SC Lab.

  Excessive physical demands of construction tasks and poor work conditions at construction sites raise the potential risk of workers’ physical and mental health. This study investigates how workers’ physiological sensory data acquired from the wearable devices can be used to understand workers’ physical and mental status (e.g., physical demands and mental stress). Also, the sensory data are incorporated into the BIM-oriented environment to visualize project information as well as to support decision making to improve workers’ safety and health.

  Due to the complexity and dynamicity of construction projects, construction projects are very difficult to standardize. In this regard, humans will still have a central role in the construction project even if advanced technologies or management practices are adopted. As such, this study aims to understand how humans in construction perceive, interact with, make decisions, and behave in the construction projects and finding a better way to design, construct, operate, and maintain facilities and infrastructure systems using advanced technologies.

  A smart building refers to “any infrastructure that uses automated processes to automatically control the building’s operations including heating, ventilation, air conditioning, lighting, and other systems” using sensors and diverse building automation technologies. This study aims to develop a personalized smart building system that considers each occupants’ real comforts by combining their physiological sensory data with the building environmental conditions.

  Integrating computer simulation methods (e.g., Agent-Based Modeling (ABM), Discrete Event Simulation (DES), and System Dynamics (SD)) enable us to create a synergy to understand complex phenomena in the construction project and to support effective decision making.