Leveraging Artificial Intelligence for Enabling Personalized Activity-Based Workplaces
Publication: Computing in Civil Engineering 2023
ABSTRACT
Thanks to emerging technologies and increased computational power, a new wave of smart buildings is gaining attraction with a specific focus on the personal experience of individual occupants. Real-time monitoring and estimation of human states are key to achieving individual satisfaction. This paper proposes a framework to predict and track the real-time state of each individual and assist with the decision-making of room assignment and environment control. The core idea of the framework is to distinguish individuals by an idea of the personal database named human digital ID (DID). Two case studies are given to demonstrate the adoption of the framework. They show how different indoor well-being such as thermal comfort and work engagement can be incorporated into the framework. The results show improvement in the occupants’ well-being after adopting the framework. The framework is scalable in every aspect and can serve as a fundamental concept for future smart buildings.
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Information & Authors
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Published In
Computing in Civil Engineering 2023
Pages: 141 - 149
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Buildings
- Business management
- Case studies
- Computer programming
- Computing in civil engineering
- Databases
- Decision making
- Energy engineering
- Energy sources (by type)
- Engineering fundamentals
- Human and behavioral factors
- Hydro power
- Information Technology (IT)
- Methodology (by type)
- Personnel management
- Practice and Profession
- Renewable energy
- Research methods (by type)
- Smart buildings
- Structural engineering
- Structures (by type)
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