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Perspectives on human-human sensorimotor interactions for the design of rehabilitation robots

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, October 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 1,413)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
19 news outlets
blogs
1 blog
twitter
7 X users

Readers on

mendeley
187 Mendeley
citeulike
1 CiteULike
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Title
Perspectives on human-human sensorimotor interactions for the design of rehabilitation robots
Published in
Journal of NeuroEngineering and Rehabilitation, October 2014
DOI 10.1186/1743-0003-11-142
Pubmed ID
Authors

Andrew Sawers, Lena H Ting

Abstract

Physical interactions between patients and therapists during rehabilitation have served as motivation for the design of rehabilitation robots, yet we lack a fundamental understanding of the principles governing such human-human interactions (HHI). Here we review the literature and pose important open questions regarding sensorimotor interaction during HHI that could facilitate the design of human-robot interactions (HRI) and haptic interfaces for rehabilitation. Based on the goals of physical rehabilitation, three subcategories of sensorimotor interaction are identified: sensorimotor collaboration, sensorimotor assistance, and sensorimotor education. Prior research has focused primarily on sensorimotor collaboration and is generally limited to relatively constrained visuomotor tasks. Moreover, the mechanisms by which performance improvements are achieved during sensorimotor cooperation with haptic interaction remains unknown. We propose that the effects of role assignment, motor redundancy, and skill level in sensorimotor cooperation should be explicitly studied. Additionally, the importance of haptic interactions may be better revealed in tasks that do not require visual feedback. Finally, cooperative motor tasks that allow for motor improvement during solo performance to be examined may be particularly relevant for rehabilitation robotics. Identifying principles that guide human-human sensorimotor interactions may lead to the development of robots that can physically interact with humans in more intuitive and biologically inspired ways, thereby enhancing rehabilitation outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Czechia 1 <1%
Canada 1 <1%
Korea, Republic of 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 180 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 20%
Student > Master 27 14%
Researcher 25 13%
Student > Bachelor 17 9%
Student > Doctoral Student 12 6%
Other 28 15%
Unknown 40 21%
Readers by discipline Count As %
Engineering 85 45%
Nursing and Health Professions 10 5%
Medicine and Dentistry 9 5%
Computer Science 8 4%
Psychology 6 3%
Other 24 13%
Unknown 45 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 161. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 July 2017.
All research outputs
#253,825
of 25,374,917 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#8
of 1,413 outputs
Outputs of similar age
#2,360
of 267,322 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#1
of 19 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.