Analyzing repetitive action in game based on sequence pattern matching

Abstract

As games become more popular, procedures which can support the analysis and understanding of players' behaviors are necessary for success of commercial games. This paper presents a log-based usability evaluation system to analyze user behavior in a gaming environment. We explore the potential of input log data for automated usability evaluation and visualization of player behavior in a game. We traced the keyboard input value and mouse movement of users using a sequence data mining technique in a gaming environment. And we also constructed 3D body meshes for the behavior analysis using Kinect interface. We visualized the data obtained by tracing and automatically searched repetitive patterns in the game and analyzed them. The result obtained from the analysis can be used for user interface optimization, fun evaluation, and the bot-detection field.