Conceptual Design of Virtual Avatars Based on Intelligent Human-Machine Interface in Autonomous Driving

This study explores the conceptual design of virtual avatars in autonomous driving and their trigger mechanisms in the context of the Intelligent Human-Machine Interface (HMI). Through the intelligent system's perception of the situation, virtual avatars can be dynamically triggered based on vehicle status, environmental information, and driver behavior, enabling precise information delivery and real-time feedback. The research indicates that users have high expectations for virtual avatars in terms of safety notifications, emotional expression, and personalized design. This study provides a reference for the design of virtual avatars in future autonomous driving systems and proposes prospects for further adaptive optimization.