Stress Management System for Interpersonal Stress Detection
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Solution Overview
Problem
Existing stress management systems fail to accurately differentiate between psychological stress caused by emotions and interpersonal stress, leading to incorrect identification and ineffective management of interpersonal stress, particularly in workplace and educational settings.
Innovation Solution
A stress management system that combines biological data sensors with life log data sensors to detect and differentiate between emotional and interpersonal stress, providing notifications to both the affected individual and relevant contacts to address interpersonal stress effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only biological data is used to calculate stress level, then the stress management system is simple, but the system cannot accurately differentiate between emotional stress and interpersonal stress
Solution Approach 1:
The patent combines biological data (from first sensor) with life log data (from second sensor) to comprehensively analyze stress causes. The generator integrates multiple data sources including biological measurements, life log information, and captured images to distinguish between emotional stress and interpersonal stress, thereby improving measurement precision while managing system complexity through data fusion.
Solution Approach 2:
The patent segments the stress analysis into two distinct pathways: one for emotional stress detection using biological data, and another for interpersonal stress detection using life log data and image analysis. This segmentation allows the system to accurately differentiate stress types by processing different data streams through specialized analysis modules.
2Reliability
If the system notifies only the user of stress level, then the notification system is simple, but the system cannot effectively address interpersonal stress
Solution Approach 1:
The notifier acts as an intermediary that receives stress analysis results and determines appropriate notification strategies. When interpersonal stress is detected, the notifier can send notifications to both the user and relevant third parties (such as colleagues or supervisors), effectively addressing interpersonal stress while managing notification complexity through intelligent routing decisions.
3Measurement precision
If the system stores only basic stress data, then the data storage is simple, but the system cannot perform comprehensive stress analysis
Solution Approach 1:
The stress management system performs multiple functions using the same data storage infrastructure: it stores biological data for emotional stress analysis, life log data for interpersonal stress detection, and captured images for contextual analysis. This multi-functional use of data storage enables comprehensive stress cause identification without proportionally increasing data volume requirements.
Data Source
AI summary
A stress management system comprises: a first sensor that detects biological data of a user; a second sensor that detects life log data indicating an action history of the user; a generator that generates stress data using the biological data, the stress data indicating a time series variation of a stress level of the user; an estimator that, when the stress level of the user included in the stress data exceeds a first threshold, estimates whether or not stress of the user is interpersonal stress caused by contact with another person, using the life log data; and a notifier that notifies the user of a result of the estimation by the estimator and notifies a notification target person different from the user of notification content based on the result of the estimation by the estimator.