Behavioral Health Therapy Tool With Biometric Arousal Detection
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Solution Overview
Problem
Existing technologies fail to effectively address internet addiction by detecting and modifying problematic online behaviors, as they either lack physiological changes detection or require user compliance, and do not provide actionable therapies to improve mental health outcomes.
Innovation Solution
A system combining internet content monitoring, biometric sensors, and a dashboard to track and manage user arousal levels, providing therapeutic interventions to modify behavior and improve mental health outcomes, while ensuring compliance with privacy regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric sensors are used to detect physiological changes, then measurement precision of arousal levels is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple biometric sensors (heart rate, galvanic skin response, respiratory rate) into a single integrated monitoring system that collectively detects arousal levels. This merging approach improves measurement precision through multi-parameter detection while managing device complexity by consolidating sensor data processing into a unified system architecture.
Solution Approach 2:
The biometric monitoring system is designed to detect multiple physiological parameters (heart rate, GSR, respiratory rate) simultaneously using a single integrated platform. This multi-functionality allows the system to comprehensively assess arousal levels across different physiological dimensions, improving measurement accuracy without proportionally increasing system complexity.
2Productivity
If content monitoring and biometric tracking are implemented, then productivity of behavior modification is improved, but loss of information regarding user privacy increases
Solution Approach 1:
The system applies differential privacy protection to different types of data. Content identifiers and behavioral patterns are monitored in detail for therapy effectiveness, while personally identifiable information receives enhanced privacy protection. This local quality approach allows the system to maintain productivity in behavior modification while selectively protecting user privacy based on data sensitivity.
Solution Approach 2:
The system introduces aggregated statistical data as an intermediary between detailed biometric monitoring and privacy protection. Instead of directly exposing raw biometric data, the system processes individual measurements into aggregated patterns that preserve therapeutic insights while obscuring individual user identities, thus maintaining productivity while reducing privacy loss.
3Reliability
If multiple biometric sensors are integrated, then reliability of arousal detection is improved, but device complexity increases
Solution Approach 1:
The system implements cross-validation feedback mechanisms where multiple biometric sensors monitor each other's data quality and consistency. When one sensor detects potential errors or anomalies, the system uses feedback from other sensors to verify or correct measurements, thereby improving reliability. This feedback loop manages complexity by establishing systematic validation protocols rather than requiring complex individual sensor designs.
Solution Approach 2:
The patent combines multiple types of biometric sensors (photoplethysmography, galvanic skin response, respiratory rate sensors) into a composite monitoring system. Each sensor type detects different physiological aspects of arousal, and their combined output creates a more reliable overall measurement. This composite approach improves reliability by diversifying detection methods while managing complexity through modular sensor integration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system significantly reduces problematic internet behaviors, enhances user self-esteem and health, and improves executive functioning by leveraging biometric data to provide actionable therapies and interventions.
Implementation Method 1
the at least one biometric sensor comprises one or more sensors is selected from the list consisting of photoplethysmography (PPG) sensor
Implementation Method 2
the at least one biometric sensor comprises one or more sensors is selected from the list consisting of photoplethysmography (PPG) sensor, remote photoplethysmography (rPPG) sensor, respiratory rate (RR) sensor, heart rate (HR) sensor, blood oxygen saturation (SpO2) sensor, blood pressure (BP) sensor, and galvanic skin response (GSR) sensor
Data Source
AI summary
A system for online behavior modification of a user having an internet-connected device, a content monitor recording content identifiers of internet content accessed under the control of the user, at least one biometric sensor of the user concurrent with accessing the internet content, a server receiving content identifiers conditions associated with the user, an arousal detection filter configured to determine a level of arousal of the user associated with accessing internet content identified by the content identifiers, and an activity logger configured to record into a user activity log stored in computer-readable memory the declared level of arousal and the identifiers.