Enhancing decision-making in Industry 5.0 through adaptive human–machine interfaces: A systematic literature review

In the dynamic landscape of Industry 5.0, adaptive human–machine interface (HMI) plays a pivotal role in shaping decision-making processes. This study constitutes a systematic literature review focusing on adaptive HMI in Industry 5.0, exploring their applications and implications within the decision-making context. The research objectives are structured around key questions, addressing the manifestation of adaptive HMI in the context of Industry 5.0, the evolutionary trajectory of HMI across industrial revolutions, relevant studies on adaptive HMI, the discernible impact of contextual use on HMI adaptation, emerging challenges of the new generation of HMI within Industry 5.0, and the integration of advanced technologies in adaptive HMI. Our findings identify key factors shaping decision-making in adaptive HMI, including acceptance and trust, transparency and reliability, privacy and security, human-centric design, long-term usability effects, accessibility, and decision support capabilities. We also highlight the role of enabling technologies—such as the Internet of Things (IoT), Internet of Humans (IoH), Virtual and Augmented Reality (VR/AR), Artificial Intelligence (AI), the Internet of Everything (IoE), and their synergistic integration in advancing adaptive HMI capabilities. This research provides valuable insights for designing and developing the next generation of adaptive HMI, specifically aimed at enhancing decision-making operators’ productivity and improving the quality of their decisions in smart manufacturing environments within Industry 5.0.