Large-Scale Analysis of Visualization Options in a Citizen Science Game.
Large-Scale Analysis of Visualization Options in a Citizen Science Game.
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DOI：
10.1145/3341215.3356274
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
El-Nasr MS
中科院分区：
文献类型：
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作者：
Miller JA;Lee V;Cooper S;El-Nasr MS
可视化是解决问题的一个有价值的工具，特别是对于公民科学游戏。在这项研究中，我们分析了公民科学游戏Foldit的36，351名独特玩家在5年内的数据，以了解他们对可视化选项的选择如何受到专业知识和问题类型的影响。我们确定了可视化选项的集群，并发现专家和新手如何看待谜题的差异，以及专家根据谜题类型不同地改变他们的观点。这些结果可以为新的设计方法提供信息，以帮助新手和专家玩家可视化新问题，发展专业知识和解决问题。
Visualization is a valuable tool in problem solving, especially for citizen science games. In this study, we analyze data from 36,351 unique players of the citizen science game Foldit over a period of 5 years to understand how their choice of visualization options are affected by expertise and problem type. We identified clusters of visualization options, and found differences in how experts and novices view puzzles and that experts differentially change their views based on puzzle type. These results can inform new design approaches to help both novice and expert players visualize novel problems, develop expertise, and problem solve.