ACM CHI Inhabiting Buildings, Data & Technology (HabiTech workshop), 2020.
It is critical for designers and architects to predictively account for how the design for built-environment might support human-building interactions. Many Computer-Aided Design (CAD) and Building Information Modeling (BIM) tools have been developed to evaluate building designs mostly in terms of structure, energy performance, and daylight, providing a static representation of buildings and ignoring the impact that a building produces on its occupants and their movements. Computational techniques (i.e. crowd simulation) have been proposed to account for human activity in virtual environments. However, such simulation techniques require domain expertise and hardware/software infrastructure to be used with environment designs, reducing designers' capabilities to effortlessly simulate, analyze and adopt human-focused dynamics in practice. We bridge this disconnect by proposing a cross-platform web-based solution to human-aware crowd analytics for built-environments as simulation-as-a-service, empowering designers to simulate and analyze building designs w.r.t. human-occupancy.