Transparent Statistics in Human–Computer Interaction
Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic, and Chat Wacharamanotham
Transparent statistics is a philosophy of statistical reporting whose purpose is scientific advancement rather than persuasion. We are interested in moving the field of HCI towards clearer and more reliable ways of writing about experiments.
Attend our SIG at CHI 2018: We are running a SIG at CHI 2018 aimed at testing initial draft guidelines and soliciting volunteers to help draft new guidelines.
Join our mailing list: We have started a mailing list to continue the conversation started at CHI 2016, with the goal of developing concrete recommendations to move the field forward.
Read our previous statements and materials from CHI 2016 and CHI 2017: We ran a SIG on transparent statistics at CHI 2016 and a workshop at CHI 2017. Our statement and materials from the SIG are available here and materials from the workshop are here.