Summary of The Ink Splotch Effect: a Case Study on Chatgpt As a Co-creative Game Designer, by Asad Anjum et al.
The Ink Splotch Effect: A Case Study on ChatGPT as a Co-Creative Game Designer
by Asad Anjum, Yuting Li, Noelle Law, M Charity, Julian Togelius
First submitted to arxiv on: 4 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study investigates whether large language models (LLMs) can serve as effective, high-level creative collaborators and “muses” for game design. The goal is to determine if AI-assistance improves, hinders, or provides an alternative quality to games compared to human designers’ intentions. LLMs are placed at the forefront of the decision-making process to test their capabilities. Three prototype games are designed across 3 genres: a minimalist base game, a game with human-added features and feel elements, and one with directly implemented features from ChatGPT outputs. A user study evaluates the quality and preference of these games, discussing the development process of communicating creative intent to AI and participant feedback. The findings highlight both benefits and shortcomings of AI in a design-centric role. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how big computer models can help with game design. It’s like asking an artist for inspiration from random ink splatters! They want to see if these AI helpers can make games better, worse, or something new compared to what human designers do. The computer model is the main decision-maker, and three types of games are made: a simple one, one with human additions, and one with AI-generated ideas. People play and rate these games without knowing which was designed by humans or computers. The study talks about how they got the AI to understand what they wanted and what people thought of the games. It shows that AI can help and hurt in game design, just like it does in other areas. |
