Intelligent Television Viewer Information Collection System
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Solution Overview
Problem
The Nielsen television rating system faces issues with accuracy and bias, particularly due to self-reporting methods, small sample sizes, and inability to account for viewing outside the home or on new platforms like internet TV, leading to unreliable data for advertisers and networks.
Innovation Solution
A system that collects viewer information through intelligent televisions and connected devices, applying rule sets to determine what data is transmitted for ratings and content configuration, enabling more accurate and comprehensive audience measurement across various platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If Nielsen uses self-reporting diary methodology to gather viewing habits, then audience counts are higher and easier to collect, but the data contains response bias and is less accurate
Solution Approach 1:
The patent replaces manual self-reporting (mechanical/diary method) with electronic automated tracking systems including set meters, people meters, and digital device sensors that automatically record viewing behavior without human intervention, eliminating response bias while maintaining comprehensive data collection
Solution Approach 2:
The patent introduces electronic intermediaries (set meters, people meters, digital trackers) between the viewer and the rating system that objectively measure viewing behavior without requiring direct human reporting, thus removing the bias inherent in self-reporting while preserving detailed viewing information
2Quantity of substance
If Nielsen uses a small sample size of 25,000 households out of 114,500,000 TV households, then data collection costs are reduced, but the statistical randomness and representativeness of the sample deteriorate
Solution Approach 1:
The patent implements a universal measurement system that can function across all TV households regardless of size or composition, using standardized electronic meters and digital trackers that work uniformly across diverse household types, thereby improving sample representativeness without proportionally increasing costs
Solution Approach 2:
The patent changes the sampling parameter from household-level sampling to individual viewer-level tracking within households, using people meters and digital device identifiers to capture granular viewing data that better represents the actual viewing population while maintaining cost efficiency
3Device complexity
If Nielsen tracks only traditional TV viewing within the home, then the measurement system remains simple, but it fails to account for viewing outside the home and on new platforms like internet TV
Solution Approach 1:
The patent creates a universal measurement system that simultaneously tracks viewing across multiple platforms (traditional TV, internet TV, mobile devices, tablets) using a unified electronic tracking approach, maintaining system simplicity while dramatically expanding platform coverage and adaptability
Solution Approach 2:
The patent implements a dynamic measurement system that automatically adapts to new viewing platforms and devices as they emerge, using flexible electronic tracking methods that can be deployed across traditional and emerging media without requiring fundamental system redesign
4Reliability
If Nielsen separates household viewing information into demographic groups but refuses to change distribution of ethnic group data into subgroups, then data privacy is protected, but targeted advertising capability is reduced
Solution Approach 1:
The patent applies local quality by providing different levels of demographic granularity to different users: aggregated demographic data for privacy protection while enabling fine-grained ethnic subgroup targeting for advertisers who have proper authorization, thus balancing privacy and targeting needs through differentiated data access
Data Source
AI summary
An intelligent television is provided that can collect viewer information for use by a rating service.