Virtual Environment Ad Viewing Feedback for Personalized Content
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Solution Overview
Problem
Advertisers face challenges in determining whether users effectively view commercial content due to the use of digital video recorders and viewer distractions, making it difficult to gauge actual viewing behavior.
Innovation Solution
Utilizing integrated virtual environment devices, such as wearable computing devices with cameras and processors, to track user viewing patterns and determine if commercial content is being viewed, and then using a personality server to analyze and customize future content delivery based on these patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital video recorders and distraction-based viewing environments are used, then user convenience and environmental flexibility are improved, but the reliability of commercial content viewing is worsened
Solution Approach 1:
The system implements feedback by using cameras to detect whether the user is actually viewing the commercial content and using audio sensors to detect distractions. This feedback mechanism allows the system to determine effective viewing despite user convenience features like DVR and environmental distractions, thereby resolving the contradiction between ease of operation and viewing reliability.
2Device complexity
If traditional commercial content delivery is used, then content delivery simplicity is improved, but the measurement precision of user viewing behavior is worsened
Solution Approach 1:
The patent introduces an intermediary system consisting of cameras, audio sensors, and processing devices that mediate between the simple content delivery system and the complex task of measuring user viewing behavior. This intermediary layer captures visual and audio data to precisely determine whether the user is effectively viewing the commercial content, thereby resolving the contradiction between delivery simplicity and measurement precision.
3Adaptability or versatility
If user viewing patterns are tracked and analyzed, then advertising customization and effectiveness are improved, but the device complexity and data processing requirements are worsened
Solution Approach 1:
The system performs preliminary action by pre-processing and analyzing user viewing patterns to create customized advertising content in advance. The personality server analyzes viewing data and prepares customized commercials before delivery, which reduces the complexity of real-time processing while enabling high adaptability and customization of advertising content based on user preferences and behaviors.
Data Source
AI summary
A method of providing customized commercial content to a user includes providing first commercial content to a user, determining, using an integrated virtual environment device, whether the user substantially viewed the first commercial content, and providing second commercial content to the user based on the first commercial content and whether the user substantially viewed the first commercial content.