Augmented Reality Interface with Generative AI for Real-Time Data Visualization
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Solution Overview
Problem
Existing technologies face challenges in providing real-time digital interactions with augmented reality and generative artificial intelligence, particularly in processing user requests and generating graphical user interfaces dynamically.
Innovation Solution
The system enables real-time processing of user requests by authenticating users and transmitting inputs to a generative artificial intelligence system, which automatically generates graphical user interfaces in augmented reality environments to communicate retrieved information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If requests for information are specifically tailored to formats compatible with computing systems, then information can be accessed, but real-time processing becomes challenging
Solution Approach 1:
The system pre-loads and caches frequently accessed information from multiple sources before requests are made. This preliminary action allows the system to retrieve information immediately when requested, eliminating real-time processing delays while maintaining format compatibility through pre-formatted data structures.
Solution Approach 2:
The system dynamically adapts information formats based on the specific computing system receiving the data. Rather than using fixed formats, the system transforms and optimizes data structures in real-time according to the target system's requirements, enabling both reliable access and efficient processing.
2Productivity
If generative artificial intelligence models are used to automatically generate graphical user interfaces, then user interaction efficiency is enhanced, but system complexity increases
Solution Approach 1:
The system introduces a natural language processing intermediary layer between the user and the complex AI models. Users interact through simple speech or text commands rather than directly controlling complex interface generation parameters. This intermediary translates user intent into structured requests for the generative AI, reducing perceived system complexity while maintaining high productivity.
Solution Approach 2:
The generative AI system automatically generates, optimizes, and adapts graphical user interfaces without requiring manual configuration or complex user input. The system serves itself by autonomously creating appropriate interface elements based on the retrieved information and user context, eliminating the need for users to understand or manage the underlying system complexity.
3Adaptability or versatility
If authentication settings authorize presentation and processing of user data records, then user-specific information can be displayed, but security requirements become more stringent
Solution Approach 1:
The system applies different authentication and authorization levels to different portions of user data rather than treating all data uniformly. Sensitive information requires stricter authentication, while less sensitive data can be accessed with simpler verification. This localized quality approach enables comprehensive user-specific information display while maintaining appropriate security controls for each data category.
Solution Approach 2:
The system performs preliminary authentication and authorization checks before data retrieval, and implements continuous verification during data processing. By establishing security credentials in advance and maintaining them throughout the interaction, the system enables full access to user-specific information while ensuring security requirements are met without requiring repeated authentication interruptions.
Data Source
AI summary
Systems, methods, and devices for smart digital interactions with augmented reality and generative artificial intelligence are disclosed. A method includes authenticating a user according to one or more authentication settings provided to the premises computing system. The authentication settings can authorize presentation and processing of a subset of the user data records. The method further includes monitoring user input from the user via an input device of the premises computing system, and transmitting, to a generative artificial intelligence system, a request to generate a response based on the user input. The request is in regard to the subset of the user data records. The method also includes presenting, via an augmented reality device, at least one visualization generated based on the response received from the generative artificial intelligence system.