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Abstract
The advancement of Industry 4.0 is revolutionizing the manufacturing landscape. Interaction between human operators and CPS (Cyber-Physical Systems) has reached a point where cognitive collaboration is in higher demand than physical collaboration. Implementing CPSS (Cyber-Physical-Social Systems), particularly concerning human-AI interaction, can improve manufacturing productivity and efficiency. However, challenges in the manufacturing workforce nowadays point to the development of CPS lacking human consideration. Neglecting fundamental inquiries in team interaction may lead to technology implementation failures and counterproductive human behaviors, with pressing issues such as human stress, anxiety, and trust issues emerging. Actions need to be taken to construct a framework where the cyber, physical, and social components can advance at the same rate, meaning CPS should be implemented while simultaneously prioritizing human well-being. This dissertation proposes a framework for constructing a universal CPSS in a manufacturing context, where we first explore the impact of perceived AI-guided interventions on human operators' behavioral changes and decision-making processes. The AI-guided interventions are referred to as "nudges." Then, the research investigates the impact of different modalities of "nudges." Lastly, we study other factors in the manufacturing environment that can alter human operators’ decision-making for positive manufacturing performance. This research contributes to optimizing the role of humans in relation to CPS support, team interaction, and human cognition. Realizing a collaborative socio-technical partnership between human operators and AI agents in CPS necessitates a comprehensive understanding of their communication and teamwork dynamics. This work promotes the synergy of human operators with CPS to facilitate informed decision-making and foster intelligent collaboration for manufacturing optimization.