Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting
Bagchi, Shelly, Holthaus, Patrick, Beraldo, Gloria, Senft, Emmanuel, Hernández García, Daniel, Han, Zhao, Jayaraman, Suresh Kumaar, Rossi, Alessandra, Esterwood, Connor, Andriella, Antonio and Pridham, Paul
(2023)
Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting.
In:
HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction :.
ACM Press, pp. 629-633.
ISBN 9781450399708
In this paper, we present a proposed format for reporting human studies in Human-Robot Interaction (HRI). We call for details which are often overlooked or left out of research papers due to space constraints, and propose a standardized format to contain those details in paper appendices. Providing a formalized study reporting method will promote an increase in replicability and reproducibility of HRI studies and encourage meta-analysis and review, ultimately increasing the generalizability and validity of HRI research. Our draft is the first step towards these goals, and we welcome feedback from the HRI community on the included topics.
Item Type | Book Section |
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Additional information | © 2023 ACM. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1145/3568294.3580162 |
Keywords | guidelines, human studies, replicability, reporting, reproducibility, artificial intelligence, human-computer interaction, electrical and electronic engineering |
Date Deposited | 15 May 2025 16:48 |
Last Modified | 30 May 2025 23:19 |
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