There is much debate in the design community concerning how to make an easy-to-understand graph. While expert designers recommend including as little non-data ink as possible, there is little empirical evidence to support their arguments. Non-data ink refers to any ink on a graph that is not required to display the graph's data. As a result of the lack of strong evidence concerning how to design graphs, there is widespread confusion when it comes to best practices. This paper describes a preliminary study of graph perception and learning using an eye-tracking system at UNC's School of Information and Library Science.
| Identifer | oai:union.ndltd.org:UNC_CH/oai:etd.ils.unc.edu:1901/379 |
| Date | 9 April 2007 |
| Creators | Julia Kulla-Mader |
| Contributors | Deborah Barreau |
| Publisher | School of Information and Library Science |
| Source Sets | University of North Carolina-Chapel Hill |
| Language | en_US |
| Detected Language | English |
| Type | Electronic Theses and Dissertations |
| Format | application/pdf, 342296 bytes, application/pdf |
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