用自然语言精准控制原型模型，让设计师无需复杂命令即可高效修改设计。
Targeted control of fast prototyping through domain-specific interface
- 构建领域专用接口，打通设计语言与建模语言的鸿沟。
- 在多领域设计实验中实现精准、高效的原型控制效果。
- 适合工业设计、快速原型开发等需要自然语言交互的场景。
工业设计师长期寻求一种自然直观的方式，通过简单的自然语言指令无缝配置和调整原型模型，以实现其设计意图，而无需依赖复杂的建模命令。尽管大型语言模型在该领域展现出潜力，但其通过语言控制原型模型的潜能仍部分未被充分挖掘。这一局限源于设计师语言与建模语言之间的差距，包括抽象层级不匹配、语义精度波动以及词汇范围偏离。为此，我们提出一种作为两者中介的接口架构。基于对快速原型实践的系统性研究提炼出的设计原则，我们设计了接口的操作机制，并开发了一种自动化领域定义算法。机器评估与跨多个产品设计领域的用户研究均表明，该接口可作为大型语言模型的辅助模块，实现对原型模型的精确且有效的目标化控制。
原文摘要 · Abstract (English)
Industrial designers have long sought a natural and intuitive way to achieve the targeted control of prototype models -- using simple natural language instructions to configure and adjust the models seamlessly according to their intentions, without relying on complex modeling commands. While Large Language Models have shown promise in this area, their potential for controlling prototype models through language remains partially underutilized. This limitation stems from gaps between designers' languages and modeling languages, including mismatch in abstraction levels, fluctuation in semantic precision, and divergence in lexical scopes. To bridge these gaps, we propose an interface architecture that serves as a medium between the two languages. Grounded in design principles derived from a systematic investigation of fast prototyping practices, we devise the interface's operational mechanism and develop an algorithm for its automated domain specification. Both machine-based evaluations and human studies on fast prototyping across various product design domains demonstrate the interface's potential to function as an auxiliary module for Large Language Models, enabling precise and effective targeted control of prototype models.
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