Personalization and visualization on handheld devices

  • Authors:
  • Dongsong Zhang;George Karabatis;Zhiyuan Chen;Boonlit Adipat;Liwei Dai;Zhenxue Zhang;Yu Wang

  • Affiliations:
  • University of Maryland, Baltimore County (UMBC), Baltimore, MD;University of Maryland, Baltimore County (UMBC), Baltimore, MD;University of Maryland, Baltimore County (UMBC), Baltimore, MD;University of Maryland, Baltimore County (UMBC), Baltimore, MD;University of Maryland, Baltimore County (UMBC), Baltimore, MD;University of Maryland, Baltimore County (UMBC), Baltimore, MD;University of Maryland, Baltimore County (UMBC), Baltimore, MD

  • Venue:
  • Proceedings of the 2006 ACM symposium on Applied computing
  • Year:
  • 2006

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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.