Natural light adaptive context lighting system that provides a lighting environment tailored to the User's objectives

Area of Science:

• Building Science
• Human-Computer Interaction
• Lighting Technology

Background:

• Modern lifestyles increase indoor time, necessitating optimized indoor lighting for well-being and productivity.
• Existing lighting research often overlooks the dynamic interplay of natural and artificial light indoors.
• Maintaining appropriate color CCT (Correlated Color Temperature) for diverse activities under variable lighting is challenging.

Purpose of the Study:

• To develop a natural light adaptive context lighting system for personalized indoor environments.
• To address the challenge of providing suitable lighting conditions despite uneven natural light.
• To create tailored lighting environments for specific user activities, enhancing efficiency and concentration.

Main Methods:

• Measuring light characteristics from both natural and artificial sources within indoor spaces.
• Controlling blinds to regulate natural light influx based on window illuminance.
• Individually adjusting LED lighting to achieve target Correlated Color Temperature (CCT) for different tasks.

Main Results:

• The system successfully creates distinct lighting environments for general office work, low-intensity, and high-intensity tasks.
• Performance experiments demonstrated the system's ability to maintain target lighting conditions within a 5% error margin.
• The system effectively compensates for the dynamic changes in natural light throughout the day.

Conclusions:

• The proposed system provides a viable solution for adaptive indoor lighting, integrating natural light management.
• Personalized lighting environments can be achieved and maintained, improving user experience and task performance.
• This research contributes to creating more responsive and user-centric indoor lighting solutions.