Lighting Setting Recommendation System Using User Experience Weighting
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Solution Overview
Problem
Modern LED-based lighting systems offer multiple settings, making it complex for inexperienced users to determine suitable lighting configurations, as default settings are not universally applicable and may limit options.
Innovation Solution
A method for managing and recommending lighting settings by creating a database that associates user experience levels with lighting settings, using contextual data to rank relevance and reconstructability, allowing users to access and implement settings from other users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple lighting settings are provided to increase flexibility, then lighting options and adaptability are improved, but user complexity and difficulty in determining appropriate settings increase
Solution Approach 1:
The patent introduces an intermediary system (processor and database) that mediates between the user and the complex lighting settings. The system automatically retrieves contextual information, analyzes compatibility, and presents pre-configured lighting settings that match the user's situation, eliminating the need for users to manually navigate complex settings while preserving full adaptability
Solution Approach 2:
The system performs preliminary actions by pre-configuring lighting settings with associated contextual information and compatibility data before user interaction. Contextual information such as location, time, and activity type is retrieved and processed in advance, so when a user requests lighting settings, compatible options are already prepared and presented, reducing user complexity while maintaining versatility
2Ease of operation
If default settings are provided to simplify operation, then ease of operation is improved, but adaptability and universal applicability deteriorate
Solution Approach 1:
The patent transforms static default settings into dynamic, context-aware recommendations. The system continuously adapts lighting settings based on real-time contextual information (location, time, activity) and user feedback, allowing the same system to provide simplified operation for beginners while offering customized, highly adaptable settings for experienced users. This dynamic adaptation resolves the contradiction between ease of operation and universal applicability
3Measurement precision
If user experience levels are used to weight lighting settings, then recommendation accuracy is improved, but system complexity increases
Solution Approach 1:
The patent changes the parameter of setting recommendation from binary (compatible/incompatible) to weighted scoring based on multiple parameters including user experience level, contextual match quality, and setting popularity. The processor calculates composite scores that rank settings by recommended accuracy, with more experienced users receiving higher-weighted recommendations. This parameter transformation improves recommendation precision while the automated calculation process manages the inherent complexity
Data Source
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AI summary
Disclosed are methods and apparatus for storing, suggesting, and/or utilizing lighting settings. A database of relevant lighting settings for recommendation to lighting users may be managed and at least some of the relevant lighting settings may each be associated with a weighting corresponding to an experience level of a user that created the lighting setting. Relevant lighting settings for a lighting system may also be identified and a creator experience level, lighting systems contextual data, and/or reconstructability of the lighting settings may be used in identifying and/or sorting the relevant lighting settings.