AIdeation：為概念設計師打造的 AI 創意輔助系統

Abstract

在娛樂產業中，概念設計師為電影、遊戲和電視節目創造出高度細緻且通常是虛構的環境。他們的早期概念發想階段需要密集的資料研究、腦力激盪、視覺探索，並結合多樣的設計元素以形成風格統一的設計。然而，現有的AI工具主要專注於根據使用者指令生成圖像，對於概念設計師工作流程的獨特需求和複雜性則缺乏支援。

我們透過對12位專業設計師的前期研究，深入理解他們的工作流程，並整理出AI支援發想工具的關鍵需求。基於這些觀察，我們開發了AIdeation，一套能支援早期發想的AI系統，透過靈活的參考圖搜尋與概念重組來協助設計概念的腦力激盪。

我們與16位專業設計師進行使用者研究，結果顯示相較於現有工具與工作流程，AIdeation在創造力、概念發想效率以及滿意度方面均有顯著提升（所有結果 p<.01）。此外，我們也與4間設計工作室進行為期一週的實地研究，進一步探討 AIdeation 在真實專案中的優勢與限制。研究結束後，其中兩間涵蓋電影、電視與遊戲領域的工作室，至今仍持續將 AIdeation 應用於其商業項目中，進一步驗證了其在發想品質與效率上的助益。

Concept designers in the entertainment industry create highly detailed, often imaginary environments for movies, games, and TV shows. Their early ideation phase requires intensive research, brainstorming, visual exploration, and combination of various design elements to form cohesive designs. However, existing AI tools focus on image generation from user specifications, lacking support for the unique needs and complexity of concept designers' workflows. Through a formative study with 12 professional designers, we captured their workflows and identified key requirements for AI-assisted ideation tools. Leveraging these insights, we developed AIdeation to support early ideation by brainstorming design concepts with flexible searching and recombination of reference images. A user study with 16 professional designers showed that AIdeation significantly enhanced creativity, ideation efficiency, and satisfaction (all p<.01) compared to current tools and workflows. A field study with 4 studios for 1 week provided insights into AIdeation's benefits and limitations in real-world projects. After the completion of the field study, two studios, covering films, television, and games, have continued to use AIdeation in their commercial projects to date, further validating AIdeation's improvement in ideation quality and efficiency.