TY - GEN
T1 - Re-using millions of visualizations
AU - Rimey, Raymond D.
AU - Bolme, David S.
PY - 2007
Y1 - 2007
N2 - Our goal is to enable an individual analyst to utilize and benefit from millions of visualization instances created by a community of analysts. A visualization instance is the combination of a specific set of data and a specific configuration of a visualization providing a visual depiction of that data. As the variety and number of visualization techniques and tools continues to increase, and as users increasingly adopt these tools, more visualization instances will be created (today, perhaps only viewed for a moment and thrown away) during the solution of analysis tasks. This paper discusses what fraction of these visualization instances are worth keeping and why, and argues that keeping more (or all) visualization instances has high value and very low cost. Even if a small fraction is retained the result over time is still a large number of visualization instances and the issue remains, how can users utilize them? This paper describes what new functionality users need to utilize all those visualization instances, illustrated by examples using an information workspace tool based on zoomable user interface principles. The paper concludes with a concise set of principles for future analysis tools that utilize spatial organization of large numbers of visualization instances.
AB - Our goal is to enable an individual analyst to utilize and benefit from millions of visualization instances created by a community of analysts. A visualization instance is the combination of a specific set of data and a specific configuration of a visualization providing a visual depiction of that data. As the variety and number of visualization techniques and tools continues to increase, and as users increasingly adopt these tools, more visualization instances will be created (today, perhaps only viewed for a moment and thrown away) during the solution of analysis tasks. This paper discusses what fraction of these visualization instances are worth keeping and why, and argues that keeping more (or all) visualization instances has high value and very low cost. Even if a small fraction is retained the result over time is still a large number of visualization instances and the issue remains, how can users utilize them? This paper describes what new functionality users need to utilize all those visualization instances, illustrated by examples using an information workspace tool based on zoomable user interface principles. The paper concludes with a concise set of principles for future analysis tools that utilize spatial organization of large numbers of visualization instances.
KW - Information visualization
KW - Information workspace
KW - Intelligence analysis
KW - Knowledge visualization
KW - Sensemaking
KW - Spatial hypertext
KW - Visualization retrieval
KW - Zoomable user interface
UR - http://www.scopus.com/inward/record.url?scp=34249029364&partnerID=8YFLogxK
U2 - 10.1117/12.707380
DO - 10.1117/12.707380
M3 - Conference contribution
AN - SCOPUS:34249029364
SN - 0819466085
SN - 9780819466082
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2007
T2 - Visualization and Data Analysis 2007
Y2 - 29 January 2007 through 30 January 2007
ER -