Personalized Emoji Dictionary for Private Emoji-First Messaging
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Solution Overview
Problem
Existing textual communication methods lack engagement and privacy, as they rely on standardized fonts and do not allow for personalized and secure emoji-based messaging.
Innovation Solution
A personalized emoji dictionary is used to convert text to emojis automatically, enabling secure and engaging communication between client devices with customizable emoji libraries that are unique to each user pair, allowing users to send and receive emoji strings that can be converted to text upon request.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large number of emoji are provided to users, then emoji selection diversity is improved, but device memory consumption and processing load increase
Solution Approach 1:
The emoji dictionary is segmented into multiple theme groups (e.g., nature, animals, food, emotions). Each theme group contains a subset of emojis related to that category. Users can select from multiple theme groups rather than one overwhelming comprehensive list, dividing the large dataset into manageable segments that reduce memory consumption while maintaining diversity.
Solution Approach 2:
The patent introduces a dimensional organization structure where emojis are arranged not just by frequency but by thematic categories and contextual relationships. This multi-dimensional arrangement allows users to navigate emojis through different themes and contexts, providing diverse selection options without requiring all emojis to be loaded simultaneously into memory.
2Productivity
If emoji are selected based on frequency of use, then common communication needs are met, but personalized expression requirements are not satisfied
Solution Approach 1:
The emoji selection mechanism is made dynamic by allowing users to customize their favorite emojis within each theme group. The system adapts to individual user preferences by maintaining both frequency-based defaults and user-defined personalizations. This dynamic adjustment enables the system to serve both general communication efficiency needs and individual personalized expression requirements.
Solution Approach 2:
Different parts of the emoji dictionary are optimized for different purposes: high-frequency emojis are positioned for quick access to maintain communication efficiency, while personalized favorite emojis are highlighted and easily accessible for individual expression needs. Each theme group can have different organization strategies based on local usage patterns.
3Loss of energy
If existing emoji are reused, then device resource consumption is reduced, but lack of novel expression options limits user creativity
Solution Approach 1:
The system performs preliminary organization of emojis into thematic groups and contextual categories before user interaction. This pre-structuring allows users to quickly find novel and appropriate emojis without the system needing to generate or load additional emoji resources. The preliminary categorization by themes and contexts enables creative discovery within the existing emoji set, reducing the need for additional emoji resources.
Data Source
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AI summary
A personalized emoji dictionary, such as for use with emoji-first messaging. Text messaging is automatically converted to emojis by an emoji-first application so that only emojis are communicated from one client device to another client device. Each client device has a personalized emoji library of emojis that are mapped to words, which libraries are customizable and unique to the users of the client devices, such that the users can communicate secretly in code. Upon receipt of a string of emojis, a user can select the emoji string to convert to text if desired, for a predetermined period of time.