ExPlates: spatializing interactive analysis to scaffold visual exploration
W Javed, N Elmqvist - Computer Graphics Forum, 2013 - Wiley Online Library
Visual exploration involves using visual representations to investigate data where the goals
of the process are unclear and poorly defined. However, this often places unduly high
cognitive load on the user, particularly in terms of keeping track of multiple investigative
branches, remembering earlier results, and correlating between different views. We propose
a new methodology for automatically spatializing the individual steps in visual exploration
onto a large visual canvas, allowing users to easily recall, reflect, and assess their progress …
of the process are unclear and poorly defined. However, this often places unduly high
cognitive load on the user, particularly in terms of keeping track of multiple investigative
branches, remembering earlier results, and correlating between different views. We propose
a new methodology for automatically spatializing the individual steps in visual exploration
onto a large visual canvas, allowing users to easily recall, reflect, and assess their progress …
[PDF][PDF] ExPlates: Spatializing Interactive Analysis to Scaffold Visual Exploration
B Preim, P Rheingans, H Theisel - users.umiacs.umd.edu
Visual exploration involves using visual representations to investigate data where the goals
of the process are unclear and poorly defined. However, this often places unduly high
cognitive load on the user, particularly in terms of keeping track of multiple investigative
branches, remembering earlier results, and correlating between different views. We propose
a new methodology for automatically spatializing the individual steps in visual exploration
onto a large visual canvas, allowing users to easily recall, reflect, and assess their progress …
of the process are unclear and poorly defined. However, this often places unduly high
cognitive load on the user, particularly in terms of keeping track of multiple investigative
branches, remembering earlier results, and correlating between different views. We propose
a new methodology for automatically spatializing the individual steps in visual exploration
onto a large visual canvas, allowing users to easily recall, reflect, and assess their progress …
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