In the field of Human-Computer Interaction (HCI), interactive devices with embedded mechanical computation are gaining attention. The rise of these cutting-edge devices has created a need for specialized design tools that democratize the prototyping process. While current tools streamline prototyping through parametric design and simulation, they often come with a steep learning curve and may not fully support creative ideation. In this study, we use fluidic computation interfaces as a case study to explore how design tools for such devices can be augmented by Large Language Model agents (LLMs). Integrated with LLMs, the Generative Design Tool (GDT) better understands the capabilities and limitations of new technologies, proposes diverse and practical applications, and suggests designs that are technically and contextually appropriate. Additionally, it generates design parameters for visualizing results and producing fabrication-ready support files. This paper details the GDT's framework, implementation, and performance while addressing its potential and challenges.

翻译：在人机交互领域，嵌入机械计算的交互设备正日益受到关注。这些前沿设备的兴起催生了对专业化设计工具的需求，以普及原型制作过程。现有工具虽通过参数化设计与仿真简化了原型制作，但通常学习曲线陡峭，且可能无法充分支持创意构思。本研究以流体计算界面为案例，探讨如何通过大型语言模型智能体增强此类设备的设计工具。与LLM集成的生成式设计工具能更好地理解新技术的优势与局限，提出多样且实用的应用方案，并推荐技术上合理、情境适配的设计。此外，该工具可生成用于可视化结果及制备生产就绪支撑文件的设计参数。本文详述了GDT的框架、实现与性能，同时探讨了其潜力与挑战。