Demonstrates improved grasp-selection accuracy in individuals with prosthetics, suggesting a new VR calibration method.
How can virtual studies of augmented body parts translate into wearable robotic augmentation with predictable embodiment outcomes? We propose Embodiment Envelopes: user-centered feasible action sets that bound how far shared autonomy may deviate from the user’s inferred intent. The boundary is expressed as an agency budget, τ , applied to a logged Agency Loss Index (ALI). This creates a portable control contract that can be swept in VR, related to ownership, agency, workload, and performance, and then deployed unchanged in a prosthetic or wearable robot. Using an offline NinaPro DB10 benchmark with able-bodied and transradial amputee participants, we show that envelope-constrained arbitration can improve grasp-selection accuracy while keeping ALI low. The paper reframes autonomy level as an auditable human-factors design variable and provides a VR-to-wearable calibration blueprint, reporting schema, and transfer checklist for reproducible augmented-body-part research.
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Nodooshan et al. (2026) studied this question.
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