Conversational AI-Powered Design: ChatGPT as Designer, User, and Product

TL;DR

This paper explores ChatGPT's capabilities in human-centered design, demonstrating its effectiveness in generating design elements and simulating user interactions, while also discussing its limitations and future potential.

Contribution

It introduces a novel application of ChatGPT in design processes, showcasing its ability to perform multiple roles and tasks within a human-centered design framework.

Findings

ChatGPT effectively generated personas and design ideas.

It simulated user interviews and usage scenarios successfully.

Limitations include forgotten information and response diversity issues.

Abstract

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.