Although explainable computational creativity seeks to create and sustain computational models of creativity that foster a collaboratively creative process through explainability, there remains little to no work in supporting designers when exploring the explanation medium. While explainable artificial intelligence methods tend to support textual, visual, and numerical explanations, within the arts, interaction mediums such as auditorial, tactile, and olfactoral may offer more salient communication within the creative process itself. Through this research, I propose a framework to assist designers of explainable user interfaces in modeling the type of interaction they wish to create using explanations.

翻译：尽管可解释的计算创造力旨在通过可解释性来创建和维持促进协作创造过程的计算创造力模型，但在帮助设计者探索解释媒介方面的研究仍然极少。虽然可解释人工智能方法倾向于支持文本、视觉和数值解释，但在艺术领域中，听觉、触觉和嗅觉等交互媒介可能在创造性过程中提供更显著的沟通效能。通过本研究，我提出一个框架，旨在协助可解释用户界面的设计者建模其希望借助解释所创建的交互类型。