研究人员开发了WorkflowView，这是一个利用大型语言模型（LLM）将原始用户交互日志转化为可理解的高级活动的新框架。该方法解决了先前深度学习方法在处理噪声和跨应用程序泛化方面的局限性。WorkflowView在重建浏览器日志描述、预测MOOC数据中的学生辍学率以及分析Microsoft Word工作流中的AI工具集成等任务中显示了有效性，突显了其在隐私保护方面的潜力。 AI
影响 通过将原始交互数据转化为可解释的见解，增强了对用户行为的理解，可能改进数字产品设计和AI工具集成。
排序理由 该集群描述了一篇关于使用LLM抽象用户动作的新框架的研究论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.14654v1 Announce Type: new Abstract: Sequential or time-stamped interaction logs provide objective records of digital application usage, yet their granularity and noise often obscure meaningful insights into people's work. Such insights are essential for improving digi…
Sequential or time-stamped interaction logs provide objective records of digital application usage, yet their granularity and noise often obscure meaningful insights into people's work. Such insights are essential for improving digital products in ways grounded in real-world user…