Re-Envisioning the Human-Built Environment Interface with Artificial Intelligence

Introduction

Research at CIBER Lab tackles fundamental challenges at the intersection of the built environment and human ecosystems. With advancements in sensing and reality capture technologies, larger and more heterogenous datasets are constantly created and used to describe not only the physical elements of the built environment (e.g., buildings, infrastructure, roads and highways, energy grid), but also the interactions and synergistic relationships between the physical world and human users. Artificial intelligence (AI) and its various branches such as machine learning and neural networks can provide significant opportunities to re-envision the role of technology in enhancing user experience, decision-making, and quality of life as measured by metrics such as safety, health and wellbeing, hazard resilience, equity and justice, and communication. This poster presents examples of projects currently undertaken by researchers at CIBER Lab to make this vision a reality.