Relationship Between Human-Computer Interaction Features and Players’ Decision-Making in Music Games

Music games provide a series of frequent, accurate, powerful, and rhythmic interactions for players via unique game mechanics and rule settings, guiding them to use auditory and visual cues in the scene. The development of entertainment industry promotes the research on Human-Computer interaction of music games. This paper will focus on the relationship between the Human-Computer interaction mechanism of music games and players’ game behavior decisions, and analyze the causes. Firstly, this paper reviews the theoretical and experimental researches on HCI in music games, references and analyzes the existing representative cases of music games, and constructs a relational model consisting of music game mechanics and players’ decision making. Then, we introduce the music game Don’t Be Popcorn designed by the authors. It describes the design and implementation of game mechanics and rules, interaction, and art effects. Finally, the experimental analysis is carried out to verify the relational model by inviting some participants to experience our game, analyzing the data of the test results. The results show that the behavioral decisions made by professional players are more radical than amateurs. Moreover, there is a Non-linear correlation between changes in the extent of player level performance and adjustments in behavioral decisions. Therefore, the proposed relational model can further provide references for game designers and researchers to analyze the interaction between players and music games.