Before revision:  perform physically-based daylighting simulations powered by the Radianceengine (2) study sunlight penetration in different hours of the year by navigating through time (3) Interact with a 9-point-in-time matrix for the nine most representative times of the year  (4) Visualize, compare and analyze daylighting simulation results using integrated tools in virtual reality. By conducting user experiments and comparing the system with a conventional 2D-display daylight analysis tool , Diva4Rhino, the results show that RadVR outperforms Diva4Rhino in spatial understanding tasks, navigation  and sun position analysis  .
After revision:  perform physically-based daylighting simulations powered by the Radianceengine (2) study sunlight penetration in different hours of the year by navigating through time (3) Interact with a 9-point-in-time matrix for the nine most representative times of the year (4) Visualize, compare and analyze daylighting simulation results . With an end-to-end workflow, RadVR integrates with 3D modeling software that is commonly used by building designers. Additionally, by conducting user experiments and comparing the system with a conventional 2D-display daylight analysis tool , Diva4Rhino, the results show that RadVR outperforms Diva4Rhino in spatial understanding tasks, navigation and sun position analysis .