Managing Hierarchical Information on Small Screens

Authors:
Jie Hao;Kang Zhang;Chad Allen Gabrysch;Qiaoming Zhu
Affiliations:
Dept. of Computer Science, University of Texas at Dallas, Richardson, USA TX 75080-3021;Dept. of Computer Science, University of Texas at Dallas, Richardson, USA TX 75080-3021 and School of Computer Science and Technology, Soochow University, Suzhou, China 215006;Dept. of Computer Science, University of Texas at Dallas, Richardson, USA TX 75080-3021;School of Computer Science and Technology, Soochow University, Suzhou, China 215006
Venue:
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Year:
2009

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Abstract

This paper presents a visualization methodology called Radial Edgeless Tree (RELT) for visualizing and navigating hierarchical information on mobile interfaces. RELT is characterized by recursive division of a polygonal display area, space-filling, maximum screen space usage, and clarity of the hierarchical structure. It is also general and flexible enough to allow users to customize the root location and stylize the layout. The paper presents the general RELT drawing algorithm that is adaptable and customizable for different applications. We demonstrate the algorithm's application for stock market visualization, and also present an empirical study on an emulated implementation with a currently used cell phone interface in terms of their performances in finding desired information.