pith. sign in

arxiv: 2302.07406 · v1 · pith:6N6XEEG5new · submitted 2023-02-15 · 💻 cs.HC · cs.AI

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

classification 💻 cs.HC cs.AI
keywords designchatgptconversationalllmsuserdesignerfictionalproduct
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. The Bias Paradox: How AI Personas Can Overcome Human Limitations in UX Research

    cs.HC 2026-05 unverdicted novelty 3.0

    Position paper argues AI personas can avoid context biases in UX research, based on experience developing them via custom GPT for a banking client design workshop.