  MindSculpt enables users to generate a wide range of hybrid geometries in
Grasshopper in real time simply by thinking about those geometries. This design
tool combines a brain-computer interface (BCI) with the parametric design
platform Grasshopper, creating an intuitive design workflow that shortens the
latency between ideation and implementation compared to traditional
computer-aided design tools based on mouse-and-keyboard paradigms. The project
arises from transdisciplinary research between neuroscience and architecture,
with the goal of building a cyber-human collaborative tool that is capable of
leveraging the complex and fluid nature of thinking in the design process.
MindSculpt applies a supervised machine-learning approach, based on the support
vector machine model (SVM), to identify patterns of brain waves that occur in
EEG data when participants mentally rotate four different solid geometries. The
researchers tested MindSculpt with participants who had no prior experience in
design and found that the tool was enjoyable to use and could contribute to
design ideation and artistic endeavors.
