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Towards Improved Replicability of Human Studies in Human-Robot Interaction

Shelly Bagchi, Patrick Holthaus, Gloria Beraldo, Emmanuel Senft, Daniel Hernández García, Han Zhao, Suresh Kumaar Jayaraman, Alessandra Rossi, Connor Esterwood, Antonio Andriella, Paul Pridham

Year
2023
Citations
6

Abstract

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.

Keywords

Generalizability theoryComputer scienceHuman–robot interactionRobotHuman–computer interactionSpace (punctuation)Data scienceArtificial intelligencePsychology

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