Stewart, Robin and schraefel, m.c.
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.
Scientists, engineers, and educators commonly need to make graphs that quickly illustrate quantitative ideas yet are not based on speci?c data sets. We call these graphs quantita- tive concept diagrams (QCDs). Existing charting and illus- tration 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 graph- ing tool that deeply integrates the data plotting capabilities of charting programs with the direct manipulation techniques of illustration programs. We show that our integrated inter- face 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 ?elds.
Conference or Workshop Item
|Digital Object Identifier (DOI):
||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
||information visualization, charting, illustration, quantitative concept diagrams, snap-dragging, constraint-based layout, planar map coloring
||Agents, Interactions & Complexity
||12 Feb 2009 09:47
||17 Apr 2017 18:54
|Further Information:||Google Scholar|
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