Text Animation Playback for Low-Resource Message Effects
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Solution Overview
Problem
Existing messaging applications lack the ability to format text with dynamic and static effects, limiting user interaction and expression in text messages.
Innovation Solution
Implementing pattern matching, natural language processing (NLP), and machine learning models (MLM) to analyze and apply effects to words in text messages, allowing users to select or automatically apply effects based on context and user preferences, with mechanisms to manage resource usage and animation without separate user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If text animation effects are implemented in messaging applications, then user expression and interaction are enhanced, but processing and resource demands increase
Solution Approach 1:
The text processing system is segmented into multiple components: pattern matching engine, NLP processor, MLM analyzer, and animation effect renderer. Each component handles specific aspects of text analysis and effect application independently, allowing for optimized resource allocation and parallel processing of different text elements.
Solution Approach 2:
The system performs preliminary analysis of text input using pattern matching, NLP, and MLM to identify candidate words for animation effects before the user sends the message. This preliminary processing allows effects to be pre-configured and optimized, reducing the computational burden during message transmission and display.
2Ease of operation
If automatic effect application is implemented based on NLP and MLM, then user interaction is simplified, but system complexity increases
Solution Approach 1:
The system automatically analyzes user input using NLP and MLM to identify words that would benefit from animation effects, and can automatically apply appropriate effects without requiring user intervention. The system serves itself by making intelligent decisions about effect application based on contextual understanding of the message content.
Solution Approach 2:
The patent introduces an intermediary layer between the user and the animation effects - a sophisticated text analysis system comprising pattern matching, NLP, and MLM components. This intermediary automatically processes user input, determines appropriate effects, and manages the complexity of effect selection and application, shielding the user from the underlying system complexity.
3Adaptability or versatility
If multiple animation effects are applied to text messages, then user expression is enhanced, but message transmission and rendering time increase
Solution Approach 1:
The system applies animation effects selectively to only certain words or phrases within a message that are identified as candidates through pattern matching, NLP, and MLM analysis. Rather than applying effects to entire messages or all text elements, the system performs partial action on specific substrings, reducing the overall processing and transmission time while still enhancing user expression where appropriate.
Data Source
AI summary
Aspects of the subject technology provide for applying text effects to a text input or to a received message. The text effects applied to a text input may be applied automatically based on one or more words entered as text input. The text effects may be suggested. The text effects may be applied using an effects menu. Playback of text effects in a message transcript include animating text effects in succession from a start of a transcript or a start of a newly received message until the end of the transcript or message. Playback may be repeated after a delay which can be lengthened with each repetition.