Level Generation Using ChatGPT: A Case Study on the Science Bird Game
The increasing complexity of video games and development costs have necessitated innovative approaches to content creation. Procedural Content Generation (PCG) and AI tools like ChatGPT offer promising solutions. This paper explores the application of ChatGPT in Procedural Level Generation (PLG) for the game “Science Birds”. Through a combination of theoretical exploration and practical experiments, we demonstrate how ChatGPT can be leveraged to automate level design, enhancing both efficiency and creativity in game development.
Authors
- Doina Logofătu (ORCID: https://orcid.org/0000-0002-1678-3527)
- Julia Garbaruk (ORCID: https://orcid.org/0000-0002-7039-4901)
- Jiban Kumar Ray (ORCID: https://orcid.org/0009-0009-8582-4458)
Institutions
- Goethe University Frankfurt (DE)
- Frankfurt University of Applied Sciences (DE)
Publication Details
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1109/synasc65383.2024.00060
- Primary Topic
- Educational Games and Gamification
- Type
- article
- Field-Weighted Citation Impact
- 0.00