  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.
