This preliminary research presents a comparative study between Text-to-Image AI models and Shape Grammars, one of the main generative approaches to Computer Aided Conceptual Design. The goal is to determine to which extent AI models can reproduce or complement the performance of grammar algorithms as creative support tools for shape exploration in conceptual product design. Workflows, advantages and limitations are identified through a comprehensive practical comparison example. The results show many similarities regarding generative capabilities and highlight several advantages of Text-to-Image AI models, including an easier way of capturing product grammars and a wider and more immediate range of further applications. In contrast, Shape Grammars approach proved more solid in aspects related to exploration workflows and cognitive stimulation. These results encourage the research on new ways to address the interaction between designers and AI generative models, combining the AI potential with well-established generative strategies.

中文翻译：

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计算机作为共同创造的助手。使用文本到图像 AI 模型进行计算机辅助概念设计的比较研究


这项初步研究提出了文本到图像 AI 模型和 Shape Grammars 之间的比较研究，Shape Grammars 是计算机辅助概念设计的主要生成方法之一。目标是确定 AI 模型可以在多大程度上复制或补充语法算法的性能，作为概念产品设计中形状探索的创造性支持工具。通过一个全面的实际比较示例确定工作流程、优势和局限性。结果显示了生成能力方面的许多相似之处，并突出了文本到图像 AI 模型的几个优势，包括捕获产品语法的更简单方法以及更广泛、更直接的进一步应用范围。相比之下，Shape Grammars 方法在探索工作流程和认知刺激方面被证明更加可靠。这些结果鼓励研究解决设计师和 AI 生成模型之间交互的新方法，将 AI 潜力与成熟的生成策略相结合。