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Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives
Wearable robots (WRs) are increasingly moving out of the labs toward real-world applications. In order for WRs to be effectively and widely adopted by end-users, a common benchmarking framework needs to be established. In this article, we outline the perspectives that in our opinion are the main det...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805816/ https://www.ncbi.nlm.nih.gov/pubmed/33501326 http://dx.doi.org/10.3389/frobt.2020.561774 |
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author | Torricelli, Diego Rodriguez-Guerrero, Carlos Veneman, Jan F. Crea, Simona Briem, Kristin Lenggenhager, Bigna Beckerle, Philipp |
author_facet | Torricelli, Diego Rodriguez-Guerrero, Carlos Veneman, Jan F. Crea, Simona Briem, Kristin Lenggenhager, Bigna Beckerle, Philipp |
author_sort | Torricelli, Diego |
collection | PubMed |
description | Wearable robots (WRs) are increasingly moving out of the labs toward real-world applications. In order for WRs to be effectively and widely adopted by end-users, a common benchmarking framework needs to be established. In this article, we outline the perspectives that in our opinion are the main determinants of this endeavor, and exemplify the complex landscape into three areas. The first perspective is related to quantifying the technical performance of the device and the physical impact of the device on the user. The second one refers to the understanding of the user's perceptual, emotional, and cognitive experience of (and with) the technology. The third one proposes a strategic path for a global benchmarking methodology, composed by reproducible experimental procedures representing real-life conditions. We hope that this paper can enable developers, researchers, clinicians and end-users to efficiently identify the most promising directions for validating their technology and drive future research efforts in the short and medium term. |
format | Online Article Text |
id | pubmed-7805816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78058162021-01-25 Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives Torricelli, Diego Rodriguez-Guerrero, Carlos Veneman, Jan F. Crea, Simona Briem, Kristin Lenggenhager, Bigna Beckerle, Philipp Front Robot AI Robotics and AI Wearable robots (WRs) are increasingly moving out of the labs toward real-world applications. In order for WRs to be effectively and widely adopted by end-users, a common benchmarking framework needs to be established. In this article, we outline the perspectives that in our opinion are the main determinants of this endeavor, and exemplify the complex landscape into three areas. The first perspective is related to quantifying the technical performance of the device and the physical impact of the device on the user. The second one refers to the understanding of the user's perceptual, emotional, and cognitive experience of (and with) the technology. The third one proposes a strategic path for a global benchmarking methodology, composed by reproducible experimental procedures representing real-life conditions. We hope that this paper can enable developers, researchers, clinicians and end-users to efficiently identify the most promising directions for validating their technology and drive future research efforts in the short and medium term. Frontiers Media S.A. 2020-11-13 /pmc/articles/PMC7805816/ /pubmed/33501326 http://dx.doi.org/10.3389/frobt.2020.561774 Text en Copyright © 2020 Torricelli, Rodriguez-Guerrero, Veneman, Crea, Briem, Lenggenhager and Beckerle. http://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 Torricelli, Diego Rodriguez-Guerrero, Carlos Veneman, Jan F. Crea, Simona Briem, Kristin Lenggenhager, Bigna Beckerle, Philipp Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives |
title | Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives |
title_full | Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives |
title_fullStr | Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives |
title_full_unstemmed | Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives |
title_short | Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives |
title_sort | benchmarking wearable robots: challenges and recommendations from functional, user experience, and methodological perspectives |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805816/ https://www.ncbi.nlm.nih.gov/pubmed/33501326 http://dx.doi.org/10.3389/frobt.2020.561774 |
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