自动补全界面使人群工作变慢,但它们的使用促进了响应的多样性

Xipei Liu, James P. Bagrow
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引用次数: 2

摘要

创意或问题提案等创造性任务是众包的强大应用,但可用于解决实际问题的工人数量往往不足。因此,为了实现可扩展的众包,需要从可用的工人那里获得所有可能的效率和信息。以文本为中心的任务的一个选项是允许辅助技术,例如自动完成用户界面(AUI),来帮助工作人员输入文本响应。但对aui有效性的支持褒贬不一。在这里,我们设计并进行了一个随机实验,要求员工对给定的问题提供简短的文本回答。我们的实验目标是确定AUI是否通过减少拼写错误和拼写错误来帮助工作人员更快地响应并提高一致性。令人惊讶的是,我们发现两者都没有发生:分配给AUI治疗的工人比分配给非AUI对照组的工人慢,他们的反应更多样化,而不是更少,比对照组的人。词汇和语义的多样性都更高,后者是用word2vec测量的。对工作人员速度感兴趣的众包商可能希望避免使用AUI,但是使用AUI来提高响应多样性对于希望从工作人员那里接收尽可能多的新信息的众包商来说可能是有价值的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autocompletion interfaces make crowd workers slower, but their use promotes response diversity
Creative tasks such as ideation or question proposal are powerful applications of crowdsourcing, yet the quantity of workers available for addressing practical problems is often insufficient. To enable scalable crowdsourcing thus requires gaining all possible efficiency and information from available workers. One option for text-focused tasks is to allow assistive technology, such as an autocompletion user interface (AUI), to help workers input text responses. But support for the efficacy of AUIs is mixed. Here we designed and conducted a randomized experiment where workers were asked to provide short text responses to given questions. Our experimental goal was to determine if an AUI helps workers respond more quickly and with improved consistency by mitigating typos and misspellings. Surprisingly, we found that neither occurred: workers assigned to the AUI treatment were slower than those assigned to the non-AUI control and their responses were more diverse, not less, than those of the control. Both the lexical and semantic diversities of responses were higher, with the latter measured using word2vec. A crowdsourcer interested in worker speed may want to avoid using an AUI, but using an AUI to boost response diversity may be valuable to crowdsourcers interested in receiving as much novel information from workers as possible.
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