BIM in People2People and Things2People Interactive Process

Area of Science:

• Environmental Science
• Computer Science
• Human-Computer Interaction

Background:

• Real-time environmental monitoring is crucial for resource management in shared spaces.
• Existing systems often lack effective user engagement for behavior change.
• Integrating sensor data with user perception can foster sustainability.

Purpose of the Study:

• To develop an IoT solution for real-time environmental variable monitoring.
• To create a novel 3D visualization tool for interactive data representation.
• To promote behavior changes for resource savings in shared public buildings.

Main Methods:

• Utilized LoRa transmission technology for data collection.
• Developed a 3D visualization tool displaying sensor data, warnings, and user perceptions.
• Implemented a Things2People and People2People interaction model.
• Validated the system on a university campus using mobile devices.

Main Results:

• The IoT system provided real-time environmental data.
• The 3D visualization tool enhanced user environmental perception.
• The approach influenced user behavior towards sustainability goals.
• Demonstrated potential for resource savings in shared spaces.

Conclusions:

• IoT solutions combined with interactive 3D visualization can effectively influence user behavior.
• This approach fosters environmental awareness and promotes resource conservation in public buildings.
• The People2People interaction model is key to achieving collective sustainability goals.