Context-Aware AR Data Integration via Predictive Overlay
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Solution Overview
Problem
Current augmented reality systems fail to provide a fully integrated experience by limiting information overlay to specific applications and data sets, not utilizing contextual information effectively, and lacking interactivity beyond user-initiated interactions.
Innovation Solution
The system integrates data from various sources, including proprietary and external data sets, using contextual information such as location, orientation, and visual data to provide tailored, interactive information overlays relevant to the user's field of view, leveraging predictive analysis to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current augmented reality systems overlay visual data on a screen or viewport, then information is provided to the user, but the system remains limited to replicating the visual spectrum without true contextual integration
Solution Approach 1:
The system segments information processing into multiple layers: visual data capture, contextual data acquisition from multiple sources, predictive analysis processing, and layered overlay presentation. This segmentation allows each component to specialize in specific functions, enabling true contextual integration while maintaining visual information fidelity.
Solution Approach 2:
The patent implements nested data structures where contextual information, predictive analysis results, and visual overlays are organized in hierarchical layers. Each layer contains and references data from inner layers, creating a nested information architecture that preserves all contextual details while presenting integrated views to the user.
2Ease of operation
If augmented reality systems provide information overlays, then user information access is improved, but interactivity remains limited to user-initiated interactions
Solution Approach 1:
The system performs preliminary actions by using predictive analysis to anticipate user needs and prepare relevant information before users actually request it. The system analyzes user behavior patterns, contextual data, and environmental factors to proactively generate and present relevant overlays, reducing the need for explicit user initiation while maintaining ease of operation.
Solution Approach 2:
The patent implements continuous feedback loops where user interactions with overlays, system predictions, and contextual changes are constantly monitored and fed back into the predictive analysis engine. This feedback mechanism refines automation accuracy over time, improving both ease of operation and predictive automation level in an iterative manner.
3Reliability
If augmented reality systems use multiple data sources, then information comprehensiveness is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal data integration architecture that handles multiple data sources through standardized interfaces and common processing pipelines. The system uses multi-functional modules that can process various data types (visual, contextual, predictive) through unified algorithms, reducing overall system complexity while maintaining information accuracy from diverse sources.
Solution Approach 2:
The patent introduces intermediary components including data normalization layers, predictive analysis engines, and integration middleware that mediate between multiple data sources and the presentation layer. These intermediaries standardize data formats, filter relevant information, and coordinate data flow, thereby managing complexity while preserving information accuracy from multiple sources.
Data Source
AI summary
Systems and methods are provided for improved data integration in augmented reality devices. The systems and methods include obtaining contextual information associated with an individual and device information associated with an augmented reality device associated with the individual from the augmented reality device, obtaining a plurality of data sets associated with the individual or augmented reality device from a plurality of data sources, determining a subset of information from the data sets that is relevant to the individual or the augmented reality device wherein the relevancy of the subset of information is based on an analysis of the contextual information and the device information, generating display data based on the determined subset of information, providing the display data to the augmented reality device for display on the augmented reality device wherein a graphical overlay representative of the display data is displayed in front of the individual's field of view.