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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.

Performance Analysis of an Adaptive User Interface System Based on Mobile Agents