How WEIRD is CHI?
How WEIRD is CHI?
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CHI有多奇怪？
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Katharina Reinecke
中科院分区：
文献类型：
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作者：
Sebastian Linxen;C. Sturm;Florian Brühlmann;Vincent Cassau;K. Opwis;Katharina Reinecke
计算机技术通常是在西方国家的技术中心设计的，这总是使其变得“怪异”，因为它是基于西方、受过教育、工业化、富有和民主的人们的直觉、知识和价值观。开发普遍有用且有吸引力的技术需要了解 WEIRD 和非 WEIRD 社会成员的知识。换句话说，它要求我们 CHI 社区通过研究代表性参与者样本来生成这些知识。为了了解 CHI 参与者样本在多大程度上来自西方社会，我们分析了 2016 年至 2020 年 CHI 会议论文集上发表的论文。我们的研究结果表明，73% 的 CHI 研究结果是基于西方参与者样本，而西方参与者样本占世界人口的不到 12%。此外，我们表明，CHI 的大多数参与者样本往往来自工业化、富裕和民主国家，人口普遍受过高等教育。令人鼓舞的是，近年来非西方样本和包括多个国家的样本略有增加。我们讨论了进一步扩大 CHI 参与者样本的国际代表性的建议。
Computer technology is often designed in technology hubs in Western countries, invariably making it “WEIRD”, because it is based on the intuition, knowledge, and values of people who are Western, Educated, Industrialized, Rich, and Democratic. Developing technology that is universally useful and engaging requires knowledge about members of WEIRD and non-WEIRD societies alike. In other words, it requires us, the CHI community, to generate this knowledge by studying representative participant samples. To find out to what extent CHI participant samples are from Western societies, we analyzed papers published in the CHI proceedings between 2016-2020. Our findings show that 73% of CHI study findings are based on Western participant samples, representing less than 12% of the world’s population. Furthermore, we show that most participant samples at CHI tend to come from industrialized, rich, and democratic countries with generally highly educated populations. Encouragingly, recent years have seen a slight increase in non-Western samples and those that include several countries. We discuss suggestions for further broadening the international representation of CHI participant samples.
积极反馈和自我反思：支持代表性不足的求职者自我效能的特征
DOI：
10.1145/3313831.3376717
发表时间：
2020
期刊：
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
影响因子：
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作者：
Dillahunt, Tawanna R.;Hsiao, Joey Chiao-Yin
通讯作者：
Hsiao, Joey Chiao-Yin
影响因子：
16.4
作者：
Sue, S
通讯作者：
Sue, S
DreamGigs：设计一款为资源匮乏的求职者提供帮助的工具
DOI：
10.1145/3290605.3300808
发表时间：
2019
期刊：
Proceedings of CHI Conference on Human Factors in Computing Systems
影响因子：
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作者：
Dillahunt, Tawanna R.;Lu, Alex
通讯作者：
Lu, Alex