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Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement
There is a confidence crisis in many scientific disciplines, in particular disciplines researching human behavior, as many effects of original experiments have not been replicated successfully in large-scale replication studies. While human-robot interaction (HRI) is an interdisciplinary research fi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961736/ https://www.ncbi.nlm.nih.gov/pubmed/35360497 http://dx.doi.org/10.3389/frobt.2022.838116 |
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author | Leichtmann, Benedikt Nitsch, Verena Mara, Martina |
author_facet | Leichtmann, Benedikt Nitsch, Verena Mara, Martina |
author_sort | Leichtmann, Benedikt |
collection | PubMed |
description | There is a confidence crisis in many scientific disciplines, in particular disciplines researching human behavior, as many effects of original experiments have not been replicated successfully in large-scale replication studies. While human-robot interaction (HRI) is an interdisciplinary research field, the study of human behavior, cognition and emotion in HRI plays also a vital part. Are HRI user studies facing the same problems as other fields and if so, what can be done to overcome them? In this article, we first give a short overview of the replicability crisis in behavioral sciences and its causes. In a second step, we estimate the replicability of HRI user studies mainly 1) by structural comparison of HRI research processes and practices with those of other disciplines with replicability issues, 2) by systematically reviewing meta-analyses of HRI user studies to identify parameters that are known to affect replicability, and 3) by summarizing first replication studies in HRI as direct evidence. Our findings suggest that HRI user studies often exhibit the same problems that caused the replicability crisis in many behavioral sciences, such as small sample sizes, lack of theory, or missing information in reported data. In order to improve the stability of future HRI research, we propose some statistical, methodological and social reforms. This article aims to provide a basis for further discussion and a potential outline for improvements in the field. |
format | Online Article Text |
id | pubmed-8961736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89617362022-03-30 Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement Leichtmann, Benedikt Nitsch, Verena Mara, Martina Front Robot AI Robotics and AI There is a confidence crisis in many scientific disciplines, in particular disciplines researching human behavior, as many effects of original experiments have not been replicated successfully in large-scale replication studies. While human-robot interaction (HRI) is an interdisciplinary research field, the study of human behavior, cognition and emotion in HRI plays also a vital part. Are HRI user studies facing the same problems as other fields and if so, what can be done to overcome them? In this article, we first give a short overview of the replicability crisis in behavioral sciences and its causes. In a second step, we estimate the replicability of HRI user studies mainly 1) by structural comparison of HRI research processes and practices with those of other disciplines with replicability issues, 2) by systematically reviewing meta-analyses of HRI user studies to identify parameters that are known to affect replicability, and 3) by summarizing first replication studies in HRI as direct evidence. Our findings suggest that HRI user studies often exhibit the same problems that caused the replicability crisis in many behavioral sciences, such as small sample sizes, lack of theory, or missing information in reported data. In order to improve the stability of future HRI research, we propose some statistical, methodological and social reforms. This article aims to provide a basis for further discussion and a potential outline for improvements in the field. Frontiers Media S.A. 2022-03-11 /pmc/articles/PMC8961736/ /pubmed/35360497 http://dx.doi.org/10.3389/frobt.2022.838116 Text en Copyright © 2022 Leichtmann, Nitsch and Mara. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Leichtmann, Benedikt Nitsch, Verena Mara, Martina Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement |
title | Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement |
title_full | Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement |
title_fullStr | Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement |
title_full_unstemmed | Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement |
title_short | Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement |
title_sort | crisis ahead? why human-robot interaction user studies may have replicability problems and directions for improvement |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961736/ https://www.ncbi.nlm.nih.gov/pubmed/35360497 http://dx.doi.org/10.3389/frobt.2022.838116 |
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