March 3, 2026Design ScienceOpen Access

Analogical reasoning with large language models: a co-creative framework and benchmarking of LLMs in design ideation

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Observational analysis benchmarks creative performance of large language models in design ideation, suggesting improved co-creation methods.

Higher-rated ideas emerged when novice designers used the analogical reasoning framework.
The benchmarking revealed notable differences in analogical creative performance among various large language models.
Controlled ideation experiments involved 24 design students interacting with a generative AI-supported tool.
The study supports enhancing creativity in design through effective language model integration.

Kokate et al. (2026) studied this question.

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March 3, 2026Design ScienceOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Observational analysis benchmarks creative performance of large language models in design ideation, suggesting improved co-creation methods.

Higher-rated ideas emerged when novice designers used the analogical reasoning framework.
The benchmarking revealed notable differences in analogical creative performance among various large language models.
Controlled ideation experiments involved 24 design students interacting with a generative AI-supported tool.
The study supports enhancing creativity in design through effective language model integration.

Kokate et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark