具有痕迹意识的工作流：利用生成式AI共同创建品牌内容
Trace-Aware Workflows for Co-Creating Branded Content with Generative AI
AI总结：
本文探讨小型企业主在利用生成式AI进行品牌内容创作时面临的挑战，并提出一个原型系统，通过痕迹记录支持迭代流程中的反馈探索与内容优化。
摘要：
生成式AI工具降低了制作品牌社交媒体图片和标题的门槛，但小型企业主仍难以在没有专业设计师或营销顾问的情况下创建符合品牌调性的帖子。尽管这些工具能快速根据文本提示生成图像，但使输出与品牌预期的外观和感觉保持一致仍是一个具有挑战性的、反复迭代的任务。在本文中，我们探讨了小型企业主如何在迭代内容创作过程中导航，并探讨了AI辅助系统如何支持他们的内容创作工作流。我们与12名独立管理其业务和社交媒体存在的小型企业主进行了初步研究，通过问卷收集他们的品牌实践、内容工作流以及使用生成式AI与传统设计工具的使用情况。我们识别出三个反复出现的挑战：（1）将品牌“感觉”转化为有效的提示；（2）难以回顾和比较先前的图像生成；（3）难以理解迭代之间的变化以指导细化。基于这些发现，我们提出了一个原型，该原型支撑品牌表达，支持基于反馈的探索，并维护分支图像迭代的痕迹板。我们的工作展示了迭代过程的痕迹如何作为工作流支持，帮助小型企业主跟踪探索、理解变化并优化内容。
英文摘要：
Generative AI tools have lowered barriers to producing branded social media images and captions, yet small-business owners (SBOs) still struggle to create on-brand posts without access to professional designers or marketing consultants. Although these tools enable fast image generation from text prompts, aligning outputs with a brand's intended look and feel remains a demanding, iterative task. In this position paper, we explore how SBOs navigate iterative content creation and how AI-assisted systems can support SBOs' content creation workflow. We conducted a preliminary study with 12 SBOs who independently manage their businesses and social media presence, using a questionnaire to collect their branding practices, content workflows, and use of generative AI alongside conventional design tools. We identified three recurring challenges: (1) translating brand "feel" into effective prompts, (2) difficulty revisiting and comparing prior image generations, and (3) difficulty making sense of changes between iterations to steer refinement. Based on these findings, we present a prototype that scaffolds brand articulation, supports feedback-informed exploration, and maintains a traceboard of branching image iterations. Our work illustrates how traces of the iterative process can serve as workflow support that helps SBOs keep track of explorations, make sense of changes, and refine content.
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。
