AR Headset File Error Visualization
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Solution Overview
Problem
Existing technologies face challenges in efficiently identifying and resolving errors and inconsistencies within complex software applications and documents, particularly in augmented reality environments, where errors may be difficult to notice due to the format and complexity of the data.
Innovation Solution
The system uses a machine learning model to detect errors and inconsistencies within files, particularly in augmented reality environments, by analyzing file data and generating visual indications of associated files, allowing users to quickly identify and resolve issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional two-dimensional displays are used for reviewing files and documents, then the display technology is simple and cost-effective, but the user cannot readily notice inconsistencies or errors that require comparing multiple files
Solution Approach 1:
The patent transitions from traditional two-dimensional displays to three-dimensional augmented reality displays. This dimensional change allows multiple files to be displayed simultaneously in spatial arrangement, enabling users to visually compare related files and readily notice inconsistencies or errors without requiring complex manual comparison processes.
2Reliability
If multiple files are displayed simultaneously on traditional displays, then error comparison becomes possible, but the user interface becomes complex and difficult to navigate
Solution Approach 1:
By displaying multiple files in three-dimensional space rather than requiring complex multi-window arrangements on 2D screens, the system naturally organizes file relationships spatially. Users can easily navigate and compare files by their spatial positioning, making inconsistency detection intuitive without complicating the user interface.
Solution Approach 2:
The augmented reality display serves multiple functions simultaneously: it displays the current document, shows related files for comparison, highlights inconsistencies, and provides contextual information all within a single unified interface, eliminating the need for multiple separate tools or complex navigation.
3Reliability
If runtime logs are displayed in traditional format during software execution, then execution speed is maintained, but errors and inconsistencies are difficult to identify due to rapid display duration
Solution Approach 1:
The system proactively monitors runtime logs during execution and automatically detects errors and inconsistencies before they become difficult to identify. When anomalies are detected, the system immediately highlights them in the augmented reality display, allowing users to identify issues during the brief display duration without needing to review logs after execution completes.
4Productivity
If traditional text-based runtime logs are used, then data processing is efficient, but users are overwhelmed by large numbers of results and may overlook errors
Solution Approach 1:
The system uses color coding to differentiate between various types of log entries, errors, and inconsistencies. Critical errors are highlighted with distinctive colors that stand out against the background, allowing users to quickly scan through large volumes of runtime data and immediately locate important issues without being overwhelmed by the volume of text.
Data Source
AI summary
Displaying visual indications of one or more files that are associated with a file being viewed via an augmented reality headset may be facilitated. In some embodiments, an image of a file being viewed by a user may be received. The system may determine whether a file is associated with a first error indicating an inconsistency between the file and one or more other files related to the file. Based on determining that the file is associated with the first error, the system may retrieve, based on one or more file identifiers corresponding to the one or more other files, one or more other files associated with the inconsistency. The system may then generate for display (i) a visual indicator indicating the first error and (ii) one or more visual indications of the one or more other files associated with the inconsistency.