CLASSIFYING GRAPHICAL INFORMATION

被引:22
作者
LOHSE, G
WALKER, N
BIOLSI, K
RUETER, H
机构
[1] Cognitive Science and Machine Intelligence Laboratory, C2420 Business Administration, University of Michigan, Ann Arbor, MI, 48109
关键词
D O I
10.1080/01449299108924300
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:419 / 436
页数:18
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