We present results from an empirical user-study with ten users which investigates if
information from a user's environment helps a user interface to personalize itself to …

We investigate whether XCS, a genetic algorithm based learning classifier system, can
harness information from a user's environment to help desktop applications better …

Research in context-aware user interfaces aims to improve human-computer interaction by
providing more effective, smarter and user-friendlier solutions for computer applications …

While current desktop applications provide input for an application's information processing
by monitoring peripheral activity (keyboard, mouse, internal clock), these applications do not …

The finite state vector quantization (FSVQ) image compression approach is studied. A new
compression scheme is proposed which optimizes the performance of the so-called …

Although advances in computer technology over the past few decades have made it
possible to create and render highly realistic 3D models these days, the process of creating …

We evaluate if contextual information collected from a user's environment improves the
reminder-prediction accuracy of Sycophant, our context-aware calendaring application and …

We analyze data collected from ten users in a user study. We evaluate if contextual
information collected from a user's environment benefits Sycophant, our context-aware …

We investigate if information from a user's envi-ronment benefits application personalization.
We use simple sensors like a web-camera or a microphone to gather this information from a …