Miller Josh Aaron, Lee Vivian, Cooper Seth, El-Nasr Magy Seif
Northeastern University Boston, MA, USA.
Proc Annu Symp Comput Hum Interact Play. 2019 Oct;2019:535-542. doi: 10.1145/3341215.3356274.
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.
可视化是解决问题的一项重要工具，尤其在公民科学游戏中。在本研究中，我们分析了公民科学游戏Foldit在5年时间里36351名独特玩家的数据，以了解他们对可视化选项的选择是如何受到专业知识和问题类型影响的。我们识别出了可视化选项的类别，发现专家和新手看待谜题的方式存在差异，且专家会根据谜题类型不同地改变他们的观点。这些结果可为新的设计方法提供参考，以帮助新手和专家玩家将新问题可视化、培养专业技能并解决问题。
