arXiv · 2606.20569
On the Identifiability of User Adaptation in Co-Adaptive Neural Interfaces
Abstract
We analyze identifiability in co-adaptive human-machine systems. We show that closed-loop encoder estimates do not uniquely identify user adaptation, but instead reflect properties of the joint system. We discuss implications for interpreting behavioral adaptation and propose conditions for identification.
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Philip Waggoner. 2026-04-24. On the Identifiability of User Adaptation in Co-Adaptive Neural Interfaces. https://arxiv.org/abs/2606.20569
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