Paper Info
Title
Assisted Navigation of Complex Information Spaces
Abstract
This paper presents a new technique for visualizing large, complexcollections of data. The size and dimensionality of these datasetsmake them challenging to display in an effective manner. The imagesmust show the global structure of spatial relationships withinthe dataset, yet at the same time accurately represent the local detailof each data element being visualized. We propose combiningideas from information and scientific visualization together with anavigation assistant, a software system designed to help users identifyand explore areas of interest within their data. The assistantlocates data elements of potential importance to the user, clustersthem into spatial regions, and builds underlying graph structures toconnect the regions and the elements they contain. Graph traversalalgorithms, constraint-based viewpoint construction, and intelligentcamera planning techniques can then be used to design animatedtours of these regions. In this way, the navigation assistant can helpusers to explore any of the areas of interest within their data. Weconclude by demonstrating how our assistant is being used to visualizea multidimensional weather dataset.
Year
Venue
Keywords
2002
IEEE Visualization 2003
spatial relationships,scientific visualization,software systems
Field
DocType
Citations 
Computer vision,Information visualization,Computer science,Visual analytics,Human–computer interaction,Artificial intelligence,Multimedia
Conference
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Brent M. Dennis1161.90
Christopher G. Healey286165.46