Supermind Ideator: Exploring generative AI to support creative problem-solving

Steven R. Rick, Gianni Giacomelli, Haoran Wen, Robert J. Laubacher, Nancy Taubenslag +7 more
11/3/2023
cs.AIcs.HC

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Abstract

Previous efforts to support creative problem-solving have included (a) techniques (such as brainstorming and design thinking) to stimulate creative ideas, and (b) software tools to record and share these ideas. Now, generative AI technologies can suggest new ideas that might never have occurred to the users, and users can then select from these ideas or use them to stimulate even more ideas. Here, we describe such a system, Supermind Ideator. The system uses a large language model (GPT 3.5) and adds prompting, fine tuning, and a user interface specifically designed to help people use creative problem-solving techniques. Some of these techniques can be applied to any problem; others are specifically intended to help generate innovative ideas about how to design groups of people and/or computers ("superminds"). We also describe our early experiences with using this system and suggest ways it could be extended to support additional techniques for other specific problem-solving domains.

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Cite this paper

@article{rick2023supermind,
  title  = {Supermind Ideator: Exploring generative AI to support creative problem-solving},
  author = {Steven R. Rick and Gianni Giacomelli and Haoran Wen and Robert J. Laubacher and Nancy Taubenslag and Jennifer L. Heyman and Max Sina Knicker and Younes Jeddi and Hendrik Maier and Stephen Dwyer and Pranav Ragupathy and Thomas W. Malone},
  year   = {2023},
  eprint = {2311.01937},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.01937v1}
}

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