Crowd Coach
Crowd Coach
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群众教练
DOI：
10.1145/3274306
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发表时间：
2018
影响因子：
--
通讯作者：
Saiph Savage
中科院分区：
文献类型：
--
作者：
Chun;Anna Kasunic;Saiph Savage
传统就业通常为工人提供提高技能以获得更好机会的机制。然而，像 Amazon Mechanical Turk (AMT) 这样的众包工作平台通常不支持技能发展（即在工作中变得更快更好）。虽然研究人员已经开始解决这个问题，但大多数解决方案都依赖于愿意提供帮助的专家或请求者。然而，请求者普遍缺乏必要的知识，专家稀缺且昂贵。为了进一步促进众包工作者的技能发展，我们推出了 Crowd Coach，这是一个使工作者能够在工作时接受同伴辅导的系统。我们进行了现场实验和现实世界部署，以在野外研究 Crowd Coach。数百名员工使用 Crowd Coach 执行各种任务，包括写作、进行调查和标记图像。我们发现 Crowd Coach 可以在不牺牲工作质量的情况下提高工作人员的速度，尤其是在音频转录任务中。我们认为，同伴辅导系统有潜力更好地支持众包工作者在工作中的技能发展。我们以研究中的设计含义作为结尾。
Traditional employment usually provides mechanisms for workers to improve their skills to access better opportunities. However, crowd work platforms like Amazon Mechanical Turk (AMT) generally do not support skill development (i.e., becoming faster and better at work). While researchers have started to tackle this problem, most solutions are dependent on experts or requesters willing to help. However, requesters generally lack the necessary knowledge, and experts are rare and expensive. To further facilitate crowd workers' skill growth, we present Crowd Coach, a system that enables workers to receive peer coaching while on the job. We conduct a field experiment and real world deployment to study Crowd Coach in the wild. Hundreds of workers used Crowd Coach in a variety of tasks, including writing, doing surveys, and labeling images. We find that Crowd Coach enhances workers' speed without sacrificing their work quality, especially in audio transcription tasks. We posit that peer coaching systems hold potential for better supporting crowd workers' skill development while on the job. We finish with design implications from our research.
Amazon Mechanical Turk 上工人收入的数据驱动分析
DOI：
10.48550/arxiv.1712.05796
发表时间：
2017
期刊：
arXiv e-prints
影响因子：
--
作者：
Hara Kotaro
通讯作者：
Hara Kotaro
社交媒体、公民参与和懒惰主义假说：从墨西哥“El Bronco”中挖掘数据教训
DOI：
--
发表时间：
2016
期刊：
Columbia journal of international affairs
影响因子：
--
作者：
Howard, Philip N;Savage, S;Flores-Saviaga, C;Toxtli, C;Monroy-Hernandez, A.
通讯作者：
Monroy-Hernandez, A.