This research introduces a novel framework that leverages Large Language Models to create adaptive IoT systems that evolve with user needs and changing environments.

• Implements Mixed-Initiative Interaction (MII) where humans and AI collaboratively solve problems in IoT environments
• Addresses the challenge of under-specified user needs by allowing exploration of possibilities
• Enables dynamic generation of IoT systems that adapt to evolving contexts
• Creates personalized experiences while maintaining security and engineering constraints

For engineering teams, this research provides a blueprint for designing more intuitive and responsive IoT architectures that can anticipate user needs while handling technical complexities behind the scenes.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction