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Graph Sketcher: extending illustration to quantitative graphs

Stewart, Robin and schraefel, m.c. (2009) Graph Sketcher: extending illustration to quantitative graphs At CHI 2009 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, United States. 04 - 09 Apr 2009. , pp. 1113-1116. (doi:10.1145/1518701.1518870).

Record type: Conference or Workshop Item (Paper)


Scientists, engineers, and educators commonly need to make graphs that quickly illustrate quantitative ideas yet are not based on specific data sets. We call these graphs quantitative concept diagrams (QCDs). Existing charting and illustration programs make it possible to produce such graphs, but they are so time-consuming that users tend to sketch the graphs by hand instead. To reduce the cost of creating QCDs, we developed Graph Sketcher, a quantitative graphing tool that deeply integrates the data plotting capabilities of charting programs with the direct manipulation techniques of illustration programs. We show that our integrated interface substantially reduces the time needed to create QCDs, and we further show that real Graph Sketcher users both enjoy and take advantage of the interface improvements to create QCDs in a wide range of fields.

PDF graphSketcher-chi09.pdf - Accepted Manuscript
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Published date: April 2009
Additional Information: Winner: Best in CHI award; Best Note
Venue - Dates: CHI 2009 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, United States, 2009-04-04 - 2009-04-09
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Keywords: information visualization, charting, illustration, quantitative concept diagrams, snap-dragging, constraint-based layout, planar map coloring
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 267097
PURE UUID: ef3bd94d-57ce-4176-b12e-335e7156ec19

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Date deposited: 12 Feb 2009 09:47
Last modified: 18 Jul 2017 07:08

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Author: Robin Stewart
Author: m.c. schraefel

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