Classification of visual representations

Gerald L. Lohse, Kevin Biolsi, Neff Walker, Henry H. Rueter

Research output: Contribution to journalArticle

Abstract

The cognitive structure of graphics is examined. A classification from similarity measures for 60 visual representations is developed in order to (i) structure systematic inquiry; (ii) convey concepts for developing theories; (iii) identify anomalies; (iv) predict future needs; and (v) communicate knowledge. Different classification techniques for collecting and analyzing data were used and have produced different taxonomies.

Original languageEnglish (US)
Pages (from-to)36-49
Number of pages14
JournalCommunications of the ACM
Volume37
Issue number12
DOIs
StatePublished - Dec 1994
Externally publishedYes

Fingerprint

Taxonomies
Taxonomy
Similarity Measure
Anomaly
Predict
Vision
Knowledge
Graphics
Concepts

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture
  • Software
  • Theoretical Computer Science

Cite this

Classification of visual representations. / Lohse, Gerald L.; Biolsi, Kevin; Walker, Neff; Rueter, Henry H.

In: Communications of the ACM, Vol. 37, No. 12, 12.1994, p. 36-49.

Research output: Contribution to journalArticle

Lohse, Gerald L. ; Biolsi, Kevin ; Walker, Neff ; Rueter, Henry H. / Classification of visual representations. In: Communications of the ACM. 1994 ; Vol. 37, No. 12. pp. 36-49.
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