Electronic Device User Profile Switching via Usage Pattern Analysis
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Solution Overview
Problem
Electronic devices face challenges in distinguishing between multiple users, leading to difficulties in providing user-customized services tailored to individual interests or tastes, especially when multiple people share the same device.
Innovation Solution
The electronic device includes a processor and memory that store profiles for each user, allowing it to acquire and compare usage patterns to recognize profile changes, retrieve matching profiles, and configure the device accordingly, thereby providing personalized services without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple users share an electronic device, then device utilization increases, but the ability to provide user-customized services deteriorates
Solution Approach 1:
The system automatically identifies users and switches profiles without manual intervention. The processor monitors usage patterns, compares them against stored profiles, and autonomously determines the current user, eliminating the need for users to manually switch accounts or configurations.
Solution Approach 2:
The patent replaces manual user identification methods (such as login screens or physical device handoff tracking) with automated pattern recognition. The system uses sensor data and usage behavior analysis to substitute mechanical or manual identification processes with computational pattern matching.
2Ease of operation
If the device uses a single default profile, then configuration simplicity is maintained, but service personalization deteriorates
Solution Approach 1:
The electronic device is designed to handle multiple profiles within a single unified system. The processor can switch between different profile configurations (camera settings, social media accounts, preferences) while maintaining a consistent user interface and operational framework, making the device universally adaptable to multiple users without requiring separate physical devices or complex reconfiguration.
Solution Approach 2:
The profile configuration is dynamic rather than static. The system continuously monitors usage patterns and automatically adjusts the active profile based on real-time behavior analysis. This allows the device to adapt its configuration on-the-fly without requiring manual user input or complex setup procedures.
3Adaptability or versatility
If the device automatically identifies users through usage patterns, then service customization improves, but processing complexity increases
Solution Approach 1:
Profile data and usage pattern thresholds are pre-configured and stored in memory before actual user identification occurs. The system prepares reference profiles with expected usage characteristics in advance, allowing the processor to perform simple pattern matching rather than complex real-time analysis, thereby reducing processing complexity while maintaining customization capability.
Data Source
AI summary
An electronic device according to an embodiment includes: a processor, and a memory configured to be operatively connected to the processor and to store a list including a plurality of profiles respectively corresponding to members recognized as users of the electronic device, wherein the memory stores, when executed, instructions that cause the processor to: acquire a usage pattern of the electronic device; compare a first profile used for configuring the electronic device among the plurality of profiles with the usage pattern; recognize a profile change based on a result of the comparison; retrieve a second profile matching the acquired usage pattern from the list based on the recognition of the profile change; and configure the electronic device using the second profile. In addition, various other embodiments are possible.