arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2602.21486cs.HC
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StoryComposerAI:通过分解与链接支持人机故事共创

StoryComposerAI: Supporting Human-AI Story Co-Creation Through Decomposition and Linking

Clark University(克拉克大学)

Shuo Niu, Dylan Clements, Marina Margalit Nemanov, Hyungsin Kim

AI总结:

StoryComposerAI通过分解与链接范式,提升人机共创故事的控制感与内容一致性。

摘要:

生成式AI在文本和图像生成方面的能力越来越多地被纳入人机共创任务中,如讲故事和视频编辑。然而,将生成式AI整合到这些任务中需要使用户能够保留对单个故事元素的控制,同时确保生成的视觉内容与故事情节一致,并在多个AI生成输出中保持一致。本文研究了一种创造性的分解与链接范式,使创作者能够通过提示生成式AI来定制特定的故事元素,如故事情节、人物、地点和场景,同时保持它们之间的一致性。我们实现了并评估了StoryComposerAI系统,该系统展示了这种范式,以增强用户在人机共创数字故事中的控制感和内容一致性。

英文摘要:

GenAI's ability to produce text and images is increasingly incorporated into human-AI co-creation tasks such as storytelling and video editing. However, integrating GenAI into these tasks requires enabling users to retain control over editing individual story elements while ensuring that generated visuals remain coherent with the storyline and consistent across multiple AI-generated outputs. This work examines a paradigm of creative decomposition and linking, which allows creators to clearly communicate creative intent by prompting GenAI to tailor specific story elements, such as storylines, personas, locations, and scenes, while maintaining coherence among them. We implement and evaluate StoryComposerAI, a system that exemplifies this paradigm for enhancing users' sense of control and content consistency in human-AI co-creation of digital stories.

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。

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