Personalization and visualization on handheld devices

Abstract

The small screen size of handheld mobile devices poses an inherent problem in visualizing data: very often it is too difficult and unpleasant to navigate through the plethora of presented information. This paper presents a novel approach to personalized and adaptive content presentation for handheld devices, which has been implemented in a mobile financial application system based on a 3-tier architecture. The approach is independent of wireless networks and mobile devices. It utilizes a combination of user profiling, data clustering, and visualization techniques (fisheye and semantic zooming), enhancing the understandability of the data and improving the usability of the device.