Workshop on context aware intelligent assistance, Karlsruhe, Germany
The internet gives access to large amounts of time- and location-related information, such as local events, transportation timetables and news. Social network sites add even more information from friends and peers tailored to certain social groups sharing common interests. The wide adoption of mobile phones and smart phones provides a widely deployed gateway to this cloud of information while being on the move.
At the same time, the attention of mobile users is often split among many simultaneous tasks. This means that valuable location-based services have to be tailored to current user interests and needs.
At base, location data and context derived from various sensors can act as an indicator for a user's current activities. By complementing the sensor data with domain knowledge of a specific assistance scenario (like shopping, or health-care), it is possible to go well beyond functionality. In assistance scenarios - in contrast to a general setting - user activities can be assumed to be related to certain well-defined tasks.
By formalising 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.For further information, please visit:
http://www8.informatik.uni-erlangen.de/inf8/events/CAIA2010/welcome.html(opens in new window)