Motivation

The amount of the information and services in the Web has been growing at an astronomical rate, but our time and attention remain finite and most of us often get overwhelmed by the difficulties of getting the right information at the time when we need it. The emergence of smart spaces and smart cities in the market place will further exacerbate the problem. With mobile devices becoming dominant platforms for accessing the Web, Personalization taking into account of unique characteristics of mobile and pervasive computing becomes necessary.
Research efforts on user modeling on mobile clients aiming at personalization have encountered issues and difficulties in data collection and processing, and the difficulties in effective algorithms for resource-constrained devices. With smart spaces emerging and with public and private cloud computing gaining popularity, new challenges emerge, e.g. how to partition intelligence between mobile clients and the servers in cloud or in smart space objects, possibly in a user-specific manner. Privacy concerns have also been raised since to date personalization has been tightly intertwined with the collection of identifiable personal data. It is the time for researchers in this field to get together and think about how to address these issues.

Objective

The objective of the workshop is to bring active researchers and practitioners together and to facilitate discussions on current research results and issues and emerging research topics in supporting personalization in mobile and pervasive computing. The workshop aims to answer the following focused questions by stimulating and involving as many active researchers in this field as possible:
- What are the unique issues, difficulties, and potential solutions for personalization in mobile and pervasive computing?
- What are the roles of domain knowledge and ontology for the personalization and efficient and effective ways of employing them?
- Assuming our surroundings will be filled with smart objects, how does a system address the added complexity of personalization and what are the possible solutions?

Topics of Interest
Personalization for mobile and pervasive computing faces many challenges in areas of user modeling, adaptation and prediction. The topics of interest include but not limited to the following topics:
- Mobile and pervasive intelligent personal assistants
- User preference mining in a mobile and pervasive context
- User intention prediction
- Situation-awareness
- Domain knowledge and ontology for mobile user modeling and personalization
- Personalized mobile learning
- Adaptivity through indoor/outdoor location awareness
- Data acquisition and process
- Personalized division of computation between the phone and cloud
- Personalized power preservation
- Mobile and pervasive group personalization
- User studies and experiences
- Social issues such as privacy

Submission Guidelines
Full papers should be no more than 5 pages. The submissions must conform to the Springer LNCS style. Papers should be submitted via email to personalization@sisa.samsung.com. The accepted papers will be published online.

Important Dates
Paper submission deadline: March 30th, 2009
Notification of acceptance: April 30th, 2009
Camera-ready copy of accepted paper: May 15th, 2009

Organizing Committee
Doreen Cheng, Computer Science Lab, Samsung R&D Center, San Jose, CA, USA, doreen.c@samsung.com
Kinshuk, School of Computing and Information Systems, Athabasca University, Athabasca, Canada, kinshuk@athabascau.ca
Alfred Kobsa, Donald Bren School of Information and Computer Sciences, University of California, Irvine, USA, Kobsa@uci.edu
Kurt Partridge, Palo Alto Research Center, Palo Alto, USA, kurt@parc.com
Zhiwen Yu, Academic Center for Media Stidies, Kyoto University, Kyoto, Japan, yu@ccm.media.kyoto-u.ac.jp

Program Committee
Andreas Zimmermann, Fraunhofer FIT, St. Augustin, Germany
Antonio Kr�ger, University of M�nster, Germany
Barry Smyth, University College Dublin and ChangingWorlds, Dublin, Ireland
Dominik Heckmann, German Artificial Intelligence Center, Saarbr�cken, Germany
Francesco Ricci, Free University of Bozen-Bolzano, Italy
Hiroaki Ogata, Tokushima University, Japan
Keith Cheverst, Lancaster University, England
Max van Kleek, MIT CSAIL, Boston, MA, USA.
Miguel Nussbaum, Catholic University of Chile, Chile
Stephen J.H. Yang, National Central University, Taiwan