Interactive Mental Health Entity Generation From Therapy Sessions
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Solution Overview
Problem
Existing mental health therapies lack effective methods for creating visual or audial representations of mental health issues to facilitate deeper engagement and understanding between practitioners and individuals.
Innovation Solution
A method involving audio and/or video recording of therapy sessions, followed by generative analytics to create a mental health issue entity for interactive engagement, allowing individuals to interact with a visual or audial representation of their issues through software-generated entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional talk therapy is used, then therapeutic engagement is maintained, but depth of understanding and engagement with mental health issues is limited
Solution Approach 1:
The patent creates a virtual representation (copy) of the mental health issue that mirrors the individual's psychological state. This virtual entity replicates the issue's characteristics, allowing the individual to interact with a simplified model of their problem, thereby deepening understanding without requiring complex therapeutic interventions.
Solution Approach 2:
The virtual representation acts as an intermediary between the individual and their mental health issue. Instead of directly confronting the abstract and difficult-to-process issue, the individual interacts with the visualized entity, which mediates the therapeutic process and enables deeper engagement through concrete visualization.
2Ease of operation
If visual or audial representations are created, then engagement with mental health issues is enhanced, but technology integration complexity increases
Solution Approach 1:
The patent replaces complex mechanical or manual therapeutic techniques with computational generation of visual and auditory representations. Instead of relying on manual visualization exercises or complex therapeutic tools, the system uses algorithms to automatically generate the representations, simplifying the overall system while enhancing engagement capability.
3Reliability
If therapy sessions are recorded and analyzed, then treatment effectiveness is improved, but privacy and data security concerns increase
Solution Approach 1:
The patent extracts only the essential features and patterns from the therapy session data to create the virtual representation. By taking out only the necessary information and discarding unnecessary details, the system minimizes the amount of sensitive data that needs to be stored and protected, thereby reducing privacy risks while maintaining treatment effectiveness.
Data Source
AI summary
A mental health therapeutic treatment method that employs a mental health issue entity wherein the mental health issue entity is created utilizing generative computer techniques and represent an issue or a mental health issue that an individual desires to treat. The method provides collection of data between a practitioner and an individual wherein the data is input and analyzed in a thematic manner to identify parameters such as but not limited to thought patterns and trends. The software program is executed on computing hardware and provides generation of a mental health issue entity wherein the mental health issue entity is provided in either a visual or audial format via suitable computing equipment such as but not limited to display monitors. The mental health issue entity is provided in an interactive manner wherein the practitioner and individual engage in a therapy session with an interactive mental health issue entity.