提出8条职场AI协作的用户体验原则，助力企业落地可信AI助手。
A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace
- 通过多方法验证，提炼出8项人机协作核心设计原则。
- 原则配套具体标准，为设计提供可操作的实践指南。
- 适合关注企业AI落地与用户体验的研究者和开发者。
随着AI代理融入业务流程，建立指导性用户体验（UX）原则对确保用户信任和成功采纳至关重要。本研究采用多方法综合策略——包括参与式设计工作坊、纸笔调研、专家评审、元分析及深度访谈——识别并验证了职场环境中人机交互的八项核心用户体验原则。这些原则及其底层标准为设计师和软件工程师提供了可执行的行动准则，奠定了构建高效且以人为本的AI代理交互的基础。本研究为未来企业场景中代理型AI的实证研究提供了结构化基础。
原文摘要 · Abstract (English)
As AI agents become integral to business workflows, establishing guiding user experience (UX) principles is crucial for ensuring user trust and successful adoption. To address this, our study uses a multi-method approach - combining participatory design workshop, paper-and-pencil, expert review, meta-analysis, and in-depth interviews - to identify and validate a design framework of eight core UX principles for human-AI agent interaction in the workplace. Together with their underlying criteria, these principles provide actionable guardrails for designers and software engineers, creating a foundation for developing effective and human-centered AI agent interactions. This study contributes to a structured foundation for future empirical studies on agentic AI in enterprise settings.
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