Text Editing Interface for Portable Devices
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Solution Overview
Problem
Conventional text editing on portable electronic devices is cumbersome and inefficient, particularly when correcting single characters or words, as users often require multiple inputs and gestures, and existing OCR technologies struggle with accuracy due to image quality and variability in source text.
Innovation Solution
Implementing a character editing mode and word editing mode that allow users to select characters or words for correction with minimal commands or gestures, with automatic determination of likely erroneous characters or words, and presenting replacement candidates based on probability analyses and image processing techniques, reducing the need for user input and enhancing editing precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional text editing approaches are used on portable devices, then users can edit text, but the number of user inputs required increases and editing efficiency decreases
Solution Approach 1:
The system performs preliminary actions by automatically determining likely erroneous characters or words before user selection, and pre-generating replacement candidates based on probability analyses. This reduces the number of user inputs needed and accelerates the editing process.
Solution Approach 2:
The system provides self-service by automatically identifying errors and presenting replacement candidates without requiring extensive user guidance. The automatic determination of erroneous elements and generation of corrections allows the system to serve itself in the error detection and correction process.
2Measurement precision
If conventional OCR technologies are used, then text can be recognized from images, but accuracy decreases due to image quality and variability in source text
Solution Approach 1:
The system uses feedback by analyzing the confidence levels of OCR results and adjusting its behavior accordingly. When confidence is low, the system highlights uncertain characters for user review. This feedback mechanism allows the system to adapt to image quality variations and maintain high accuracy.
Solution Approach 2:
The system changes parameters by dynamically adjusting the threshold for character error probability and modifying the presentation of replacement candidates based on the specific image quality and text characteristics. This adaptive parameter adjustment optimizes OCR accuracy across varying conditions.
3Ease of operation
If a full keyboard is displayed on the device screen, then text input is possible, but the display area for text editing is substantially limited
Solution Approach 1:
The system extracts the keyboard function from the display area by using voice-activated corrections and contextual menu options. Instead of displaying a full keyboard, the system extracts the essential correction function and implements it through alternative interfaces that preserve display space for the text being edited.
Solution Approach 2:
The system achieves multi-functionality by enabling text correction through multiple methods including voice commands, contextual menus, and automatic suggestions. This universality allows text editing functionality to be maintained without requiring a dedicated keyboard display, thus preserving display area.
Data Source
AI summary
Certain text editing techniques are provided to enable the user to select a few characters or words from an original collection of text by a limited number of user inputs, such as by touching or swiping a character or word to be edited. Options for probable edits of the original text can be automatically presented to the user in a manner that also only requires a minimal number of user inputs. Such techniques may facilitate text editing that is easier and more convenient for users of portable electronic devices. These techniques may be particularly advantageous for enabling editing of text acquired from an optical character recognition (OCR) process on any computing device. Other text editing shortcuts and similar approaches are also described.