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This publication reveals a framework for human-machine interaction that incorporates semantic interpretation and accountability, suggesting advances in interoperability and security.
This record provides a structural disclosure of a unified control coordinate framework that defines control by semantic meaning rather than by physical implementation. The disclosure intentionally omits implementation details, algorithms, training methods, and parameter values. The objective is to establish a domain-independent structural reference that remains valid regardless of technological evolution. The figures included describe the conceptual separation of input abstraction, semantic interpretation, action transformation, temporal decoupling, multi-actor semantic composition, governance layers (control authority, security, accountability, standardization), and interoperability interfaces. This publication is intended as a timestamped reference and prior art disclosure. Any future implementations, optimizations, or applications may be independently developed without altering the structural scope defined herein. License and Usage Notice This work is licensed under the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY-NC-ND 4.0). You are free to share and redistribute this material in any medium or format under the following conditions:- Attribution: Proper credit must be given to the author.- NonCommercial: This material may not be used for commercial purposes.- NoDerivatives: This material may not be modified, adapted, or used to create derivative works.
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JEONGCHOON LEE (2025) studied this question.
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