A comparative review of knowledge structure measurement techniques for interface design
Darel V. Benysh, Richard J. Koubek, Vance Calvez · International Journal of Human-Computer Interaction · 1993
Recent research suggests that the structure of user knowledge, in addition to the content, is a significant determinant of user behavior in computer‐oriented tasks. The purpose of this article is to provide the researcher in human‐computer interaction with a comparative review of available knowledge structure measurement techniques and to summarize their potential application for aiding the designer at various stages of interface design. Three general classes of techniques are identified: verbal reports, clustering, and scaling. Each group is reviewed according to (1) the manner in which concepts and relationships are elicited, (2) the method used to derive the knowledge structure, and (3) procedures used to analyze the knowledge structure. With this information, the human‐computer interface designer can more effectively use these techniques for their particular application.