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：大语言模型(LLMS)最近的进展,特别是像ChateGPT那样的谈话性LLMS(LLMS)的发展,促使包括设计在内的一系列领域发生变化。本研究旨在审查ChatGPT在以人为中心的设计过程中的能力。为此,开展了一个假设设计项目,利用ChatGPT产生人性,模拟与虚构用户的访谈,创造新的设计想法,模拟使用假想原型用户和虚构用户之间的使用情景和对话,最后评估用户经验。结果显示,ChatGPT有效地完成了指派给它的任务,作为设计者、用户或产品,提供了大部分适当的回应。然而,本研究确实强调了一些缺点,如被遗忘的信息、部分回应和缺乏产出多样性。本文解释了在设计中使用谈话性LMS的潜在好处和局限性,讨论了其影响,并为这一迅速变化的领域的未来研究提出了方向。
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