DC: Reinforcement Learning for Context-aware and Adaptive Lighting Design using Extended Reality: Impacts on Human Emotions and Behaviors

In the interconnected world of smart built environments, Extended Reality (XR) emerges as a transformative technology that can enhance user experiences through personalized lighting systems. The integration of XR with deep reinforcement learning for adaptive lighting design (ALD) has potential to op...

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Bibliographic Details
Published in:2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) pp. 1150 - 1151
Main Author: Mohammadrezaei, Elham
Format: Conference Proceeding
Language:English
Published: IEEE 16.03.2024
Subjects:
Adaptive Lighting Design
Context-Aware Lighting Design-Deep Reinforcement Learning Algorithms-Extended Reality-Smart Built Environment
Extended reality
Focusing
Heuristic algorithms
Human-Computer Interaction
Lighting
Three-dimensional displays
User interfaces
Visualization
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Summary:In the interconnected world of smart built environments, Extended Reality (XR) emerges as a transformative technology that can enhance user experiences through personalized lighting systems. The integration of XR with deep reinforcement learning for adaptive lighting design (ALD) has potential to optimize visual experiences while addressing real-time data analysis, XR system complexities, and integration challenges with building automation systems. The research centers on developing an XR-based ALD system that dynamically responds to user preferences, thereby positively impacting human emotions, behaviors, and overall well-being.
DOI:10.1109/VRW62533.2024.00369