Behavioral Parental Control System for Media Assets

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Solution Overview

Problem

Existing parental control systems for media assets lack the ability to integrate observed user behavior data to dynamically adjust restrictions, relying solely on manual input and content ratings, which does not account for real-time adverse reactions to specific media content.

Innovation Solution

Implementing a behavioral-based parental control system that analyzes user actions and matches them with character actions within media assets, using a behavior analysis engine to automatically apply and store parental control restrictions without human intervention, by generating a user baseline behavior dataset and determining deviations from normal behavior.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual parental control restrictions are implemented through user interface, then parental controls can be applied to media assets, but the system cannot integrate observed user behavior data to dynamically adjust restrictions

Engineering Contradiction:
Improvedynamic adjustment of restrictions based on behaviorVSAvoidautomatic application of restrictions
Core Design Contradiction:
Adaptability or versatilityVSExtent of automation

Solution Approach 1:

The system implements feedback by capturing user behavioral data during media consumption and using this feedback to automatically adjust parental control restrictions. The behavior analysis engine receives behavioral data, compares it against baseline patterns, and dynamically modifies restrictions based on the analysis results, creating a closed-loop adaptive system.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system enables self-service by allowing the parental control system to automatically monitor, analyze, and adjust restrictions without requiring continuous manual parental intervention. The behavior analysis engine autonomously processes behavioral data and applies restrictions based on pre-configured policies and baseline comparisons.

Inventive Principle:
Principle #25Self-service

2Reliability

If behavioral analysis engine automatically applies parental control restrictions, then real-time adverse reactions can be prevented, but the system complexity increases

Engineering Contradiction:
Improveprevention of adverse reactionsVSAvoidsystem architecture
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the parental control functionality into distinct modular components: a behavior analysis engine for processing behavioral data, a baseline generation module for establishing normal patterns, a comparison engine for detecting deviations, and a restriction application module for enforcing controls. This modular architecture manages complexity while enabling reliable real-time monitoring and intervention.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The behavior analysis engine serves as an intermediary between raw behavioral data and parental control restrictions. It processes and interprets behavioral patterns, compares them against baselines, and translates deviations into appropriate restriction actions, thereby managing the complexity of directly linking behavioral monitoring to control enforcement.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If user baseline behavior dataset is generated through recording and analysis, then deviations from normal behavior can be detected, but the time and computational resources required increase

Engineering Contradiction:
Improvebehavior deviation detection accuracyVSAvoidbaseline generation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary action by generating user baseline behavior datasets in advance during periods when the user is actively using the system. Rather than waiting for adverse reactions to occur, the baseline is established proactively through continuous behavioral monitoring and pattern recognition, enabling faster real-time detection of deviations without delaying intervention.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system maintains continuity of useful action by continuously collecting and analyzing behavioral data to refine and update baseline patterns over time. This ongoing process allows the system to learn and adapt to evolving user behaviors, improving detection accuracy while distributing the computational workload across extended periods rather than concentrating it in single intensive processing events.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS20240171817A1Systems and methods for applying behavioral-based parental controls for media assets
Publication Date: 2024.05.23 ADEIA GUIDES INC
  • US20240171817A1 patent drawing
  • US20240171817A1 patent drawing
  • US20240171817A1 patent drawing

AI summary

Systems and methods are disclosed herein for applying behavioral-based parental controls for media assets. The disclosed techniques herein discuss determining a media asset viewed by a user and character actions of a character within the media asset. Behavioral user data is received which includes a user action. A determination is made whether the user action matches one of the character actions. If a match is found, a parental control restriction setting for the media asset is applied and this parental control restriction is stored in memory.