- tributed cloud-based immersive experience where intensive computations occur on very powerful servers that are in the cloud/network edge while sharing the sensor data that are being delivered by end-user devices at the client side. Leveraging short-range communication such as D2D and edge proximity services among co-located AR/VR users can help alleviate network congestion. The idea is to extract, appropriately combine and share relevant contextual information among AR/VR users in terms of views and camera feeds. In the context of self- driving vehicles equipped with ultra-high-definition (UHD) cameras capturing their surrounding area, the task for the vehi- cle is not only to recognize objects/faces in real time, but also to decide which of the objects should be included in the map and to share the information with neighboring vehi- cles for richer and more context-aware maps. The introduction of UHD cameras (e.g., 8K cameras with 360-degree panoramic video recorders) has enriched new video and media experiences. User interaction with media con- tent currently falls at two extreme ends of the spectrum. On the one hand, there are lean- back experiences such as movies and television where consumers are passive and are led through a story by content authors/producers. On the other hand, there are lean-forward experiences in the form of games in which the user is highly engaged and drives the action through an environment created by content authors/producers. The next generation of inter- active media where the narrative can be driven by authors/producers will be personalized dynamically to the situation and preferences of end users. The use of context-aware communication has already been promoted as a means of optimiz- ing complex networks. In order to improve user's connected and immersive experience, the users' personal habits, emotions, and other behavioral and psychological aspects must be factored in their service delivery and optimization. This involves predicting users' dis- engagement and preventing it by