AtDelfi: Automatically Designing Legible, Full Instructions For Games
This addresses the challenge of creating tutorials for video games, potentially reducing manual effort, but it is incremental as it shows limitations for more complex games.
The paper tackled the problem of automatically generating video game tutorials by introducing the AtDELFI system, which uses a graph representation of game rules and mechanics to produce instructions, and demonstrated its effectiveness on simple arcade games like Space Invaders and Pacman within the GVG-AI framework.
This paper introduces a fully automatic method for generating video game tutorials. The AtDELFI system (AuTomatically DEsigning Legible, Full Instructions for games) was created to investigate procedural generation of instructions that teach players how to play video games. We present a representation of game rules and mechanics using a graph system as well as a tutorial generation method that uses said graph representation. We demonstrate the concept by testing it on games within the General Video Game Artificial Intelligence (GVG-AI) framework; the paper discusses tutorials generated for eight different games. Our findings suggest that a graph representation scheme works well for simple arcade style games such as Space Invaders and Pacman, but it appears that tutorials for more complex games might require higher-level understanding of the game than just single mechanics.