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).

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Description/Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Digital Object Identifier (DOI): doi:10.1145/1518701.1518870
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
Related URLs:
Keywords: information visualization, charting, illustration, quantitative concept diagrams, snap-dragging, constraint-based layout, planar map coloring
Subjects: Q Science > QA Mathematics > QA76 Computer software
Organisations: Agents, Interactions & Complexity
ePrint ID: 267097
Date :
Date Event
April 2009Published
Date Deposited: 12 Feb 2009 09:47
Last Modified: 17 Apr 2017 18:54
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/267097

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