Industrial systems are moving towards Industry 5.0, where digital technologies are expected to enhance rather than replace human capabilities. This puts human well-being, resilience, and sustainability at the centre of industrial processes. In sectors such as railways, construction, and mining, as well as other similar industrial sectors that rely on complex technical systems, achieving this vision in maintenance requires a strong Human-System Interaction (HSI) foundation. Despite the increasing integration of immersive and intelligent technologies in maintenance, many solutions remain system-centred and treat humans as peripheral users rather than as an integral part of the system. As a result, digital maintenance support is often insufficiently aligned with real maintenance workflows, operational constraints, and decision-making conditions. Existing research and industrial solutions frequently address HSI as a secondary usability concern, rather than as a primary design driver grounded in how maintenance activities are actually performed and supported in practice.The purpose of this research is to contribute to the development of a human-centric maintenance in the context of Industry 5.0. This research is framed through the concept of supportability, focusing on how maintenance support is implemented and delivered during operation. The emphasis is on maintenance as performed in practice, where task execution, interaction quality in terms of usability and cognitive support, and HSI are critical.The research is based on a combination of a structured literature review, applied design studies, and empirical investigations. A systematic analysis of immersive technologies in maintenance results in a taxonomy of HSI challenges, highlighting the interconnected nature of usability, cognitive workload, trust, and contextual alignment. Building on these findings, human-centric maintenance support solutions are designed and studied in industrial contexts, including railway inspection, to examine how task-aligned and contextualised maintenance information and interaction influence usability-related interaction aspects and cognitive workload. In addition, empirical investigations of decision-support powered by intelligent technologies examine how interpretability and trust influence user experience (UX) and mental effort.The results provide: (i) a structured understanding of HSI challenges associated with immersive and intelligent technologies in maintenance; (ii) a human-centric maintenance support framework integrating maintenance information, decision-support, and interaction during maintenance activities; and (iii) design-oriented insights into the implications of human-centric maintenance for usability, cognitive workload, and maintenance task execution. Together, these contributions support the alignment of immersive and intelligent maintenance technologies with human work, contributing to the realisation of human-centric maintenance systems in line with Industry 5.0.