Evidence map›Paper›PMID 34725355›Full record

ArticleScientific reports2021

Playing the piano with a robotic third thumb: assessing constraints of human augmentation.

Ali Shafti, Shlomi Haar, Renato Mio, Pierre Guilleminot, A Aldo Faisal

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Can Training Make Three Arms Better Than Two Heads for Trimanual Coordination?IEEE open journal of engineering in medicine and biology · 2023
    Article
  4. Article
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

5 authors at 1 institution in 1 country.

Ali Shafti *Brain and Behaviour Laboratory, Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Shlomi Haar *Brain and Behaviour Laboratory, Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Renato MioBrain and Behaviour Laboratory, Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Pierre GuilleminotBrain and Behaviour Laboratory, Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
A Aldo FaisalBrain and Behaviour Laboratory, Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK. aldo.faisal@imperial.ac.uk.
Imperial College London · GB

Funding

Horizon 2020 644000
6 · The paper itself

Abstract

Contemporary robotics gives us mechatronic capabilities for augmenting human bodies with extra limbs. However, how our motor control capabilities pose limits on such augmentation is an open question. We developed a Supernumerary Robotic 3rd Thumbs (SR3T) with two degrees-of-freedom controlled by the user's body to endow them with an extra contralateral thumb on the hand. We demonstrate that a pianist can learn to play the piano with 11 fingers within an hour. We then evaluate 6 naïve and 6 experienced piano players in their prior motor coordination and their capability in piano playing with the robotic augmentation. We show that individuals' augmented performance with the SR3T could be explained by our new custom motor coordination assessment, the Human Augmentation Motor Coordination Assessment (HAMCA) performed pre-augmentation. Our work demonstrates how supernumerary robotics can augment humans in skilled tasks and that individual differences in their augmentation capability are explainable by their individual motor coordination abilities.

Identifiers

PMID34725355
PMCPMC8560761
OpenAlexW3209483549

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.