Adapted User Interface for Seamless Autocorrection and Review Insights
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Solution Overview
Problem
Traditional autocorrection technologies in document editing applications lack contextual analysis and user interface feedback, leading to inefficiencies and reduced user awareness of applied corrections, resulting in repeated errors and decreased productivity.
Innovation Solution
The implementation of an adapted user interface that selectively applies autocorrections and provides real-time feedback through a user interface menu, allowing users to review and reverse changes, with features such as confidence scoring and customizable autocorrection settings, enhancing user understanding and control over the correction process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional autocorrection is applied without user interface feedback, then processing efficiency is improved, but user awareness of corrections is reduced leading to repeated errors
Solution Approach 1:
The patent implements a user interface menu that provides feedback to users about autocorrections made to their document. The menu displays correction insights including the type of correction applied, the original text, and the corrected text, allowing users to understand what changes were made while maintaining efficient automated correction processing
2Adaptability or versatility
If traditional autocorrection mechanisms are used, then simple spelling errors can be corrected, but deeper contextual analysis is not performed limiting the type of correction
Solution Approach 1:
The system performs preliminary contextual analysis of the document text before applying autocorrections. By analyzing the context in advance, the system can determine the appropriate type of correction needed (spelling, grammar, style, etc.) and select the most suitable correction from multiple candidates, enabling versatile correction types without requiring complex real-time processing
3Productivity
If autocorrection is applied automatically without user review, then productivity is improved, but users cannot understand or reverse the corrections made
Solution Approach 1:
The user interface menu provides comprehensive feedback about each autocorrection made, including the correction type, original text, and corrected text. This allows users to understand what changes were applied while maintaining high productivity through automated correction
Solution Approach 2:
The user interface menu acts as an intermediary between the automated autocorrection system and the user. It mediates by presenting correction information in an accessible format and providing controls for users to review and reverse corrections if needed, bridging the gap between automated efficiency and user control
4Measurement precision
If traditional user interface for error correction is used, then users can manually investigate and select corrections, but users spend excessive time proving documents
Solution Approach 1:
The system performs self-service by automatically analyzing the document, identifying errors, selecting appropriate corrections from multiple candidates, and applying them without requiring user intervention for each correction. This maintains high correction accuracy through contextual analysis while dramatically reducing the time users spend on proofing
Data Source
AI summary
The present disclosure relates to processing operations configured to provide, through an adapted user interface of an application/service, seamless application of autocorrection for an electronic document and provision of review insights into the autocorrections. In addition to applying autocorrections, processing described herein selectively determines when to apply an autocorrection (e.g., while a user is entering an input or after) and further highlights autocorrections, through a user interface, in a manner that instantly lets a user know that an autocorrection has occurred and/or what type of autocorrection is being applied. Moreover, an adapted user interface provides user interface features than enable access to an intelligent user interface menu that provides a user with feedback mechanisms to better understand the types of autocorrections that were made to their electronic document as well as improve processing efficiency for reversing an autocorrection and/or making further autocorrection changes to an electronic document.


