Emotion-Based User Matching System Using Audio Response Segmentation
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Solution Overview
Problem
Current dating services often lack a safe and effective means to facilitate emotional connections between users, relying on physical attributes and lacking structured activities, which can lead to superficial interactions and safety concerns.
Innovation Solution
A system utilizing multiple match-making modules, including a music response module, dating questionnaire module, and purchase behavior match module, to pair users based on emotional responses to audio files, purchase behavior, and incremental identity revelation, within a digital environment, allowing for virtual dates and safe emotional connection cultivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users select matched individuals based primarily on physical attributes, then matching speed is improved, but emotional connection quality deteriorates
Solution Approach 1:
The matching process is divided into multiple independent modules: music response module, dating questionnaire module, and purchase behavior match module. Each module evaluates different aspects of user compatibility, with music response and questionnaire modules specifically designed to assess emotional connection potential, thereby maintaining matching speed while improving emotional connection quality through structured segmentation of evaluation criteria
Solution Approach 2:
The system introduces an intermediary matching system that mediates between user physical attribute preferences and emotional connection assessment. The match making modules act as intermediaries that process music responses, questionnaire answers, and purchase behavior data to generate compatibility scores, preventing direct reliance on superficial physical attributes while maintaining efficient matching through automated intermediary evaluation
2Reliability
If structured activities are provided to facilitate conversation, then emotional connection quality is improved, but system complexity increases
Solution Approach 1:
The system segments the ice-breaking process into structured modules: the music response module provides pre-selected audio files with emotional descriptors, the dating questionnaire module offers structured questions with guided responses, and the virtual date module provides scheduled interaction frameworks. This segmentation transforms the complex task of facilitating emotional connections into manageable, standardized modules that reduce system complexity while improving emotional connection quality
Solution Approach 2:
The system changes parameters of interaction by introducing structured variables such as music genre preferences, emotional response categories, questionnaire topic areas, and virtual date scheduling parameters. These parameter changes provide a framework for structured activities without requiring complex real-time decision-making, thereby improving emotional connection quality while maintaining relatively simple system architecture through parameter-based structuring
3Object-affected harmful factors
If personal information access is restricted for safety, then user safety is improved, but information availability for matching deteriorates
Solution Approach 1:
User information is segmented into different categories with different access levels: demographic information (name, age, location) is restricted for safety, while preference information (music genres, questionnaire responses, purchase behavior patterns) is made available for matching. The system segments data collection and processing into modules that handle sensitive information separately from matching-relevant information, thereby improving user safety while maintaining information availability for effective matching
Solution Approach 2:
The match making modules serve as intermediaries that process user information without requiring direct access to personal data. The system uses intermediary processing where music responses, questionnaire answers, and purchase behavior data are aggregated and analyzed by the matching algorithm without exposing raw personal information, thereby protecting user safety while ensuring sufficient information availability for accurate matching through intermediary data processing
Data Source
AI summary
A method for matching individuals according to emotions evoked by music, includes the use of a plurality of personality matching questions to generate a response profile that is matched with a plurality of subsequent response profiles. A plurality of emotion-evoking audio files is provided for each of the plurality of personality matching questions, wherein a user account is prompted to select one of the plurality of emotion-evoking audio files as a response for each of the plurality of emotion-evoking audio files. The response for each of the plurality of personality matching questions is aggregated into the response profile along with a favorite song. A match probability rating is then calculated for the each of the plurality of subsequent response profiles in relation to the response profile of the user account. A plurality of subsequent user accounts is then displayed to the user account to engage in a virtual date.