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 workshop at CHI 2017: We are running a workshop at CHI 2017 aimed at developing guidelines and resources for the field. Details and instructions for submitting a position statement to attend are here.
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 statement from CHI 2016: We ran a SIG on transparent statistics at CHI 2016. Our statement and materials from the SIG are available here.