GUI Magnification Management Model for Eye Strain Reduction
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Solution Overview
Problem
Prolonged use of digital displays can lead to vision syndrome issues and eye diseases due to inadequate adjustment of magnification levels, which existing technologies fail to address effectively.
Innovation Solution
A method for managing the magnification level of a graphical user interface (GUI) in an information handling system, involving calibration and configuration of a display magnification management model based on contextual data such as blink rate, distance, and display settings, allowing for automatic adjustment without user interaction, and the option to offload computational resources to a cloud-based system when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the magnification level of the GUI is manually adjusted by the user, then the user can control the display size, but the user experience deteriorates due to repeated manual adjustments and eye strain from prolonged display usage
Solution Approach 1:
The system automatically monitors user blink rate and distance from the display device, then autonomously adjusts the GUI magnification level without requiring manual user input. The display device serves itself by using its own sensors to detect user state and automatically modifying display parameters to reduce eye strain.
Solution Approach 2:
The system continuously monitors contextual data including blink rate and distance from the display, uses this feedback to determine appropriate magnification adjustments, and dynamically modifies the GUI magnification level. This closed-loop feedback mechanism ensures the display adapts to real-time user conditions.
2Object-affected harmful factors
If the system automatically monitors and adjusts magnification based on contextual data, then eye strain is reduced, but the device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The processor performs multiple functions: it processes display content, monitors contextual data (blink rate, distance), determines magnification adjustments, and controls display output. By making the processor multi-functional, the patent avoids adding separate dedicated hardware for each function, thereby reducing overall system complexity.
Solution Approach 2:
The system combines the magnification adjustment functionality with the existing display processing pipeline. The processor integrates contextual data analysis and magnification control into its existing display management operations, merging multiple functions into a unified processing approach rather than adding separate independent systems.
3Extent of automation
If computational resources are allocated for real-time monitoring and model training, then automatic magnification adjustment is achieved, but the local processing load increases
Solution Approach 1:
The patent divides the computational workload into distinct phases: calibration phase for model training and steady-state phase for real-time monitoring and adjustment. This segmentation allows intensive computational tasks to be performed during calibration, while the steady-state operation requires minimal processing, thereby reducing continuous energy consumption.
Solution Approach 2:
The system performs calibration and model training in advance during an initial setup phase. Once the display magnification management model is trained with user-specific parameters, the system transitions to steady-state operation where pre-trained models guide automatic adjustments with minimal real-time computational requirements.
Data Source
AI summary
Performing, at a first time, a calibration and configuration of a display magnification management model, including: identifying contextual data associated with contextual inputs of a user including a blink rate and a distance between the user and the display device; identifying display settings of the GUI; training, based on the contextual data and the display settings, the display magnification management model, including generating a configuration policy including configuration rules for performing computer-implemented actions to automatically adjust the magnification level of the GUI; performing, at a second time, a steady-state management of the magnification level of the GUI, including: monitoring the contextual inputs of the of the user, in response, i) accessing the display magnification management model, ii) identifying configuration rules based on the display settings and the monitored contextual inputs, and iii) applying the configuration rules to perform computer-implemented actions to automatically adjust the magnification level of the GUI.