arXiv：cs.AI· Nathan Conklin, Miranda Capra, Chris North·· 4 小时前AI 评分30
将 HCI 原则自动化：按需 UI 构建技能、人机“思考空间”与 HCI 的未来
Automating the Application of HCI Principles: Skills for On-Demand UI Construction, the Human-AI Space to Think, and the Future of HCI
AI 导读
研究者提出将 Nielsen 启发式、Norman 可供性、WCAG 成功标准等经典 HCI 设计知识编码为机器可读的 skills，供生成式智能体在运行时加载，使按需生成的 UI 从“能生成”走向“生成得好”。该框架把用户与 AI 的对话视为共享的“思考空间”，任务分解直接产出作为思维延伸的界面，而非独立产物。作者据此勾勒研究议程，主张 HCI 从启发式清单走向机器可读、可执行、开放的工艺。
正文
Abstract:Human-computer interaction (HCI) is in the middle of a transition: large language models can now generate functional user interfaces (UIs) on demand from natural-language task descriptions. A user explains what they are trying to accomplish, and the system materializes a working interface to support it. This capability already exists in systems such as Claude and ChatGPT and continues to grow in fidelity as the underlying models improve. The next step along this trajectory is to move from interfaces that are merely generated to interfaces that are generated well. We propose a framework in which the dialogue between user and artificial intelligence (AI) becomes a Space to Think: a shared, structured cognitive workspace in which task decomposition produces an on-demand user interface as an extension of the user's thinking rather than as a separate artifact. Within this paradigm, classical HCI design knowledge (Nielsen's heuristics, Norman's affordance prescriptions, Web Content Accessibility Guidelines (WCAG) success criteria, cognitive-load constraints, and mixed-initiative principles) is encoded as skills: machine-readable this http URL files that the generating agent loads at runtime as software engineering tools. Skills turn HCI design knowledge into declarative, inspectable, version-controlled, and editable artifacts owned by the HCI community itself so that accessibility, learnability, and consistency become properties of a generative process rather than properties of a finished product. We outline a research agenda depicting a future where the HCI field transitions from today's design and knowledge heuristic checklist towards a future where the craft becomes machine-readable, executable, and open.
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.02369 [cs.HC] |
| (or arXiv:2610.02369v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.02369 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Nathan Conklin [view email]
[v1]
Thu, 1 Oct 2026 18:45:43 UTC (1,423 KB)
来源：arXiv：cs.AI · arxiv.org