Electronic Device Genetic Element-Based Personalization
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Solution Overview
Problem
Existing electronic devices fail to provide personalized services based on user genetic information, leading to suboptimal settings for applications such as RGB configurations, avatar creation, and sensor settings, which do not accurately reflect individual user characteristics.
Innovation Solution
An electronic device equipped with a processor that identifies genetic elements corresponding to user attributes, determines setting values based on these elements, and adjusts settings for applications like RGB configurations, avatar shapes, PPG sensors, and IR sensors to provide personalized services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic settings are used for applications, then device complexity is reduced and ease of operation is improved, but user experience personalization and service effectiveness deteriorate
Solution Approach 1:
The system performs preliminary identification of genetic elements and determination of setting values during device initialization or user profile creation. Genetic information is analyzed in advance to establish personalized settings for applications, sensors, and display configurations before the user actually uses these features, eliminating the need for real-time genetic analysis during operation.
Solution Approach 2:
A processor acts as an intermediary between the user's genetic information and the application settings. The processor receives genetic data, identifies relevant genetic elements, determines appropriate setting values, and applies these settings automatically. This intermediary layer handles the complexity of genetic analysis while presenting a simple, personalized interface to the user.
2Measurement precision
If genetic information analysis is implemented, then service personalization and measurement precision are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system extracts only the relevant genetic elements needed for specific application settings from the complete genetic information. Instead of analyzing all genetic data for every function, the processor identifies and extracts only the specific genetic elements pertinent to each application (e.g., color vision genes for display settings, skin type genes for sensor settings), reducing processing complexity while maintaining precision.
Solution Approach 2:
Different levels of genetic analysis precision are applied to different applications based on their specific requirements. For example, color blindness detection uses specialized genetic element identification optimized for visual processing genes, while skin-related applications use different identification parameters. This localized approach to genetic analysis improves accuracy for each specific function without requiring maximum processing power across all functions.
3Reliability
If personalized settings are determined based on genetic elements, then user experience quality and service effectiveness are improved, but processing time and computational resources increase
Solution Approach 1:
The system determines setting values based on genetic elements during initial device setup or user profile creation, storing these settings for later use. This preliminary determination eliminates the need for repeated genetic analysis whenever applications are launched or settings are accessed, significantly reducing processing time during actual use while maintaining high service effectiveness through personalized configurations.
Solution Approach 2:
Once setting values are determined from genetic analysis, the system creates and stores copies of these settings that can be rapidly applied without repeating the complex genetic analysis process. The processor stores the determined setting values in memory, allowing quick retrieval and application to multiple applications and functions, thereby reducing processing time while maintaining the reliability of personalized settings.
Data Source
AI summary
A method of operating an electronic device according to various embodiments r may include executing an application, identifying at least one genetic element corresponding to an attribute related to genetic information of a user with respect to the application, determining a setting value for the attribute based on the at least one genetic element, and providing a service related to the application based on the determined setting value.