21-14 Sep 2010
Karlsruhe, Germany
Dear Colleagues, due to several requests, we extended the submission deadline for CAIA 2010 to August 1, 2010. Please consider submission of good papers, and position papers. Best regards, Stefan Mandl ======================================================================== CALL FOR PAPERS: CAIA 2010 -- Context Aware Intelligent Assistance Workshop held at the 33th Annual Conference on Artificial Intelligence (KI-2010) September 21?24, 2010 Karlsruhe, Germany, Karlsruhe Institute of Technology (KIT) Workshop Web Site: http://www8.cs.fau.de/inf8/events/CAIA2010 Welcome to CAIA 2010 ================== Today, the internet gives access to huge amounts of time and location related information, such as local events, time tables of various means of transportation, or news. Additionally, social network sites, such as Facebook or Twitter add even more information from friends and peers tailored to certain social groups sharing common interests. The vast adoption of mobile phones and smart phones provides a widely deployed gateway to this cloud of information while being on the move anytime anywhere. As the attention of mobile users is always split among many simultaneous tasks, valuable location-based services have to be tailored to the users? current interests and needs. In order to implement such a solution, several research areas must be brought together. ? Location based services are becoming accessible through mobile devices via the mobile network and make use of the geographical position of the mobile device in order to adapt their responses to the current location of the user. ? Pervasive and ubiquitous computing aims at developing new models of human-computer interaction that thoroughly integrate information processing into everyday objects and activities that may be located anywhere. ?Intelligent? applications provide location, situation and user adaptive information and in this way greatly improve the ability of information systems to successfully assist users. ? Mobile recommendation systems add another useful capability: they support a mobile user or a group of mobile users when making decisions ?on the go?, whereby they may leverage shared human experience, the ?wisdom of the crowds?. On the very bottom location data and context derived from various sensors can act as an indicator for the user?s current activities. By complementing the sensor data with domain knowledge of a specific assistance scenario (like shopping, or health-care) we can go well beyond this functionality: In assistance scenarios ? in contrast to a general setting ? user activities can be assumed to be related to certain well defined tasks. By formalizing those tasks and the related user goals, additional meaning can be attributed to context information. On this basis the integration of user preferences can be achieved, keeping the user in the loop of control during concurring and uncertain system states. We shall emphasize that the fields and applications mentioned above share similar problems, currently dealt with separately in the distinct scientific communities. Workshop Objectives ================= It is the goal of this workshop to bring together researchers from the fields of recommender systems, pervasive computing, mobile computing, urban sensing, social networking, context- aware systems and human computer interaction in order to foster the development of mobile services in context. The main matters are: ? What is the nature of services provided to users on the move? ? How do needs and interests depend on contextual parameters? ? What levels of uncertainty have to be handled? / How is uncertainty handled? ? How can users configure and adapt systems? recommendations? / How are preferences handled? Topics of Interest ============= Topics include, but are not limited to: ? Formal models of preferences and contexts - Reasoning about preferences in contexts - Context modeling - User preference oriented route planning ? User needs and applications - location based services - social networks - navigation and planning of transportation ? Mobile recommendations - collaborative filtering - Interaction of social networks and mobile recommendation - Mobile feedback and interpretation of user tags - Semantic aggregation of web 2.0 information and services - Group recommendations ? Reasoning - Case based reasoning in mobile recommendation - Mobile speech technology and NLP - Dynamic environmental attributes (DEA) - Multiple goal recommendation - Event ontologies Demos and applications are most welcome! Important Dates ============ Deadline for Submission: July 15, 2010 Notification of Authors: August 1, 2010 Final Version of Papers: September 1, 2010 Workshop: TBA. Between September 21 and 24, 2010 Conference: September 21-24, 2010 Submission Details =============== Papers should be formatted according to the Springer LNCS guidelines. The length of each paper should be between 5 and 10 pages. All papers must be written in English and submitted in PDF format via http://www.easychair.org/conferences/?conf=caia2010 Publication ----------- The papers will be published on the workshop web site. Further publication options will be determined later. Workshop Organization ================== Bernd Ludwig, Univ. Erlangen Stefan Mandl, Univ. Erlangen Florian Michahelles, ETH Zurich Programme Committee ================== Florian Alt, Univ. Duisburg-Essen Oliver Amft, TU Eindhoven Alexandra Brintrup, Univ. Oxford David Elsweiler, Univ. Erlangen Gnther Grz, Univ. Erlangen Tatsuya Inaba, Univ. Keio Paul Holleis, NTT Docomo Europe Labs Thomas Kirste, Univ. Rostock Rob van Kranenburg, Founder of Council Matthias Kranz, TU Mnchen Kristof van Laerhoven, TU Darmstadt Marc Langheinrich, USI Alexander De Luca, LMU Mnchen Carsten Magerkurth, SAP Research Rainer Malaka, TZI, Bremen Marcus Meyerhfer, IT2Media Alexander Meschtscherjakov, Univ. Salzburg Jrg Mller - T-Lab Hans Jrgen Ohlbach, LMU Mnchen Felix von Reischach, SAP Research, ETH Zurich Francesco Ricci, Univ. Bozen-Bolzano Christoph Schlieder, Univ. Bamberg Ute Schmid, Univ. Bamberg Edmund W. Schuster, MIT