LINK: Self-Adaptive System with Human-Machine Teaming-based Loop for Interoperability in IoT Environments

Nowadays, automated systems have permeated various industries, optimizing processes and transitioning traditional analog methodologies into efficient digital paradigms. However, prior research in automation predominantly focused on enhancing machine performance in isolation through rigorous analysis and strategic formulation. In this study, we introduced a self-adaptive system designed to foster collaborative interoperability between humans and machines within IoT environments. The system placed a strong emphasis on seamless information exchange, transparency, and feedback between these two entities, achieved through the implementation of rule-based systems informed by strategy feedback. The adaptability and collaborative potential of the system are demonstrated through a series of scenarios in home IoT contexts.