Context-Sensitive Predictive Text Input for Compact Devices
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Solution Overview
Problem
Existing text input methods for devices without letter/character keys, such as miniature computers and portable devices, are inefficient as they require a large number of keystrokes to enter text, and existing predictive text systems are not effectively applicable to these devices.
Innovation Solution
A context-sensitive predictive text input method that uses a user interface with a joystick, four-way rocker, or direction keys to minimize keystrokes by predicting and displaying candidate words based on the preceding text context, with relevance scores and dynamic grouping to facilitate quick selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a full QWERTY keyboard is used, then text input speed is improved, but device size and complexity increase
Solution Approach 1:
The system performs preliminary action by predicting candidate words before the user completes typing, displaying them in advance for selection. This allows the user to select from pre-computed candidates rather than typing each character, significantly reducing keystrokes while maintaining compact device design.
Solution Approach 2:
The patent introduces an intermediary prediction system that acts as a mediator between the user and the text input process. The system generates and displays candidate words based on partial input, serving as an intermediate step that reduces the direct mapping between keystrokes and final text output.
2Productivity
If predictive text candidates are displayed, then text input efficiency is improved, but display complexity and processing requirements increase
Solution Approach 1:
The system applies partial action by displaying only a limited number of top candidate words (e.g., top 3-5 candidates) rather than all possible matches. This partial display approach provides sufficient prediction assistance while keeping the display interface simple and the processing requirements manageable for portable devices.
3Productivity
If context-sensitive prediction is implemented, then keystroke reduction is improved, but algorithm complexity increases
Solution Approach 1:
The prediction algorithm performs preliminary computation of candidate words based on the input context before the user needs to select. By pre-computing and ranking candidates based on statistical models and dictionary lookups, the system reduces the complexity of real-time processing while maintaining high prediction accuracy.
Data Source
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Figure 3a~3c
AI summary
The invention relates to a method and device incorporating an improved text input mechanism. The text input method comprising the steps determining a list of candidates for the present context, a candidate being a possible textual continuation of the present context and having a relevance score assigned; arranging the candidates in groups, each group having a group designator; displaying the group designators; prompting the user to select a group and receiving the user selection; displaying candidates of the selected group, the displayed candidates being arranged according to their respective scores; prompting the user to select a candidate and receiving the user selection; accepting the selected candidate as text input and updating the context.