Audio Capture Device for Offline Content Tracking
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Solution Overview
Problem
Conventional techniques for identifying potential consumers for advertisements are inefficient and inaccurate, as they primarily rely on online behavior and lack a mechanism to capture and utilize offline user interactions with content such as television and radio broadcasts.
Innovation Solution
The method involves generating a user profile based on audio data captured from a user's environment using an audio capture device, computing hash values from this data to identify content consumption, and dynamically selecting advertisements for output based on the generated profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional online monitoring techniques are used to identify potential consumers, then advertisement targeting can be performed based on webpages viewed and user demographics, but a significant amount of offline user interaction with content (television, radio) is not captured
Solution Approach 1:
The patent introduces an audio capture device as an intermediary component that bridges the gap between offline content consumption and digital tracking. This device captures audio data from the user's environment (television, radio, etc.) and converts it into trackable information through hash value comparison, enabling offline interaction data to be captured without significantly increasing overall system complexity
Solution Approach 2:
The patent replaces traditional mechanical/manual methods of tracking content consumption with an automated audio-based system. Instead of requiring users to manually report what they watch or listen to, the system automatically captures audio data, computes hash values, and matches them against a database, substituting manual tracking mechanisms with an automated acoustic monitoring system
2Measurement precision
If generalized demographics are used for advertisement targeting, then advertisements can be supplied to marketing channels, but the accuracy of identifying potential consumers is reduced
Solution Approach 1:
The patent segments the broad demographic market into more precise user profiles by incorporating specific content consumption data. Instead of treating all users in a demographic group the same, the system divides them based on their actual watched content, listened to radio stations, and viewed television programs, creating more granular and accurate targeting segments that improve both precision and efficiency
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors and updates user content consumption patterns. By capturing audio data, computing hash values, and comparing them against the database, the system receives real-time feedback about what users are consuming, which is then used to refine and update user profiles for more accurate future advertisement targeting
3Loss of information
If online usage monitoring is implemented to focus demographics, then knowledge of the user and accuracy of advertisement provision is improved, but knowledge remains limited to online monitoring only
Solution Approach 1:
The patent creates a universal tracking system that functions across multiple platforms and content types. The audio capture device and hash value comparison mechanism can identify television programs, radio stations, online videos, and other audio-visual content through a single unified approach, making the system adaptable and versatile across different media platforms without requiring separate tracking mechanisms for each
Data Source
AI summary
Audio sampling and user profile generation of advertisement control techniques are described. In one or more implementations, in a digital environment in which advertisements are dynamically selected for output and consumption by a user, a method is utilized to generate a user profile by one or more computing devices that serves as a basis for this dynamic selection. The method includes generating the user profile based on monitored consumption of content by a user, the consumption monitored through capture of audio data output in an environment of a user and identification of the audio data through comparison of hash values calculated from the captured audio data. The method also includes determining suitability of one or more of a plurality of advertisements for output to and consumption by the user based on the generated user profile and controlling output of the one or more of the plurality of advertisements to the user based on the determined suitability.