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  4. AIdeation: Designing a Human-AI Collaborative Ideation System for Concept Designers
 
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AIdeation: Designing a Human-AI Collaborative Ideation System for Concept Designers

Journal
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Start Page
1
End Page
28
ISBN (of the container)
979840071394-1
Date Issued
2025-04-25
Author(s)
Wang, Wen-Fan
Lu, Chien-Ting
Ponsa i Campanyà, Nil
Chen, Bing-Yu  
Chen, Mike Y.  
DOI
10.1145/3706598.3714148
URI
https://www.scopus.com/pages/publications/105005714551
https://scholars.lib.ntu.edu.tw/handle/123456789/737766
Abstract
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.
Event(s)
CHI 2025: CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, 26 April 2025- 1 May 2025
Subjects
Concept Design
Creativity Support Tool
Generative AI
Human-Centered AI
Visual Exploration
Publisher
ACM
Type
conference paper

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