Dynamic Sentiment Vector Injection for Emotional Nuance in Messaging
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Solution Overview
Problem
Current electronic communication methods lack the ability to effectively convey subtle aspects of communication and emotional states, leading to misunderstandings and negative impacts on mental and emotional health due to the absence of non-verbal cues, and there is a need for personalized digital therapeutics to counteract the negative effects of digital ubiquity.
Innovation Solution
A method and system that impose a dynamic sentiment vector on electronic messages by analyzing emotionally-charged language and user inputs, such as facial expressions, to deliver personalized digital content that enhances communication and provides therapeutic value, using AI and machine learning for hyper-personalized responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If electronic messaging is used for communication, then instant delivery and limitless distance connectivity are achieved, but the ability to convey subtle aspects of communication and emotional states is lost
Solution Approach 1:
The patent introduces an intermediary system that analyzes electronic messages and injects synthetic non-verbal cues (emoticons, emojis, sentiment indicators) to compensate for the loss of facial expressions, tone, and body language. This intermediary layer bridges the gap between text-based communication and rich emotional conveyance.
Solution Approach 2:
The system changes the parameters of electronic communication by adding emotional dimension parameters (sentiment scores, emotional state indicators, confidence levels) to traditional text messages, transforming plain text into emotionally-enriched communication that conveys subtle aspects of intent and feeling.
2Reliability
If personalized digital therapeutics are delivered based on user emotional states, then mental and emotional well-being is improved, but system complexity increases
Solution Approach 1:
The patent segments the therapeutic delivery system into modular components: emotional state detection module, content selection module, and delivery module. This segmentation allows complex therapeutic interventions to be built from simpler, interchangeable components, managing system complexity while maintaining effectiveness.
Solution Approach 2:
The system incorporates self-service mechanisms where users can manually input their emotional states or select from pre-defined emotional categories, reducing the need for complex automated detection algorithms while still enabling personalized therapeutic content delivery.
3Loss of information
If dynamic sentiment vectors are imposed on electronic messages, then emotional nuances are conveyed, but processing time and computational resources increase
Solution Approach 1:
The system applies partial action by analyzing only key sentiment indicators and emotionally-charged words in messages rather than performing exhaustive linguistic analysis. This selective approach captures essential emotional nuances while minimizing processing time and computational overhead.
Solution Approach 2:
The patent employs lightweight, pre-computed sentiment analysis models and emoji/sentiment mappings that can be rapidly applied to messages without requiring heavy computational resources. These simplified representations serve as disposable, fast-processing alternatives to complex emotional analysis.
Data Source
AI summary
The current invention describes a method and system for imposing a dynamic sentiment vector to an electronic message. In one embodiment of the invention, the method comprises of receiving a text input comprising message content from an electronic computing device associated with a user. The message content is further parsed and comprised in the text input for emotionally-charged language, assigned a sentiment value, based on the emotionally-charged language, from a dynamic sentiment value spectrum to the text input. Additionally, based on the sentiment value, imposing a sentiment vector, corresponding to the assigned sentiment value, to the text input, the imposed sentiment vector rendering a sensory effect on the message content designed to convey a corresponding sentiment.