A new research paper explores how human-AI interaction can enhance creativity in structural design and architecture. The authors argue that current generative AI, focused on removing friction, often fails to meet the needs of creative fields that benefit from iterative exploration and refinement. They propose design dimensions for co-creative systems that use vision-language models to make structural exploration conversational and responsive to user intent, preserving beneficial design friction. AI
IMPACT Suggests new directions for AI development in creative fields by emphasizing beneficial friction over complete automation.
RANK_REASON The cluster contains a research paper published on arXiv discussing human-AI interaction for design.
- architecture
- arXiv
- human-AI interaction
- Ricardo Maia Avelino
- structural engineering
- vision-language model
- alphaXiv
- CatalyzeX
- DagsHub
- generative artificial intelligence
- Gotit.pub
- Hugging Face
- ScienceCast
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