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.
| Original language | English (US) |
|---|---|
| Title of host publication | Proc First 90 IEEE Conf Visualization Visualization 90 |
| Publisher | Publ by IEEE |
| Pages | 131-138 |
| Number of pages | 8 |
| ISBN (Print) | 0818620838 |
| Publication status | Published - 1990 |
| Externally published | Yes |
| Event | Proceedings of the First 1990 IEEE Conference on Visualization - Visualization '90 - San Francisco, CA, USA Duration: Oct 23 1990 → Oct 26 1990 |
Other
| Other | Proceedings of the First 1990 IEEE Conference on Visualization - Visualization '90 |
|---|---|
| City | San Francisco, CA, USA |
| Period | 10/23/90 → 10/26/90 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Lohse, J., Rueter, H., Biolsi, K., & Walker, N. (1990). Classifying visual knowledge representations: A foundation for visualization research. In Proc First 90 IEEE Conf Visualization Visualization 90 (pp. 131-138). Publ by IEEE.