计算机科学
灵活性(工程)
人机交互
创造力
示意图
透明度(行为)
过程(计算)
共同创造
知识管理
工程类
计算机安全
操作系统
心理学
统计
数学
电子工程
社会心理学
作者
Mingyuan Zhang,Zhengyi Cheng,Sheung Ting Ramona Shiu,Jiacheng Liang,Cong Fang,Zhengtao Ma,Le Fang,Stephen Jia Wang
标识
DOI:10.1145/3584931.3607008
摘要
AI-based creativity-support systems are gaining attention from designers and researchers. However, a research gap exists on how to tailor those systems by maximizing flexibility based on human needs and preferences. This study proposes a schematic human-AI co-creation framework to maximize system flexibility and enhance creative outcome generation. The framework proposes the involvement of AI in three levels of creation and allows humans to adjust between the levels anytime during the creative process based on their preferences. We tentatively define how AI should collaborate at the three levels. To implement the framework, a co-creation system (GSM) was built to support humans in creating sculpture maquettes with AI. It includes three key components: a prompt-based generated model (DALL·E), advanced computer vision, and robotic arms. A user interface is provided to ensure transparency. Preliminary user studies have demonstrated that the system enhances flexibility and allows users to generate more creative maquettes.
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