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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
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A multi-dimensional framework for prosthetic embodiment: a perspective for translational research.

Jan Zbinden1,2, Eva Lendaro2,3, Max Ortiz-Catalan4,5,6,7

  • 1Center for Bionics and Pain Research, Mölndal, Sweden.

Journal of Neuroengineering and Rehabilitation
|November 11, 2022
PubMed
Summary

Prosthetic embodiment, crucial for acceptance, requires a clear definition. A new framework views embodiment as a spectrum based on environmental interaction, enabling better assessment of sensory feedback and control strategies.

Keywords:
AgencyBody representationEmbodimentOwnershipPhenomenologyProsthetics

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Science
  • Human-Computer Interaction

Background:

  • Embodiment is popular in prosthetics, linked to sensory feedback and control.
  • Current definitions lack consensus, hindering experimental use and prosthesis acceptance.
  • Previous work defined embodiment as ownership and agency for quantification.

Purpose of the Study:

  • To review mechanisms of ownership and agency in prosthetic embodiment.
  • To propose a multi-dimensional framework for prosthetic embodiment.
  • To provide a common perspective for experimental paradigms in prosthetics.

Main Methods:

  • Review of existing literature on prosthetic embodiment definitions and mechanisms.
  • Analysis of temporal, spatial, and anatomical constraints on ownership and agency.
  • Development of a spectrum-based framework integrating volition and multi-sensory information.

Main Results:

  • Ownership and agency are key components of prosthetic embodiment.
  • A spectrum framework is proposed, dependent on environmental interaction.
  • The framework integrates volition and multi-sensory information.

Conclusions:

  • Prosthetic embodiment is best understood as a spectrum, not a binary state.
  • Assessment of embodiment should occur in ecologically valid, daily-life environments.
  • The proposed framework aids in comparing different sensory feedback and control strategies.