UMAP'09 Workshop 2009 - UMAP'09 Workshop on Personalization in Mobile and Pervasive Computing

UMAP'09 Workshop on Personalization in Mobile and Pervasive Computing
collocated with the UMAP'09,

http://umap09.fbk.eu/
June 22-26, 2009, Trento, Italy

* 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, Samsung R&D Center, USA, doreen.c-AT-samsung.com
Kinshuk, Athabasca University, Canada, kinshuk-AT-athabascau.ca
Alfred Kobsa, University of California, USA, Kobsa-AT-uci.edu
Kurt Partridge, Palo Alto Research Center, USA, kurt-AT-parc.com
Zhiwen Yu, Kyoto University, Japan, yu-AT-ccm.media.kyoto-u.ac.jp

* 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 (http://www.springer.com/computer/lncs?SGWID=0-164-...).
Papers should be submitted via email to personalization-AT-sisa.samsung.com.
The accepted papers will be published online.