DesignGPT: Multi-Agent Collaboration in Design

Shiying Ding, Xinyi Chen, Yan Fang, Wenrui Liu, Yiwu Qiu +1 more
11/20/2023
cs.AIcs.HC

No confident code implementation found for this paper. 5 possible matches can be shown below.

Abstract

Generative AI faces many challenges when entering the product design workflow, such as interface usability and interaction patterns. Therefore, based on design thinking and design process, we developed the DesignGPT multi-agent collaboration framework, which uses artificial intelligence agents to simulate the roles of different positions in the design company and allows human designers to collaborate with them in natural language. Experimental results show that compared with separate AI tools, DesignGPT improves the performance of designers, highlighting the potential of applying multi-agent systems that integrate design domain knowledge to product scheme design.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 5 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{ding2023designgpt,
  title  = {DesignGPT: Multi-Agent Collaboration in Design},
  author = {Shiying Ding and Xinyi Chen and Yan Fang and Wenrui Liu and Yiwu Qiu and Chunlei Chai},
  year   = {2023},
  eprint = {2311.11591},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.11591v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2311.11591.svg)](https://codeofpaper.com/paper/2311.11591)

Discussion