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KI

Wenn Maschinen und Menschen sich gemeinsam anpassen: Wer lernt eigentlich wen?

Co-adaptive neuronale Schnittstellen passen sich gegenseitig an. Eine neue Studie zeigt: Was wir als menschliche Anpassung messen, ist oft eine Eigenschaft des Gesamtsystems – mit weitreichenden Konsequenzen.

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Codekiste Redaktion23. Juni 2026

Computer Science > Artificial Intelligence

[Submitted on 24 Apr 2026]

Title: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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