Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing
Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing
Humanly：一个可配置且可追溯的人机协作写作环境
Abstract: Teachers, conference chairs, and public readers all judge writing from limited evidence, seeing only a finished document and not the process that produced it. Final text alone cannot reveal whether a document was produced through human typing, AI generation, or mixed human-AI collaboration.
摘要： 教师、会议主席和公众读者在评判写作时往往依据有限的证据，他们只能看到最终完成的文档，而无法了解其创作过程。仅凭最终文本，无法判断一份文档究竟是人工撰写、AI 生成，还是人机协作的产物。
Existing process-tracking tools help, but many are tied to host-document histories, provide coarse activity records, and offer limited control over the writing environment. Humanly is a writing platform that makes the writing process itself the evidence. Users configure writing environments for personal documents or assigned tasks and draft in a workspace that records writing activity and in-platform AI assistance.
现有的过程追踪工具虽然有所帮助，但大多绑定于宿主文档的历史记录，提供的活动记录较为粗糙，且对写作环境的控制有限。Humanly 是一个将“写作过程本身”作为证据的写作平台。用户可以为个人文档或指定任务配置写作环境，并在一个能够记录写作活动及平台内 AI 辅助行为的工作区中进行草拟。
Humanly can package a completed session into a sealed writing certificate with configuration-aware anomaly behavior review. It can support writing scenarios such as course assignments, peer review, and personal certification. Our user study shows that Humanly is helpful across roles, and a red-teaming study shows that the Humanly Typing Detector distinguishes human hand typing from automated typing.
Humanly 可以将完成的写作会话打包成一份带有“配置感知异常行为审查”功能的密封写作证书。它能够支持课程作业、同行评审和个人认证等多种写作场景。我们的用户研究表明，Humanly 对各类角色均有助益；红队测试研究也显示，Humanly 的打字检测器能够有效区分人工手动输入与自动化输入。
Paper Details:
- Authors: Shenzhe Zhu, Haoqian Zhang, Xu Yang, Jingyu Tang, Yi Nian, Xiaoxue Du, Shu Yang, Alex Pentland, Joachim Baumann, Jiaxin Pei
- Subject: Computation and Language (cs.CL)
- Date: 23 Jul 2026
- DOI: 10.48550/arXiv.2607.21758
论文详情：
- 作者： Shenzhe Zhu, Haoqian Zhang, Xu Yang, Jingyu Tang, Yi Nian, Xiaoxue Du, Shu Yang, Alex Pentland, Joachim Baumann, Jiaxin Pei
- 学科： 计算与语言 (cs.CL)
- 日期： 2026年7月23日
- DOI： 10.48550/arXiv.2607.21758