Physical Space Illumination State Control Without Complex Interfaces
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Solution Overview
Problem
Existing techniques for illuminating a physical space using electronic devices are cumbersome and inefficient, often requiring complex user interfaces and multiple key presses, wasting user time and device energy, particularly in battery-operated devices.
Innovation Solution
Implementing faster and more efficient methods and interfaces for illuminating a physical space by detecting user requests to save illumination states, storing these states, and providing indications of saved settings, while also allowing for context-based illumination adjustments and time-dependent lighting changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing illumination control methods are used, then the lighting can be adjusted, but the user interface is complex and requires multiple key presses
Solution Approach 1:
The system automatically detects ambient light conditions and applies appropriate illumination settings without requiring user interaction. The device serves itself by monitoring environmental factors and autonomously adjusting lighting parameters, eliminating the need for complex user interfaces and multiple key presses.
Solution Approach 2:
The system continuously monitors ambient light levels and automatically adjusts illumination settings based on detected environmental conditions. This feedback mechanism allows the device to adapt to changing lighting scenarios without user input, simplifying the interaction model while maintaining effective illumination control.
2Productivity
If existing illumination control methods are used, then lighting adjustments can be made, but it wastes user time and device energy
Solution Approach 1:
The system pre-configures illumination settings based on detected ambient light conditions and common usage scenarios. By having illumination states ready in advance and automatically selecting appropriate presets, the system eliminates the time users would otherwise spend manually adjusting multiple parameters, while also reducing the energy consumed during adjustment operations.
Solution Approach 2:
The device autonomously manages illumination control without requiring user time or manual intervention. By automatically detecting environmental conditions and applying appropriate lighting settings, the system recovers user time and reduces the energy overhead associated with manual control operations.
3Ease of operation
If existing illumination control methods are used, then lighting can be adjusted, but it consumes excessive device energy
Solution Approach 1:
The system employs periodic sampling of ambient light conditions rather than continuous monitoring, adjusting illumination settings at appropriate intervals. This periodic approach maintains effective lighting control while significantly reducing the energy consumption associated with constant sensor operation and processing, compared to continuous adjustment methods.
4Loss of time
If simple illumination control is implemented, then user time and energy are conserved, but the system cannot save or recall illumination states
Solution Approach 1:
The system pre-saves illumination states based on detected ambient conditions and usage patterns, making previously successful lighting configurations immediately available for recall. This preliminary storage of illumination states allows the system to quickly restore preferred settings without requiring users to manually re-adjust parameters, conserving user time while enhancing adaptability through state persistence.
Data Source
AI summary
The present disclosure generally relates to illuminating a physical space, such as duplicating lighting conditions of an external environment, simulating light conditions, and/or storing one or more characteristics of lighting conditions.