Expertise and Engagement: Re-Designing Citizen Science Games With Players' Minds in Mind.
Expertise and Engagement: Re-Designing Citizen Science Games With Players' Minds in Mind.
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专业知识和参与度：重新设计公民科学游戏，牢记玩家的想法。
DOI：
10.1145/3337722.3337735
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
El-Nasr,MagySeif
中科院分区：
文献类型：
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作者：
Miller,JoshAaron;Narayan,Uttkarsh;Hantsbarger,Matthew;Cooper,Seth;El-Nasr,MagySeif
许多研究已经表明，游戏可以成为一种有用的工具，使无聊或困难的任务更具吸引力。然而，严肃的游戏设计是一个相对新兴的领域，这样的经验仍然很难学习，也不是很有动力。在本文中，我们探讨了使用学习和激励框架，以提高玩家的经验，在著名的公民科学游戏Foldit。使用认知负荷理论（CLT）和自我决定理论（SDT），我们开发了六个界面和机械变化，以提高参与度和保留度。我们用Foldit的新玩家测试了这些功能，并收集了行为数据（使用游戏指标）和先前的经验数据（使用自我报告措施）。这项研究提供了三个主要贡献：（1）我们记录了CLT和SDT作为新游戏功能的操作过程，这是一种以前在游戏设计中没有使用过的独特方法;（2）用户界面，特别是关卡选择屏幕，显著影响玩家在游戏中的进展;（3）玩家的专业知识，无论是先前的领域知识还是先前的游戏经验，都可以增加他们的参与度。我们讨论了这些发现的影响，以及这些实现可以推广到其他设计。
Many studies have already shown that games can be a useful tool to make boring or difficult tasks more engaging. However, with serious game design being a relatively nascent field, such experiences can still be hard to learn and not very motivating. In this paper, we explore the use of learning and motivation frameworks to improve player experience in the well-known citizen science game Foldit. Using Cognitive Load Theory (CLT) and Self Determination Theory (SDT), we developed six interface and mechanical changes to the tutorial levels in Foldit designed to increase engagement and retention. We tested these features with new players of Foldit and collected both behavioral data, using game metrics, and prior experience data, using self-report measures. This study offers three major contributions: (1) we document the process of operationalizing CLT and SDT as new game features, a unique methodology not used in game design previously; (2) the user interface, specifically the level selection screen, significantly impacts how players progress through the game; and (3) a player's expertise, whether from prior domain knowledge or prior gaming experience, increases their engagement. We discuss both implications of these findings as well as how these implementations can generalize to other designs.