Automated commentary generation based on fps gameplay analysis

Abstract

Video games evolved into competitive sports within a short span of time. Commentary plays a key role in any sport. Commentary is useful to understand the game as well as to capture key moments of the game. The balance between play-to-play commentary and color commentary creates the whole value of commentary. Additionally, it has been proven that contribution factors play a major role in the meaning of an automated commentary as well. The proposed commentary generator takes all three factors into account to generate a commentary track for the first-person shooter game Valorant. Human evaluation along with numerical figures are taken to evaluate the quality of the generated commentary. The evaluation results suggest that the proposed model performs on par with the human commentary.