AI Data Compression GUI for Layered Article Simplification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in ensuring that users comprehensively review lengthy documents and articles, particularly in digital formats, due to issues like language barriers, accessibility for visually impaired users, and the complexity of terms and conditions.
Innovation Solution
A system and method for generating a graphical user interface (GUI) that utilizes artificial intelligence (AI) to compress and simplify data articles, including translating content into user-preferred languages and formats, shortening text while maintaining semantic meaning, and extracting relevant segments for easier comprehension.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If documents are provided in full detail to ensure complete disclosure, then information completeness is improved, but user comprehension and review efficiency deteriorate due to length and complexity
Solution Approach 1:
The patent segments lengthy documents into multiple sections or chunks that can be individually processed and reviewed. The system divides the document content into manageable portions, allowing users to review specific sections rather than overwhelming them with the entire document at once, thereby maintaining information completeness while improving review efficiency.
Solution Approach 2:
The system extracts key information, important clauses, and essential terms from lengthy documents and presents them separately for user review. This extraction process allows users to focus on critical elements without being burdened by the full document length, ensuring that important information is not lost while significantly improving review efficiency.
2Loss of information
If documents are provided in original language to maintain authenticity, then information accuracy is improved, but accessibility to non-native speakers deteriorates
Solution Approach 1:
The patent introduces translation technology as an intermediary between the original document and the user. The system provides real-time or pre-translated versions of documents in multiple languages, allowing non-native speakers to comprehend content accurately while the original language version remains available for reference, thus maintaining information authenticity while improving accessibility.
3Loss of information
If documents are provided in full text to ensure complete disclosure, then disclosure completeness is improved, but accessibility for visually impaired users deteriorates due to navigation difficulty
Solution Approach 1:
The system segments lengthy documents into smaller, navigable sections with clear headings and structure. For visually impaired users utilizing screen readers, this segmentation allows for more efficient navigation through document portions rather than reading entire lengthy texts sequentially, maintaining complete disclosure while improving accessibility.
Solution Approach 2:
The patent implements preliminary structuring and formatting of documents with clear hierarchical headings, section markers, and organized content structure before presentation to users. This preliminary organization enables screen readers and accessibility tools to navigate and present document content more effectively, maintaining completeness while improving ease of navigation for visually impaired users.
Data Source
AI summary
A system for generating a graphical user interface for prompting layered transformative data article compression by artificial intelligence is configured to generate a second data article by, at least in part, compressing a first data article using a first AI algorithm trained by a machine-learning technique, and send the second data article with instructions to display at least a portion of the second data article at the user device. Compressing the first data article using the AI algorithm includes: generating an interim data article by the AI algorithm translating the first data article in at least one user-profile agnostic iteration; and generating the second data article by the AI algorithm translating the interim data article in at least one user-profile dependent iteration.