User Grouping via Biological Emotion Estimation
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Solution Overview
Problem
Matchmaking services face challenges in accurately determining user compatibility, leading to inefficient matching processes.
Innovation Solution
The use of biological information, such as pulse, heart rate, and brain wave data, to estimate emotions and calculate matchmaking indices, allowing for grouping users based on compatibility through emotion estimation models and machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional matchmaking methods based on pre-programmed preferences or basic user profiles are used, then the device complexity and implementation ease are maintained at acceptable levels, but the matchmaking accuracy and compatibility assessment precision are insufficient
Solution Approach 1:
The patent introduces biological information (physiological data) as an intermediary mediator between users and the matchmaking system. This biological information serves as an objective indicator of emotional states and compatibility, allowing the system to assess compatibility more accurately without requiring complex direct observation of interpersonal dynamics. The biological data acts as a bridge that translates subtle emotional and physiological responses into quantifiable compatibility metrics.
Solution Approach 2:
The patent replaces traditional mechanical/questionnaire-based compatibility assessment methods with biological measurement systems. Instead of relying on users' self-reported preferences and answers to structured questions, the system uses physiological sensors to objectively measure emotional arousal, heart rate variability, skin conductance, and other biological markers that indicate genuine emotional responses and compatibility during interactions.
2Measurement precision
If biological information measurement and analysis technology is implemented to estimate emotions and assess compatibility, then the measurement precision and matchmaking accuracy are improved, but the use of energy and measurement cost increase
Solution Approach 1:
The patent implements partial monitoring of biological information by selectively measuring only the most relevant physiological parameters for compatibility assessment rather than continuously monitoring all possible biological signals. The system focuses on key indicators such as heart rate, skin conductance, and facial expressions during critical interaction moments, rather than maintaining constant high-resolution monitoring of all biological functions, thereby reducing energy consumption while maintaining sufficient measurement precision.
3Reliability
If comprehensive biological information and multiple data types are collected and analyzed, then the reliability and accuracy of user grouping are improved, but the loss of time and data processing complexity increase
Solution Approach 1:
The patent performs preliminary processing and filtering of biological information and other data types before full compatibility analysis. The system pre-processes raw sensor data to extract relevant features, filters out noise and irrelevant signals, and prepares condensed representations of user states in advance. This preliminary action reduces the computational burden during actual matching operations, thereby reducing processing time while maintaining grouping reliability.
Data Source
AI summary
To provide a technology capable of grouping users who have high compatibility with each other. An information processing device includes: one or more processors; and one or more memories storing instructions that, when executed by the one or more processors, cause the information processing device to execute operations, wherein the operations include grouping a plurality of users based on biological information of the plurality of users.