Dynamic Light Scene Rendering via Automatic Setting Inference
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Solution Overview
Problem
Users face inconvenience in configuring preferences for dynamic light scenes, especially when they start automatically with entertainment content, as they need to navigate through cumbersome app settings to adjust dynamics, which diverts their attention from the experience.
Innovation Solution
An electronic device with a processor that identifies dynamic light scenes and determines target settings based on current, previous, and planned light settings, allowing for automatic adjustment and rendering without requiring user configuration, thereby simplifying the process and enhancing the user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually configure preferences for dynamic light scenes through app settings, then the light scene rendering can be customized to user preferences, but the operation becomes cumbersome and diverts user attention from the entertainment experience
Solution Approach 1:
The system automatically determines target light settings by analyzing current, previous, and planned light settings without requiring user intervention. The processor infers user preferences from the light setting data and autonomously configures the dynamic light scene parameters, allowing the system to serve itself rather than requiring manual user configuration.
Solution Approach 2:
The system utilizes feedback from multiple light setting states (current, previous, and planned) to dynamically adjust and determine target settings. By continuously monitoring and analyzing these feedback signals from the lighting system, the processor can infer user preferences and automatically optimize the dynamic light scene configuration without manual intervention.
2Productivity
If dynamic light scenes start automatically with entertainment content, then the user experience is enhanced by immediate immersion, but the user cannot adjust preferences before the scene starts
Solution Approach 1:
The system performs preliminary analysis of light setting data (current, previous, and planned settings) before the dynamic light scene starts. By pre-determining the target settings based on this preliminary action, the system is able to automatically configure the optimal light scene configuration in advance, ready for immediate activation without requiring user intervention during the start-up moment.
Solution Approach 2:
The processor autonomously determines target light settings by analyzing available light setting data and inferring user preferences, allowing the system to self-configure before automatic activation. This self-service capability enables the system to be both immediately activatable and adaptable to user preferences without requiring manual configuration.
3Measurement precision
If the system analyzes current, previous, and planned light settings to determine target settings, then automatic configuration accuracy is improved, but the processing complexity increases
Solution Approach 1:
The processor performs multiple functions using the same light setting data analysis mechanism: it identifies user preferences, determines target light settings, and adapts dynamic scene parameters. By making the processing system universal and multi-functional, the patent handles the complexity of analyzing multiple light setting states without requiring separate dedicated systems for each function, thus managing processing complexity while maintaining high accuracy.
Data Source
AI summary
An electronic device is configured to identify a dynamic light scene (81) to be rendered, determine one or more current, previous and/or planned light settings (91, 92) for one or more lights (22, 23), determine a target dynamic light scene (83) based on said identified dynamic light scene and said one or more light settings, and render said target dynamic light scene on at least one light (22, 23).