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Transparency in qualitative research: Increasing fairness in the CHI review process

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review


  • Poorna Talkad Sukumar, University of Notre Dame
  • ,
  • Ignacio Avellino, Sorbonne Université
  • ,
  • Christian Remy
  • ,
  • Michael A. Devito, Northwestern University
  • ,
  • Tawanna R. Dillahunt, University of Michigan, Ann Arbor
  • ,
  • Joanna McGrenere, University of British Columbia
  • ,
  • Max L. Wilson, University of Nottingham

Transparency in process and its reporting is paramount for establishing the rigor of qualitative studies. However, the CHI conference receives submissions with varying levels of transparency and oftentimes, papers that are more transparent can be inadvertently subjected to more scrutiny in the review process, raising issues of fairness. In this panel, we bring together researchers with diverse qualitative work experiences to present examples of transparency-related initiatives and their corresponding review responses. We aim to work towards setting standards for transparent reporting in qualitative-work submissions and increasing fairness in the review process. We focus on the challenges in achieving transparency in qualitative research and current workarounds to overcome frictions in the reviewing process through engaging discussions involving panelists and the audience.

TitelCHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
ForlagAssociation for Computing Machinery
Udgivelsesårapr. 2020
ISBN (Elektronisk)9781450368193
StatusUdgivet - apr. 2020
Begivenhed2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, USA
Varighed: 25 apr. 202030 apr. 2020


Konference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
SerietitelConference on Human Factors in Computing Systems - Proceedings

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