ERC Starting Grant · 2025
Scalable AI-driven Framework for Comprehensive Gameplay Characterization
GAMECHAR addresses a critical gap in gameplay characterization of video games by developing scalable, data-driven methods that link gameplay mechanics to player experiences. Current methodologies face limitations due to fragmented approaches, small datasets, and challenges in comparing human-generated and AI-generated gameplay data. Existing tools struggle to standardize the characterization of gameplay, making it difficult to extract meaningful insights from diverse games. Additionally, the emergent and interactive nature of gameplay requires systematic, scalable solutions for comprehensive analysis. To overcome these challenges, GAMECHAR will develop innovative methodologies to…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.