Visualization System of the Degree of Activity of Characters for the League of Legends

Abstract

We propose a visualizing system for characters activity in League of Legends (LoL). LoL players review their matches in the games using a replay function on the game software, however it is difficult to know when and how their characters activity. We propose a system that calculates characters activity during any time period on the match based on three types of actions and enables players to analyze their actions during power spikes by activity graphs and action icons. We show the effectiveness of the proposed system through evaluation experiments.