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Reducing Objective Difficulty Without Influencing Subjective Difficulty in a Video Game

  • Shunta Sakaue
  • , Taiju Kimura
  • , Hiroki Nishino
  • Kochi University of Technology

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

4 引文 斯高帕斯(Scopus)

摘要

While dynamic difficulty adjustment techniques can enhance the player engagement, overly apparent difficulty adjustments may have a detrimental effect on the overall gaming experience. Hence, it is desirable to implement game difficulty controls as unnoticeable as possible. We interpret this issue as a research question: Is it possible to reduce the objective difficulty of a game without influencing the subjective difficulty that players perceive?, and propose two techniques for dynamically adjusting game difficulty that is imperceptible to players: Collision Detection Area Adjustment and Time Elapse Manipulation. We integrated these two techniques into a simple shoot’em up game and evaluated their effectiveness through a user study. The results support the claim that these difficulty adjustment techniques can reduce the objective difficulty of a game without influencing the subjective difficulty that players perceive. This study could be beneficial, not just as a rare example in the research in difficulty adjustment that distinguishes objective difficulty and subjective difficulty, but also as a practical technique for difficulty adjustment that can avoid the negative impact on the gaming experience.

原文英語
主出版物標題Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023
發行者Association for Computing Machinery, Inc
ISBN(電子)9798400702051
DOIs
出版狀態已出版 - 06 12 2023
對外發佈是
事件5th ACM International Conference on Multimedia in Asia, MMAsia 2023 - Hybrid, Tainan, 台灣
持續時間: 06 12 2023 → 08 12 2023

出版系列

名字Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023

Conference

Conference5th ACM International Conference on Multimedia in Asia, MMAsia 2023
國家/地區台灣
城市Hybrid, Tainan
期間06/12/23 → 08/12/23

文獻附註

Publisher Copyright:
© 2023 Copyright held by the owner/author(s).

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