mlsanityData to 7 Oct 2026

The Ink Splotch Effect: A Case Study on ChatGPT as a Co-Creative Game Designer

arXiv 2403.02454 ↗First posted 4 Mar 2024cs.AIcited by 12

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Abstract (arXiv)

This paper studies how large language models (LLMs) can act as effective, high-level creative collaborators and ``muses'' for game design. We model the design of this study after the exercises artists use by looking at amorphous ink splotches for creative inspiration. Our goal is to determine whether AI-assistance can improve, hinder, or provide an alternative quality to games when compared to the creative intents implemented by human designers. The capabilities of LLMs as game designers are stress tested by placing it at the forefront of the decision making process. Three prototype games are designed across 3 different genres: (1) a minimalist base game, (2) a game with features and game feel elements added by a human game designer, and (3) a game with features and feel elements directly implemented from prompted outputs of the LLM, ChatGPT. A user study was conducted and participants were asked to blindly evaluate the quality and their preference of these games. We discuss both the development process of communicating creative intent to an AI chatbot and the synthesized open feedback of the participants. We use this data to determine both the benefits and shortcomings of AI in a more design-centric role.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 9 of its 24 references that are in the map. First posted on arXiv 4 Mar 2024.

Builds on

9 of 24 references.

References · 9

  1. 2023Level Generation Through Large Language Modelscited by 68
  2. 2019Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creatorscited by 31
  3. 2023Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights using Generative AIcited by 21
  4. 2023The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddingscited by 14
  5. 2023"An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionalscited by 11
  6. 2023Lode Encoder: AI-constrained co-creativitycited by 6
  7. 2023A Preliminary Study on a Conceptual Game Feature Generation and Recommendation Systemcited by 6
  8. 2021Design-Driven Requirements for Computationally Co-Creative Game AI Design Toolscited by 3
  9. 2020Designing Game Feel. A Surveycited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 8; 2025: 3; 2026: 1.

12 papers.