Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems. (arXiv:2205.09269v1 [cs.LG])

To best assist human designers with different styles, Machine Learning (ML)
systems need to be able to adapt to them. However, there has been relatively
little prior work on how and when to best adapt an ML system to a co-designer.
In this paper we present threshold designer adaptation: a novel method for
adapting a creative ML model to an individual designer. We evaluate our
approach with a human subject study using a co-creative rhythm game design
tool. We find …

arxiv designers systems threshold