Discovery of Mental Metadata Used for Analogy Formation in Function-Based Design

Abstract

Applying previous solutions to solve new problems is a core aspect of design, and designers routinely use informal analogies to solve a wide variety of design problems. However, when the goal is to consider a large quantity and variety of creative solutions, relying on informal analogy recall may limit the analogy and solution breadth. This paper reports on work to identify the analogy connections that designers make during concept generation such that computational support can be employed to intentionally retrieve analogical solutions from existing systems. A study of the types of similarity that are commonly used to draw design analogies, and whether some types of similarity are used more frequently in compound analogy versus single analogy, was designed and implemented. The experiment consists of a design task and a follow up interview. Ten mechanical engineering graduate students specializing in design participated. Eight different types of analogical similarity are observed, and each type is equally likely to be used to form either single or compound analogies. Notably, the flow behavior was a commonly observed type of abstract similarity that helped designers notice connections across domains, suggesting the value of capturing and retrieving (computationally) flow behavior abstractions for the purpose of relating systems analogically.