Evidence map›Paper›PMID 34321035›Full record

Trial reportJournal of neuroengineering and rehabilitation2021

A robot goes to rehab: a novel gamified system for long-term stroke rehabilitation using a socially assistive robot-methodology and usability testing.

Ronit Feingold-Polak, Oren Barzel, Shelly Levy-Tzedek

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03651063 (Socially Assistive Robot in Upper-Limb Neurorehabilitation), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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.

NCT03651063 nacompletednot on this map

Socially Assistive Robot in Upper-Limb Neurorehabilitation: A Long-Term Intervention RCT Using Behavioral Techniques

TypeinterventionalSponsorBen-Gurion University of the NegevRan2019 to 2021Enrolled30ConditionsUpper Extremity ParalysisArmssocial robot, computer group
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Use of Socially Assistive Robots in Physiotherapy: Scoping Review.JMIR rehabilitation and assistive technologies · 2025
    Review
  3. Article
  4. Automated planning and scheduling in robot-aided rehabilitation: a review.Journal of neuroengineering and rehabilitation · 2025
    Review
  5. Article
  6. Article
  7. Care provided by humanoid robots: a scoping review.Investigacion y educacion en enfermeria · 2025
    Article
  8. Review
  9. Review
  10. Article
  11. GoBot Go! Using a Custom Assistive Robot to Promote Physical Activity in Children.IEEE journal of translational engineering in health and medicine · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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  20. 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

3 authors.

Ronit Feingold-PolakDepartment of Physical Therapy, Recanati School for Community Health Professions, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Oren BarzelSheba Medical Center, Ramat Gan, Israel.
Shelly Levy-TzedekDepartment of Physical Therapy, Recanati School for Community Health Professions, Ben-Gurion University of the Negev, Beer-Sheva, Israel. shelly@bgu.ac.il.ORCID 0000-0002-5853-3235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocially assistive robots (SARs) have been proposed as a tool to help individuals who have had a stroke to perform their exercise during their rehabilitation process. Yet, to date, there are no data on the motivating benefit of SARs in a long-term interaction with post-stroke patients.

methodsHere, we describe a robot-based gamified exercise platform, which we developed for long-term post-stroke rehabilitation. The platform uses the humanoid robot Pepper, and also has a computer-based configuration (with no robot). It includes seven gamified sets of exercises, which are based on functional tasks from the everyday life of the patients. The platform gives the patients instructions, as well as feedback on their performance, and can track their performance over time. We performed a long-term patient-usability study, where 24 post-stroke patients were randomly allocated to exercise with this platform-either with the robot or the computer configuration-over a 5-7 week period, 3 times per week, for a total of 306 sessions.

resultsThe participants in both groups reported that this rehabilitation platform addressed their arm rehabilitation needs, and they expressed their desire to continue training with it even after the study ended. We found a trend for higher acceptance of the system by the participants in the robot group on all parameters; however, this difference was not significant. We found that system failures did not affect the long-term trust that users felt towards the system.

conclusionsWe demonstrated the usability of using this platform for a long-term rehabilitation with post-stroke patients in a clinical setting. We found high levels of acceptance of both platform configurations by patients following this interaction, with higher ratings given to the SAR configuration. We show that it is not the mere use of technology that increases the motivation of the person to practice, but rather it is the appreciation of the technology's effectiveness and its perceived contribution to the rehabilitation process. In addition, we provide a list of guidelines that can be used when designing and implementing other technological tools for rehabilitation.

trial registrationThis trial is registered in the NIH ClinicalTrials.gov database. Registration number NCT03651063, registration date 21.08.2018. https://clinicaltrials.gov/ct2/show/NCT03651063 .

Indexed as

RoboticsStroke RehabilitationExercise TherapyHumansUser-Centered DesignUser-Computer InterfaceCo-designExergamesIn-the-wild-studyParticipatory designRehabilitationSocially assistive robotsStrokeTrust

Identifiers

PMID34321035
PMCPMC8316882

What OpenQuestion holds

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Registered trials

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.