Distributed Relationship Counseling System with Physiological Analysis
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Solution Overview
Problem
Current relationship counseling systems are limited by their reliance on human supervision, high costs, and failure to leverage advancements in distributed computer systems, electronic communications, and pattern recognition technologies, resulting in limited availability and inefficiency.
Innovation Solution
A semi-automated, distributed, interactive relationship counseling system utilizing two video-enabled electronic devices and a server computer system, which records and analyzes real-time video, audio, and physiological signals to provide counseling feedback, employing machine learning and pattern recognition for relationship diagnosis and improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human-supervised relationship counseling systems are used, then counseling quality and reliability are maintained, but system cost and operational complexity increase significantly
Solution Approach 1:
The system divides counseling functionality into modular components: video/audio capture modules, physiological sensor modules, machine learning analysis modules, and feedback generation modules. Each module operates independently but contributes to the overall counseling process, allowing automated analysis while maintaining systematic quality control without requiring constant human supervision of all system aspects.
Solution Approach 2:
The patent introduces an automated analysis system that acts as an intermediary between the participants and human counselors. This intermediary processes video, audio, and physiological data using machine learning algorithms to generate preliminary assessments and recommendations, which then inform human counselor decisions, reducing their supervisory burden while maintaining quality.
2Reliability
If human-supervised relationship counseling systems are used, then counseling effectiveness is ensured, but system availability and accessibility decrease
Solution Approach 1:
The system enables participants to conduct self-monitored counseling sessions using automated analysis of their video, audio, and physiological data. The machine learning algorithms provide immediate feedback and assessments without requiring real-time human counselor involvement, making the system available 24/7 while maintaining effectiveness through automated quality control mechanisms.
Solution Approach 2:
The system performs preliminary analysis of relationship dynamics, communication patterns, and emotional states using machine learning algorithms before human counselors review cases. This preliminary action filters and prioritizes cases needing human attention, ensuring effective use of counselor time while maintaining broad system availability for automated sessions.
3Ease of operation
If traditional counseling systems are used, then personalized attention is provided, but cost and resource requirements increase
Solution Approach 1:
The system uses machine learning algorithms to analyze multiple parameters simultaneously (video facial expressions, audio tone and content, physiological signals) to generate personalized assessments and recommendations. This multi-parameter analysis provides customized counseling insights at scale without requiring proportional increases in human counselor resources.
Solution Approach 2:
The system creates digital copies of counseling sessions through automated recording and analysis of video, audio, and physiological data. These digital copies can be reviewed, analyzed, and used for multiple purposes (immediate feedback, counselor review, progress tracking) without requiring additional human counselor time for each review, reducing resource requirements while maintaining personalized attention quality.
Data Source
AI summary
The current document is directed to a semi-automated, distributed, interactive relationship-counseling system. The currently disclosed interactive relationship-counseling system employs, in one configuration, two smart phones, tablets, or other personal, processor-controlled, video-enabled electronic devices and one or more server computer systems. A relationship-counseling session, in a disclosed implementation, includes a discussion, by two participants, during which the participants are isolated from one another physically, but during which each participant hears and views a real-time video of his or her partner participant on his or her video-enabled electronic device. During the discussion, each participant may be monitored by one or more physiological sensors. This stored data, along with additional input data provided by each participant when viewing a playback of the discussion, is used by analysis and processing subsystems within the server computer system to identify, evaluate, and diagnose aspects of the relationship between the two participants, following which the participants may receive reports, counseling, advice, and other information to assist the participants in understanding and improving the relationship.