Moving Transparent Statistics Forward at CHI
Moving Transparent Statistics Forward at CHI
复制标题
CHI 推动透明统计
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Chat Wacharamanotham
中科院分区：
文献类型：
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作者：
Matthew Kay;Steve Haroz;Shion Guha;Pierre Dragicevic;Chat Wacharamanotham
透明统计是统计报告的一种哲学，其目的是科学进步而不是说服。我们在CHI 2016上运行了一个SIG，讨论HCI中统计实践的问题和局限性，以及将该领域推向更清晰，更可靠的实验写作方式的选择，并收到了压倒性的回应。这个SIG产生了评审指南的初稿，作者的资源，以及其他在该领域推进透明统计愿景的建议;今年，我们建议举办一个为期一天的集中写作研讨会，将这些文件发展成一个完善的状态，并从CHI社区的不同部门获得投入。
Transparent statistics is a philosophy of statistical reporting whose purpose is scientific advancement rather than persuasion. We ran a SIG at CHI 2016 to discuss problems and limitations in statistical practices in HCI and options for moving the field towards clearer and more reliable ways of writing about experiments, and received an overwhelming response. This SIG resulted in rough drafts of reviewer guidelines, resources for authors, and other suggestions for advancing a vision of transparent statistics within the field; this year, we propose a concentrated one-day writing workshop to develop those documents into a polished state with input from a diverse cross-section of the CHI community.