Special interest group on Transparent statistics in HCI

Matthew Kay, Shion Guha, Steve Haroz, Pierre Dragicevic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Scopus citations

Abstract

Transparent statistics is a philosophy of statistical reporting whose purpose is scientific advancement rather than persuasion. We propose a SIG 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.

Original languageEnglish (US)
Title of host publicationCHI EA 2016
Subtitle of host publication#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages1081-1084
Number of pages4
ISBN (Electronic)9781450340823
DOIs
StatePublished - May 7 2016
Externally publishedYes
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: May 7 2016May 12 2016

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume07-12-May-2016

Other

Other34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
Country/TerritoryUnited States
CitySan Jose
Period5/7/165/12/16

Keywords

  • Methodology
  • Statistics
  • User studies

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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