谁塑造了什么？通过图像编辑中的空间溯源厘清人类与AI的创意贡献
Who Shaped What? Untangling Human and AI Creative Contributions Through Spatial Provenance in Image Editing
AI总结：
本研究通过混合主动设计探针Roop的空间溯源热图实验，厘清了人类与AI在图像编辑中的创意贡献划分，为溯源系统设计提供了依据。
摘要：
与AI共同编辑的图像常被标注以披露AI的使用情况，但创作者认为这些标注未能充分描述他们对编辑过程的贡献。编辑历史记录了请求、建议和修订，但创作者如何利用这些日志判断贡献？我们通过Roop（一种混合主动设计探针）对此展开研究，该探针将图像区域与编辑历史（空间溯源）关联，并以热图形式总结交互过程。20名参与者编辑图像、标注人类与AI的贡献，随后查看空间溯源热图。参与者将引导变更归功于自身，将视觉细节的确定归功于AI；他们部分依据自身交互是否达成意图来判断贡献。查看溯源帮助参与者回忆交互过程，但未总能改变其对贡献的认定。这些发现推动了溯源系统的发展，这类系统需保留足够上下文，以便创作者解释交互如何塑造其作品，同时记录实际发生的情况。
英文摘要：
Images co-edited with AI are often labeled to disclose AI use. However, creators feel these labels do not sufficiently describe their contributions to the editing process. Editing histories preserve requests, suggestions, and revisions, but how do creators use these logs to judge contribution? We investigated this with Roop, a mixed-initiative design probe that links image regions to editing histories (spatial provenance) and summarizes interactions in a heat map. Twenty participants edited images, annotated human and AI contributions, then reviewed the spatial provenance heat map. Participants credited themselves for directing changes while crediting AI for determining visual details. They judged contribution partly by whether their interactions achieved their intentions. Reviewing provenance helped participants remember interactions without always changing whom they credited. These findings motivate provenance systems that preserve enough context for creators to explain how interactions shaped their work, alongside the record of what happened.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
