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Summary

This summary is machine-generated.

Visualizing robotic exoskeleton force perturbations during gait training enhances movement variability without reducing perceived transparency. This approach may improve motor learning and user acceptance in exoskeleton-assisted rehabilitation.

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Area of Science:

Robotics
Biomechanics
Motor Control

Background:

Force perturbations in robotic exoskeletons can boost gait variability for motor learning.
However, these perturbations may decrease perceived exoskeleton transparency, impacting user acceptance.

Purpose of the Study:

To investigate if visualizing leg-level perturbations in virtual reality (VR) can maintain gait variability benefits while improving perceived transparency.
To assess the impact on task performance, motivation, and retention.

Main Methods:

Thirty healthy adults walked on a treadmill with a robotic exoskeleton, performing a pelvis-centered task.
Conditions included: Control, Perturbation (force applied to thighs), and Perturbation + Visual (force visualization).
Gait variability, task performance, motivation, and perceived transparency were measured.

Main Results:

Both perturbation conditions increased step-width variability during training compared to control.
Perceived transparency decreased only in the non-visualized perturbation group.
Task performance and motivation showed no significant differences across conditions.

Conclusions:

Continuous leg-level perturbations effectively increase gait variability.
Visual force cues can mitigate the perceived transparency cost of perturbations.
This visual feedback strategy shows promise for enhancing exoskeleton-assisted gait training.