  In the field of Human-Computer Interaction (HCI), the development of
interactive devices represents a significant area of focus. The advent of novel
hardware and advanced fabrication techniques has underscored the demand for
specialized design tools that democratize the prototyping process for such
cutting-edge devices. While these tools simplify the process through parametric
design and simulation, they typically require a certain learning curve and
often fall short in facilitating creative ideation. In this study, we employ
fluidic computation interface as a case study to investigate the potential of
augmenting design tools of physical devices with Large Language Model (LLM)
agents. Enhanced by LLM agents, the Generative Design Tool (GDT) can comprehend
the capabilities and limitations of newly developed devices; it can propose
varied, insightful, and practical application scenarios, and recommend device
designs that are technically and contextually appropriate. Furthermore, it
generates the necessary design parameters for the traditional part of the
design tool to visualize results and produce support files for fabrication.
This paper outlines the GDT's framework, implementation, and performance, while
also contemplating its prospects and the obstacles encountered.
