Industry 5.0 aims to enhance the strengths of the current Industry 4.0 paradigm and broaden its scope by emphasizing the human operators within the working environment through harmonious interactions with machines and other human collaborators. One of the three pillars of Industry 5.0 is the redefined role that human operators would assume within rapidly evolving production systems due to significant technological improvements descending from the I4.0 paradigm. This new role is becoming a major organizational and technological challenge to ensure maximum productivity while preserving the health and well-being of the operator. In this context, the primary objective of this study was to investigate the impact of various human-machine team configurations on process performance and worker well-being. To achieve this, a collaborative workstation was designed and implemented to simulate different configurations of collaborative scenarios, each involving distinct roles for humans and machines. Preliminary findings indicate that key factors such as experience and attitude toward technology necessitate different collaborative setups. Specifically, experienced operators prefer supervisory roles within the team, with the machine primarily used for final inspections. In contrast, less experienced operators tend to rely more on the machine’s decisions, adopting a more apprentice-like role.