Automated Behavioral Activation System Using Sensor Data
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Solution Overview
Problem
Traditional behavioral activation methods for depression and anxiety management are burdensome, prone to user bias, and require frequent in-person therapy sessions, limiting their effectiveness and accessibility.
Innovation Solution
An automated system that senses and tracks user activities and interactions using GPS, motion sensors, and self-assessment data to extract patterns and generate feedback for improving mental health, reducing the need for frequent therapy sessions and enhancing wellbeing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional behavioral activation uses self-monitoring and detailed records, then users can track their behaviors and mood, but the process becomes burdensome and prone to user bias
Solution Approach 1:
The system automatically collects and tracks user behavior data through mobile device sensors and applications without requiring manual self-monitoring. The system serves itself by gathering objective data from GPS, motion sensors, and app usage patterns, eliminating the burden of manual record-keeping while maintaining accurate tracking.
Solution Approach 2:
The patent replaces manual mechanical record-keeping with automated electronic sensing systems. Mobile device sensors (GPS, motion detectors, keyboard monitoring) automatically capture behavior data, substituting the manual process of writing and maintaining detailed records with objective, automated data collection.
2Reliability
If traditional behavioral activation uses in-person therapy sessions, then users receive personalized guidance, but the process becomes costly and time consuming
Solution Approach 1:
The system provides automated behavioral activation guidance through mobile applications and digital platforms, enabling users to receive personalized feedback and interventions without requiring frequent in-person therapy sessions. The system autonomously analyzes data and provides tailored recommendations.
Solution Approach 2:
The system continuously collects behavior data and provides automated feedback to users through mobile devices. This feedback loop enables real-time adjustments to behavioral activation plans without requiring therapist intervention, reducing the frequency and duration of therapy sessions while maintaining effectiveness.
3Ease of operation
If apps only use one or a few data points, then the app remains simple to operate, but the determinations made are not indicative of overall wellbeing patterns
Solution Approach 1:
The mobile application serves multiple functions by simultaneously collecting diverse data types (location, motion, communication patterns, app usage) through various sensors and interfaces. This multi-functional approach allows the system to comprehensively assess wellbeing patterns while maintaining user-friendly operation through a single integrated app.
Solution Approach 2:
The system merges multiple data sources and sensing mechanisms into a unified behavioral activation platform. By combining GPS location data, motion sensor information, communication patterns, and application usage data, the system creates a comprehensive profile of user behavior and wellbeing without requiring separate complex systems.
Data Source
AI summary
A system and method for automated behavioral activation is disclosed. The system and method automatically senses and tracks a user's activities and interactions over the course of a period of time. The tracked information may include sensing data and self-assessment data. In some embodiments, the sensing data may be from one or more sensors such as a global positioning system (GPS), a motion sensor, and a keyboard. The self-assessment data may be information input by the user. The system uses the tracked information to extract one or more user patterns. The system may also use the tracked information to calculate one or more mood balance scores and one or more mood balance indicators. The system then generates and provides feedback based on the pattern(s). The feedback may be used to implement a behavioral change plan, used to change the user's patterns to improve the user's overall wellbeing.