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Spider Cursor: a simple versatile interaction tool for data visualization and exploration
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Source Computer graphics and interactive techniques in Australasia and South East Asia archive
Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia table of contents
Dunedin, New Zealand
SESSION: Systems table of contents
Pages: 307 - 313  
Year of Publication: 2005
ISBN:1-59593-201-1
Authors
Rosane Minghim  University of São Paulo
Haim Levkowitz  University of São Paulo
Luis Gustavo Nonato  University of São Paulo
Lionis Watanabe  University of São Paulo
Veridiana Salvador  University of São Paulo
Hélio Lopes  Pontifícia Universidade Católica do Rio de Janeiro
Sinésio Pesco  Pontifícia Universidade Católica do Rio de Janeiro
Geovan Tavares  Pontifícia Universidade Católica do Rio de Janeiro
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present Spider Cursor, an exploration tool for geometric models that has proven useful in analyzing data coming from various sources. The Spider Cursor is simple to learn and use, and is useful to help extract various types of relationships present in the data. Additionally, it implements a dual presentation mode, in which visual and aural attributes are used to represent information. A cursor in the shape of a spider runs on top of a surface, helping location of information at neighboring points of the geometry. That can be used for data analysis as well as model manipulations (such as cuts and marks). Sound is employed to display complementary and supplementary information as well as to help define orientation. This paper describes the basic concepts of the Spider Cursor, and illustrates its use by giving examples of applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Tou, F., Williams, M. D., Fikes, R. A., Henderson, J., and Malone, T. W. 1982. Rabbit: An intelligent database assistant. In Proc. AAAI'82, AAAI, 314--318.
 
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Collaborative Colleagues:
Rosane Minghim: colleagues
Haim Levkowitz: colleagues
Luis Gustavo Nonato: colleagues
Lionis Watanabe: colleagues
Veridiana Salvador: colleagues
Hélio Lopes: colleagues
Sinésio Pesco: colleagues
Geovan Tavares: colleagues