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Benchmarking Wearable Robots : Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives

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
Author: Torricelli, Diego
Rodriguez-Guerrero, Carlos
Veneman, Jan F.
Crea, Simona
Briem, Kristín
Lenggenhager, Bigna
Beckerle, Philipp
Date: 2020-11-13
Language: English
Scope:
Department: Faculty of Medicine
Series: Frontiers in Robotics and AI; 7()
ISSN: 2296-9144
DOI: https://doi.org/10.3389/frobt.2020.561774
Subject: Gervigreind; benchmarking; function; methodology; user experience; wearable robots; Computer Science Applications; Artificial Intelligence
URI: https://hdl.handle.net/20.500.11815/3301

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Citation:

Torricelli , D , Rodriguez-Guerrero , C , Veneman , J F , Crea , S , Briem , K , Lenggenhager , B & Beckerle , P 2020 , ' Benchmarking Wearable Robots : Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives ' , Frontiers in Robotics and AI , vol. 7 , 561774 . https://doi.org/10.3389/frobt.2020.561774

Abstract:

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.

Description:

Funding Information: This work has been supported by the H2020 Project EUROBENCH (grant no. 779963), and was partly based on Funding Information: Funding. 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). Publisher Copyright: © Copyright © 2020 Torricelli, Rodriguez-Guerrero, Veneman, Crea, Briem, Lenggenhager and Beckerle.

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