n 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.
Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting
Beraldo G.;
2023
Abstract
n 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.File | Dimensione | Formato | |
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HRI_2023_LBR_Study_Reporting_lbr1219.pdf
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Descrizione: Shelly Bagchi, Patrick Holthaus, Gloria Beraldo, Emmanuel Senft, Daniel Hernandez Garcia, Zhao Han, Suresh Kumaar Jayaraman, Alessandra Rossi, Connor Esterwood, Antonio Andriella, and Paul Pridham. 2023. Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI '23). Association for Computing Machinery, New York, NY, USA, 629–633. https://doi.org/10.1145/3568294.3580162
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