Evidence map›Paper›PMID 33501326›Full record

ArticleFrontiers in robotics and AI2020

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

Diego Torricelli, Carlos Rodriguez-Guerrero, Jan F Veneman, Simona Crea, Kristin Briem, Bigna Lenggenhager, Philipp Beckerle

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  10. Advances on mechanical designs for assistive ankle-foot orthoses.Frontiers in bioengineering and biotechnology · 2023
    Review
  11. Article
  12. Article
  13. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Diego TorricelliCajal institute, Spanish National Research Council (CSIC), Madrid, Spain.
Carlos Rodriguez-GuerreroRobotics and Multibody Mechanics Research Group, Department of Mechanical Engineering, Vrije Universiteit Brussel and Flanders Make, Brussels, Belgium.
Jan F VenemanHocoma AG, Volketswil, Switzerland.
Simona CreaThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.
Kristin BriemDepartment of Physical Therapy, Faculty of Medicine, Research Centre of Movement Science, University of Iceland, Reykjavík, Iceland.
Bigna LenggenhagerDepartment of Psychology, University of Zurich, Zurich, Switzerland.
Philipp BeckerleElastic Lightweight Robotics Group, Department of Electrical Engineering and Information Technology, Robotics Research Institute, Technische Universität Dortmund, Dortmund, Germany.

Funding

EASTERN COOPERATIVE ONCOLOGY GROUPU10CA016116 · NCI · JOHNS HOPKINS UNIVERSITY · PI FORASTIERE, ARLENE ANN · 1985 to 2013
$4.0M
NCI NIH HHS U10 CA016116
6 · The paper itself

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.

Indexed as

benchmarkingfunctionmethodologyuser experiencewearable robots

Identifiers

PMID33501326
PMCPMC7805816

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.