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Computer Science > Computer Science and Game Theory

arXiv:2405.19843 (cs)
[Submitted on 30 May 2024]

Title:How Gold to Make the Golden Snitch: Designing the "Game Changer" in Esports

Authors:Zhihuan Huang, Yuxuan Lu, Yongkang Guo, Yuqing Kong
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Abstract:Many battling games utilize a special item (e.g. Roshan in Defense of the Ancients 2 (DOTA 2), Baron Nashor in League of Legends (LOL), Golden Snitch in Quidditch) as a potential ``Game Changer''. The reward of this item can enable the underdog to make a comeback. However, if the reward is excessively high, the whole game may devolve into a chase for the ``Game Changer''. Our research initiates with a Quidditch case study, a fictional sport in Harry Potter series, wherein we architect the Golden Snitch's reward to maximize the audience's surprise. Surprisingly, we discover that for equally competent teams, the optimal Snitch reward is zero. Moreover, we establish that under most circumstances the optimal score aligns with the game's expected duration multiplied by the teams' strength difference. Finally, we explore the correlation between the ``Game Changer's'' reward and audience surprise in Multiplayer Online Battle Arena (MOBA) games including DOTA 2 and LOL, finding that the optimal reward escalates with increasing team strength inequality.
Subjects: Computer Science and Game Theory (cs.GT)
Cite as: arXiv:2405.19843 [cs.GT]
  (or arXiv:2405.19843v1 [cs.GT] for this version)
  https://doi.org/10.48550/arXiv.2405.19843

Submission history

From: Zhihuan Huang [view email]
[v1] Thu, 30 May 2024 08:50:37 UTC (12,158 KB)
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