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Graph Sketcher: extending illustration to quantitative graphs

Graph Sketcher: extending illustration to quantitative graphs
Graph Sketcher: extending illustration to quantitative graphs
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.
information visualization, charting, illustration, quantitative concept diagrams, snap-dragging, constraint-based layout, planar map coloring
1113-1116
Stewart, Robin
5ac58cec-60a7-4de3-9edf-c4f42f6cda6a
schraefel, m.c.
ac304659-1692-47f6-b892-15113b8c929f
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).

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)

Abstract

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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More information

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

Identifiers

Local EPrints ID: 267097
URI: http://eprints.soton.ac.uk/id/eprint/267097
PURE UUID: ef3bd94d-57ce-4176-b12e-335e7156ec19

Catalogue record

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

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Contributors

Author: Robin Stewart
Author: m.c. schraefel

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