arXiv:2507.15885cs.AIcs.HC2025-07

提出一套用户中心的AI智能体能力框架,统一设计标准。

ADEPTS: A Capability Framework for Human-Centered Agent Design

  • 基于六大原则构建用户可感知的核心能力体系
  • 填补技术与体验间的设计语言空白,提升可信度
  • 适合研究者、设计师、工程师和政策制定者协同使用

大型语言模型推动了强大且灵活的AI智能体发展,它们正日益融入人类日常生活。这种灵活性、潜力和广泛应用,要求采用跨学科的综合方法来定义、监控和讨论智能体所需的能力。然而,现有指导分散:用户体验启发式关注界面行为,工程分类描述内部流程,伦理清单聚焦高层治理。目前缺乏一个简洁、面向用户的词汇体系来明确智能体应具备的根本能力。本文提出ADEPTS,一套核心用户面向能力框架,为开发AI智能体提供统一指引。ADEPTS基于六项人本智能体设计原则,体现智能体在日常使用中应具备的最基本、可感知的能力,以确保其可理解、可控制和可信。该框架补充现有体系,不同于以往,它位于技术和体验开发的交界处。通过提出ADEPTS,我们旨在将复杂的AI-UX需求浓缩为可操作的指导,适用于研究人员、设计师、工程师及政策评审者。我们相信,ADEPTS有望加速提升与用户相关的能力,简化利用这些能力的体验设计,并提供一个共享语言,用于追踪和讨论智能体发展的进展。

原文摘要 · Abstract (English)

Large language models have paved the way to powerful and flexible AI agents, assisting humans by increasingly integrating into their daily life. This flexibility, potential, and growing adoption demands a holistic and cross-disciplinary approach to developing, monitoring and discussing the capabilities required for agent-driven user experiences. However, current guidance on human-centered AI agent development is scattered: UX heuristics focus on interface behaviors, engineering taxonomies describe internal pipelines, and ethics checklists address high-level governance. There is no concise, user-facing vocabulary that tells teams what an agent should fundamentally be able to do. We introduce ADEPTS, a capability framework defining a set of core user-facing capabilities to provide unified guidance around the development of AI agents. ADEPTS is based on six principles for human-centered agent design, that express the minimal, user-facing capabilities an AI agent should demonstrate to be understandable, controllable and trustworthy in everyday use. ADEPTS complements existing frameworks and taxonomies; differently from them, it sits at the interface between technical and experience development. By presenting ADEPTS, we aim to condense complex AI-UX requirements into a compact framework that is actionable guidance for AI researchers, designers, engineers, and policy reviewers alike. We believe ADEPTS has the potential of accelerating the improvement of user-relevant agent capabilities, of easing the design of experiences that take advantage of those capabilities, and of providing a shared language to track and discuss progress around the development of AI agents.

智能体人机交互设计框架

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