Name
Title | ||
|---|---|---|
Classifying visual knowledge representations: a foundation for visualization research |
Abstract | ||
|---|---|---|
An exploratory effort to classify visual representations into homogeneous clusters is discussed. The authors collected hierarchical sorting data from twelve subjects. Five principal groups of visual representations emerged from a cluster analysis of sorting data: graphs and tables, maps, diagrams, networks, and icons. Two dimensions appear to distinguish these clusters: the amount of spatial information and cognitive processing effort. The authors discuss visual information processing issues relevant to the research, methodology and data analyses used to develop the classification system, results of the empirical study, and possible directions for future research |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1109/VISUAL.1990.146374 | IEEE Visualization 2003 |
Keywords | Field | DocType |
visual knowledge representation,principal group,cognitive processing effort,visual representation,homogeneous cluster,spatial information,visualization research,twelve subject,exploratory effort,cluster analysis,various visual representation,data visualization,two dimensions,networks,computer graphics,graphs,machine intelligence,knowledge representation,decoding,cognitive science,data analysis,visual perception,data mining,diagrams,information processing,cognitive process,sorting | Computer vision,Data visualization,Information visualization,Visualization,Computer science,Human visual system model,Visual analytics,Sorting,Artificial intelligence,Computer graphics,Visual perception | Conference |
ISBN | Citations | PageRank |
0-8186-2083-8 | 20 | 8.06 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jerry Lohse | 1 | 43 | 15.13 |
| Henry H. Rueter | 2 | 143 | 26.09 |
| Kevin Biolsi | 3 | 138 | 27.91 |
| Neff Walker | 4 | 568 | 124.84 |