Document Management Visual Distinction via Color and Pattern Codes
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Solution Overview
Problem
Existing computer systems and interfaces face deficiencies in managing documents, including duplicate document displays across arrays, inadequate representation of document attributes, and inefficient association of attributes with documents, leading to user confusion and increased time in information retrieval.
Innovation Solution
Implementing a method that uses discriminative visual features, color codes, and pattern codes to differentiate documents across arrays, allowing for intuitive document management and association, including the use of bridge attributes to link documents without common attributes, and grouping attributes for efficient search and categorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If documents are displayed on multiple arrays of documents grouped by attributes, then document categorization and retrieval are improved, but user confusion increases due to duplicate document displays
Solution Approach 1:
The patent applies color codes and pattern codes to visually distinguish documents that appear on multiple arrays. When a document is displayed on multiple arrays of documents grouped by different attributes, the system applies distinctive visual markers (colors and patterns) to indicate duplication, allowing users to quickly identify and differentiate duplicate documents without confusion while maintaining efficient document retrieval across multiple categorization views
2Ease of operation
If color codes are used to represent document attributes, then visual document identification is improved, but the ability to convey complex document status and value is insufficient
Solution Approach 1:
The patent combines color codes and pattern codes into a unified visual encoding system. Color codes provide quick visual identification of document attributes, while pattern codes (such as stripes, dots, or geometric patterns) are overlaid or combined with colors to convey additional layers of information including complex document status and value. This merged visual language allows users to infer multiple document characteristics simultaneously through a single visual representation
3Measurement precision
If multiple attributes are individually associated with documents, then document categorization precision is improved, but the time required for attribute association increases
Solution Approach 1:
The patent implements bridge attributes that pre-establish relationships between documents without requiring individual attribute associations for each document pair. Bridge attributes are assigned to documents in advance to create indirect connections, allowing the system to efficiently group and retrieve documents based on these pre-computed relationships. This preliminary action reduces the real-time computational burden and user effort required for document categorization while maintaining high categorization precision
4Adaptability or versatility
If bridge attributes are used to link documents without common attributes, then document connectivity is improved, but system complexity increases
Solution Approach 1:
The patent uses bridge attributes as intermediary elements that connect documents without requiring direct common attributes between them. A bridge attribute acts as a mediator that can be associated with one or more documents, creating indirect relationships. This intermediary approach simplifies the system architecture by providing a standardized mechanism for document connectivity rather than requiring complex many-to-many relationship management, thereby improving adaptability while controlling system complexity
Data Source
AI summary
The document relates to a method for visually indicating on a display those documents that have been displayed a plurality of times on a plurality of axes of documents based on a matching value of an attribute, the method comprising providing a first group of documents at least some of which associated with one or more attributes; displaying documents of the first group of documents along a first axis; receiving an input representing a selected attribute of one of the first group of documents that is associated with one or more attributes; displaying to a second axis documents of the first group of documents that has a value matching the value of the user-selected attribute; and displaying a visual distinctive feature for each displayed document in the first group of documents that is displayed along the second axis, whereby a user is able to visualize which documents displayed along the first axis are also displayed on the second axis for having a value matching the value of the selected attribute. A system and a graphical user interface providing same are also provided.