Auto-Commit Buffer for Touch Screen Text Input
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Solution Overview
Problem
Current mobile devices with touch screens face challenges in text input efficiency and accuracy due to cramped keyboard layouts and lack of tactile feedback, leading to slower and error-prone text entry, especially when distinguishing between characters and words.
Innovation Solution
A linguistically aided auto-commit system for handwriting recognition user interfaces that uses an editable buffer to analyze user input and automatically determine when to commit characters or words without requiring space gestures, leveraging linguistic knowledge to improve recognition and reduce user input errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If a touch screen keyboard is used to reduce device size, then device portability is improved, but tactile feedback is reduced leading to input errors
Solution Approach 1:
The system segments the text input process into character-level recognition units, allowing the recognition engine to analyze and identify individual characters or words independently within the continuous handwriting input, improving accuracy without requiring physical separation
Solution Approach 2:
The system provides visual feedback by displaying recognized characters or words on the screen as they are identified during handwriting input, allowing users to see real-time recognition results and correct errors, thereby compensating for the lack of tactile feedback
2Measurement precision
If a commit button or space gesture is required to finalize character input, then character boundary detection is improved, but text entry speed is reduced
Solution Approach 1:
The system performs automatic word segmentation and character boundary detection without requiring user intervention. The recognition engine autonomously identifies when one character or word ends and another begins, eliminating the need for commit buttons or space gestures
Solution Approach 2:
The system replaces the mechanical action of pressing a commit button or inserting space characters with an automated recognition process that uses linguistic knowledge and pattern recognition to automatically determine character boundaries
3Extent of automation
If a time-out or pause mechanism is used to detect character boundaries, then automatic character recognition is improved, but input speed is decreased
Solution Approach 1:
The system performs preliminary analysis of handwriting input patterns, stroke characteristics, and linguistic context in real-time to predict and identify character boundaries before the user completes their input, eliminating the need for time-out delays
Solution Approach 2:
The system replaces the time-based pause mechanism with an intelligent recognition system that uses linguistic knowledge bases and pattern recognition to automatically and instantly determine character boundaries based on the content and context of the input
Data Source
AI summary
A system and method for receiving character input from a user includes a programmed processor that receives inputs from the user and disambiguates the inputs to present character sequence choices corresponding to the input characters. In one embodiment, a first character input is received and a corresponding first recognized character is stored in a temporary storage buffer and displayed to the user for editing. After a predetermined number of subsequent input characters and/or predetermined amount of time without being edited, the system determines that the first recognized character is the intended character input by the user and removes the first recognized character from the buffer, thereby inhibiting future editing.