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

What and How Are We Reporting in HRI? A Review and Recommendations for Reporting Recruitment, Compensation, and Gender