  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.
