2024-03-29T01:16:09Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/2287792021-04-23T06:50:22Zcom_10261_54com_10261_1col_10261_307
Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives
Torricelli, Diego
Rodriguez-Guerrero, C.
Veneman, Jan F.
Crea, S.
Briem, K.
Lenggenhager, B.
Beckerle, P.
European Commission
European Cooperation in Science and Technology
Benchmarking
wearable robots
function
user experience
methodology
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.
This work has been supported by the H2020 Project EUROBENCH (grant no. 779963), and was partly based on work within the COST Action CA16116 Wearable Robots for Augmentation, Assistance or Substitution of Human Motor Functions, supported by COST (European Cooperation in Science and Technology).
2021-02-05T18:10:05Z
2021-02-05T18:10:05Z
2020-11-13
2021-02-05T18:10:06Z
artículo
http://purl.org/coar/resource_type/c_6501
doi: 10.3389/frobt.2020.561774
issn: 2296-9144
Frontiers in Robotics and AI 7 (2020)
http://hdl.handle.net/10261/228779
10.3389/frobt.2020.561774
http://dx.doi.org/10.13039/501100000921
http://dx.doi.org/10.13039/501100000780
#PLACEHOLDER_PARENT_METADATA_VALUE#
eu-repo/grantAgreement/EC/H2020/779963
Publisher's version
http://dx.doi.org/10.3389/frobt.2020.561774
Sí
open
Frontiers Media