Developing Computational Design Creativity Systems D.C. Brown * Computer Science Department, WPI, Worcester, MA 01609, USA The underlying hypothesis of this paper is that the rigor needed to build Computational Design Creativity Systems will produce insights that will increase our understanding of creativity. The paper points to a variety of factors that will need to be studied and understood in detail in order to build such systems. It examines selected technical literature about creativity to determine what key characteristics have been proposed as underlying creative production. In addition, as the existence of creativity is a judgment relative to personal or group norms, it is helpful to understand what factors inform that judgment. Besemer’s Creative Product Semantic Scale for product assessment provides three dimensions, with nine attributes that can be used for judgments. This paper discusses how creative product assessment scales might provide important clues about how to build computational systems in order to produce creative products. Keywords: computational; creativity; design 1. Introduction This paper is concerned with how Computer Science (CS) can assist with studying design creativity. While creative design is clearly part of much CS activity, such as system, algorithm and program design, it is rarely studied from a creativity point of view. However, CS techniques could be used to collect, analyse and visualize data about creative design in CS or other areas. CS can also aid in the study of design creativity by building support tools that support * Email: dcb@cs.wpi.edu