(2025) Machado, Luca Cazzolato; Almeida, Pedro Luiz Fracassi de; Colpas, Pedro Henrique Rizo
This project addresses the challenge of content repetition in Arena of Dreams, a partyroyale
mobile game developed by Fanatee, where excessive repetition of minigames can
undermine player engagement and retention. The project aimed to replace the game’s
purely random minigame selection system with an intelligent algorithm that reduces
the player’s perception of repetitiveness by spacing out similar experiences. Through
a methodology involving online and in-person user surveys, computer vision and data
analysis, the team quantified how players perceive similarity between minigames. Multiple
distance matrices were generated from different perspectives (user perception, visual
features, semantic descriptions) and combined using Multi-View Multidimensional Scaling
(MVMDS) to create n-dimensional embeddings representing each minigame. The
selection algorithm then uses these embeddings to calculate the optimal minigame choice
based on players’ recent match history, selecting minigames that are furthest from what
players have recently experienced. Validation results demonstrate that this approach successfully
reduces the perception of repetition by understanding and quantifying similarity,
ultimately creating a more enjoyable and engaging gaming experience for players.
