创造力
计算机科学
工作流程
数据科学
领域(数学)
知识管理
人机交互
人工智能
心理学
数据库
社会心理学
数学
纯数学
作者
Bin Ning,Fang Liu,Zhixiong Liu
标识
DOI:10.1109/cscwd57460.2023.10152832
摘要
Artificial Intelligence technology-driven Creativity Support Tools (AI-CSTs) provide specific field capability support for human creative activities. In this paper, we compare and analyze the current situation and trend of AI-CSTs design space in four aspects: creative stage, support form, support technology, and role diversity. Through a coding study and comparative analysis of 50 AI-CSTs cases, we discuss the impact of AI-CSTs on traditional workflows, the boundaries of AI-CSTs as co-creators, and how to treat AI errors, which provides insights for future AI-CSTs design. We summarize the collaboration framework in AI-CSTs. Finally, this paper also studies the information technology requirements and challenges of AI-CSTs research, which provides a new perspective to understanding the landscape of AI-CSTs.
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