Evaluating Quality of Gaming Narratives Co-created with AI
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 22 references that are in the map. First posted on arXiv 4 Sep 2025.
Builds on
4 of 22 references.
References · 4
- 2024A Survey on LLM-as-a-Judgecited by 1,384
- 2023Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights using Generative AIcited by 21
- 2024What Makes a Good Story and How Can We Measure It? A Comprehensive Survey of Story Evaluationcited by 17
- 2023Fictional Worlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMscited by 2
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Citing papers per year: 2026: 1.
1 paper.