Toward Symbiotic Intelligence: Semantic Communication Meets Human Digital Twins

As human-centric services continue to flourish in the 6G era, enabling seamless interaction between humans and digital systems requires more than traditional communication paradigms. Semantic communication (SemCom) has thus emerged as a critical enabler for the Human Digital Twin (HDT)—a virtual representation of individuals that reflects their cognitive, behavioral, and physiological states. By prioritizing the transmission of meaning rather than raw data, SemCom significantly enhances the efficiency and contextual relevance of HDT interactions. This presentation introduces several SemCom-driven HDT frameworks that integrate semantic encoding, representation alignment, and knowledge-grounded compression to enable personalized and context-aware communication. We detail the architectural integration of SemCom into HDT systems and emphasize core enabling technologies such as semantic integrity and privacy protection, semantics-aware transmission optimization, context-grounded semantic inference, cognitive-aware personalization, and generative intelligence integration. Through case studies, we demonstrate how SemCom empowers HDT to support adaptive, efficient, and meaningful services, particularly in domains such as healthcare and cognitive monitoring. Finally, we outline future research challenges and highlight the central role of SemCom in unlocking the full potential of HDT within intelligent human-centric <a href="http://systems.

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Speaker(s): Jun Cai,

Virtual: https://events.vtools.ieee.org/m/507886