论文标题

在从物质使用障碍中恢复的背景下,比较通用和社区主机的众包以进行数据验证

Comparing Generic and Community-Situated Crowdsourcing for Data Validation in the Context of Recovery from Substance Use Disorders

论文作者

Rubya, Sabirat, Numainville, Joseph, Yarosh, Svetlana

论文摘要

针对合适的工人组以众包的方式通常可以取得更好的质量效果。有针对性众包的一个独特例子是寻求社区定位的工人,他们对特定群体的背景和规范的熟悉可以帮助产生更好的结果或准确性。这些社区主持的人群可以从通用在线众包平台或在线恢复社区中以不同的方式招募。我们评估了三种不同的方法,可以从时间和招聘成本以及任务完成的准确性方面招募通用和社区主持的人群。我们考虑戒酒匿名(AA)的背景,是恢复酗酒者的最大同伴支持小组,以及识别和验证AA会议信息的任务。我们讨论了招聘付费与无薪社区定位的工人的好处和权衡,并在HCI的恢复环境和相关领域以及众包ICT系统的设计中为未来的研究带来了影响。

Targeting the right group of workers for crowdsourcing often achieves better quality results. One unique example of targeted crowdsourcing is seeking community-situated workers whose familiarity with the background and the norms of a particular group can help produce better outcome or accuracy. These community-situated crowd workers can be recruited in different ways from generic online crowdsourcing platforms or from online recovery communities. We evaluate three different approaches to recruit generic and community-situated crowd in terms of the time and the cost of recruitment, and the accuracy of task completion. We consider the context of Alcoholics Anonymous (AA), the largest peer support group for recovering alcoholics, and the task of identifying and validating AA meeting information. We discuss the benefits and trade-offs of recruiting paid vs. unpaid community-situated workers and provide implications for future research in the recovery context and relevant domains of HCI, and for design of crowdsourcing ICT systems.

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