DesignGPT: Multi-Agent Collaboration in Design
Shiying Ding, Xinyi Chen, Yan Fang, Wenrui Liu, Yiwu Qiu, Chunlei Chai
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.
Topics & Concepts
Computer scienceKnowledge managementHuman–computer interactionMulti-Agent Systems and NegotiationSemantic Web and OntologiesBusiness Process Modeling and Analysis