Eye-Tracking Driven Personalized 360° Panorama Content Generation

Personalized 360° content generation faces significant challenges due to the lack of adaptation to user preferences during interaction. Traditional methods often rely on static content or post-session analysis, which limits dynamic engagement. In this paper, we propose a novel approach (i.e., DynamicEye360) that integrates eyetracking with dynamic content generation to create personalized 360° experiences. By analyzing gaze trajectories and user preferences, our approach adjusts content based on the user’s visual focus, leading to a more immersive and engaging experience. Experimental results show that our approach significantly enhances content relevance and user engagement compared to existing methods, demonstrating the potential of gaze-driven personalized content in virtual environments.