Researcher: Elnaz Bailey
Advisor: Luisa Caldas
InsightXR intends to enable multiple users to visualize 3D designs and collaborate on those designs using augmented and virtual reality technology asynchronously. The proposed research in this project focuses on a user’s subjective feedback and preferences, where the qualitative feedback impacts the optimization process through merging with quantitative data. User’s qualitative feedback as well as their physiological response are used in each generation to inform new designs using our proposed interactive genetic algorithm (IGA).
Link to CTO Changemaker Grant page: https://cto.berkeley.edu/innovation/berkeley-changemaker-technology-innovation-grants/insight-xr