Classifying graphical information

Gerald Lohse, Neff Walker, Kevin Biolsi, Henry RUETer

Research output: Contribution to journalArticle

Abstract

The research lays the groundwork for a taxonomy of visual representations by establishing a methodology for determining the kinds of knowledge conveyed by different graphical representations. In the first of two experiments, the basic categories and dimensions of a set of graphics were established using a sorting procedure. Five principal categories emerged: graphs/tables, maps, diagrams, networks, and icons. Furthermore, two principal dimensions characterize these groups: amount of spatial information and amount of cognitive processing effort. The second experiment validated and extended this understanding of the cognitive structure of visual representations. In that experiment, similarity among items was assessed using pairwise similarity judgements. The results confirmed the original categories and revealed distinct differences between subjects who did or did not have graphic arts training.

Original languageEnglish (US)
Pages (from-to)419-436
Number of pages18
JournalBehaviour and Information Technology
Volume10
Issue number5
DOIs
StatePublished - 1991
Externally publishedYes

Fingerprint

Art
experiment
graphic arts
Research
cognitive structure
Experiments
Taxonomies
Sorting
taxonomy
methodology
Processing
cyhalothrin
Experiment
Group
Visual Representation

ASJC Scopus subject areas

  • Social Sciences(all)
  • Human-Computer Interaction
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)

Cite this

Classifying graphical information. / Lohse, Gerald; Walker, Neff; Biolsi, Kevin; RUETer, Henry.

In: Behaviour and Information Technology, Vol. 10, No. 5, 1991, p. 419-436.

Research output: Contribution to journalArticle

Lohse, Gerald ; Walker, Neff ; Biolsi, Kevin ; RUETer, Henry. / Classifying graphical information. In: Behaviour and Information Technology. 1991 ; Vol. 10, No. 5. pp. 419-436.
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