Selecting One from Many: The Development of a Scalable Visualization Tool

Authors:
Mark Apperley;Robert Spence;Kent Wittenburg
Affiliations:
-;-;-
Venue:
HCC '01 Proceedings of the IEEE 2001 Symposia on Human Centric Computing Languages and Environments (HCC'01)
Year:
2001

Citing 0
Cited 5

References

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Sensitivity encoding to support information space navigation: a design guideline

Information Visualization
Visualizing antenna design spaces

AVI '08 Proceedings of the working conference on Advanced visual interfaces
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ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Setting the bar for set-valued attributes

Proceedings of the International Conference on Advanced Visual Interfaces

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Abstract

This paper describes visualisation tools to support thetask of selecting one object from a collection of many onthe basis of its attribute values. For this frequentlyencountered task we identify a set of tools appropriate toa spectrum of collection sizes extending from hundreds ofthousands to as few as ten or twenty. Although some ofthe tools have not previously been reported, and somehave received only cursory attention in the literature,others are well known. This paper presents the tools in acoherent and consistent manner, showing relationshipsand progressions between them, identifying theirprincipal attributes and relating them to the problemsolver's cognitive task. We conclude with a proposal forintegrating techniques within a single tool in order todeal with a continuum of working set sizes.