Kenny Raharjo and Ramon Lawrence
Using MultiArm Bandits to Optimize Game Play Metrics and Effective Game Design
1758 - 1761
2016
10
10
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10005492
https://publications.waset.org/vol/118
World Academy of Science, Engineering and Technology
Game designers have the challenging task of building games that engage players to spend their time and money on the game. There are an infinite number of game variations and design choices, and it is hard to systematically determine game design choices that will have positive experiences for players. In this work, we demonstrate how multiarm bandits can be used to automatically explore game design variations to achieve improved player metrics. The advantage of multiarm bandits is that they allow for continuous experimentation and variation, intrinsically converge to the best solution, and require no special infrastructure to use beyond allowing minor game variations to be deployed to users for evaluation. A user study confirms that applying multiarm bandits was successful in determining the preferred game variation with highest play time metrics and can be a useful technique in a game designer&39;s toolkit.
Open Science Index 118, 2016