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much more complex than those "clear the stage with enough scores." Therefore, the upper four in the Table 3
would attract more skillful players but might lose their popularity among regular players.
Also, the target rhythm games have a lower value to meet the GR perfect zone. The reason is that rhythm
game generally has a long game length, making the game much more challenging than most sophisticated game
design (Iida, 2020). This condition could hint to this genre that reducing the game length would create a more
pleasing experience for most players, improving these games' popularity. The fact is the latest rhythm games
released, like Just Dance 2021, have shown the tendency to be much shorter. Future research should focus on
the evolution of the length change in rhythm to further verify this finding.
Furthermore, possible combinations of the button number and button reactions also play a role in making the
rhythm game engaging. Further study should also pay attention to a proper combination to make the game more
sophisticated.
4. Conclusion
In this study, we overview the model of game refinement theory. It introduces a reliable model for evaluating
the attractiveness of games and their sophistication. This study creatively applies the game refinement theory
for modeling to determine the balance of attractiveness and excitement of the rhythm game. It found that
conditions set for winning affect the expected experience of the player. In addition, life bar setting in the rhythm
game would be too challenging for regular players.
Moreover, a shorter game length might be better to balance the game setting and attracts more players. Lastly,
combinations of button numbers and button reactions should also reach a proper value to add more uncertainty
and interest to the game. Adjusting the game parameters to reach the GR perfect range, as a reference for the
design work, would considerably shorten and facilitate game numerical system design and game optimization.
Later work should collect more data to make the study much more convincing.
References
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E- Proceedings of The 5th International Multi-Conference on Artificial Intelligence Technology (MCAIT 2021) [221]
Artificial Intelligence in the 4th Industrial Revolution