Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform
Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform
复制标题
公民数据分析设计：多领域公民科学平台的横截面案例研究
DOI：
10.1145/2702123.2702420
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
N. Shadbolt
中科院分区：
文献类型：
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作者：
Ramine Tinati;M. V. Kleek;E. Simperl;Markus Luczak;R. J. Simpson;N. Shadbolt
设计一个有效和可持续的公民科学（CS）项目需要考虑大量的因素。这使得整个过程不可预测，即使是一个健全的，以用户为中心的设计方法是由经验丰富的UX设计师团队遵循。此外，当部署这样的系统时，所产生的相互作用的复杂性挑战了任何从回顾性分析中概括的尝试。在本文中，我们提出了一个案例研究的最大的单一平台的公民驱动的数据分析项目的日期，Zooniverse。通过结构化反思，其设计团队的核心成员的经验，我们的接地分析产生了四套主题，重点是任务特异性，社区发展，任务设计和公共关系和参与，由两到四个具体的设计主张支持。对于每一个，我们提出了一套设计索赔（DC），绘制比较众包和在线社区的文献，我们的研究结果的背景。
Designing an effective and sustainable citizen science (CS)project requires consideration of a great number of factors. This makes the overall process unpredictable, even when a sound, user-centred design approach is followed by an experienced team of UX designers. Moreover, when such systems are deployed, the complexity of the resulting interactions challenges any attempt to generalisation from retrospective analysis. In this paper, we present a case study of the largest single platform of citizen driven data analysis projects to date, the Zooniverse. By eliciting, through structured reflection, experiences of core members of its design team, our grounded analysis yielded four sets of themes, focusing on Task Specificity, Community Development, Task Design and Public Relations and Engagement, supported by two-to-four specific design claims each. For each, we propose a set of design claims (DCs), drawing comparisons to the literature on crowdsourcing and online communities to contextualise our findings.