posted on 2023-10-31, 10:46authored byChristopher Lee
<p>This thesis presents a more useful visualization and filtering system for the GameplayDesign Patterns Wiki, the most extensive and up to date collection of gameplaydesign patterns. The aim of this research is to understand if an improvement canbe made to the understanding of the wiki without changing the wiki’s content. Todo this a study is conducted, resulting in the discovery of common game designand analysis tasks which require external information and these form the basis forrequirements for the more useful visualization and filtering system.The system GDPVis is designed and implemented as an open-source in-browsersingle-page application which acts as a visualization and filtering system for information found in the Gameplay Design Patterns wiki. GDPVis incorporates node-linkdiagrams to display the relationships between patterns, and a node-based visual filtering system allowing for a fine level of control and granularity of the games orpatterns collection being displayed.GDPVis is evaluated against the original wiki in two studies, which result in thesystem showing promise for being more useful (more time efficient to use, easier touse, more engaging to use, and more satisfying to use) in many specific scenarios, aswell as generally for teaching students about gameplay design patterns.</p>