为智能体与人交互提出14条设计原则，提升可用性与可信度。
Design Principles for Human-Agent Interaction
- 从初始、互动、长期和故障四阶段提炼14条交互设计原则。
- 用9个智能体系统验证原则有效性，提升真实场景下的可用性。
- 适合关注人机协作的开发者与产品设计者参考。
AI智能体正迅速演变为具备持续交互、工具使用和长期协作能力的自主系统，但其在现实世界中的应用仍受限，表明关键障碍不仅在于技术能力，更在于缺乏成功人机交互的设计知识。本文主张，智能体不应仅依据自主任务能力进行评估或部署；由于智能体会与人类互动、适应、影响甚至失败于人类，因此人机交互必须作为智能体设计与评估的核心目标。文中提出14条设计原则，涵盖四个交互阶段：初始阶段、互动期间、长期关系以及出错时。通过这九个智能体系统的案例分析，验证了这些原则可为设计团队提供系统化指导，确保智能体在真实交互环境中具备可用性、可信度与有效性。
原文摘要 · Abstract (English)
AI agents are rapidly evolving into autonomous systems capable of sustained interaction, tool use, and long-term collaboration. Yet their real-world adoption remains limited, suggesting that the key barrier lies not only in technical capability but also in a lack of design knowledge for successful human-agent interaction. This position paper argues that AI agents should not be solely evaluated or deployed based on autonomous task capability alone; because agents interact with, adapt to, influence, and sometimes fail humans, human-agent interaction must be treated as a core design and evaluation target for agentic AI. We present 14 design principles that articulate the ideal human-agent relationship across four interaction stages: initially, during interaction, over time, and when things go wrong. We use these principles to evaluate nine agent systems to illustrate that these design principles can provide actionable guidance for AI design teams to systematically design and evaluate agents that are usable, trustworthy, and effective in real-world interactive settings.
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。