Fighting Game Adaptive Background Music for Improved Gameplay
This addresses gameplay enhancement in a specific fighting game, but it is incremental as it builds on existing sound design and AI methods.
The paper tackled enhancing background music (BGM) in DareFightingICE by making it adaptive, with three instrument categories linked to game elements and volume changes. The result showed that a deep reinforcement learning AI agent using only audio input improved its performance with adaptive BGM compared to without it.
This paper presents our work to enhance the background music (BGM) in DareFightingICE by adding adaptive features. The adaptive BGM consists of three different categories of instruments playing the BGM of the winner sound design from the 2022 DareFightingICE Competition. The BGM adapts by changing the volume of each category of instruments. Each category is connected to a different element of the game. We then run experiments to evaluate the adaptive BGM by using a deep reinforcement learning AI agent that only uses audio as input (Blind DL AI). The results show that the performance of the Blind DL AI improves while playing with the adaptive BGM as compared to playing without the adaptive BGM.