Context-Based Mobile Device Virtualization
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Solution Overview
Problem
Mobile devices face challenges in seamlessly transitioning between work and personal contexts, leading to inefficient and inappropriate usage in relevant, cost-effective manners.
Innovation Solution
A mobile device context control system that automatically determines the usage context by analyzing geo-location, time, and event signals, and switches between work and personal operational modes by allocating hardware resources, data storage, and account usage accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mobile device is designed to handle multiple contexts (work and personal), then the device's versatility and adaptability improve, but the device complexity increases
Solution Approach 1:
The patent segments the mobile device into multiple virtual machines, each dedicated to a specific context (work or personal). This segmentation allows the device to handle multiple contexts simultaneously with specialized processing environments, improving context adaptability while managing complexity through modular isolation of functions.
Solution Approach 2:
The patent implements a universal device architecture that can function in multiple contexts by dynamically allocating resources to different virtual machines. The single physical device provides multi-functional capability by switching between work and personal modes, achieving versatility without requiring separate dedicated devices for each context.
2Ease of operation
If automatic context switching is implemented, then user efficiency and ease of operation improve, but the extent of automation increases system complexity
Solution Approach 1:
The system implements self-service automation by automatically detecting the user's context (work or personal) based on various signals and autonomously switching between virtual machines without requiring explicit user commands. This self-service approach improves ease of operation while managing automation complexity through intelligent, context-aware decision-making algorithms.
Solution Approach 2:
The automatic context switching system incorporates feedback mechanisms that continuously monitor user behavior, location, time, and device usage patterns to dynamically adjust and improve context detection accuracy. This feedback loop enables the system to learn from user interactions and refine automatic switching decisions, enhancing user convenience while managing automation complexity through adaptive optimization.
3Reliability
If context-specific data storage is implemented, then data security and reliability improve, but the quantity of data management requirements increases
Solution Approach 1:
The patent segments data storage into context-specific virtual file systems within isolated virtual machines. Work-related data is stored in the work virtual machine's namespace while personal data resides in the personal virtual machine, providing automatic data segregation that enhances security and reliability by preventing unauthorized cross-context access while managing data quantities through organized, context-based storage structures.
Data Source
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AI summary
A context for a mobile device is determined based on received electronic signals, wherein the context is either a personal context or a work context. Depending upon whether the determined context is the personal context of the work context, a type of information from either a work data storage or a personal data storage is accessed and displayed on the mobile device. In one implementation, a keyword identified in an event on the mobile device is identified and used to retrieve and display supplemental information for the event.