The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a human-centered design process. To this end, a hypothetical design project was conducted, where ChatGPT was utilized to generate personas, simulate interviews with fictional users, create new design ideas, simulate usage scenarios and conversations between an imaginary prototype and fictional users, and lastly evaluate user experience. The results show that ChatGPT effectively performed the tasks assigned to it as a designer, user, or product, providing mostly appropriate responses. The study does, however, highlight some drawbacks such as forgotten information, partial responses, and a lack of output diversity. The paper explains the potential benefits and limitations of using conversational LLMs in design, discusses its implications, and suggests directions for future research in this rapidly evolving area.

翻译：大型语言模型（LLMs）的最新进展，特别是ChatGPT等对话式LLMs，已在包括设计在内的多个领域引发变革。本研究旨在探究ChatGPT在以人为中心的设计流程中的能力。为此，我们开展了一项假设性设计项目：利用ChatGPT生成用户画像、模拟对虚构用户的访谈、创造新设计构思、模拟使用场景及原型系统与虚构用户的对话，最终评估用户体验。结果表明，ChatGPT能有效执行作为设计师、用户或产品所分配的任务，并大多给出恰当回应。然而，研究也揭示了一些不足，如信息遗忘、回答不完整以及输出多样性匮乏等问题。本文阐述了在设计中使用对话式LLMs的潜在优势与局限性，探讨其启示意义，并为此快速演进领域中的未来研究提供了方向。