Moving Transparent Statistics Forward at CHI

Abstract : 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.
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Document associé à des manifestations scientifiques
CHI 2017 - ACM Conference on Human Factors in Computing Systems, May 2017, Denver, Colorado, United States. ACM, Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp.534-541, 〈10.1145/3027063.3027084〉
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Soumis le : mercredi 6 décembre 2017 - 11:21:15
Dernière modification le : mercredi 13 juin 2018 - 01:11:18

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Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic, Chat Wacharamanotham. Moving Transparent Statistics Forward at CHI. CHI 2017 - ACM Conference on Human Factors in Computing Systems, May 2017, Denver, Colorado, United States. ACM, Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp.534-541, 〈10.1145/3027063.3027084〉. 〈hal-01656942〉

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