Real-Time Demographic Data Stream Modification
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Solution Overview
Problem
Current methods for managing data streams lack real-time demographic-based content modification, relying on user-defined settings and audience measurement studies, which are not adaptive to individual actions in real-time environments.
Innovation Solution
A system and method that detect individual actions to determine demographic descriptors, correlate them with data stream content, and automatically modify the stream by censoring, replacing, or interrupting content based on predetermined conditions, using a demographic determiner, correlator, and stream modifier.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user-defined settings are used for content management, then individuals can block or restrict content, but the system lacks real-time adaptability to individual actions and demographic characteristics
Solution Approach 1:
The system automatically detects individual actions, determines demographic descriptors, and modifies data streams without requiring manual user configuration. The demographic determiner and correlator operate autonomously to adapt content delivery based on real-time observations of individual behavior patterns.
Solution Approach 2:
The system continuously monitors individual actions and uses this feedback to dynamically adjust content delivery. The correlator compares detected actions against stored demographic profiles and modifies the data stream in real-time based on the correlation results, creating a closed-loop adaptive system.
2Measurement precision
If audience measurement studies are used to tailor advertisements, then content can be targeted to estimated audiences, but the approach lacks precision for real-time individual demographic identification
Solution Approach 1:
Demographic profiles and correlation criteria are pre-computed and stored in the system before real-time operation. When an individual action is detected, the system simply queries pre-prepared demographic descriptors and correlation rules, enabling rapid identification without performing complex analysis in real-time.
Solution Approach 2:
The patent replaces traditional mechanical survey-based audience measurement with an automated electronic system that detects actions and uses algorithmic correlation to determine demographic descriptors. This substitution of manual survey methods with automated detection and computational correlation enables both higher precision and real-time operation.
3Extent of automation
If manual parental control settings are implemented, then content blocking is possible, but the system cannot automatically adapt to different individuals' demographic characteristics in real-time
Solution Approach 1:
The action detector is designed with multi-functionality to detect various types of individual actions across different contexts. Rather than requiring separate detection mechanisms for each action type, the universal detector identifies diverse actions and feeds them to the demographic determiner, which processes them through a unified demographic identification framework.
Data Source
AI summary
A system for managing a data stream that is transmitted to an environment is provided. The system includes a receiver that receives the data stream. The data stream includes a first program, with the first program configured to be displayed in the environment. An input receives information of an individual in the environment. A processor analyzes the information, determines a demographic descriptor of the individual based on the information, and correlates the demographic descriptor of the individual with a content of the first program to determine whether a predetermined condition is satisfied. The processor further determines a second program based on the demographic descriptor of the individual and modifies the first program based on the second program when the predetermined condition is satisfied.