Recent advancements in Natural Language Processing have opened up new possibilities for the development of large language models like ChatGPT, which can facilitate knowledge management in the design process by providing designers with access to a vast array of relevant information. However, integrating ChatGPT into the design process also presents new challenges. In this paper, we provide a concise review of the classification and representation of design knowledge, and past efforts to support designers in acquiring knowledge. We analyze the opportunities and challenges that ChatGPT presents for knowledge management in design and propose promising future research directions. A case study is conducted to validate the advantages and drawbacks of ChatGPT, showing that designers can acquire targeted knowledge from various domains, but the quality of the acquired knowledge is highly dependent on the prompt.

翻译：自然语言处理领域的最新进展为ChatGPT等大语言模型的发展开辟了新可能，这些模型能够通过为设计人员提供海量相关信息的访问渠道，促进设计过程中的知识管理。然而，将ChatGPT融入设计流程也带来了新挑战。本文对设计知识的分类与表示方法，以及过往支持设计师获取知识的研究工作进行了简要综述。我们分析了ChatGPT为设计知识管理带来的机遇与挑战，并提出了具有前景的未来研究方向。通过案例研究验证了ChatGPT的优势与不足，结果表明：设计师可从不同领域获取针对性知识，但知识获取质量高度依赖于提示词的设计。