Dynamic Media Use Control Service for Adaptive Parental Rules

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Solution Overview

Problem

Conventional parental control methods on media devices are static and easily bypassed by children, failing to adapt to changing media environments and user behaviors, particularly in dynamic and personalized media usage scenarios.

Innovation Solution

A dynamic media use control system that predicts user behavior patterns over time, generating adaptive media use control rules based on user data, developmental stages, and media environment changes, using cognitive analytics and cloud-based services to manage access to media content and device usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional parental control rules are manually configured by parents, then media access control is implemented, but the control rules are static and easily bypassed by children

Engineering Contradiction:
Improvemedia access control effectivenessVSAvoidadaptability to changing media environment and user behaviors
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic parental control rules that automatically adjust based on user behavior patterns, developmental stages, and media environment changes. The system transitions from static manually-configured rules to dynamic rules that evolve over time, making them harder to bypass while adapting to changing conditions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system continuously monitors media usage behavior and uses this feedback to automatically update control rules. The feedback loop enables the system to learn from user actions and adjust restrictions accordingly, improving both reliability and adaptability simultaneously.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If parental control rules are manually configured, then control functionality is provided, but parents bear the burden of continuous monitoring and rule adjustment

Engineering Contradiction:
Improveparental control setupVSAvoidtime spent on monitoring and rule adjustment
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system enables self-service parental control by automatically generating and adjusting control rules based on monitored behavior patterns. Parents initially configure basic parameters, but the system then autonomously manages rule adjustments, eliminating the need for continuous parental intervention and time investment.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical process of manual rule configuration and monitoring with an automated cognitive system that uses analytics and machine learning. This substitution eliminates the time burden on parents while maintaining effective control.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If static parental control rules are implemented, then media access is restricted, but the rules fail to adapt to developmental stages and media environment changes

Engineering Contradiction:
Improvecontent access controlVSAvoidadaptation to developmental stages
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system implements dynamic control rules that automatically evolve with the user's developmental stages. As users mature, the system adjusts restrictions accordingly, maintaining appropriate control while adapting to changing capabilities and needs, thus resolving the contradiction between reliable control and developmental adaptability.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12131263B2Dynamic media use control service
Publication Date: 2024.10.29 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US12131263B2 patent drawing
  • US12131263B2 patent drawing
  • US12131263B2 patent drawing

AI summary

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining prediction data that are indicative of media use behaviors of a user; and predicting, in dependence on the prediction data, a pattern of the media use behaviors of the user.