Evidence map›Paper›PMID 29151360›Full record

ArticleJournal of neuroengineering and rehabilitation2017

Balancing the playing field: collaborative gaming for physical training.

Michael Mace, Nawal Kinany, Paul Rinne, Anthony Rayner, Paul Bentley, Etienne Burdet

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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.

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, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. AlphaNeural regeneration research · 2023
    Article
  13. Article
  14. SAR-Connect: A Socially Assistive Robotic System to Support Activity and Social Engagement of Older Adults.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2022
    Article
  15. Human-machine-human interaction in motor control and rehabilitation: a review.Journal of neuroengineering and rehabilitation · 2021
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Cooperative Cooking: A Novel Virtual Environment for Upper Limb Rehabilitation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018
    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.

Michael MaceDepartment of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK. m.mace11@imperial.ac.uk.ORCID http://orcid.org/0000-0001-9599-448X
Nawal KinanyDepartment of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Paul RinneDepartment of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Anthony RaynerDivision of Brain Sciences, Imperial College of Science, Technology and Medicine, London, UK.
Paul BentleyDivision of Brain Sciences, Imperial College of Science, Technology and Medicine, London, UK.
Etienne BurdetDepartment of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.

Funding

Engineering and Physical Sciences Research Council EP/N029003/1 MOTIONFP7 Ideas: European Research Council ICT-2013-10 SYMBITRONFP7 Ideas: European Research Council ICT-601003 BALANCEFP7 Ideas: European Research Council PEOPLE-ITN-317488-CONTESTH2020 European Research Council ICT-644727 COGIMONImperial College London Imperial Confidence in Concept (ICiC) AwardMedical Research Council MC_PC_14100
6 · The paper itself

Abstract

backgroundMultiplayer video games promoting exercise-based rehabilitation may facilitate motor learning, by increasing motivation through social interaction. However, a major design challenge is to enable meaningful inter-subject interaction, whilst allowing for significant skill differences between players. We present a novel motor-training paradigm that allows real-time collaboration and performance enhancement, across a wide range of inter-subject skill mismatches, including disabled vs. able-bodied partnerships.

methodsA virtual task consisting of a dynamic ball on a beam, is controlled at each end using independent digital force-sensing handgrips. Interaction is mediated through simulated physical coupling and locally-redundant control. Game performance was measured in 16 healthy-healthy and 16 patient-expert dyads, where patients were hemiparetic stroke survivors using their impaired arm. Dual-player was compared to single-player performance, in terms of score, target tracking, stability, effort and smoothness; and questionnaires probing user-experience and engagement.

resultsPerformance of less-able subjects (as ranked from single-player ability) was enhanced by dual-player mode, by an amount proportionate to the partnership's mismatch. The more abled partners' performances decreased by a similar amount. Such zero-sum interactions were observed for both healthy-healthy and patient-expert interactions. Dual-player was preferred by the majority of players independent of baseline ability and subject group; healthy subjects also felt more challenged, and patients more skilled.

conclusionThis is the first demonstration of implicit skill balancing in a truly collaborative virtual training task leading to heightened engagement, across both healthy subjects and stroke patients.

Indexed as

Interpersonal RelationsVideo GamesAgedExercise TherapyFemaleHumansMaleMotivationStroke RehabilitationCollaborationExergamesPatient engagementPhysical exerciseRehabilitationRoboticsSocial interactionStroke

Identifiers

PMID29151360
PMCPMC5694911

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.