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In recent years, there has been a growing application of mixed-initiativeco-creative approaches in the creation of video games. The rapid advances inthe capabilities of artificial intelligence (AI) systems further propelcreative collaboration between humans and computational agents. In thistutorial, we present guidelines for researchers and practitioners to developgame design tools with a high degree of mixed-initiative co-creativity(MI-CCy). We begin by reviewing a selection of current works that will serve ascase studies and categorize them by the type of game content they address. Weintroduce the MI-CCy Quantifier, a framework that can be used by researchersand developers to assess co-creative tools on their level of MI-CCy through avisual scheme of quantifiable criteria scales. We demonstrate the usage of theMI-CCy Quantifier by applying it to the selected works. This analysis enabledus to discern prevalent patterns within these tools, as well as features thatcontribute to a higher level of MI-CCy. We highlight current gaps in MI-CCyapproaches within game design, which we propose as pivotal aspects to tackle inthe development of forthcoming approaches.

Boosting Mixed-Initiative Co-Creativity in Game Design: A Tutorial