(公民)科学的游戏:通过社会计算系统的设计和评估,探索众包科学背景下的动机和数据质量

Nathan R. Prestopnik, Kevin Crowston
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引用次数: 64

摘要

公民分类,目前正在开发中,是一个基于网络的社会计算系统,旨在支持公民科学任务,各种昆虫,动物和植物物种的分类。除了支持这一自然科学目标外,公民排序平台还将支持信息科学研究目标,即参与社会计算和公民科学的动机。特别地,本研究计划探讨了使用游戏来激励参与社会计算公民科学,并探讨了系统设计对动机和数据质量的影响。描述了一种设计科学方法,其中开发IT工件来解决问题并回答研究问题。讨论了研究问题、公民分类计划和实施的进展以及主要挑战。
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Gaming for (Citizen) Science: Exploring Motivation and Data Quality in the Context of Crowdsourced Science through the Design and Evaluation of a Social-Computational System
Citizen Sort, currently under development, is a web-based social-computational system designed to support a citizen science task, the taxonomic classification of various insect, animal, and plant species. In addition to supporting this natural science objective, the Citizen Sort platform will also support information science research goals on motivation for participation in social-computation and citizen science. In particular, this research program addresses the use of games to motivate participation in social-computational citizen science, and explores the effects of system design on motivation and data quality. A design science approach, where IT artifacts are developed to solve problems and answer research questions is described. Research questions, progress on Citizen Sort planning and implementation, and key challenges are discussed.
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