This project aims to study the creative and gameplay-driven design choices behind Mario Kart Wii track layouts. By analyzing community-created tracks and how players actually drive them, we aim to extract design-relevant signals like enjoyment, challenge, creativity, and balance — in a way that can both help human designers reason about a layout and eventually support controlled generation of new tracks that target specific gameplay qualities.
This repository contain the code for:
- Kartographer: a generative world model for Mario Kart Wii tracks. Please see our approach for a better understanding of the project. (in progress)
- MKW Telemetry Visualizer to visualize the data extracted by our MKW Logger. Please see MKW Telemetry Visualizer explained.
- Data processing tools
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📝 The Methodology Understand our approach and why we made specific design decisions. |
🛢️ The Data Read about dataset availability and learn about the dataset. |
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🖥️ Visualizer Learn how to visualize MKW telemetry data using our visualizer tool. |
📖 Research Purpose Read about the context of this project. |