Context-Dependent Augmented Reality Using Social Network Data
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Solution Overview
Problem
Conventional augmented reality (AR) systems rely on structured patterns or user input to display virtual elements, limiting their ability to provide context-dependent augmentations based on real-world objects and social network data.
Innovation Solution
An AR/VR system that integrates a social network server application to identify objects and persons in sensor data, retrieve relevant social network data, and display context-dependent augmentations on the AR/VR device display, using a hardware logic component to generate and present these augmentations based on sensor data and network interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional AR systems use structured patterns or user input to display virtual elements, then the system implementation is simple, but the system cannot provide context-dependent augmentations based on real-world objects and social network data
Solution Approach 1:
The patent introduces a server as an intermediary component that receives sensor data from the AR device, performs object recognition and social network data retrieval, then returns augmentation data to the AR device. This mediator approach allows the AR device to gain context-dependent augmentation capabilities without having to implement complex object recognition and data processing algorithms locally, thus resolving the contradiction between adaptability and device complexity.
Solution Approach 2:
The system is segmented into distinct functional components: the AR device handles sensor data acquisition and display, while the server handles object recognition, social network data retrieval, and augmentation data generation. This segmentation allows each component to be optimized independently, enabling context-dependent augmentations without overwhelming the AR device with excessive complexity.
2Adaptability or versatility
If the AR system retrieves social network data from a server, then context-dependent augmentations are enabled, but data transmission and processing time increases
Solution Approach 1:
The system performs preliminary actions by having the server ready to retrieve and process social network data in advance when triggered by object detection in sensor data. The server proactively generates augmentation data and transmits it to the AR device before the user actually needs to view it, reducing the perceived latency and enabling smooth context-dependent AR content presentation.
3Speed
If the AR device processes sensor data locally for object identification, then response time is fast, but the device requires more complex processing capabilities
Solution Approach 1:
The server acts as an intermediary that performs the computationally intensive object recognition and social network data retrieval tasks. The AR device only needs to capture sensor data and display results, maintaining simple device architecture while achieving fast response times through the server's parallel processing capabilities and optimized algorithms.
Data Source
AI summary
An augmented reality system includes an augmented reality (AR) device and a server computing device. The AR device transmits sensor data to the server computing device. The server computing device identifies a person and/or object in the sensor data. The server computing device executes a search over social network data to identify a portion of the social network data that relates to the identified person and/or object. The server computing device outputs augmentation data to the AR device that includes the identified portion of the social network data, and is configured to cause the AR device to display an augmentation that includes the portion of the social network data.