Image Prediction Suppression for Emoji Input Efficiency
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Solution Overview
Problem
Users face difficulties in inputting emojis on computing devices due to the need to navigate through numerous options, making it time-consuming to find and select the desired emoji.
Innovation Solution
A computing device with a memory storing indicators of image use, a user interface, and a processor that triggers image predictions and suppresses them based on these indicators, allowing for automatic control of emoji availability and frequency, reducing the burden on users by dynamically adjusting candidate image predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system provides a large number of emoji candidates for user selection, then the completeness and variety of emoji options are improved, but the time and effort required for users to find and select the desired emoji increases
Solution Approach 1:
The system performs preliminary actions by predicting and pre-selecting a limited number of most relevant emoji candidates based on user input context before the user needs to select. This reduces the search space from thousands of emojis to just a few highly probable candidates, solving the contradiction between variety and selection time.
Solution Approach 2:
The patent replaces the manual mechanical search process (user scrolling through emoji lists) with an automated prediction system using machine learning models. The system automatically ranks and presents emoji candidates based on contextual analysis, substituting user effort with computational intelligence.
2Adaptability or versatility
If the system displays many candidate images for selection, then the completeness of image options is improved, but the complexity of the user interface and difficulty of navigation increase
Solution Approach 1:
The system extracts only the most relevant emoji candidates from the complete set of available emojis, presenting a filtered subset to the user. This extraction process removes unnecessary options that would increase interface complexity while maintaining the essential variety needed for user expression.
Solution Approach 2:
The patent applies local quality by making different parts of the emoji selection interface have different properties - the predicted candidate emojis receive prominent display with larger size and better positioning, while less relevant options are either hidden or given minimal visibility. This creates a hierarchical structure that reduces perceived complexity.
3Productivity
If the system automatically suppresses emoji prediction based on usage indicators, then the efficiency of text input is improved, but the adaptability to user needs may be reduced
Solution Approach 1:
The system implements feedback mechanisms by monitoring user interactions with emoji predictions (selections, rejections, modifications) and using this feedback to adjust future predictions. The usage indicators are dynamically updated based on actual user behavior, allowing the system to adapt to individual user preferences while maintaining overall input efficiency.
Solution Approach 2:
The patent makes the emoji suppression mechanism dynamic rather than static. The suppression level adjusts in real-time based on contextual factors and user behavior patterns. The system can dynamically switch between suppressing emoji predictions entirely in certain contexts versus actively suggesting emojis in other contexts, balancing efficiency and adaptability.
Data Source
AI summary
A computing device is described which has a memory storing at least one indicator of image use; a user interface which receives user input; and a processor configured to trigger prediction, from the user input, of a plurality of candidate images for input to the computing device. The processor is configured to at least partially suppress the prediction of the plurality of images using the indicator of image use.