Evaluating Quality of Gaming Narratives Co-created with AI

--This paper proposes a structured methodology to evaluate AI-generated game narratives, leveraging the Delphi study structure with a panel of narrative design experts. Our approach synthesizes story quality dimensions from literature and expert insights, mapping them into the Kano model framework to understand their impact on player satisfaction. The results can inform game developers on prioritizing quality aspects when co-creating game narratives with generative AI. While generative AI has surged into public and research consciousness following the release of systems like ChatGPT, video games have a longer tradition of using AI techniques to generate content that would otherwise be authored by human designers. This tradition is well established in the field of Procedural Content Generation, which encompasses a range of methods for algorithmically creating game elements such as levels, characters, quests, and storylines [1].