Evidence map›Paper›PMID 36616877›Full record

ArticleSensors (Basel, Switzerland)2022

Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals.

Hyeonseok Kim, Makoto Miyakoshi, Yeongdae Kim, Sorawit Stapornchaisit, Natsue Yoshimura, Yasuharu Koike

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Hyeonseok KimSwartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093, USA.
Makoto MiyakoshiSwartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-4062-6679
Yeongdae KimDepartment of Industrial Engineering and Economics, Tokyo Institute of Technology, Tokyo 152-8550, Japan.
Sorawit StapornchaisitDepartment of Information and Communications Engineering, Tokyo Institute of Technology, Yokohama 226-0026, Japan.
Natsue YoshimuraInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-0026, Japan.ORCID 0000-0002-7495-9113
Yasuharu KoikeInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-0026, Japan.ORCID 0000-0002-8169-0044

Funding

Japan Society for the Promotion of Science 19H05728Tateisi Science and Technology Foundation 2188001
6 · The paper itself

Abstract

This study addresses time intervals during robot control that dominate user satisfaction and factors of robot movement that induce satisfaction. We designed a robot control system using electromyography signals. In each trial, participants were exposed to different experiences as the cutoff frequencies of a low-pass filter were changed. The participants attempted to grab a bottle by controlling a robot. They were asked to evaluate four indicators (stability, imitation, response time, and movement speed) and indicate their satisfaction at the end of each trial by completing a questionnaire. The electroencephalography signals of the participants were recorded while they controlled the robot and responded to the questionnaire. Two independent component clusters in the precuneus and postcentral gyrus were the most sensitive to subjective evaluations. For the moment that dominated satisfaction, we observed that brain activity exhibited significant differences in satisfaction not immediately after feeding an input but during the later stage. The other indicators exhibited independently significant patterns in event-related spectral perturbations. Comparing these indicators in a low-frequency band related to the satisfaction with imitation and movement speed, which had significant differences, revealed that imitation covered significant intervals in satisfaction. This implies that imitation was the most important contributing factor among the four indicators. Our results reveal that regardless of subjective satisfaction, objective performance evaluation might more fully reflect user satisfaction.

Indexed as

RoboticsElectroencephalographyElectromyographyHandHumansMovementUpper Extremityelectroencephalographyelectromyographyrobot controlsatisfactionsubjective response

Identifiers

PMID36616877
PMCPMC9823960

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Registered trials

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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.