Dynamic Data Dependency Explanation Engine
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Solution Overview
Problem
Users of complex applications, such as tax software, face difficulties in understanding interdependencies between form fields and calculations, relying on static help files that become outdated with application modifications.
Innovation Solution
A system and method for dynamically explaining data dependencies within a document, using a user interface with a source section and an explanation engine that displays dependencies between data containers, allowing users to modify values and recalculate explanations in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static help files are used to explain data dependencies, then the explanation content is simple and easy to maintain, but the explanation becomes outdated when the document is modified
Solution Approach 1:
The patent transforms static help files into a dynamic explanation system that automatically updates when the document changes. The explanation engine generates explanations based on current document state, ensuring accuracy remains reliable while adaptability improves through automatic synchronization with document modifications.
Solution Approach 2:
The system performs self-updating by automatically detecting document modifications and regenerating explanations without manual intervention. This self-service mechanism maintains explanation accuracy while eliminating the need for manual updates, thereby improving adaptability.
2Reliability
If manual explanation generation is used, then the explanation content is accurate and tailored, but the process is time-consuming and labor-intensive
Solution Approach 1:
The explanation engine automatically generates explanations by analyzing the document structure and data dependencies, eliminating manual writing tasks. This self-service approach maintains accuracy through systematic analysis while dramatically improving productivity by generating explanations instantly rather than requiring manual authoring.
Solution Approach 2:
The patent replaces manual explanation writing with an automated computational system. The explanation engine uses algorithms to analyze document dependencies and generate explanations mechanically, substituting human labor with an automated process that maintains accuracy while significantly increasing generation speed.
3Ease of operation
If detailed dependency explanations are provided, then user understanding improves, but the system complexity increases
Solution Approach 1:
The patent extracts only the necessary dependency information relevant to each data container and presents it through the explanation engine. This extraction approach provides detailed explanations for user understanding while managing system complexity by focusing computational resources only on generating explanations for actually used dependencies rather than all possible dependencies.
Solution Approach 2:
The system segments the explanation process by generating explanations for individual data containers independently through the explanation engine. This segmentation allows detailed explanations to be provided for each container without overwhelming system complexity, as each explanation is generated separately based on its specific dependencies rather than attempting to explain the entire document at once.
Data Source
AI summary
A method for reviewing data dependencies in a document that includes requesting an explanation of a dependent data container in a plurality of data containers, in which the dependent data container resides within a document, and receiving the explanation of the dependent data container, in which the explanation that includes information about the dependent data container and information about a precedent data container of the plurality of data containers, and in which the information describes the dependency between the precedent data container and the dependent data container.