A Study on Creative Design Theory Driven by Appeal

Modeling of Bricolage Thinking through Semantic Analysis

Abstract

To develop groundbreaking products, it is crucial to place existing technologies and products in novel contexts, thereby assigning them new meanings. In this study, we interpret meaning recognition based on a Bayesian model of reframing and formulate the “appeal” of such innovative design ideas as the reduction in variational free energy. Furthermore, we propose a system that quantitatively predicts the “appeal of ideas that repurpose existing artifacts for new objectives” from word inputs using natural language processing. This approach is expected to support concept-driven product design.