Convergence Concept describes the synthesis of previously distinct technologies, domains, and paradigms into unified systems. In telecollaboration and spatial computing, convergence encompasses XR integration, AI-human collaboration, physical-digital fusion via digital twins, and platform unification over shared protocols such as WebXR and OpenXR. The convergence of edge and cloud computing creates hybrid architectures that optimise latency and scalability for real-time collaborative experiences.

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Convergence Concepts in telecollaboration describe the integration and synthesis of previously distinct technologies, domains, and paradigms into unified collaboration experiences. This phenomenon encompasses XR convergence (merging AR, VR, and MR into seamless mixed reality), AI-human collaboration convergence (blending human and artificial intelligence in hybrid teams), physical-digital convergence (digital twins and IoT integration), and platform convergence (unified communication and collaboration suites). Technological convergence leverages common protocols like WebXR, shared data models like USD, interoperable identity systems, and universal APIs enabling cross-platform functionality. The convergence of edge and cloud computing creates hybrid architectures optimizing latency and scalability. Network convergence unifies voice, video, and data over IP networks with software-defined networking (SDN) and network function virtualization (NFV). Modern implementations demonstrate convergence through multimodal interfaces accepting voice, gesture, gaze, and text input; unified presence spanning devices and platforms; and integrated workflows connecting disparate tools. The ultimate convergence vision includes holographic telepresence combining photorealistic avatars, spatial audio, haptic feedback, and real-time 3D environments creating indistinguishable remote and co-located collaboration experiences.

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