A Tutor Agent for MOBA Games
This addresses the challenge for novice players in MOBA games, but it is incremental as it applies existing AI methods to a specific gaming context.
The paper tackles the problem of novice players struggling with the steep learning curve and unfriendly communities in MOBA games by developing an AI tutor agent that analyzes player performance and provides tips, with experiments in League of Legends showing its potential.
Digital games have become a key player in the entertainment industry, attracting millions of new players each year. In spite of that, novice players may have a hard time when playing certain types of games, such as MOBAs and MMORPGs, due to their steep learning curves and not so friendly online communities. In this paper, we present an approach to help novice players in MOBA games overcome these problems. An artificial intelligence agent plays alongside the player analyzing his/her performance and giving tips about the game. Experiments performed with the game {\em League of Legends} show the potential of this approach.