Digital Therapeutic Delivery via Sentiment Vector Parsing
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Solution Overview
Problem
The overreliance on electronic communication leads to impaired emotional and mental health due to the lack of subtle cues and deeper intent in digital messaging, resulting in misunderstandings and addiction, with current solutions focusing on limiting phone usage rather than providing personalized therapeutic content.
Innovation Solution
A method and system that impose a dynamic sentiment vector on electronic messages by parsing emotionally-charged language, using a sentiment value spectrum, and delivering hyper-personalized digital content based on a user's emotional or mental state, ascertained from parsed messages, to enhance communication and mental well-being.
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 subtle aspects of communication and deeper intent are lost or confused
Solution Approach 1:
The patent introduces an intermediary system that analyzes electronic messages and injects emotional context back into the communication. The system acts as a mediator that processes the message content, determines emotional state, and enhances the message with appropriate emotional indicators, thereby recovering the lost subtle aspects of communication without sacrificing the speed of electronic messaging.
2Productivity
If electronic messaging is used for communication, then communication efficiency is improved, but emotional and mental health are impaired due to lack of subtle cues
Solution Approach 1:
The patent implements a feedback mechanism where the system analyzes the emotional content of messages and provides enhanced communication with emotional indicators. This feedback loop allows users to receive not only the literal message content but also the emotional context, thereby maintaining communication efficiency while protecting emotional and mental health by preventing misunderstandings.
3Object-affected harmful factors
If personalized therapeutic content is delivered based on parsed messages, then mental well-being is enhanced, but system complexity increases
Solution Approach 1:
The patent employs self-service principles by utilizing existing electronic messages that users already send and receive as the data source for emotional analysis. The system automatically parses these existing messages, determines emotional state, and delivers personalized therapeutic content without requiring additional user input or complex manual assessment processes, thereby enhancing mental well-being while managing system complexity.
Data Source
AI summary
The system and method delivers a digital therapeutic, specific to an emotional or mental state (EMS) parsed from an electronic message, comprising: an electronic computing device communicatively coupled to a processor. The processor further comprising; an EMS store; a message prescriber; a sentiment vector generator comprising: a parsing module; a coordinate-based sentiment value spectrum comprising one positive to negative-scaled axis and one perpendicular active to passive scaled axis forming a two-dimensional plot of a sentiment value along a positive to negative line (positivity correlate) and an active to passive line (activity correlate). The program executable by the processor and configured to: receive a text input comprising message content from the electronic computing device; parse, at the parsing module, the message content comprised in the text input for emotionally charged language, wherein the parsing module further comprises a semantic layer configured to recognize natural language syntax for conversion into a standardized lexicon; based on the emotionally charged language, plot a sentiment value as a point on the coordinate-based sentiment value spectrum for the text input, wherein the plotted point reflects a two-dimensional sentiment value along the two correlates of positivity and activity for said text input.