Emoji-Based Emotion Journaling for Real-Time Employee Sentiment Tracking
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Solution Overview
Problem
Existing emotional state assessment systems are limited in capturing employees' emotions outside the office and are not portable, leading to delayed and imprecise emotion recording. Additionally, current messaging apps fail to accurately express users' emotions, introducing ambiguity and requiring additional features like emoji selection which do not effectively address the core issue.
Innovation Solution
A mobile device-based emotion journaling application that allows employees to select and combine emotion graphical representations (emojis) with a written entry, creating a message that can be sent to recipients. The system includes an electronic message processing system that aggregates and maps emotional state information, providing individual, group-wide, and company-wide emotional state insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audio or video devices with sensors are installed on the employee's desk to detect emotional state, then measurement precision is improved, but device portability deteriorates and loss of time increases
Solution Approach 1:
The patent uses emoji icons as simplified visual representations (copies) of complex emotional states. Instead of requiring complex audio/video sensors, the system uses standardized emoji graphics that employees can easily select to represent their emotions, achieving accurate emotional capture without the time delay and portability issues of fixed sensor installations
Solution Approach 2:
The patent replaces the mechanical sensor-based emotional detection system with a digital interface system where employees manually select emojis to express their emotions. This substitution eliminates the need for physical sensors on desks while enabling real-time emotional capture anywhere the employee is present
2Measurement precision
If complex hardware with sensors is implemented to detect emotional state, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex sensor hardware with simple emoji icon graphics. The emotional state detection is achieved through the selection of pre-defined emoji representations rather than through complex biometric sensing, dramatically reducing hardware complexity while maintaining measurement precision through the standardized emoji vocabulary
Solution Approach 2:
The patent uses inexpensive, lightweight emoji icons instead of expensive, complex sensor hardware. The emoji graphics can be displayed on any standard mobile device screen, eliminating the need for costly specialized equipment while achieving the same emotional state measurement objective
3Ease of operation
If messaging apps are used to receive employee opinions on business process, then ease of operation is improved, but measurement precision deteriorates due to ambiguity
Solution Approach 1:
The patent applies local quality by providing employees with a dedicated set of emoji icons specifically for expressing emotions, separate from general messaging functionality. This localized emoji selection interface ensures that when employees choose emojis, they are doing so specifically to convey their emotional state, eliminating the ambiguity present in general messaging contexts
Solution Approach 2:
The patent introduces emoji icons as an intermediary between the employee's internal emotional state and the external communication system. Instead of requiring employees to describe their emotions in text (which introduces ambiguity), the emoji icons serve as a direct visual mediator that translates internal emotional states into unambiguous external representations
Data Source
AI summary
The present invention is directed to an electronic system for the assessment of emotional state. The system allows individual employees to specify their emotions using a set of emojis. The system provides a graphical user interface that displays a list of different emotions and associated emojis that the user can select. The system allows the user to write an entry about his thoughts and emotions in conjunction with the selected emojis and send the message with the emojis to individuals with whom he chooses to share. The system provides a list of company-wide employees from which the user can select. The system receives the messages and implements data structures to process the received messages and produce individual and company-wide emotional state information.