mlsanityData to 7 Oct 2026

Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers

arXiv 2411.02714 ↗First posted 5 Nov 2024cs.CL cs.AI cs.HCcited by 4

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Abstract (arXiv)

We introduce GamePlot, an LLM-powered assistant that supports game designers in crafting immersive narratives for turn-based games, and allows them to test these games through a collaborative game play and refine the plot throughout the process. Our user study with 14 game designers shows high levels of both satisfaction with the generated game plots and sense of ownership over the narratives, but also reconfirms that LLM are limited in their ability to generate complex and truly innovative content. We also show that diverse user populations have different expectations from AI assistants, and encourage researchers to study how tailoring assistants to diverse user groups could potentially lead to increased job satisfaction and greater creativity and innovation over time.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 8 of its 30 references that are in the map. First posted on arXiv 5 Nov 2024.

Builds on

8 of 30 references.

References · 8

  1. 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
  2. 2019Interactive Fiction Games: A Colossal Adventurecited by 165
  3. 2022Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writerscited by 69
  4. 2024HelloBench: Evaluating Long Text Generation Capabilities of Large Language Modelscited by 42
  5. 2024Large Language Models and Video Games: A Preliminary Scoping Reviewcited by 23
  6. 2024Player-Driven Emergence in LLM-Driven Game Narrativecited by 16
  7. 2023GENEVA: GENErating and Visualizing branching narratives using LLMscited by 8
  8. 2024MCPDial: A Minecraft Persona-driven Dialogue Datasetcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.