Privacy-Aware Representation in Mixed Reality
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Solution Overview
Problem
Existing mixed reality environments lack effective privacy protection mechanisms, relying on user trust, restricted APIs, or opt-in/opt-out approaches that do not adequately address user preferences for data privacy in augmented, virtual, and extended reality settings.
Innovation Solution
A computer-implemented method and system that uses a content analyzer and machine learning model to identify privacy status of objects in a scene, processing them to render a privacy-aware representation by concealing, transforming, or masking sensitive objects based on user preferences, eliminating the need for exhaustive data lists and allowing customization of privacy settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If applications are given unrestricted access to raw sensor data for rendering content, then application functionality and content quality are improved, but user privacy security deteriorates
Solution Approach 1:
The patent introduces a privacy policy enforcement agent as an intermediary component that sits between the sensor data collection system and the applications. This agent automatically enforces privacy policies by filtering, anonymizing, or redacting sensitive information before making data available to applications, thus enabling applications to access useful data while maintaining privacy security through automated mediation
2Reliability
If restricted APIs are provided to control access to sensor information, then user privacy security is improved, but application versatility deteriorates
Solution Approach 1:
The patent implements dynamic privacy policies that can be adjusted and modified based on user preferences, application requirements, and context. The privacy policy enforcement agent can dynamically determine what level of data access is appropriate for different applications and situations, allowing the system to adapt between providing broad access when appropriate and restricting access when needed, thus balancing privacy security with application versatility
3Reliability
If opt-in or opt-out approaches are used for privacy control, then user privacy awareness is improved, but system complexity and user burden increase
Solution Approach 1:
The patent implements a system where the privacy policy enforcement agent operates autonomously to enforce privacy policies without requiring continuous user intervention. The agent automatically monitors data access requests, applies appropriate privacy controls, and enforces policies based on predefined rules and user preferences, thereby maintaining privacy awareness while reducing the operational complexity and user burden of manual opt-in/opt-out management
Data Source
AI summary
Embodiments herein disclose a method for facilitating a privacy-aware representation in a system. The method comprises determining using a content analyzer a layout of a scene. Thereafter, one or more objects in the scene is identified using the content analyzer to define a relationship between the objects. A privacy status to be tagged to the one or more identified objects is inferred by using a machine learning model. At least one object is processed based on the privacy status inferred. A privacy-aware representation of the scene is rendered, wherein the privacy-aware representation displays the scene with at least one processed object.