Text Input Method Using Slide Gesture for Predicted Text Selection
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Solution Overview
Problem
Current text input methods on terminal devices are inefficient as users cannot quickly select a desired word from predicted options, often requiring manual input or deletion of unwanted predictions, leading to low input efficiency.
Innovation Solution
A text input method that uses a slide gesture operation to select a predicted text from a subset of phrases or sentences, allowing users to input the selected text into a text input window, with features like mark lines and highlight display to facilitate quick word input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system displays predicted text options for user selection, then text input speed is improved, but when the desired word is only partially matched in predictions, the user must manually input or delete text, reducing input efficiency
Solution Approach 1:
The predicted text set is divided into multiple subsets, each containing different types of predicted content (words, phrases, sentences). Users can selectively access different subsets based on their needs, allowing precise selection of desired text portions without manual deletion or reinput.
Solution Approach 2:
The patent introduces a new dimension of text selection by allowing users to not only select complete predicted texts but also to extract and input specific portions (words, phrases, or sentences) from within predicted text subsets. This multi-level selection capability resolves the contradiction by enabling efficient partial text selection.
2Adaptability or versatility
If the system provides multiple predicted text options, then text input versatility is improved, but the complexity of selecting the desired text increases
Solution Approach 1:
The predicted text set is segmented into multiple organized subsets (words, phrases, sentences), each with clear structural boundaries. This segmentation reduces selection complexity by allowing users to target specific subset types rather than searching through a monolithic list of predictions.
Solution Approach 2:
Different subsets of predicted text are provided with differentiated characteristics and organization. Each subset has its own structure and selection rules, allowing users to apply different selection strategies based on the subset type, thereby managing complexity through localized selection protocols.
Data Source
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AI summary
The present invention relates to a text input method and apparatus, and a terminal. The method includes: acquiring a text input instruction that is generated by performing a first operation by a user, and presenting an input text according to the text input instruction; querying a text prediction database according to the input text, to acquire a predicted text set corresponding to the input text, and presenting the predicted text set corresponding to the input text, where the predicted text set is a set of phrases or sentences; acquiring a predicted text selection instruction that is generated by performing a second operation by the user, and acquiring a predicted text in a subset of the predicted text set according to the predicted text selection instruction, where the predicted text is a field in the subset of the predicted text set; and acquiring a predicted text input instruction that is generated by performing a third operation by the user, and inputting the predicted text into a text input window according to the predicted text input instruction. The technical solutions provided in embodiments of the present invention implement quick text input and improve input efficiency.