in Interactive Systems, 21.-23.09.2009
ABIS 2009: User Modeling and Adaptivity on the Verge of Web 3.0 and Ubiquitous Computing
In 2009 the ABIS workshop will focus on exploiting ideas from the emerging fields of Web 3.0 and Ubiquitous Computing in order to come to even more sophisticated approaches for building user- and context models as well as improved mechanisms for adaptations and recommendations.
Thus, we tie in with last year's ABIS workshop which focused on the application of Web 2.0/Social Computing technologies and go the next logical steps.
We are looking for research and industry papers covering theoretical foundations (user- and context modeling, and personalization), practical applications (focusing on adaptations and recommendations), case- and user studies, evaluations, methodological concepts (e.g. system designs) as well as social and cultural aspects.
In our definition of the term Web 3.0 we regard it as the combination of Web 2.0 technologies discussed during last year’s workshop and newer technologies adding more semantics to the information available, thus, most importantly Semantic Web technologies. Ubiquitous Computing additionally envisions a world with hundreds of interconnected computing devices part of users' everyday life.
Both technological shifts force us to rethink our design of user interfaces, displays, operating systems, networks, wireless communication, and, of course, adaptive systems.
Although there exist also slightly varying other definitions, most experts have already agreed on the main aim: enabling universal information access, which considers the delivery of content and services under different usage environments. Content should be accessible by any user from anywhere at any time on any device over heterogeneous networks. Information should be reorganized so that users can capture what things really are about and how they are related. To make this vision come true different technologies are to be used. These technologies aim to change the organization of information radically allowing for new types of analysis based on approaches like text semantics, machine learning, etc.
As indicated, some of these technologies are still coming from the Web 2.0 which put users in focus. These technologies aim to enable users, or entire user communities, to contribute to web-based systems in order to create high-quality content leveraging the entire community's collective intelligence.
Another frequently mentioned technology is the Semantic Web, an evolving extension of the Web in which the semantics of information and services on the web is defined in a machine-processable way, making it possible for the web to understand and satisfy the requests of people and machines to use the web content.
Ubiquitous Computing additionally integrates information processing into everyday objects and activities. At the core, all models of Ubiquitous Computing share the vision of small, inexpensive, robust networked processing devices, distributed at all scales throughout everyday life and generally turned to distinct common-place ends.
As the mobile internet, and mobile services in general, become cheaper and cheaper Ubiquitous Computing becomes more and more important and the question is again how this can influence our community.
Web 2.0 and Social Computing enable applications to gather more data about a user while interacting with the system. The usage of this collaboration offers a new source of input for adaptation and user modeling in software systems.
The Web 3.0 brings additional semantics, and thus additional means for user modeling, into the play.
Ubiquitous Computing integrates these technologies into users' everyday life.
The ABIS Workshop has been established as a highly interactive forum for discussing the state of the art in personalization and user modeling. Latest developments in industry and research are presented in plenary sessions, forums, and tutorials to discuss trends and experiences. We strive to have a diverse group, varying from young researchers working on Master or Ph.D. level to experts in the field. The workshop aims to provide a platform for exchanging novel ideas and expertise, and for obtaining feedback on ongoing research.
We welcome submissions with the following foci:
User- and context modeling for Web 2.0/Web 3.0/Ubiquitous Computing enabled adaptive systems
Web 3.0/Semantic Web/Ubiquitous Computing technologies for adaptive systems
- User modeling, profiling and analysis of user behavior
- Acquisition, updating and management of user models
- Data mining for personalization
- User preference mining
- Knowledge mining
- Opinion and sentiment mining
- User intention prediction
- Personalization rules
- Group modeling and community-based profiling
- Context Modeling
- Interpretation of user behavior and user feedback
Adaptation techniques for Web 2.0/Web 3.0/Ubiquitous Computing enabled adaptive systems
- Semantic Web-based/Ontology-based user- and context models
- Application of Semantic Web technologies to support
- improved mechanisms for adaptation
- improved mechanisms for recommendation
- personalized and adaptive information retrieval/filtering
- exchange of user model information
- improved collaboration between community members
- Reasoning on user- and context models
- Machine learning for user modeling
Recommender techniques for Web 2.0/Web 3.0/Ubiquitous Computing enabled adaptive systems
- Tailoring information presentation to users
- Intelligent/adaptive interfaces
- Intelligent agents
Applications and case-studies of Web 2.0/Web 3.0/Ubiquitous Computing enabled adaptive systems
- Rule-based, knowledge-based, content-based, etc. recommenders
- Recommendation of content
- Recommendation of expertise/people
- Recommendation of background information
- General aspects of collaborative filtering
- General aspects of personalized information retrieval/filtering
- Leveraging collective intelligence
Methods for designing Web 2.0/Web 3.0/Ubiquitous Computing enabled adaptive systems
- Practical experiences
- Cost-justification of the application of these systems
- Convincing users of the added value
- Learning from users' responses
Behavior, social and cultural aspects of Web 2.0/Web 3.0/Ubiquitous Computing enabled adaptive systems
- Composition and management
- Architectures for scalability
- Evaluation methodologies, deployment experiences & user studies
- Management, usability and scrutability
- Analysis requirements
- Prototyping and iterative testing
- Demonstrating the value of such systems
- General aspects of such systems
- Human Computer Interaction aspects
- Privacy, trust and security
- Psychological and ergonomic aspects
- General usability aspects
In order to provide the authors with as much freedom as possible, we do not impose strict submission categories. That being said, we would like to suggest the following flexible guidelines:
- Full papers: full papers are detailed descriptions of scientific work. Length: up to 6 pages (including references)
- Short papers: short descriptions of ongoing or beginning work, topics for discussion, positions papers, thesis descriptions. Length: up to 3 pages (including references)
- Demonstrations: all workshop participants are invited to bring demos of running systems. It is also possible to submit a summary of the system. Length: up to 2 pages (including references). All demos will be presented in an interactive demo session.
To submit papers, please go to ABIS 2009 at EasyChair
Please use the templates provided here
The workshop default language will be English, although papers in German can also be accepted.
Accepted papers will be published in our proceedings.
Andreas Nauerz, IBM Research and Development, Germany
David Hauger, Johannes-Kepler-University, Linz, Austria
Mirjam Köck, Johannes-Kepler-University, Linz, Austria
Alexandros Paramythis, Johannes-Kepler-University, Linz, Austria
Armen Aghasaryan, Alcatel-Lucent, France
Arne Koesling, L3S Research Center, Germany
Betsy van Dijk, University of Twente, Netherlands
Birgitta König-Ries, Universität Jena, Germany
Daniel Krause begin_of_the_skype_highlighting end_of_the_skype_highlighting, L3S Research Center, Germany
Dominikus Heckmann, DFKI Saarbrücken, Germany
Eelco Herder, L3S Research Center, Germany
Erwin Leonardi, Technical University Delft, Netherlands
Georg Groh, Technische Universität München, Germany
Hagen Höpfner, International University Bruchsal, Germany
Jan Hidders, Technical University Delft, Netherlands
Kees van der Sluijs, Technical University Eindhoven, Netherlands
Manfred Broy, Technische Universität München, Germany
Marcus Specht, Open University of the Netherlands, Netherlands
Mathias Bauer, mineway GmbH, Germany
Melanie Hartmann, Technische Universität Darmstadt, Germany
Michael Fahrmair, DoCoMo Euro-Labs, Germany
Rosta Farzan, University of Pittsburgh, USA
Tsvi Kuflik, University of Haifa, Israel
Sabine Graf, National Central University, Taiwan
Stefanie Lindstaedt, Know-Center Graz, Austria
Stephan Weibelzahl, National College of Ireland
Wassiou Sitou, Technische Universität München, Germany
|| Marcus Specht
|| Keynote talk
|| Anna Averbakh
|| Recommend me a Service: Personalized Semantic Web Service Matchmaking
|| Eelco Herder
|| Meeting of the ABIS SIG
| Web 2.0/3.0 Techniques for Enhanced CSCW & Adaptation/Recommendation
|| Andreas Nauerz
|| New Tagging Paradigms for Enhancing Collaboration in Web 2.0 Communities
|| Andreas Nauerz
|| Link Clouds and User-/Community-Driven Dynamic Interlinking of Resources
|| Stefan Knoll
|| Integrating Semantic Web and Web 2.0 Technologies for supporting Collaboration Work
| User Input & Adaptive/Intelligent User Interfaces
|| Melanie Hartmann
|| Challenges in Developing User-Adaptive Intelligent User Interfaces
|| Daniel Schreiber
|| Adding Flexible Input Device Support to a Web Browser with MundoMonkey
|| Felix Heinrichs
|| Unstructured Interaction: Integrating informal handwritten knowledge into Business Processes
| User Modeling/Profiling/Classification, Personalization, and Adaptation
|| David Hauger
|| Analyzing Client-Side Interactions to Determine Reading Behavior
|| Mirjam Köck
|| Towards Intelligent Adaptative E-Learning Systems -- Machine Learning for Learner Activity Classification
|| Daniel Krause
|| Mashing up user data in the Grapple User Modeling Framework
|| Open Discussion
Download from here
The slides from Marcus Specht's keynote talk can be downloaded from here