Media Guidance Application Dynamic Access Control
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Solution Overview
Problem
Conventional media access control systems require manual adjustments for access restrictions to media content and are limited to basing restrictions solely on content, lacking flexibility in adapting to user location changes.
Innovation Solution
A media guidance application that automatically modifies access restrictions based on the user's location or projected location during specific time periods, using various techniques such as analyzing user-generated content and location data from sources like SMS, calendar applications, and social media to determine and adjust access permissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of access restrictions is required, then system complexity is reduced, but user convenience and adaptability deteriorate
Solution Approach 1:
The system automatically monitors user location through GPS data and social media activity, then autonomously adjusts media access restrictions without requiring manual user input. The media guidance application self-manages the access control logic based on detected location changes, eliminating the need for users to manually adjust settings while adapting to their real-time whereabouts.
Solution Approach 2:
The system continuously monitors user location through GPS and social media feeds, using this feedback to dynamically adjust media access restrictions. When location data indicates the user is away from home, the system automatically implements restricted access; when the user returns, access is automatically restored. This closed-loop feedback mechanism ensures access control adapts to user behavior without manual intervention.
2Adaptability or versatility
If access restrictions are based solely on content, then system simplicity is maintained, but adaptability to user location deteriorates
Solution Approach 1:
The media guidance application performs multiple functions: it monitors media content, tracks user location through GPS, analyzes social media activity, and automatically adjusts access restrictions. By combining these diverse functions into a single system, the application adapts to various user scenarios (location-based, time-based, content-based) without requiring separate systems for each function.
Solution Approach 2:
The access restriction system transitions from static, content-only based controls to dynamic controls that continuously adapt to user location and behavior. The system automatically adjusts restrictions in real-time based on location changes, ensuring media access policies remain flexible and responsive to user needs rather than being fixed beforehand.
3Adaptability or versatility
If automatic location-based modification is implemented, then adaptability improves, but measurement precision requirements increase
Solution Approach 1:
The system uses social media activity as an intermediary indicator of user location and status. Instead of directly relying on precise GPS tracking alone, the system analyzes social media posts, check-ins, and communications as intermediary signals that indirectly indicate user location and presence. This intermediary approach provides sufficient precision for access control while reducing the burden of requiring continuously accurate location data.
Data Source
AI summary
Methods and systems are disclosed herein for a media guidance application that allows access restrictions to be modified in a flexible manner based on the activities of a user. Specifically, the media guidance application detects communications from the user to other devices and based on that communication determines whether or not to modify a level of access restriction to media content.