Digital Device Display Settings Adjustment for Vision Parameters
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Solution Overview
Problem
Existing digital device technologies fail to provide a holistic and real-time improved viewing experience for users with unique vision needs, as they are limited to magnification adjustments based on distance and do not account for various vision parameters such as light intensity, glare, and color, leading to poor readability and viewing difficulties.
Innovation Solution
A system comprising sensors, a processor, and a display that captures sensor parameters to determine vision parameters, derive a base viewability index, create a user profile, and dynamically adjust display settings based on a comparison between the base and dynamic viewability indices to enhance the viewing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnification and display settings are adjusted based on distance only, then font size is increased, but other vision parameters such as light intensity, glare, and color are not accounted for resulting in poor readability
Solution Approach 1:
The system integrates multiple sensors (light sensor, proximity sensor, gyroscope, accelerometer, camera) into a single digital device that performs multiple functions: detecting ambient light intensity, viewing distance, device orientation, and user facial features. This multi-functional approach allows comprehensive vision parameter detection without requiring separate dedicated devices for each parameter.
Solution Approach 2:
The system introduces a processor as an intermediary that receives raw sensor data, processes it to determine vision parameters, and generates adjusted display settings. This intermediary component coordinates the complex interactions between multiple sensors and the display system, managing the overall vision enhancement process.
2Ease of operation
If lenses are used to correct vision, then reading ability is improved, but additional assets need to be carried and worn continuously
Solution Approach 1:
The digital device performs vision correction functions autonomously by using its built-in sensors to detect viewing conditions and automatically adjusting display parameters. The system serves the user's vision needs without requiring external lenses or accessories, making the device self-sufficient for vision enhancement.
Solution Approach 2:
The system combines vision correction functionality with the existing digital device, merging multiple functions (display, sensing, processing) into a single integrated unit. This eliminates the need for separate vision correction accessories like lenses, as the device itself provides both display and vision enhancement capabilities.
3Adaptability or versatility
If display settings are adjusted statically, then initial viewing comfort is achieved, but real-time environmental changes and user movements are not accommodated
Solution Approach 1:
The system dynamically adjusts display settings in real-time based on continuous sensor input. As the user moves or environmental conditions change, the sensors detect these changes and the processor continuously updates display parameters such as brightness, contrast, and font size, making the system adaptive rather than static.
Solution Approach 2:
The system implements a feedback loop where sensors continuously monitor viewing conditions and user position, the processor analyzes this data to determine optimal display settings, and the display applies these settings. This closed-loop feedback mechanism ensures real-time adaptation to changing conditions while maintaining efficient processing through optimized algorithms.
Data Source
AI summary
This disclosure relates to system and method for improving viewing experience of a user on a digital device. In one embodiment, a method is provided for improving viewing experience of a user on a digital device. The method, at a first instance, comprises determining a plurality of first vision parameters for two or more viewing positions based on a plurality of first sensor parameters and a plurality of viewing experiences of the user for the two or more viewing positions, deriving a base viewability index based on the plurality of first vision parameters for the two or more viewing positions, and creating a user profile comprising the base viewability index of the user. The method, at a subsequent instance, further comprises determining a plurality of subsequent vision parameters for a current viewing position based on a plurality of subsequent sensor parameters for the current viewing position and attributes of a digital content, deriving a dynamic viewability index based on the plurality of subsequent vision parameters for the current viewing position, and dynamically adjusting display settings based on a comparison between the dynamic viewability index and the base viewability index, and presenting the digital content to the user based on the adjusted display settings.