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Lessons Learned About Designing and Conducting Studies From HRI Experts
The field of human-robot interaction (HRI) research is multidisciplinary and requires researchers to understand diverse fields including computer science, engineering, informatics, philosophy, psychology, and more disciplines. However, it is hard to be an expert in everything. To help HRI researcher...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832512/ https://www.ncbi.nlm.nih.gov/pubmed/35155588 http://dx.doi.org/10.3389/frobt.2021.772141 |
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author | Fraune, Marlena R. Leite, Iolanda Karatas, Nihan Amirova, Aida Legeleux, Amélie Sandygulova, Anara Neerincx, Anouk Dilip Tikas, Gaurav Gunes, Hatice Mohan, Mayumi Abbasi, Nida Itrat Shenoy, Sudhir Scassellati, Brian de Visser, Ewart J. Komatsu, Takanori |
author_facet | Fraune, Marlena R. Leite, Iolanda Karatas, Nihan Amirova, Aida Legeleux, Amélie Sandygulova, Anara Neerincx, Anouk Dilip Tikas, Gaurav Gunes, Hatice Mohan, Mayumi Abbasi, Nida Itrat Shenoy, Sudhir Scassellati, Brian de Visser, Ewart J. Komatsu, Takanori |
author_sort | Fraune, Marlena R. |
collection | PubMed |
description | The field of human-robot interaction (HRI) research is multidisciplinary and requires researchers to understand diverse fields including computer science, engineering, informatics, philosophy, psychology, and more disciplines. However, it is hard to be an expert in everything. To help HRI researchers develop methodological skills, especially in areas that are relatively new to them, we conducted a virtual workshop, Workshop Your Study Design (WYSD), at the 2021 International Conference on HRI. In this workshop, we grouped participants with mentors, who are experts in areas like real-world studies, empirical lab studies, questionnaire design, interview, participatory design, and statistics. During and after the workshop, participants discussed their proposed study methods, obtained feedback, and improved their work accordingly. In this paper, we present 1) Workshop attendees’ feedback about the workshop and 2) Lessons that the participants learned during their discussions with mentors. Participants’ responses about the workshop were positive, and future scholars who wish to run such a workshop can consider implementing their suggestions. The main contribution of this paper is the lessons learned section, where the workshop participants contributed to forming this section based on what participants discovered during the workshop. We organize lessons learned into themes of 1) Improving study design for HRI, 2) How to work with participants - especially children -, 3) Making the most of the study and robot’s limitations, and 4) How to collaborate well across fields as they were the areas of the papers submitted to the workshop. These themes include practical tips and guidelines to assist researchers to learn about fields of HRI research with which they have limited experience. We include specific examples, and researchers can adapt the tips and guidelines to their own areas to avoid some common mistakes and pitfalls in their research. |
format | Online Article Text |
id | pubmed-8832512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88325122022-02-12 Lessons Learned About Designing and Conducting Studies From HRI Experts Fraune, Marlena R. Leite, Iolanda Karatas, Nihan Amirova, Aida Legeleux, Amélie Sandygulova, Anara Neerincx, Anouk Dilip Tikas, Gaurav Gunes, Hatice Mohan, Mayumi Abbasi, Nida Itrat Shenoy, Sudhir Scassellati, Brian de Visser, Ewart J. Komatsu, Takanori Front Robot AI Robotics and AI The field of human-robot interaction (HRI) research is multidisciplinary and requires researchers to understand diverse fields including computer science, engineering, informatics, philosophy, psychology, and more disciplines. However, it is hard to be an expert in everything. To help HRI researchers develop methodological skills, especially in areas that are relatively new to them, we conducted a virtual workshop, Workshop Your Study Design (WYSD), at the 2021 International Conference on HRI. In this workshop, we grouped participants with mentors, who are experts in areas like real-world studies, empirical lab studies, questionnaire design, interview, participatory design, and statistics. During and after the workshop, participants discussed their proposed study methods, obtained feedback, and improved their work accordingly. In this paper, we present 1) Workshop attendees’ feedback about the workshop and 2) Lessons that the participants learned during their discussions with mentors. Participants’ responses about the workshop were positive, and future scholars who wish to run such a workshop can consider implementing their suggestions. The main contribution of this paper is the lessons learned section, where the workshop participants contributed to forming this section based on what participants discovered during the workshop. We organize lessons learned into themes of 1) Improving study design for HRI, 2) How to work with participants - especially children -, 3) Making the most of the study and robot’s limitations, and 4) How to collaborate well across fields as they were the areas of the papers submitted to the workshop. These themes include practical tips and guidelines to assist researchers to learn about fields of HRI research with which they have limited experience. We include specific examples, and researchers can adapt the tips and guidelines to their own areas to avoid some common mistakes and pitfalls in their research. Frontiers Media S.A. 2022-01-28 /pmc/articles/PMC8832512/ /pubmed/35155588 http://dx.doi.org/10.3389/frobt.2021.772141 Text en Copyright © 2022 Fraune, Leite, Karatas, Amirova, Legeleux, Sandygulova, Neerincx, Dilip Tikas, Gunes, Mohan, Abbasi, Shenoy, Scassellati, de Visser and Komatsu. 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 Fraune, Marlena R. Leite, Iolanda Karatas, Nihan Amirova, Aida Legeleux, Amélie Sandygulova, Anara Neerincx, Anouk Dilip Tikas, Gaurav Gunes, Hatice Mohan, Mayumi Abbasi, Nida Itrat Shenoy, Sudhir Scassellati, Brian de Visser, Ewart J. Komatsu, Takanori Lessons Learned About Designing and Conducting Studies From HRI Experts |
title | Lessons Learned About Designing and Conducting Studies From HRI Experts |
title_full | Lessons Learned About Designing and Conducting Studies From HRI Experts |
title_fullStr | Lessons Learned About Designing and Conducting Studies From HRI Experts |
title_full_unstemmed | Lessons Learned About Designing and Conducting Studies From HRI Experts |
title_short | Lessons Learned About Designing and Conducting Studies From HRI Experts |
title_sort | lessons learned about designing and conducting studies from hri experts |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832512/ https://www.ncbi.nlm.nih.gov/pubmed/35155588 http://dx.doi.org/10.3389/frobt.2021.772141 |
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