Next-Gen IoT: Human digital twins and large language models for proactive user engagement

In the rapidly evolving landscape of the Internet of Things (IoT), the integration of Human Digital Twins (HDTs) and advanced computational frameworks, such as Large Language Models (LLMs), marks a step towards creating more proactive and user-centric systems. This work explores the development of next-generation IoT solutions that leverage these technologies to enhance user engagement while minimising the need for explicit user intervention. By accurately mirroring user behaviours and preferences, HDTs enable systems to predict needs effectively and automate responses, fostering a more intuitive interaction environment. Our study highlights the potential of these integrated technologies necessary to streamline user experiences and substantially extend IoT systems’ capabilities in understanding and reacting to human contexts through verbal language. This strategy lays the foundation for the next generation of IoT systems, characterised by proactive interactions and enhanced digital assistance, finalised to more personalised and efficient user experiences in the connected world.