论文标题
可解释的计算创造力
Explainable Computational Creativity
论文作者
论文摘要
人类与计算创造力（CC）领域中系统的合作通常仅限于浅层相互作用，在这种情况下，系统和人类的创作过程是孤立进行的，没有用户的任何（或很少）干预，并且没有任何关于如何进行发展决策的讨论。富有成果的共同创造需要持续的持续互动，其中可能包括讨论思想的讨论，与以前/其他作品的比较，增量改进和修订等。对于这些相互作用，交流是一个内在因素。这意味着向CC系统发表声音，并在他们和用户之间启用双向沟通渠道，以便他们可以：解释他们的过程和决策，支持他们的想法，以便他们的创造性合作者认真考虑这些问题，并从这些讨论中学习以进一步改善他们的创造过程。为此，我们为CC系统提出了一套设计原则，旨在支持与人类合作者的更大共同创造和合作。
Human collaboration with systems within the Computational Creativity (CC) field is often restricted to shallow interactions, where the creative processes, of systems and humans alike, are carried out in isolation, without any (or little) intervention from the user, and without any discussion about how the unfolding decisions are taking place. Fruitful co-creation requires a sustained ongoing interaction that can include discussions of ideas, comparisons to previous/other works, incremental improvements and revisions, etc. For these interactions, communication is an intrinsic factor. This means giving a voice to CC systems and enabling two-way communication channels between them and their users so that they can: explain their processes and decisions, support their ideas so that these are given serious consideration by their creative collaborators, and learn from these discussions to further improve their creative processes. For this, we propose a set of design principles for CC systems that aim at supporting greater co-creation and collaboration with their human collaborators.
