Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
HIPS: Hyper-Interaction within Physical Space
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Predicting user-cell association in cellular networks from tracked data
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
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Adaptive information systems typically exploit knowledge about the user's interests, preferences, goals etc. to determine what should be presented to the user and how this presentation should take place. When dealing with mobile users, however, information about their motions—the places visited, the duration of stays, average velocity etc.—can be additionally exploited to enrich the user model and better adapt the system behavior to the user's needs. This paper discusses the use of positioning data and background knowledge to achieve such a motion-based adaptation of information provision.