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Title: | 在多人線上遊戲中建立玩家模擬模型——討論接觸網絡對疫苗決策的影響 Building Player-Based Model in Multiplayer Online Games––the Impact of Exposure Networks on Vaccine Decisions |
Authors: | 李蕙均 Hui-Chun Lee |
Advisor: | 溫在弘 Tzai-Hung Wen |
Keyword: | 玩家模擬模型,社交網絡,疫苗行為,暴露風險,代理人模擬模型, Player-Based Model,Social Network,Vaccination Behavior,Exposure Risk,Agent-Based Model, |
Publication Year : | 2024 |
Degree: | 碩士 |
Abstract: | 疫苗在減緩疫情傳播方面起著至關重要的作用,但疫苗固有的風險和成本常使得提高疫苗覆蓋率變得具有挑戰性。社交網絡作為影響個人疫苗行為很重要的因素,因其與個人接觸和傳播風險以及疫苗資訊認知密切相關。接觸對象的免疫狀況也影響個人接種疫苗的動機,這可能促成了所謂的「搭便車效應」。本研究旨在使用《Minecraft》創建一個虛擬社會環境,以模擬這個虛擬社會中的疫情傳播。研究將蒐集玩家的真實遊戲數據,以捕捉疫情期間的人類行為。研究還將使用迴歸分析來檢驗現實生活行為與遊戲內行為之間的關聯性,以及疫苗報酬、社交網絡和個人疫苗行為之間的關係。 Vaccines serve as a crucial tool in mitigating the spread of epidemics, but the inherent risks and costs associated with vaccines often make it challenging to increase vaccine coverage. Social networks play a significant role in influencing individual vaccine behavior, as they are closely linked to personal contact and transmission risk, as well as vaccine information awareness. The immunity status of contacts also affects the individual''s motivation to get vaccinated, potentially contributing to the phenomenon known as the “free rider effect.” This study aims to create a virtual social environment using Minecraft to simulate the spread of an epidemic within this virtual society. It will collect real gameplay data from players to capture human behavior during an epidemic. The study will also employ regression analysis to examine the relationship between real-life behaviors and in-game behaviors, as well as the relationship between vaccination payoff, social networks, and individual vaccination behavior. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/92819 |
DOI: | 10.6342/NTU202401310 |
Fulltext Rights: | 同意授權(全球公開) |
Appears in Collections: | 地理環境資源學系 |
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File | Size | Format | |
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ntu-112-2.pdf | 2.31 MB | Adobe PDF | View/Open |
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