论文标题
阈值设计师适应：共同创造系统中设计师的适应性改善
Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems
论文作者
论文摘要
为了最好地帮助人类设计师采用不同样式，机器学习（ML）系统需要能够适应它们。但是，关于如何以及何时将ML系统最佳地调整为共同设计者的工作相对较少。在本文中，我们介绍了阈值设计师改编：一种将创意ML模型改编为单个设计师的新方法。我们使用共同创造的节奏游戏设计工具通过人类主题研究评估我们的方法。我们发现设计师更喜欢我们提出的方法，并与现有基线相比产生更高质量的内容。
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 that designers prefer our proposed method and produce higher quality content in comparison to an existing baseline.
