  Study reproducibility and generalizability of results to broadly inclusive
populations is crucial in any research. Previous meta-analyses in HRI have
focused on the consistency of reported information from papers in various
categories. However, members of the HRI community have noted that much of the
information needed for reproducible and generalizable studies is not found in
published papers. We address this issue by surveying the reported study
metadata over the past three years (2019 through 2021) of the main proceedings
of the International Conference on Human-Robot Interaction (HRI) as well as
alt.HRI. Based on the analysis results, we propose a set of recommendations for
the HRI community that follow the longer-standing reporting guidelines from
human-computer interaction (HCI), psychology, and other fields most related to
HRI. Finally, we examine three key areas for user study reproducibility:
recruitment details, participant compensation, and participant gender. We find
a lack of reporting within each of these study metadata categories: of the 236
studies, 139 studies failed to report recruitment method, 118 studies failed to
report compensation, and 62 studies failed to report gender data. This analysis
therefore provides guidance about specific types of needed reporting
improvements for HRI.
