DesignGPT: Multi-Agent Collaboration in Design
This work addresses usability and interaction issues for designers using AI in product design, though it appears incremental as it builds on existing multi-agent and design thinking concepts.
The paper tackles the challenge of integrating generative AI into product design workflows by developing DesignGPT, a multi-agent collaboration framework that simulates roles in a design company and allows human designers to collaborate with AI agents in natural language, resulting in improved designer performance compared to separate AI tools.
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.