Draw to shade: A personalized daylighting regulation method through user-involved paintings for enhanced indoor visual comfort and aesthetics experience

The natural lighting plays a pivotal role in people's physical and mental well-being when people stay indoors for a long time. However, due to construction, appearance and attributes differences of built buildings, and various occupants' aesthetic preference, shading design fail to provide adaptive personalized scheme for visual comfort improvement and occupant aesthetics experience. Inspired by the concept of “draw to shade”, this study proposes a user-involved method to generate paintings with opaque and transparent blocks to regulate daylighting indoors by combining multi-objective daylight simulation and occupant-interactive AI creation platform. As a result, the method reduces the daylight glare probability (DGP) with an efficiency of 8.30%–64.2%, while controlling hourly Useful Daylight Illuminance (hUDI) within an acceptable range. We also demonstrate a fabrication via concept of fluid fibers to explore the application space of the method. Overall, the study can inspire more research on daylight regulation, while taking into account performance, aesthetics and application, to enable people improve visual comfort at individual aesthetic will in different spaces. •A novel method was developed to use AI-generated painting as dynamic shading.•The method considers both daylight performance and user-centric aesthetics.•The shading can dynamically response to changing outdoor weather.•Simulation shows the shading picture reduced glare and maintained illumination.•A mock-up test was conducted to realize the shading picture via fluid fiber system.