Evaluating Quality of Gaming Narratives Co-created with AI
This addresses the challenge for game developers in assessing and improving narratives co-created with AI, though it is incremental as it builds on existing evaluation frameworks.
The paper tackles the problem of evaluating AI-generated game narratives by developing a structured methodology that combines expert insights with the Kano model framework, resulting in a tool to help game developers prioritize quality aspects for player satisfaction.
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.