Paper · arXiv
On the Identifiability of User Adaptation in Co-Adaptive Neural Interfaces
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.
| Authors | Philip Waggoner |
|---|---|
| Primary category | cs.AI |
| Published | 24 April 2026 |
| Last updated at source | 24 April 2026 |
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