AIdeation: Designing a Human-AI Collaborative Ideation System for Concept Designers
Wen-Fan Wang, Chien-Ting Lu, Nil Ponsa Campanyà, Bing-Yu Chen, Mike Y. Chen
摘要
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.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper18
- How Do Human Creators Embrace Human-AI Co-Creation? A Perspective on Human Agency of ScreenwritersYuying Tang, Jiayi Zhou, Haotian Li, Xing Xie 等CHI 2026 · 被引用 6 次
- POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image GenerationEvans Xu Han, Alice Qian Zhang, Haiyi Zhu, Hong Shen 等UIST 2025 · 被引用 5 次
- StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward PropagationSangho Suh, Michael Lai, Kevin Pu, Steven P. Dow 等UIST 2025 · 被引用 5 次
- Co-Designing Collaborative Generative AI Tools for FreelancersKashif Imteyaz, Michael Muller, Claudia Flores-Saviaga, Saiph SavageCHI 2026 · 被引用 4 次
- The AI Memory Gap: Users Misremember What They Created With AI or WithoutTim Zindulka, Sven Goller, Daniela Fernandes, Robin Welsch 等CHI 2026 · 被引用 4 次
它引用的顶会 Paper26
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu 等ICLR 2022 · 被引用 18,833 次
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 被引用 6,759 次
- Expanding Explainability: Towards Social Transparency in AI systemsUpol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl 等CHI 2021 · 被引用 505 次
- Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language ModelsStephen Brade, Bryan Wang, Maurício Sousa, Sageev Oore 等UIST 2023 · 被引用 179 次
- FashionQ: An AI-Driven Creativity Support Tool for Facilitating Ideation in Fashion DesignYoungseung Jeon, Seungwan Jin, Patrick C. Shih, Kyungsik HanCHI 2021 · 被引用 143 次
相关 Paper
- Sketching vs. AI Prompt Based Design Intent Evolution in Undergraduate Students: an Exploratory StudyVanessa Sattele, Juan Carlos OrtizCHI 2026 · 被引用 1 次
- IdeationWeb: Tracking the Evolution of Design Ideas in Human-AI Co-CreationHanshu Shen, Lyukesheng Shen, Wenqi Wu, Kejun ZhangCHI 2025 · 被引用 24 次
- Dancing With Chains: Ideating Under Constraints With UIDEC in UI/UX DesignAtefeh Shokrizadeh, Boniface Bahati Tadjuidje, Shivam Kumar, Sohan Kamble 等CHI 2025 · 被引用 6 次
- CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AIDaEun Choi, Sumin Hong, Jeongeon Park, John Joon Young Chung 等CHI 2024 · 被引用 116 次
- Beyond Automation: How Designers Perceive AI as a Creative Partner in the Divergent Thinking Stages of UI/UX DesignAbidullah Khan, Atefeh Shokrizadeh, Jinghui ChengCHI 2025 · 被引用 29 次
