Problem
Research questions and friction points this paper is trying to address.
writing activity traces
document histories
writing processes
IRIS: Navigating and Reflecting on Writing Traces Using Intelligent Document Histories
🤖 AI Summary
本文通过智能文档历史记录技术，使写作过程痕迹可视化和可交互，帮助作者理解其写作进程。方法包括修订高亮、概念过滤器及自然语言查询。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Intelligent Document Histories
Writing Process States
Revision Highlighting
Conceptual Filters
Natural Language Inquiry
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