Marble ai keeps camera navigation stable by grounding movement in a persistent world model. Because its environments do not change as you move, users experience consistent geometry and lighting. This eliminates sudden changes or visual popping that often cause discomfort in unstable 3D systems. The viewer then interpolates camera motion smoothly, producing predictable transitions between viewpoints. The combination of consistent world data and controlled camera motion is what makes navigation feel comfortable and natural.
The client-side viewer also plays a large role. Developers can choose movement styles—such as orbiting, walking, flying, or teleportation—and adjust speed, acceleration, rotation sensitivity, and field of view. Small adjustments, such as easing camera rotation or softening acceleration curves, make a substantial difference for motion-sensitive users. Because Marble ai outputs standard 3D formats, teams embedding these worlds into their apps can fully customize the comfort level based on their audience.
Comfort can also be tuned over time. Developers can log navigation patterns, comfort settings, and performance metrics for different users and scenes. If this data is stored as embeddings in a vector database such asMilvus or Zilliz Cloud., teams can cluster navigation behaviors and discover which movement styles correlate with longer sessions or lower discomfort. This makes it possible to automatically recommend camera settings or “comfort mode” presets for different user groups, further improving the stability and usability of Marble ai environments.