The Muse method for usability engineering
The Muse method for usability engineering
UIML: an appliance-independent XML user interface language
WWW '99 Proceedings of the eighth international conference on World Wide Web
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Learning user's preferences by analyzing Web-browsing behaviors
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Empirically validated web page design metrics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictive Statistical Models for User Modeling
User Modeling and User-Adapted Interaction
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
IEEE Concurrency
An XML-Based Runtime User Interface Description Language for Mobile Computing Devices
DSV-IS '01 Proceedings of the 8th International Workshop on Interactive Systems: Design, Specification, and Verification-Revised Papers
Adaptive User Interface for Mobile Devices
DSV-IS '02 Proceedings of the 9th International Workshop on Interactive Systems. Design, Specification, and Verification
MASIF: The OMG Mobile Agent System Interoperability Facility
MA '98 Proceedings of the Second International Workshop on Mobile Agents
ADUS: Indirect Generation of User Interfaces on Wireless Devices
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
ADUS: Indirect Generation of User Interfaces on Wireless Devices
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
A software retrieval service based on adaptive knowledge-driven agents for wireless environments
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Mining longest repeating subsequences to predict world wide web surfing
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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Adapting graphical user interfaces for various user devices is one of the most interesting topics in today's mobile computation. In this paper we present a system based on mobile agents that transparently adapts user interface specifications to the user device' capabilities and monitors user interaction. Specialized agents manage GUI specification according to the specific context and user preferences. We show how the user behavior can be monitored at run-time in a transparent way and how learning methods are applied to anticipate future user actions and to adapt the user interface accordingly. The feasibility and performance of our approach are shown by applying our approach to a non-trivial application and by performing tests with real users.