Continuous Trace Text Input Across Word Clusters
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Solution Overview
Problem
Existing text input methods on portable electronic devices, such as predictive text systems, restrict system flexibility and require users to review displayed options each time text is entered, leading to disjointed input and limited user interaction.
Innovation Solution
A computer-implemented method that allows users to input text by tracing a continuous input pattern on a touchscreen or cursor, with candidate words refreshed automatically when the pattern corresponds to a predefined gesture or region, enabling seamless selection of words and phrases without returning to a start node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predictive text systems display candidate words for selection, then text input capability is provided, but user interaction becomes disjointed and requires repeated review of displayed options
Solution Approach 1:
The system enables continuous tracing gestures that flow through multiple word clusters without interruption, allowing users to select sequences of words in a single continuous motion rather than repeated discrete selections. This eliminates the need to return to start nodes or review options repeatedly, maintaining continuous input action.
Solution Approach 2:
The display is divided into multiple word clusters arranged spatially, where each cluster contains candidate words. Users can trace through different clusters sequentially to build text, with each cluster representing a segment of the input process. This segmentation allows efficient navigation through vocabulary while maintaining continuous input flow.
2Adaptability or versatility
If separate touch events are used to select different words, then word selection is achieved, but input technique becomes staccato and disjointed
Solution Approach 1:
The system replaces discrete touch events with continuous tracing gestures that move through multiple word clusters. A single continuous gesture can select multiple words by passing through different clusters, eliminating the staccato nature of separate selections and providing smooth, fluid input interaction.
Solution Approach 2:
The system adds spatial dimension to word selection by arranging word clusters in different regions of the display. Instead of selecting words from a single list, users traverse through spatially distributed clusters, adding a dimensional aspect to the selection process that enables more versatile and natural input techniques.
3Adaptability or versatility
If candidate words are displayed in fixed positions, then display simplicity is maintained, but system flexibility is restricted
Solution Approach 1:
The system dynamically arranges and refreshes word clusters based on input context and user interaction. Clusters can be repositioned, refreshed, or updated as users trace through them, allowing the display to adapt to different input scenarios while maintaining overall structural simplicity. This dynamic behavior provides system flexibility without requiring complex fixed arrangements.
Data Source
AI summary
The present invention relates to a computer-implemented method for inputting text into an electronic device (10). The method includes selecting a first set of candidate words stored in a database. At least one of the first set of candidate words is then displayed on a screen (20) for selection by a user. The user generates a continuous input pattern (420; 540) and the method identifies one or more candidate words disposed along or proximal to the continuous input pattern (420; 540). The one or more identified candidate words are then input into a text entry field (430). The method includes refreshing the displayed candidate words when the continuous input pattern (420; 540) traces a predefined refresh gesture or enters/exits a predefined region (545). The present invention also relates to a computing device programmed to perform the method described herein.