Human-Machine Interaction Design in Adaptive Automation

Advances in adaptive automation are reshaping the relationship between humans and machines in manufacturing, emphasizing human safety and active involvement in production processes. The research background is in the Advanced Manufacturing Technology (AMT) domain, and in particular, in a Case-based analysis, collecting the best of class HMIs design cases on the market. Such analysis showed a gap between the potentials of adaptive automation interaction design research and industry application needs. This literature review explores adaptive automation technologies that dynamically allocate tasks between humans and machines based on real-time conditions and performance. By focusing on collaborative technologies such as Co-bots, this review highlights innovative approaches and practical applications that enhance human-machine co-evolution, improve situational awareness, and maintain cognitive and ergonomic standards. The study describes two main results: describes main research themes with the goal of defining the future research questions to be investigated in novel phases of the research and, by following this approach, proposes a framework for integrating adaptive solutions in manufacturing to promote human-machine collaboration and performance adaptability.