Input Method Candidate Word Display Adaptation
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Solution Overview
Problem
Current input methods on intelligent terminals do not effectively improve user efficiency as they often recommend either frequently used words or toolbars, which may not be relevant to individual users, leading to inefficiencies in information entry.
Innovation Solution
A graphical user interface that dynamically adjusts the default candidate option area based on the application type, dimension information, and clipboard content, ensuring that recommended words are contextually relevant and frequently used, thereby enhancing user efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the default candidate option area recommends frequently used words based on general statistics, then the candidate words are universally applicable, but they may not be relevant to individual users or specific application contexts
Solution Approach 1:
The candidate option area dynamically changes its content based on the application context and user behavior. The system transitions from static general recommendations to dynamic context-aware recommendations by detecting application types and adjusting candidate words accordingly, resolving the contradiction between universality and adaptability
Solution Approach 2:
The system pre-judges the application type before the user inputs text, and prepares context-relevant candidate words in advance. This preliminary classification allows the system to provide personalized recommendations without waiting for user input, improving adaptability while maintaining efficiency
2Ease of operation
If the default candidate option area displays toolbar options, then the input method functions are accessible, but the toolbar is not frequently used and does not improve information entry efficiency
Solution Approach 1:
The patent extracts the most relevant candidate words from the full toolbar and displays only them in the default candidate option area. This extraction of essential elements from the complete toolbar resolves the contradiction by providing frequently needed functionality without the clutter of rarely used options
Solution Approach 2:
Different applications receive different customized candidate word recommendations rather than a uniform toolbar display. The system applies local quality by tailoring the candidate option content to specific application contexts, improving both ease of operation and productivity simultaneously
3Productivity
If the candidate option area is customized for different applications, then user efficiency is improved, but the system complexity increases
Solution Approach 1:
The patent creates a universal classification system that handles multiple application types through a unified framework. By establishing general categories (chat, map, commodity, audio/video, application market) with standardized candidate word pools for each, the system achieves multi-functionality without proportionally increasing complexity
Solution Approach 2:
The system performs preliminary classification of application types and pre-organizes candidate word pools for each category before user input is needed. This advance preparation eliminates the need for complex real-time analysis during typing, improving productivity while keeping the system architecture manageable
Data Source
AI summary
Embodiments of the present invention relate to the field of terminal technologies, and provide a method and an apparatus for displaying a candidate word, and a graphical user interface to improve efficiency of a user in entering information by using an input method. The method is applied to a scenario in which a user enters information by using an input method. The method includes: determining a type of an application that invokes the input method; determining, according to the type, dimension information corresponding to the type; determining, according to the dimension information, a lexicon corresponding to the dimension information; and displaying, in a default candidate option area of the input method, at least one candidate word that is in the lexicon and meets a preset condition.