Virtual Scenario

Virtual scenarios, encompassing simulated environments created using VR, digital twins, and generative AI, are increasingly used to study human-computer interaction and system performance in various contexts, from autonomous driving to air taxi design. Research focuses on validating the realism of these simulations by comparing participant behavior in virtual and real-world settings, often employing deep learning models for image analysis and large language models for scenario generation and user experience evaluation. This approach offers a cost-effective and safe method for testing complex systems and gathering user feedback, impacting fields like transportation safety, infrastructure inspection, and human-robot interaction.