SARD：一种人机协作的故事生成系统
SARD: A Human-AI Collaborative Story Generation
AI总结：
本文提出拖放式可视化界面SARD，利用大型语言模型支持多章节人机协作故事生成，并通过可用性评估揭示节点叙事可视化的认知负担及AI文本词汇多样性不足等局限。
摘要：
生成式人工智能（GenAI）为故事创作者开启了一个新时代，提供了一种强大的工具来激发创造力并探索未知的叙事领域。随着技术不断进步，人类创造力与AI生成内容之间的协同作用有可能重新定义讲故事的格局。在本研究中，我们提出了SARD，这是一种使用大型语言模型生成多章节故事的拖放式可视化界面。我们对SARD的可用性及其创造力支持进行了评估，结果表明，尽管基于节点的叙事可视化可能帮助创作者建立心智模型，但它也给创作者带来了不必要的心智负担，并且随着故事变得更加复杂，它会成为干扰来源。我们还发现，无论故事的复杂程度如何，AI生成的故事在词汇多样性方面都较低。我们识别出了该工具的一些模式和局限性，它们可以指导未来人机协作写作工具的开发。
英文摘要：
Generative artificial intelligence (GenAI) has ushered in a new era for storytellers, providing a powerful tool to ignite creativity and explore uncharted narrative territories. As technology continues to advance, the synergy between human creativity and AI-generated content holds the potential to redefine the landscape of storytelling. In this work, we propose SARD, a drag-and-drop visual interface for generating a multi-chapter story using large language models. Our evaluation of the usability of SARD and its creativity support shows that while node-based visualization of the narrative may help writers build a mental model, it exerts unnecessary mental overhead to the writer and becomes a source of distraction as the story becomes more elaborated. We also found that AI generates stories that are less lexically diverse, irrespective of the complexity of the story. We identified some patterns and limitations of our tool that can guide the development of future human-AI co-writing tools.
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。
