Multi-user interaction is a key feature in Human-centered Intelligent Realities (HC-IRs). Such distributed Human-centric IRs are an evolved version of Extended Reality (XR) applications aiming at very individual and deep levels of immersiveness in a virtual environment, paired with smart decision-making.

HC-IRs use a variety of novel concepts such as spatial computing, Machine Learning/ Deep Learning (ML/DL), or the latest Human-Computer Interaction (HCI) techniques. A challenge in multi-user HC-IRs is to maximize and synchronize the immersiveness across multiple users and probably multiple networking technologies. As more computational effort is needed in multi-user HC-IRs, this challenge, compared with those in single-user or single-network XR applications, is harder to address but also appealingly powerful due to the available networking-computing continuum, e.g., in advanced 5G and future 6G networks. This paper works towards a framework for adaptive multi-user synchronization in distributed HC-IRs, in which different users are interconnected through advanced networks, e.g., using SDN technologies. The framework is based on identifying the user and network control loops within such HC-IRs.