SUPR
Machine Learning for Game Design Pattern
Dnr:

NAISS 2025/22-379

Type:

NAISS Small Compute

Principal Investigator:

Xuechen Liu

Affiliation:

Chalmers tekniska högskola

Start Date:

2025-03-10

End Date:

2026-04-01

Primary Classification:

10204: Human Computer Interaction (Social aspects at 50804)

Allocation

Abstract

This projects aims to explore the potential of machine learning to make game design more accessible and systematic. Specifically, it utilizes the design pattern approach in game design - game design pattern. This project will build graph database of game design pattern, use topic modeling algorithms for literature data analysis and build basic ML systems based on those data.