Application Management Relation Tree for Unauthorized Input Prevention
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Solution Overview
Problem
Existing systems for managing applications in electronic devices do not consider historic user data or monitor attributes associated with application performance, leading to potential undesired operations due to unauthorized or unintentional inputs, and lack transparency for users regarding the reasons behind specific operations.
Innovation Solution
A method and system that utilize a learning technique to generate a relation tree for managing applications, identifying enablers and parameters, and updating the tree based on current status and new data, allowing for informed operation management and user notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If application management is based on user inputs at an instant of time, then the system responds quickly to user actions, but it cannot prevent undesired operations from unauthorized or unintentional inputs
Solution Approach 1:
The system performs preliminary actions by continuously monitoring user behavior patterns and building a behavioral profile before actual application execution. This allows the system to predict and prevent undesired operations by comparing real-time actions against the established behavioral baseline, rather than merely reacting to inputs after they occur.
Solution Approach 2:
The system implements feedback by continuously analyzing user inputs and application behaviors, comparing them against learned patterns, and providing real-time control decisions. The feedback loop enables the system to adjust its understanding of user intent dynamically, preventing unauthorized operations while maintaining responsiveness to legitimate user actions.
2Device complexity
If the system manages applications without monitoring attributes, then the system complexity is reduced, but it cannot identify why specific operations are performed
Solution Approach 1:
The system applies self-service by automatically monitoring and analyzing its own operational attributes and user interaction patterns. It autonomously builds behavioral profiles, identifies operation reasons, and makes management decisions without requiring external intervention, thus maintaining low complexity while gaining deep operational insights.
Solution Approach 2:
The system introduces an intermediary layer that monitors and analyzes the relationship between user inputs and application behaviors. This intermediary component captures attribute data, interprets operation reasons, and provides contextual understanding without adding significant complexity to the core application management functionality.
3Device complexity
If the system does not provide operation information to the user, then the system simplicity is maintained, but user awareness of operation reasons is lost
Solution Approach 1:
The system provides feedback to users by explaining the reasons behind detected operations and control decisions. This feedback mechanism enhances user awareness without significantly increasing system complexity, as it leverages the same behavioral analysis infrastructure already in place for operation detection and control.
Data Source
AI summary
Embodiments of present disclosure discloses system and method for managing applications in electronic device. Initially, relation tree associated with applications is identified. The relation tree is generated based on learning technique implemented for applications, parameters, enablers associated with electronic device. Based on identified relation tree, enablers are identified from plurality of enablers, corresponding to each of applications. Further, current status of parameters based on current status of enablers is retrieved. The relation tree is updated based on learning technique implemented for at least one of the current status of the parameters, new applications, new parameters, enablers associated with the electronic device. An application from the applications is identified based on the current status of the parameters and the relation tree. The electronic device is instructed to perform operations associated with the identified application.