IRIS：利用智能文档历史导航与反思写作轨迹
IRIS: Navigating and Reflecting on Writing Traces Using Intelligent Document Histories
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中文总结 AI 辅助
IRIS是基于Flower和Hayes写作认知模型的智能工具，可从按键日志推断写作状态，通过AI增强的版本历史提供三种交互功能，帮助作者导航文档历史、理解写作过程并深化认知。
中文摘要 AI 辅助
文档生命周期中产生的大部分文本是临时的。本文探讨如何让写作活动轨迹变得可见且可交互，以帮助作者导航文档历史并理解自身写作过程。基于Flower和Hayes的写作认知过程模型，IRIS从按键日志中推断写作过程状态，并通过AI增强的版本历史呈现这些状态。IRIS提供三种主要交互功能：修订高亮，原位显示局部过程历史；概念筛选，按过程类型或主题约束版本历史；自然语言查询，允许作者对自身写作及过程提出反思性问题。经过形成性研究和纵向研究，我们发现作者使用这些界面定位特定修订、理解写作进展，将系统输出作为解释材料，关联既有认知并确认、挑战、深化对自身写作的理解。
英文摘要
Much of the text produced throughout the lifetime of a document is impermanent. In this paper, we explore how writing activity traces can be made visible and interactive to help writers navigate their document histories and understand their writing processes. Using the Flower and Hayes cognitive process model of writing, IRIS infers writing process states from keystroke logs and presents them using an AI-enhanced version history. IRIS provides three primary interactions: revision highlighting that shows local process histories in-situ, conceptual filters that constrain the version history by process type or topic, and natural language inquiry that lets writers pose reflective questions about their writing and process. Following a formative and a longitudinal study, we find that writers use the interfaces to locate specific revisions and understand the progression of their writing. They use system outputs as interpretive material, relating them to pre-existing beliefs and confirming, challenging, and deepening their understanding of their writing.
