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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计算机作为共同创意的助手。使用文本到图像人工智能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人工智能模型和形状语法之间的比较研究，形状语法是计算机辅助概念设计的主要生成方法之一。目标是确定人工智能模型可以在多大程度上重现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。通过全面的实际比较示例确定了工作流程、优点和局限性。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人工智能模型的几个优点，包括更简单的捕获产品语法的方法以及更广泛和更直接的进一步应用。相比之下，形状语法方法在探索工作流程和认知刺激相关方面被证明更为可靠。这些结果鼓励研究解决设计师和人工智能生成模型之间交互的新方法，将人工智能潜力与完善的生成策略相结合。