Organizational Stress Analysis System with Personal Data Filtering
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Solution Overview
Problem
Current systems for analyzing the fatigue and/or stress state of an organization lack accuracy due to noise from personal factors not related to the organization, such as health conditions and life events, which can misrepresent the organizational stress levels.
Innovation Solution
An analysis system that acquires fatigue and stress data from members, stores personal information, and adjusts these values by excluding data from members with high stress levels due to personal factors, allowing for a more accurate analysis of organizational stress states by focusing on stress related to organizational factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all member fatigue and stress values are included in the organizational analysis, then the analysis covers the complete organizational population, but personal factors unrelated to the organization (health conditions, life events) introduce noise that reduces measurement precision
Solution Approach 1:
The patent extracts and removes data points corresponding to members whose fatigue or stress is caused by personal factors unrelated to the organization (health conditions, life events). This is achieved by detecting such personal factors and excluding the corresponding fatigue/stress values from the organizational analysis, thereby improving measurement precision by eliminating noise while maintaining the integrity of organization-related data.
2Measurement precision
If personal information about health conditions and life events is collected and used for data adjustment, then the accuracy of organizational stress analysis is improved, but the complexity of the analysis system increases
Solution Approach 1:
The patent introduces an intermediary component that acts as a filter between raw member data and organizational analysis. This intermediary detects personal factors (health conditions, life events) and selectively adjusts or excludes corresponding fatigue/stress values, thereby improving measurement precision while managing system complexity through a dedicated mediation layer that handles personal factor assessment.
3Measurement precision
If the analysis system excludes data from members with personal factors, then the measurement precision of organizational stress analysis is improved, but the loss of information occurs as some member data is excluded from the analysis
Solution Approach 1:
The patent selectively extracts only the problematic data points (those influenced by personal factors) for exclusion, rather than excluding entire member profiles or organization-wide data. This targeted extraction approach minimizes information loss by preserving all organization-related fatigue and stress data while removing only the noise-introducing personal factor data.
Data Source
AI summary
In an analysis system for analyzing a fatigue and/or stress state of an organization, the analysis system includes an information acquisition unit, an information storage unit, a fatigue and/or stress value acquisition unit, the fatigue and/or stress value being calculated based on the information regarding the fatigue and/or the stress, an adjustment target extraction unit configured to extract adjustment targets from among a plurality of members based on personal information including health information and a predetermined condition, the predetermined condition including whether a predetermined health state is good, and a fatigue and/or stress state analysis unit configured to adjust a set of the fatigue and/or stress values by correcting or excluding from an analysis the fatigue and/or stress value of the adjustment targets and to analyze the fatigue and/or stress state of the organization based on an adjusted set of the fatigue and/or stress values.