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Rendering effective route maps: improving usability through generalization
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 28th annual conference on Computer graphics and interactive techniques table of contents
Pages: 241 - 249  
Year of Publication: 2001
ISBN:1-58113-374-X
Authors
Maneesh Agrawala  Stanford University
Chris Stolte  Stanford University
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 43,   Downloads (12 Months): 168,   Citation Count: 37
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ABSTRACT

Route maps, which depict a path from one location to another, have emerged as one of the most popular applications on the Web. Current computer-generated route maps, however, are often very difficult to use. In this paper we present a set of cartographic generalization techniques specifically designed to improve the usability of route maps. Our generalization techniques are based both on cognitive psychology research studying how route maps are used and on an analysis of the generalizations commonly found in handdrawn route maps. We describe algorithmic implementations of these generalization techniques within LineDrive, a real-time system for automatically designing and rendering route maps. Feedback from over 2200 users indicates that almost all believe LineDrive maps are preferable to using standard computer-generated route maps alone.


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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CITED BY  37

Collaborative Colleagues:
Maneesh Agrawala: colleagues
Chris Stolte: colleagues