Summary Data Autofill in Document Applications
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Solution Overview
Problem
Conventional document applications lack an efficient mechanism for automatically generating and integrating summaries of data, making it difficult for users to quickly summarize and present data in a summarized form within documents.
Innovation Solution
A system that includes an aggregation determination module to analyze data for summarization potential and an aggregator to generate suggested complete summaries, which can be previewed and accepted by users, with the option to convert the summary into a pivot table format, and updates based on confidence levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional document applications are used to summarize data, then data can be recorded and presented, but the process requires significant manual effort and time
Solution Approach 1:
The system enables data to summarize itself by automatically detecting summary patterns in user input and generating complete summaries without requiring manual intervention. The application monitors user typing and autonomously creates pivot table structures based on detected summarization intent.
Solution Approach 2:
The system performs preliminary analysis of user input to detect summarization patterns before the user completes the summary. By identifying summary intent early in the typing process, the system can prepare and present preview structures in advance, reducing the overall time required for data summarization.
2Ease of operation
If manual summarization methods are used, then users have control over the summary process, but the complexity of creating and integrating summaries increases
Solution Approach 1:
The application automatically detects when a user intends to create a summary by analyzing input patterns, eliminating the need for users to manually configure summary parameters or select data ranges. The system self-configures the summarization process based on detected patterns.
Solution Approach 2:
The system provides real-time feedback to users by displaying preview structures of detected summaries as the user types. This feedback mechanism allows users to verify the detected summary intent and make corrections if needed, simplifying the operation while maintaining control.
3Productivity
If automatic summary generation is implemented, then productivity improves, but the reliability of accurately detecting user summarization intent may decrease
Solution Approach 1:
The system performs preliminary detection of summary patterns during the user's typing process, allowing time to analyze the input and determine whether summarization is intended before finalizing the summary. This early detection approach improves accuracy by considering the full context of user intent.
Solution Approach 2:
The system provides feedback to users by displaying preview structures of detected summaries, allowing users to verify and correct the detected intent. This feedback loop ensures high reliability by giving users final control over whether the detected summary pattern reflects their actual intent.
4Loss of information
If summaries are manually created and integrated into documents, then data presentation can be achieved, but the time required for data processing increases
Solution Approach 1:
The system automatically generates and integrates summary structures into the document without requiring manual data processing or integration steps. The application self-manages the entire process from detection to integration, eliminating time losses associated with manual operations.
Solution Approach 2:
The system prepares summary structures in advance by detecting patterns during user input and generating preview structures before final integration. This preliminary preparation reduces the time required for data processing and integration by having summaries ready when needed.
Data Source
AI summary
Technologies are described herein for summary data autofill. A device executes an application program configured to receive data input. The application program may determine a portion of the data may be aggregated or conducive to being summarized. Upon the detection of a user input of additional data into a document having data contained therein, the application program may display a suggested complete summary of the data. An input may be received to accept the suggested complete summary, whereby the manner in which the suggested complete summary is displayed may be changed to indicate the acceptance of the suggested complete summary. A confidence level that the suggested complete summary is a correct summary of the data may be determined. The confidence level may be adjusted based on further input of data or additional data.