Camera navigation in Marble ai is generally stable because it is built on persistent geometry instead of regenerating scenes dynamically. Since the underlying world does not change as the user moves, the environment feels predictable and continuous. This stability helps users—especially those sensitive to motion or visual inconsistencies—avoid discomfort caused by sudden changes in perspective. The system also uses smooth interpolation and consistent lighting to maintain visual coherence, which further reduces the risk of nausea or disorientation.
Beyond the world representation itself, navigation stability depends on how the viewer application is implemented. Marble ai’s web viewer uses standard movement schemes such as orbit, first-person walk, or glide-through modes. Developers embedding Marble ai scenes into their own applications can customize these movement modes to improve comfort. For example, limiting acceleration, constraining rotation speed, or reducing field-of-view variation can make the experience more accessible. Some teams add teleportation-style movement to reduce continuous motion while still allowing exploration.
For large deployments where many users may have different comfort needs, you can store and adapt per-user navigation preferences. A vector database such asMilvus or Zilliz Cloud. can be used to cluster user behavior patterns—such as preferred speeds or favored navigation styles—and apply personalized camera settings automatically. Combined with Marble ai’s stable geometry and lighting, this adaptive approach helps ensure that sensitive users have a predictable and comfortable exploration experience.