Homogenization Effects of Large Language Models on Human Creative Ideation

• DOI: 10.1145/3635636.3656204
• Publication Date: 2024-06-22T10:24:22Z
• Authors: Barrett R Anderson; Jash Hemant Shah; Max Kreminski
• Keywords: Homogenization; Ideation

Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas. But do LLMs actually user creativity? We hypothesized that the use an LLM CST might make LLM's feel more creative, and even broaden range ideas suggested by each individual user, but also homogenize different users. conducted 36-participant comparative study found, accordance homogenization hypothesis, tended produce less semantically distinct ChatGPT than alternative CST. Additionally, generated greater number detailed ideas, felt responsible for they generated. discuss potential implications these findings users, designers, developers LLM-based CSTs.