dc.contributor.author | Bennett, Chris | en_US |
dc.contributor.author | Ryall, Jody | en_US |
dc.contributor.author | Spalteholz, Leo | en_US |
dc.contributor.author | Gooch, Amy | en_US |
dc.contributor.editor | Douglas W. Cunningham and Gary Meyer and Laszlo Neumann | en_US |
dc.date.accessioned | 2013-10-22T07:39:40Z | |
dc.date.available | 2013-10-22T07:39:40Z | |
dc.date.issued | 2007 | en_US |
dc.identifier.isbn | 978-3-905673-43-2 | en_US |
dc.identifier.issn | 1816-0859 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH07/057-064 | en_US |
dc.description.abstract | The discipline of graph visualization produces pictorial representations of node link structures. Much effort has been directed toward making such diagrams visually pleasing. A variety of aesthetic heuristics have been proposed, with the assumption that these will improve readability and understanding. We look at a perceptual basis for these heuristics, including Gestalt principles and Norman s emotional design framework. Next, we review the work to date on aesthetic heuristics and examine what has been done to evaluate these heuristics. We summarize this in a framework that outlines graph drawing heuristics, their perceptual basis, and evaluation status. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Line and Curve Generation | en_US |
dc.title | The Aesthetics of Graph Visualization | en_US |
dc.description.seriesinformation | Computational Aesthetics in Graphics, Visualization, and Imaging | en_US |