Abstract: To obtain a more natural interaction mode in the context of automobile intelligence, this study investigates the AR-HUD interaction design strategy based on the theory of embodied cognition. By analyzing the functional requirements, information needs, and task scenarios of the target users, the interaction mode and information architecture of AR-HUD are designed. A gaze-controlled interaction model for status information, driving information, and communication entertainment is constructed, proposing four eye-control interaction design strategies: intuitive interaction, multi-channel assistance, natural transition, and dynamic feedback.