Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationHRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
PublisherACM Press
Pages629-633
Number of pages5
ISBN (Electronic)9781450399708
DOIs
Publication statusPublished - 13 Mar 2023

Keywords

  • guidelines
  • human studies
  • replicability
  • reporting
  • reproducibility

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