Augmented feedback to enhance motor and artistic learning during social distancing

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:17 publications

Grant number: ES/V015354/1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2021
  • Known Financial Commitments (USD)

    $310,919.42
  • Funder

    UK Research and Innovation (UKRI)
  • Principal Investigator

    Elisabetta Versace
  • Research Location

    United Kingdom
  • Lead Research Institution

    Queen Mary University of London
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Social impacts

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Social distancing has produced an indefinite shift to remote teaching. This shift poses unaddressed challenges in delivering classes and providing feedback remotely for physical activities such as performing arts or rehabilitation. Digital technologies can facilitate or enhance learning but little is known about remote motor skills teaching, hence there is an urgent need to identify the best practices for remote teaching of physical and artistic disciplines. The lessons learnt in this project will be transferable to any motor skills teaching, such as rehabilitative exercise or practical skills. We will build on (a) Queen Mary University of London facilities and expertise including an online teaching platform, experts in psychology, dance medicine, physiotherapy, cognition and learning, artificial intelligence and multimedial signal processing, and (b) a collaboration with established dance partners (e.g. English National Ballet school, Laban Conservatory, FloorBarreTM) and Barts Health NHS Trust. We will validate the efficacy of different remote teaching methods and tools on physical and artistic training including artificial intelligence augmented feedback. By focusing on remote training for dance we will not only shed light not on a specific popular discipline but on the remote training of a broad range of traits that include physical skills (from flexibility, muscular endurance and power, joint range of motion), psychological state (mental health, concentration, motivation and their relation to this pandemic), artistic development (presence, rhythm, creativity). Human expert assessment will provide immediate results useful to plan teaching, training data for machine learning for behavioural tracking for personalised feedback. Project outcomes include best practice identification and new tools to mitigate social distancing effects on physical, psychological, artistic, and cognitive outcomes. This will be applicable to performing artists, patients with injury, and ultimately the general public.

Publicationslinked via Europe PMC

Neuromuscular joint function in knee osteoarthritis: A systematic review and meta-analysis.

The impact of instrumented gait analysis on decision-making in the interprofessional management of cerebral palsy: A scoping review.

Usability Testing of a Digital Assessment Routing Tool for Musculoskeletal Disorders: Iterative, Convergent Mixed Methods Study.

Local neuromuscular characteristics associated with patellofemoral pain: A systematic review and meta-analysis.

Clinicians' experience of the diagnosis and management of patellofemoral pain: A qualitative exploration.

Validation of a Musculoskeletal Digital Assessment Routing Tool: Protocol for a Pilot Randomized Crossover Noninferiority Trial.

Whole-body vibration decreases delayed onset muscle soreness following eccentric exercise in elite hockey players: a randomised controlled trial.

Embedding supervised exercise training for men on androgen deprivation therapy into standard prostate cancer care: a feasibility and acceptability study (the STAMINA trial).

Are Landing Patterns in Jumping Athletes Associated with Patellar Tendinopathy? A Systematic Review with Evidence Gap Map and Meta-analysis.