AtDELFI

Abstract

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.

Learning to play: understanding in-game tutorials with a pilot study on implicit tutorials

“…In addition, four published papers in the field of AI were found discussing the automation of game tutorial design ( Aytemiz et al., 2018 ; Benotti and Bertoa, 2011 ; Branavan et al., 2009 ; Green et al., 2018 ). Two reviewed articles from HCI-related publications also explored new forms of external guidance for video games ( Payne et al., 2017 ; Wehbe et al., 2013 ).…”

Learning state-action features for general game playing

“…In this regard, the focus in this thesis is on distilling trained policies into various forms of decision trees, such that they can identify small sets of key features and be used as explanations of relevant tactics to human players. This could, for example, produce useful explanations or visualisations for automaticallygenerated tutorials or instruction manuals for arbitrary games (Green et al, 2018;Stephenson et al, 2022). Another type of insight that is briefly considered is an analysis of a game's tactical or strategic depth (Lantz et al, 2017), which can be a useful indicator of a game's quality (Browne, 2009(Browne, , 2012Apeldoorn and Volz, 2017).…”