CfP - Context-Aware Intelligent Assistance (CAIA 2010)

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 devicesvia 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 ofhuman-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
Günther Görz, 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 München
Kristof van Laerhoven, TU Darmstadt
Marc Langheinrich, USI
Alexander De Luca, LMU München
Carsten Magerkurth, SAP Research
Marcus Meyerhöfer, IT2Media
Alexander Meschtscherjakov, Univ. Salzburg
Jörg Müller - T-Lab
Hans Jürgen Ohlbach, LMU München
Felix von Reischach, SAP Research, ETH Zurich
Francesco Ricci, Univ. Bozen-Bolzano
Christoph Schlieder, Univ. Bamberg
Ute Schmid, Univ. Bamberg
Edmund W. Schuster, MIT