TY - GEN
T1 - Would Human-Robot Interaction Conferences Benefit From More Formal Reporting? Evaluating a Novel Study Reporting Form
AU - Holthaus, Patrick
AU - Rossi, Alessandra
AU - Shrestha, Snehesh
AU - Louie, Wing-Yue Geoffrey
AU - Ucar, Aysegul
AU - Hernández García, Daniel
AU - Foerster, Frank
AU - Andriella, Antonio
AU - Bagchi, Shelly
N1 - © 2025 IEEE. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1109/ICCC65529.2025.11148917
PY - 2025/11/3
Y1 - 2025/11/3
N2 - In an interdisciplinary and evolving research field like human-robot interaction, clear and precise results reporting is essential for study comparability and replicability. To address the lack of a standard for such reporting and, at the same time, provide guidance for novices in the field, we have developed a web-based reporting form to capture human-robot interaction studies, serving as a model for how conferences could adopt it into the submission pipeline. In this work, we present a formative evaluation of this form regarding its level of detail, format and clarity, and the perceived benefits for authors, reviewers, and the community as a whole. We report the expert review of nine researchers who highlight the substantial value of this tool. In addition, these experts also provide suggestions for improvements to its form and the addition of details surrounding qualitative reporting.
AB - In an interdisciplinary and evolving research field like human-robot interaction, clear and precise results reporting is essential for study comparability and replicability. To address the lack of a standard for such reporting and, at the same time, provide guidance for novices in the field, we have developed a web-based reporting form to capture human-robot interaction studies, serving as a model for how conferences could adopt it into the submission pipeline. In this work, we present a formative evaluation of this form regarding its level of detail, format and clarity, and the perceived benefits for authors, reviewers, and the community as a whole. We report the expert review of nine researchers who highlight the substantial value of this tool. In addition, these experts also provide suggestions for improvements to its form and the addition of details surrounding qualitative reporting.
UR - https://www.scopus.com/pages/publications/105024565627
U2 - 10.1109/RO-MAN63969.2025.11217886
DO - 10.1109/RO-MAN63969.2025.11217886
M3 - Conference contribution
T3 - IEEE International Workshop on Robot and Human Communication, RO-MAN
SP - 2192
EP - 2198
BT - 2025 34th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2025
PB - IEEE Xplore Digital Library
ER -