UCLA

Recent studies on creativity support tools (CST) have increasingly harnessed artificial intel- ligence (AI) to enhance creative processes. This study explores the role of AI in supporting creative work through the lens of FashionCycle, an AI-driven CST developed for the fashion design sector. We conduct a formative study by interviewing 3 fashion design professionals to understand the design process and determine design goals for our system. This effort identifies two main design objectives aimed at enriching the design process, specifically the ideation and revision phases: firstly, to overcome design fixation by facilitating the efficient and flexible exploration of various design examples, and secondly, to provide an efficient method for modifying inspiration materials through interactive drawing. FashionCycle in- tegrates three tools that combine interactive visualization with AI models: the Inspiration Generator, Sketchpad, and Prototyper, designed to meet our design goals. We showcase how FashionCycle effectively integrates AI into fashion design professional existing workflows, and supports the various discrete tasks involved in the fashion design process. Our system un- derscores the role and utilization of AI in each cognitive operation and offers insights into the future implications of developing AI-based CST tools.