Emotional Management System with Work Data Correlation
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Solution Overview
Problem
Conventional emotion journaling methods are inefficient and difficult to maintain consistently, as they fail to consider work-related influences on emotional states and often result in sporadic and haphazard entries, which are of limited benefit and can be stressful.
Innovation Solution
A computerized system that uses a communications interface to transmit prompts to a user interface device, correlating historical emotion response data with work-related data to infer causes of the user's emotional state and provide insights and recommendations for improving well-being, integrated with collaborative work-related applications to facilitate consistent emotional awareness and journaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual journaling is used to record emotional states, then emotional awareness is captured, but the process becomes time-consuming and difficult to maintain consistently
Solution Approach 1:
The system pre-configures multiple journaling templates with different questions and emotional state categories before the user needs to journal. When the user initiates journaling, the system automatically selects and presents the appropriate pre-configured template based on the current date and time, eliminating the need for the user to create journaling structures manually each time.
Solution Approach 2:
The system automatically performs data entry by extracting information from the user's email communications and calendar events. The journaling system self-updates with work-related data, meeting schedules, and project information without requiring the user to manually transcribe this information, significantly reducing the time and effort required to maintain consistent journaling.
2Loss of information
If traditional journaling methods are used, then personal thoughts are recorded, but work-related influences on emotional state are not considered
Solution Approach 1:
The system merges the emotional journaling functionality with existing work collaboration platforms by integrating with Microsoft Teams, Outlook, and other enterprise applications. This combination allows the journaling system to automatically access work-related data such as meeting schedules, project timelines, and communication patterns, ensuring that work context information is captured without requiring separate data collection processes.
Solution Approach 2:
The system employs an intermediary layer that connects the personal journaling application with corporate work systems. This intermediary component securely extracts relevant work-related information from enterprise applications and translates it into journaling context, bridging the gap between personal emotional tracking and professional work environment data while maintaining appropriate data privacy and security boundaries.
3Productivity
If Sporadic journaling entries are made, then minimal time is invested, but the journaling provides little benefit and may become stressful
Solution Approach 1:
The system implements periodic journaling prompts that automatically appear at strategically determined intervals based on the user's work patterns and historical journaling behavior. Rather than requiring daily manual entries, the system prompts the user at optimal moments throughout the workday, such as after major meetings or at the end of project milestones, making journaling a natural part of the work rhythm rather than an additional burden.
Solution Approach 2:
The system allows the user to provide partial journaling input by automatically generating journal entries from work data with optional user validation. The system can create complete journal entries using extracted work context information, and the user only needs to review or make minor adjustments, rather than requiring complete manual composition of each journal entry. This partial action approach ensures consistent journaling coverage without demanding full user effort for every entry.
Data Source
AI summary
The disclosure herein describes an emotional insight management system that provides user-configured prompts and insights to the user. In some examples, an insights application provides personalized, recurring prompts to encourage users to provide current emotional state updates to a well-being journal. The user's responses over time are aggregated within a historical trends report, which provides emotional response data over time. The insights application generates insights into potential reasons for the user's emotional states on a given day. The system analyzes the user-provided emotion response data with integrated work-related data to identify reasons for the user's mood and make recommendations for actions to be taken by users to reduce stress and improve the user's emotional well-being.