DEMO
Saif Ur Rahman, Anton Dmitriev, Edward Wolski, Jonathan Kim, Elahe Soltanaghai
Wireless signals shape everyday experiences in indoor spaces, yet their behavior remains largely invisible and difficult to interpret. Existing wireless visualizations, like signal strength, or coverage, explain what happens when the signal arrives at the receiver, but not how the signal interacts with the environment to produce that outcome. This demo showcases WiViz, an immersive visualization framework that makes wireless propagation more legible by embedding its spatial, temporal, and power structure in an interpretable XR representation. WiViz transforms dense wireless simulation outputs into animated particles that reveal path geometry, attenuation, and propagation timing. As signals move through the environment, users can observe how wireless paths interact with walls, furniture, and other objects, how reflections and blockage affect connectivity, and how multiple paths shape the final receiver-level outcome. By exposing these hidden mechanisms in a realistic scene, WiViz lets users with no prior knowledge of wave physics reason about complex wireless behavior. Our results show that compared to signal-strength based approaches, WiViz improves a user’s ability to make proper wireless decisions by 22%, and correctly understand the cause of wireless behavior by 56%. Our study also includes a formative AR deployment that suggests WiViz has potential for real world wireless diagnosis. In this demo, participants will complete a series of VR-based tasks using WiViz to diagnose or fix causes of poor WiFi connectivity.