Observer Avatar for Metaverse Contextual Advertising
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Solution Overview
Problem
Current advertising techniques in virtual environments, such as metaverses, rely on behavioral targeting methods that are often inaccurate and invasive of users' privacy, lacking effective means to deliver contextually relevant advertisements.
Innovation Solution
A system that deploys an observer avatar to capture and analyze user interactions and contextual information within a metaverse, using artificial intelligence and image recognition to generate contextual segments for targeted advertising, allowing advertisers to present relevant offers within the virtual environment or through external channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If behavioral targeting techniques are used for advertising in metaverses, then advertisers can deliver targeted advertisements, but user privacy is invaded and accuracy is insufficient
Solution Approach 1:
The patent introduces an observer avatar as an intermediary entity that collects contextual information about user behavior and environment in the metaverse. This intermediary processes and analyzes data to generate contextual segments, enabling accurate advertising targeting without direct access to sensitive user personal information, thus resolving the contradiction between advertising accuracy and privacy protection
Solution Approach 2:
The patent segments user context into multiple contextual segments based on observed behaviors, environments, and interactions in the metaverse. By dividing the targeting approach into distinct contextual categories rather than relying on comprehensive personal data collection, the system achieves precise advertising relevance while minimizing privacy intrusion
2Adaptability or versatility
If comprehensive user data is collected for behavioral targeting, then advertising relevance improves, but system complexity and invasiveness increase
Solution Approach 1:
The observer avatar autonomously performs data collection, processing, and contextual segment generation within the metaverse environment. The system serves itself by automatically analyzing user behaviors and environments to create contextual segments, reducing the need for complex external data processing infrastructure and minimizing user-facing complexity while maintaining high advertising relevance
Data Source
AI summary
Systems are disclosed for determining contextual segments for targeting contextual advertising in metaverses. The system can deploy an observer avatar in a metaverse to capture information inside a portion of a metaverse from behaviors and interactions of a target user avatar. The observer avatar can capture audio, video, images, and text perceived by the observer avatar in the area of the user avatar, along with metadata describing the captured information. Using the captured observations, the system can determine contextual segments classifying the portion of the metaverse. Using a library of the contextual segments, advertisers can distribute contextually targeted advertisements.