Science Gamers, Citizen Scientists, and Dabblers: Characterizing Player Engagement in Two Citizen Science Games

Science Gamers, Citizen Scientists, and Dabblers: Characterizing Player Engagement in Two Citizen Science Games
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科学游戏玩家、公民科学家和业余爱好者:描述玩家在两款公民科学游戏中的参与度

DOI:
10.1080/10447318.2022.2072453
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发表时间:
2023-05
期刊:
International Journal of Human–Computer Interaction
影响因子:
--
通讯作者:
Nathan R. Prestopnik
Nathan R. Prestopnik
中科院分区:
其他
文献类型:
--
作者:
Jian Tang;Nathan R. Prestopnik

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我们对志愿者参与公民科学游戏的理解是有限的,游戏性对志愿者参与的影响需要进一步调查。在本研究中,我们采用数据驱动的方法,探讨志愿者在两个公民科学游戏:遗忘岛和快乐比赛的心理和行为参与。我们根据志愿者提供的数据的数量和准确性进行了聚类分析,并对玩家对开放式调查问题的回答进行了定性内容分析。我们结合聚类分析和内容分析的结果,根据他们的参与模式识别和描述了三个玩家群体:“科学游戏玩家”、“公民科学家”和“涉猎者”。这三组类型的公民科学的球员的识别增强了我们的志愿者的贡献和参与模式的理解,我们提供的设计建议,可以帮助科学家和设计师完善自己的公民科学游戏的倡议。
Our understanding of volunteers’ engagement in citizen science games is limited, and the impact of gamefulness on volunteer engagement requires further investigation. In this study, we adopted a data-driven approach, exploring volunteers’ psychological and behavioral engagement in two citizen science games: Forgotten Island and Happy Match. We performed a cluster analysis based on the quantity and accuracy of volunteers’ contributed data and conducted a qualitative content analysis of player survey responses to open-ended survey questions. We combined the results of the clustering analysis and the content analysis to identify and characterize three player groups based on their engagement patterns: “science gamers,” “citizen scientists,” and “dabblers.” Our.identification of this three-group typology of citizen science players enhances our understanding of volunteers’ contribution and engagement patterns, and we provide design recommendations that may help scientists and designers to refine their own citizen science game initiatives.
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