Floorplan embedding with latent semantics and human behaviour
Data science, in conjunction with architecture and human psychology, is opening new avenues within the field of reformed interior design, where created spaces are aesthetically pleasing yet deeply tuned to the needs and behaviors of their occupants. One such novelty involves floor plan embedding, where the design process integrates latent semantics and human behavior. This is a higher-order computational technique that maps relationships between various spatial elements and how they interact in relation to people interacting with their environment. What is Floorplan Embedding? Floorplan embedding refers to a method of taking the notions of machine learning and data visualization and applying them to the layout of interior space. In other words, it is a way of visualizing the elements of a floor plan-such as rooms, hallways, doors, and windows-as vectors in a multidimensional space. These vectors capture the latent semantics-meaning hidden-of the design, encoding relationships and funct...