Sentiment Vector Digital Therapeutics for Communication Clarity
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Solution Overview
Problem
Current electronic communication methods, such as messaging, lack the subtleties of in-person interactions, leading to misunderstandings and negative impacts on emotional and mental health, and there is a need for personalized digital therapeutics to counter the effects of excessive digital usage.
Innovation Solution
A method and system that impose a dynamic sentiment vector on electronic messages based on emotionally-charged language, using a sentiment value spectrum and library to convey sentiments through sensory effects, and deliver personalized digital content tailored to a user's emotional or mental state, leveraging AI and machine learning for hyper-personalized solutions.
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 deeper intent is lost
Solution Approach 1:
The patent introduces an AI-based sentiment analysis intermediary that processes electronic messages to detect and interpret emotional content, tone, and intent. This intermediary system analyzes message characteristics (wording, timing, frequency) and generates sentiment assessments that compensate for the lost non-verbal cues, effectively mediating between the sender's intent and the recipient's understanding.
2Productivity
If electronic communication is overused, then connectivity and information exchange increase, but emotional and mental health deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where AI analysis of communication patterns provides insights into user emotional states and communication health. The system monitors message frequency, timing, and sentiment, then feeds this information back to users through reports and alerts, enabling them to adjust their communication behavior to maintain better emotional and mental health while preserving communication productivity.
3Adaptability or versatility
If personalized digital therapeutics are delivered based on user behavior, then hyper-personalized solutions are achieved, but system complexity increases
Solution Approach 1:
The patent employs self-service principles where the AI system automatically performs behavior analysis, sentiment assessment, and therapeutic content selection without requiring manual user input or configuration. The system autonomously monitors user communication patterns, identifies emotional states, and delivers personalized digital therapeutics based on pre-established algorithms and models, reducing the perceived complexity for users while maintaining high adaptability.
Data Source
AI summary
This invention relates generally to the field of electronic communications and the transmittance of such communications. More specifically, the invention discloses a new and useful method for delivering a therapeutic through an eco-system of digital content based on a user-mapped EMS. The method comprises: receiving a text input comprising message content from an electronic computing device associated with a user; parsing the message content comprised in the text input for emotionally-charged language; assigning a sentiment value, based on the emotionally-charged language, from a dynamic sentiment value spectrum to the text input; and, 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.