COMPUTATIONAL SUPPORT OF DESIGN CONCEPT GENERATION THROUGH INTERACTION OF SKETCHING, ONTOLOGY-BASED CLASSIFICATION AND FINDING VOIDS
Editor: Christian Weber, Stephan Husung, Marco Cantamessa, Gaetano Cascini, Dorian Marjanovic, Srinivasan Venkataraman
Author: Nomaguchi, Yutaka; Nakagiri, Taku; Fujita, Kikuo
Institution: Osaka University, Japan
Section: Design Theory and Research Methodology, Design Processes
Drawing a sketch takes an important role for generating new design concepts. Although there are some tools that can support the drawing activity, designer s thinking process behind it has rarely been supported, because its process is implicit, and therefore, it is difficult to explicitly formalize it. This research focuses on the concept generation process through interaction of sketching and classifying concepts, and proposes a computational support methodology that helps a designer systematically find new concepts which cannot be noticed intuitively. This methodology consists of three steps, i.e., representing design concepts with sketching, classifying concepts with the function ontology, and finding new design concepts with the void theory that sees design concept generation as a process to resolve defects of the classification. A prototype support tool is implemented based on the proposed methodology. This paper demonstrates a concept generation example performed with the prototype support tool to show that more design solution candidates can be created with the proposed methodology.
Keywords: Conceptual Design, Creativity, Design Methods, Sketch, Concept Operation