Augmented Reality Information Filtering via Proximity-Based Privacy Rules
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Solution Overview
Problem
Existing augmented reality applications face challenges in providing relevant and privacy-controlled information about individuals in real-time, especially in contexts like conferences or social events, where data needs to be quickly extracted and filtered from various sources while ensuring user privacy.
Innovation Solution
A method that identifies user-specific rules for information sharing, using a central server to determine and display relevant information to users based on their proximity, leveraging camera and position sensors for accurate detection, and facial recognition, while ensuring privacy constraints and optimizing data display on wearable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If augmented reality applications display information about individuals in real-time, then the relevance and usefulness of the application is improved, but user privacy is compromised
Solution Approach 1:
A central server acts as an intermediary between the AR application and user information sources. The server receives location data from the AR application, queries relevant information from databases, and returns filtered results. This intermediary structure allows the application to access information without directly handling or exposing user data, thus maintaining privacy while enabling relevant information display.
Solution Approach 2:
The patent extracts only the necessary information needed for the AR application's function from larger datasets. Instead of accessing complete user profiles or databases directly, the system queries for specific attributes (name, affiliation, characteristics) based on location context, extracting only the minimal required data to achieve the application's goals while leaving the rest of the data private.
2Loss of information
If the system displays comprehensive information about users, then the information sharing is improved, but the device complexity increases
Solution Approach 1:
The system segments the information display function into separate components: a central server that handles data querying and filtering, and a simplified AR application that only receives and displays the filtered results. This segmentation reduces the complexity of the mobile device while enabling comprehensive information sharing, as the heavy data processing is offloaded to the server.
3Adaptability or versatility
If the system processes and filters user data in real-time, then the information relevance is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary data filtering and relevance determination on the central server before the AR application needs the information. The server pre-processes queries based on location data and returns pre-filtered results, reducing the processing time at the mobile device and enabling real-time information relevance without significant delays.
Data Source
AI summary
A method includes identifies first user-specific rules defining information associated with a first user to make available to one or more other users. The method identifies second user-specific rules defining information of interest associated with a second user. The method detects the first user is in a vicinity of the second user. The method determines based on the first user-specific rules and the second user-specific rules, a set of information associated with the first user to share with the second user. The method displays to the second user in an augmented reality application, the determined set of information associated with the first user.