调研27人半年使用体验，发现M365 Copilot在邮件和会议中有效但存在理解不足与隐私担忧。
A Qualitative Study of User Perception of M365 AI Copilot
- 通过半年试用与访谈，分析用户对Copilot的使用感受与实际效果。
- 多数人认可其在邮件、会议总结等任务中的帮助，但深层理解能力不足。
- 适合关注AI办公工具落地挑战的从业者，尤其关心数据安全与人机协作者。
将AI协作者引入专业工作流程可提升生产力、效率与决策质量。本文报告了2024年在本组织开展的六个月M365 Copilot试用结果。通过对27名参与者进行定性访谈，研究探讨了用户对Copilot有效性、生产率影响、期望演变、伦理关切及总体满意度的看法。初期热情逐渐转为混合反馈：部分用户认为该工具在邮件指导、会议摘要和内容检索方面有显著帮助；但另一些用户指出，在需要深度上下文理解、推理及与现有工作流整合的任务上未达预期。数据隐私、透明度和算法偏见成为反复出现的伦理问题。尽管在特定操作场景中展现价值，其广泛影响仍受限于可用性缺陷及需人工校验生成内容的需求。
原文摘要 · Abstract (English)
Adopting AI copilots in professional workflows presents opportunities for enhanced productivity, efficiency, and decision making. In this paper, we present results from a six month trial of M365 Copilot conducted at our organisation in 2024. A qualitative interview study was carried out with 27 participants. The study explored user perceptions of M365 Copilot's effectiveness, productivity impact, evolving expectations, ethical concerns, and overall satisfaction. Initial enthusiasm for the tool was met with mixed post trial experiences. While some users found M365 Copilot beneficial for tasks such as email coaching, meeting summaries, and content retrieval, others reported unmet expectations in areas requiring deeper contextual understanding, reasoning, and integration with existing workflows. Ethical concerns were a recurring theme, with users highlighting issues related to data privacy, transparency, and AI bias. While M365 Copilot demonstrated value in specific operational areas, its broader impact remained constrained by usability limitations and the need for human oversight to validate AI generated outputs.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。