面向认知过程感知的主动式写作支持
Towards Cognitive Process-Aware Proactive Writing Support
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- Sony Group Corporation（索尼集团公司）
- University of California, Los Angeles（加利福尼亚大学洛杉矶分校）
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中文总结 AI 辅助
本研究基于Flower与Hayes的写作认知过程理论，构建AToM CoWriter框架，经两项研究验证其可提升写作的表达力与创意探索，为主动式写作系统的支持选择提供新基础。
中文摘要 AI 辅助
大语言模型可支持写作，但现有工具需用户明确表述提示词，在创意写作中尤其繁琐，因创意写作的意图往往模糊不清。可从写作交互中推断用户需求的主动式支持能减轻此负担，但存在两大挑战：确定提供何种支持及何时介入。本研究聚焦前者，假设Flower与Hayes的写作认知过程理论（该理论通过六个认知过程刻画写作）可构成可解释的桥梁，连接可观测的写作行为与合适的支持类型。通过形成性研究与文献综述，本研究确定了与这些认知过程相关的14种写作支持类型，以及与每个过程关联的特征性交互行为。随后，本研究将该框架实例化为AToM CoWriter，该系统可从写作交互与文档语境中推断支持需求。两项被试内研究（N=21）提供初步证据，表明该方法可提升表达力与创意探索，且认知过程推断能增加用户对主动式建议的参与度。这些发现表明，认知过程可为主动式写作系统的支持选择提供有前景的基础。
英文摘要
Large language models can support writing, but existing tools require users to explicitly articulate prompts-particularly burdensome in creative writing, where intentions are often ambiguous. Proactive support that infers users' needs from writing interactions could alleviate this burden, but raises two challenges: determining what support to provide and when to intervene. This work focuses on the former. We hypothesize that Flower and Hayes' cognitive process theory of writing-which characterizes writing through six cognitive processes-offers an interpretable bridge between observable writing behavior and appropriate support types. Through a formative study and literature review, we identify 14 writing support types associated with these cognitive processes, along with characteristic interaction behaviors linked to each process. We then instantiate this framework in AToM CoWriter, which infers support needs from writing interactions and document context. Two within-subjects studies (N = 21) provide initial evidence that this approach improves expressiveness and idea exploration, and that cognitive process inference increases engagement with proactive suggestions. These findings suggest that cognitive processes can provide a promising basis for support selection in proactive writing systems.
