User Context and User Models (UCUM '08) Triple-I Conference

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2008

Sep3

Sep5

User Context and User Models (UCUM '08) Triple-I Conference

triple-i.tugraz.at/ucum

Deadline: 14 Apr 2008 - Submission Deadline

Apr14

Deadline: Submission Deadline (User Context and User Models (UCUM '08) Triple-I Conference. Conference start is 3 Sep 2008)

Call For Papers / Call For Participation / CfP!

################################################################ # Call for Papers for the Triple-I '08 Special Track on # # User Context and User Models 08 (UCUM 2008) # ################################################################ 3 September 2008 Graz, Austria http://triple-i.tugraz.at/ucum Special Track Information ################ # Introduction # ################ The I-KNOW ‘08 Special Track on "User Context and User Models" (UCUM 2008) addresses the emerging field of automatic user context detection and the creation of user models based on mined context information. The goals are to reliably identify a user’s context automatically e.g. in order to recommend information relevant to the task at hand and to mine this collected context information e.g. in order to maintain the user’s profile. To reach these goals relevant user context sensors need to be identified, user context information needs to be collected, represented, analyzed in many ways, etc. Original papers are solicited and will be reviewed by a board of international experts. Topics include but are not limited to: * Representation of context and observation data * Identification and modelling of a knowledge worker’s context * Mining data from user context representations * Visualization of observations and context of the user * Barriers & limits of knowledge work support using context and attention * Web2.0 principles & technologies based on contextual data * Real-world cases, related tools, applications and systems * Management of large repositories of context and observation data * Personal information management and context data * Extending user profile modelling * Methods and algorithms for log analysis * Applications and impacts of social network analysis * Privacy and security issues ############## # Background # ############## n the field of user models and attention models, the trend seems to go into the direction of complementing top-down modelling approaches by bottom-up modelling approaches. Bottom-up modelling approaches utilize users’ context data which comes directly from the users’ work environments – especially from their desktops. Based on the detection and analysis of context data the identification of task patterns, users’ interests, users’ achievements with respect to their personal competency development, etc. may be possible. Context data thus extends and at the same time complements traditional modelling approaches with an additional view on the users’ actual work activities and environment. From the knowledge worker’s perspective up to date contextual information opens various ways to facilitate the achievement of the knowledge worker’s current goals ( e.g., learn and knowledge work support, personal information management and information retrieval). We have identified three challenges which warrant further research efforts: (1) How to observe the user to detect and capture context? (2) How can user observations and user context models be represented? (3) How can – through analysis of observation data – further valuable information be inferred? In the following we briefly outline a number of research questions which we think are comprised by three challenges: * Detection and capturing: What sources and sensors are needed and feasible? What types of (interest) indicators can be inferred from that? How can one represent the observations initially? * Representation: What is an appropriate format to exchange observed user-related data? How can data be represented? Do certain types of data reveal any special qualities? * Analysis: Is there a way to detect processes or task patterns from observations and context? Can observed data be used for detecting similarities between tasks? Is there a way of inferring user-related information from observed contextual data? How can diverse observations be merged such that expressive structural information is revealed? ####################### # Type of Submissions # ####################### * Tools and technology descriptions * Empirical results and case studies * Conceptual designs and system designs * Proposals for and applications of standards ################ # Target Group # ################ The topics mentioned above address researchers, developers and practitioners in the fields of user modelling, recommender systems, adaptive systems, context-aware applications, mining data for the semantic desktop etc. We aim for a exchange of ideas and experiences between research and practice. The special track will be held in English. ################### # Important Dates # ################### * 14 April 2008: Submission of the full papers (8 pages) * 31 May 2008: Notification of acceptance * 30 June 2008: Camera ready version (8 pages) * 3-5 Sept. 2008: TRIPLE-I Conference ######################## # Submission Procedure # ######################## File Types: PDF, Word for Windows Style Guides: http://triple-i.tugraz.at/about/style_guide In case of problems or questions concerning the submission of papers, please contact the track chairs at ucum@know-center.at. ############################################# # Notification of Acceptance and Publishing # ############################################# Accepted papers will be published within the I-KNOW '08 conference proceedings. At least one author of an accepted paper must register for I-KNOW '08 before the deadline for Camera ready versions (30 June 2008). Conference Organization The 8th International Conference on Knowledge Management (I-KNOW ‘08, http://i-know.at/) is organized by the Know-Center, Austria’s competence center for knowledge management. The organization team of the special track on User and Attention Models consists of the following people: * Armin Ulbrich, Know-Center Graz (Austria) * Martin Wolpers, Katholieke Universiteit Leuven, Heverlee (Belgium) * Andreas S. Rath, Know-Center Graz (Austria) * Stefanie Lindstaedt, Know-Center Graz (Austria) ##################### # Program Committee # ##################### * Manuel Görtz, SAP Research Darmstadt, Germany * Dominikus Heckmann, DFKI, Germany * Harald Holz, Daimler AG, Germany * Jehad Najjar, K.U. Leuven, Belgium * Michael Schneider, FZI Karlsruhe, Germany * Simone Stumpf, Oregon State University, USA * Andreas Zimmermann, FIT St. Augustin, Germany to be continued.