CreativeSearch: Proactive design exploration system with Bayesian information gain and information entropy

Abstract

A spatial designer's search goal is sequentially updated during the spatial design exploration process. The design exploration process requires a proactive process that supports better-informed design decisions and refreshes the search direction to avoid being fixed; however, no study has been conducted to date. This paper describes a framework called CreativeSearch, which provides three types of guidance feedback by analyzing a spatial designer's design process. Particularly, by integrating the Bayesian Information Gain (BIG) framework and information entropy theory, CreativeSearch provides three types of guidance feedback. A user study conducted with 20 spatial designers confirmed that CreativeSearch supported them in exploring creative design ideas by lowering their mental load. Furthermore, CreativeSearch made designers proactive and supported their design decisions. The guidance feedback framework described in this paper is expected to extend the research on proactive and creative design exploration processes.