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Updated: May 26, 2026

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

Agency, gait and self-consciousness.

O A Kannape¹, O Blanke

¹Laboratory of Cognitive Neuroscience, Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology

|January 10, 2012

Summary

Agency research is expanding to include full-body movements like walking. Understanding sensory cues in gait helps differentiate self-motion from external influences, crucial for bodily self-consciousness.

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Last Updated: May 26, 2026

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

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Published on: January 7, 2019

Virtual Hand with Ambiguous Movement between the Self and Other Origin: Sense of Ownership and 'Other-Produced' Agency

Virtual Hand with Ambiguous Movement between the Self and Other Origin: Sense of Ownership and 'Other-Produced' Agency

Published on: October 28, 2020

Area of Science:

Neuroscience
Cognitive Science
Robotics

Background:

Agency, the sense of self-movement, is key to bodily self-consciousness.
Previous research focused on upper limb movements, using sensorimotor control models.
Full-body, automated movements like gait present unique challenges for agency research.

Purpose of the Study:

To review agency mechanisms for full-body movements, specifically gait.
To highlight the impact of visual and auditory cues on gait agency.
To link gait agency to computational models of motor control.

Main Methods:

Review of recent literature on full-body movement agency.
Analysis of spatio-temporal mismatches in movement and sensory feedback.
Integration of gait control, locomotion, and predictive coding models.

Main Results:

Gait agency is influenced by performance-related visual and auditory cues.
Gait's cyclic and largely unconscious nature differs from goal-directed limb movements.
Predictive models are relevant for understanding full-body agency.

Conclusions:

Agency research must consider the distinct characteristics of full-body movements.
Understanding gait agency enhances models of sensorimotor control and self-consciousness.
Future research should integrate predictive mechanisms for a comprehensive view of agency.