Generative artificial intelligence (GenAI) can rapidly produce large and diverse volumes of content. This lends to it a quality of creativity which can be empowering in the early stages of design. In seeking to understand how creative ways to address practical issues can be conceived between humans and GenAI, we conducted a rapid ideation workshop with 21 participants where they used a large language model (LLM) to brainstorm potential solutions and evaluate them. We found that the LLM produced a greater variety of ideas that were of high quality, though not necessarily of higher quality than human-generated ideas. Participants typically prompted in a straightforward manner with concise instructions. We also observed two collaborative dynamics with the LLM fulfilling a consulting role or an assisting role depending on the goals of the users. Notably, we observed an atypical anti-collaboration dynamic where participants used an antagonistic approach to prompt the LLM.

翻译：生成式人工智能（GenAI）能够快速生成数量庞大且多样化的内容，这赋予了其一定的创造性品质，在设计的早期阶段具有赋能作用。为探究人类与GenAI如何协同构思解决实际问题的创造性方案，我们组织了一场有21名参与者参加的快速创意生成工作坊。参与者使用大语言模型（LLM）进行头脑风暴以提出潜在解决方案，并对其进行评估。研究发现，LLM能产生更多样化且质量较高的创意，但未必比人类生成的创意质量更高。参与者通常以简洁指令进行直接提示。我们还观察到两种协作动态：LLM根据用户目标分别扮演咨询角色或辅助角色。值得注意的是，我们观察到一种非典型的反协作动态——参与者采用对抗性方式提示LLM。