WINNING FORMULAS FOR METAPHOR DESIGN: A CASE STUDY OF DESIGN COMPETITIONS
Editor: Marjanovic Dorian, Storga Mario, Pavkovic Neven, Bojcetic Nenad, Skec Stanko
Author: Wang, H.-H.
Section: SOCIOTECHNICAL ISSUES IN DESIGN
This paper introduces a set of winning formulas for metaphor-oriented design competitions from one hundred entries. Structure mapping theory is used to describe the similarity-based metaphor quality of the entries in the form of attributes, while rough set theory is used to induce the rules for winning formulas from the vague data. The formulas reveal high prediction accuracy when the inference decisions are compared with thirty award winners.They have been applied to a design prize winner for its metaphor created by analogy, suggesting their advantages.