Literature DB >> 35086007

Vibrotactile feedback in virtual motor learning: A systematic review.

Md Shafiqul Islam1, Sol Lim2.   

Abstract

Vibrotactile feedback can be effectively applied to motor (physical) learning in virtual environments, as it can provide task-intrinsic and augmented feedback to users, assisting them in enhancing their motor performance. This review investigates current uses of vibrotactile feedback systems in motor learning applications built upon virtual environments by systematically synthesizing 24 peer-reviewed studies. We aim to understand: (1) the current state of the science of using real-time vibrotactile feedback in virtual environments for aiding the acquisition (or improvement) of motor skills, (2) the effectiveness of using vibrotactile feedback in such applications, and (3) research gaps and opportunities in current technology. We used the Sensing-Analysis-Assessment-Intervention framework to assess the scientific literature in our review. The review identifies several research gaps in current studies, as well as potential design considerations that can improve vibrotactile feedback systems in virtual motor learning applications, including the selection and placement of feedback devices and feedback designs.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Motor learning; Vibrotactile feedback; Virtual environment

Mesh:

Year:  2022        PMID: 35086007     DOI: 10.1016/j.apergo.2022.103694

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  1 in total

1.  The Newfound Opportunities of Wearable Systems Based on Biofeedback in the Prevention of Falls. Comment on Tanwar et al. Pathway of Trends and Technologies in Fall Detection: A Systematic Review. Healthcare 2022, 10, 172.

Authors:  Giovanni Morone; Giovanni Maccioni; Daniele Giansanti
Journal:  Healthcare (Basel)       Date:  2022-05-19
  1 in total

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