在大语言模型（LLM）时代重新评估协同写作理论与框架：哪些仍然适用，哪些必须摒弃
Reassessing Collaborative Writing Theories and Frameworks in the Age of LLMs: What Still Applies and What We Must Leave Behind
AI总结：
本文批判性回顾人际协同写作理论框架，评估其在人机范式中的相关性，发现AI写作导致认知流程变为规划/等待/审查并提出“原型设计”方法，提炼七大见解及设计启示，为人机协同写作工具提供理论与设计指导。
摘要：
本文批判性回顾了现有人际协同写作的理论与框架，评估其在组织工作场所中当前人机范式的相关性，并提炼出七大见解及对人机协同写作工具的设计启示。主要发现是：随着我们将更多写作任务委托给AI，认知过程从传统的规划/翻译/审查流程转变为规划/等待/审查流程，因中间出现的等待环节打破了原有流程。为确保认知过程的完整性，我们提出“原型设计”方法，即工具通过从较小文本块入手、逐步扩展为完整文档的方式，实现认知过程的更快迭代。本文旨在为人机协同写作的交互设计提供理论基础与实用设计指导，以助力未来人机写作软件的优化。
英文摘要：
In this paper, we conduct a critical review of existing theories and frameworks on human-human collaborative writing to assess their relevance to the current human-AI paradigm in organizational workplace settings, and draw seven insights along with design implications for human-AI collaborative writing tools. Our main finding was that, as we delegate more writing to AI, our cognitive process shifts from the traditional planning/translating/reviewing process to a planning/waiting/reviewing process, breaking the process due to the waiting that occurs in between. To ensure that our cognitive process remains intact, we suggest a "prototyping" approach, where the tool allows for faster iterations of the cognitive process by starting with smaller chunks of text, and gradually moving on to a fully fleshed-out document. We aim to bring theoretical grounding and practical design guidance to the interaction designs of human-AI collaborative writing, with the goal of enhancing future human-AI writing software.
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。
