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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 (2024)
Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives.
In: Frontiers in Robotics and AI, 2020, 7
doi: 10.26083/tuprints-00016183
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Torricelli, Diego ; Rodriguez-Guerrero, Carlos ; Veneman, Jan F. ; Crea, Simona ; Briem, Kristin ; Lenggenhager, Bigna ; Beckerle, Philipp
Art des Eintrags: Zweitveröffentlichung
Titel: Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological Perspectives
Sprache: Englisch
Publikationsjahr: 8 März 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 13 November 2020
Ort der Erstveröffentlichung: Lausanne
Verlag: Frontiers Media S.A.
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Frontiers in Robotics and AI
Jahrgang/Volume einer Zeitschrift: 7
Kollation: 7 Seiten
DOI: 10.26083/tuprints-00016183
URL / URN: https://tuprints.ulb.tu-darmstadt.de/16183
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Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (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.

Freie Schlagworte: benchmarking, wearable robots, function, user experience, methodology
ID-Nummer: Artikel-ID: 561774
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-161836
Zusätzliche Informationen:

This article is part of the Research Topic: Interfacing Humans and Machines for Rehabilitation and Assistive Devices

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 100 Philosophie und Psychologie > 150 Psychologie
600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin, Gesundheit
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
600 Technik, Medizin, angewandte Wissenschaften > 621.3 Elektrotechnik, Elektronik
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Mechatronische Systeme im Maschinenbau (IMS)
Hinterlegungsdatum: 08 Mär 2024 13:18
Letzte Änderung: 11 Mär 2024 06:23
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