Platform-Agnostic Application Constraint Enforcement
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Solution Overview
Problem
Existing parental guidance tools struggle to effectively monitor and regulate a supervisee's use of computing resources across different application execution platforms, as they treat each version of an application as distinct, allowing supervisees to evade restrictions by switching devices.
Innovation Solution
A computer-implemented technique that defines and applies platform-agnostic constraint information, allowing supervisors to set restrictions that apply to all versions of an application across various execution platforms, including alerts and request mechanisms for additional time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing parental guidance tools treat each version of an application as distinct, then the device complexity for implementing constraints is reduced, but the reliability of constraint enforcement deteriorates as supervisees can evade restrictions by switching devices
Solution Approach 1:
The patent implements platform-agnostic constraint information that applies uniformly across multiple application execution platforms (iOS, Android, Windows, etc.). Instead of creating separate constraints for each platform version, the system defines a single constraint that universally applies to all platforms, thereby improving enforcement reliability without proportionally increasing complexity.
Solution Approach 2:
The patent merges constraint management across different platforms by associating constraint information with application identifiers that are recognized across multiple platforms. This consolidation allows the system to track and enforce constraints for the same application regardless of which platform it runs on, preventing evasion through platform switching.
2Ease of operation
If supervisors set constraints for each individual version of an application across different platforms, then the precision of constraint control is improved, but the ease of operation deteriorates due to the need to independently specify constraints for each version
Solution Approach 1:
The system enables supervisors to define a single constraint that universally applies across all platforms by using platform-agnostic constraint information. This single constraint automatically enforces the same rules whether the application runs on iOS, Android, Windows, or other platforms, greatly simplifying the setup process while maintaining precise control over application usage.
Solution Approach 2:
The patent segments constraint management into two distinct layers: platform-agnostic constraint information that applies universally, and platform-specific implementation details that are automatically handled by the system. This segmentation allows supervisors to focus on defining the constraint logic once, while the system handles the complexity of cross-platform enforcement.
3Measurement precision
If the system tracks usage across all versions of an application, then the measurement precision of supervisee activity is improved, but the device complexity for implementing cross-platform tracking increases
Solution Approach 1:
The patent merges usage tracking data from multiple platforms by associating all usage events with a unified application identifier. The system consolidates usage information across iOS, Android, Windows, and other platforms into a single tracking record, enabling precise measurement of total usage time without requiring separate tracking infrastructure for each platform.
Solution Approach 2:
The system introduces an intermediary layer (the platform-agnostic constraint management system) that sits between the various platform-specific applications and the constraint enforcement logic. This intermediary handles the complexity of cross-platform communication and data aggregation, allowing precise usage tracking while shielding the supervisor from implementation complexity.
4Reliability
If existing tools allow supervisees to access different versions of the same application on different devices, then the adaptability of the system to various platforms is improved, but the reliability of restriction enforcement deteriorates as supervisees can circumvent constraints
Solution Approach 1:
The patent implements universal constraint enforcement that works across all platforms by defining constraints at the application level rather than the platform level. The same constraint information is applied whether the application is accessed via iOS, Android, Windows, or other platforms, ensuring consistent enforcement reliability while maintaining full platform adaptability.
Solution Approach 2:
The system performs preliminary association of constraint information with application identifiers before the supervisee can access the application on any platform. This preliminary binding ensures that when the application is launched on any platform, the appropriate constraints are already in place and automatically enforced, preventing circumvention through platform switching.
Data Source
AI summary
A computer-implemented technique is described herein for defining and applying constraints that regulate a supervisee's interaction with applications. In one implementation, the technique provides a user interface presentation to a supervisor that lists a set of applications that run on plural application execution platforms. The user interface presentation also allows the supervisor to set platform-agnostic constraint information for any identified application. The platform-agnostic constraint information, once set for an application, constrains interaction by a supervisee with all versions of that same application. That is, the constraint information is said to be agnostic with respect to platform in the sense that it applies to a variety of application execution platforms that run the application. In one example, the platform-agnostic constraint information specifies a permitted amount of an activity that the supervisee is permitted to perform across all versions of an application.