This work introduces RadVR, a virtual reality daylighiting analysis tools, that simultaneously allows the analysis of qualitative immersive renderings and the assessment of quantitative data of physically correct daylighting simulations in a 6DOF virtual environment. With an end-to-end workflow and integration with commonly used modeling software, the system takes a 3D model and material properties as input and allows user-designers to (1) 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  .
This work introduces RadVR, a virtual reality tool for daylighting analysis that simultaneously combines qualitative assessments through immersive real-time renderings with quantitative physically correct daylighting simulations in a 6DOF virtual environment. By taking a 3D building model with material properties as input , RadVR allows users to (1) perform physically-based daylighting simulations via Radiance, (2) study sunlight in different hours-of-the-year, (3) interact with a 9-point-in-time matrix for the most representative times of the year , and (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 we compare the proposed system with DIVA for Rhino, a Radiance-based tool that uses conventional 2D-displays. The results show that RadVR can provide promising assistance in spatial understanding tasks, navigation , and sun position analysis in virtual reality .
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