#101 Designing for AI Agents: The Future of UX Beyond Interfaces

2025/2/20

Future of UX | Your Design, Tech and User Experience Podcast | AI Design

Patricia Reiners

@Patricia Reiners : 随着人工智能技术的发展，用户体验设计正在经历一场巨大的变革。传统的用户界面设计，例如设计按钮、屏幕和导航流程，正在逐渐被设计AI代理所取代。AI不再仅仅响应用户的输入，而是能够自主做出决策，这使得用户与AI之间的交互方式发生了根本性的变化。我们正从用户界面转向用户与AI代理的协作模式。这引发了几个关键问题：如何设计AI代理而非静态界面？如何确保AI值得信赖、可预测且以用户为中心？以及AI设计是否正在从界面设计转向AI行为设计？在传统的用户体验设计中，用户通过点击、搜索和导航与界面进行交互。而现在，用户可以将任务委托给自主运行的AI代理，例如ChatGPT的AI操作员或Google Gemini AI代理。这些AI代理能够连接不同的平台和服务，自动执行各种任务，例如预订航班和酒店、搜索菜谱并购买食材等。用户可以观察AI的操作过程，这是一种全新的用户体验。设计AI代理面临的主要挑战是信任和可解释性。用户需要理解AI是如何做出决策的，否则他们不会信任AI。为了提升信任度，AI应该透明地解释其决策过程，并允许用户调整或干预AI的行为。AI应该辅助而非取代用户的决策，用户应该对重要的行动拥有最终决定权。设计面向AI的UX需要新的原则，例如可预测性、可解释性、可纠正性和适应性。AI应该像助手一样，而不是独裁者。可预测性意味着AI的行为不应是随机的，用户应该能够预知AI将要做什么。可解释性意味着AI的决策过程应该清晰透明，用户应该能够理解AI做出特定选择的原因。可纠正性意味着AI应该允许用户纠正其错误或调整其行为。适应性意味着AI应该能够学习用户的偏好并根据用户的偏好调整其行为。未来，UX设计将不再仅仅关注屏幕和界面，而是转向塑造AI行为。UX设计师的角色将从界面创建者转变为行为架构师，我们需要学习如何教AI与人类进行交互。AI代理不会取代UX设计师，但它们会改变我们设计的方式。

Deep Dive

Chapters

This chapter introduces the core question of the podcast: as AI takes over decision-making, what is the future of UX design? It discusses the shift from designing interfaces to designing for AI agents and the challenges of trust, predictability, and user control.

AI is changing UX design from interface design to AI agent design.
The focus shifts from user input to AI's autonomous decisions.
Key questions are raised about designing for trustworthy and user-centered AI.

Shownotes Transcript

In this episode, we explore one of the biggest shifts happening in UX: designing for AI agents instead of traditional interfaces. As AI moves from merely responding to user inputs to making autonomous decisions, what does this mean for UX designers? We discuss the transition from screens and menus to AI-driven user-agent collaboration, the challenges of trust, explainability, and user autonomy, and the new UX principles needed to ensure AI remains predictable, transparent, and adaptable.

Key Takeaways:

✔️ Trust & Explainability – Designing AI that is transparent and predictable
✔️ User Autonomy – Balancing automation with user control
✔️ AI Behavior Design – Shifting from interface design to shaping AI decision-making
✔️ New UX Principles – Ensuring AI adapts, learns, and remains human-centered

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