Promoting research transparency in HCI
Research transparency refers to honesty and clarity in all communications about the research processes and outcomes—to the extent possible [Wacharamanotham et al. 2023].
Human–Computer Interaction (HCI) researchers have the knowledge and skills to conduct empirical inquiries into phenomena in transparent quantitative research and to design and implement potential solutions. HCI researchers come from a broad range of academic backgrounds (e.g., Computer Science, Psychology, Design, Sociology)—and represent a wide range of expertise in quantitative research methods. Therefore, HCI research communities provide a challenging testbed for potential solutions to problems in transparent quantitative research.
This page lists some of Chat’s work to promote research transparency.
Events
Courses and tutorials on Transparent Practices for Quantitative Empirical Research in HCI
2021 - Dagstuhl seminar: Transparent Quantitative Research as a User Interface Problem
Research articles
2020 - A survey of CHI authors on transparency of CHI research artifacts DOI OSF
2023 - An analysis of CHI empirical papers in 2017 and 2022 assessing changes in practices in Research Ethics, Openness, and Transparency DOI OSF
Journal
- Journal of Visualization and Interaction: An open-access journal embracing interactive publication formats and an open reviewing process.