Personality Analysis Matching System Using Hormonal and Linguistic Data
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Solution Overview
Problem
Current online matching systems fail to effectively account for personality compatibility, leading to unsatisfactory matches and wasted time for users, as they rely solely on profile information without considering individual personality types and preferences.
Innovation Solution
A system and method that determine personality types based on hormonal levels, word choice analysis, and question responses, using relationship rules to match users, incorporating a multi-tiered questioning protocol, pre-date planning, post-date evaluations, and an 'Interested In You' component to enhance matching accuracy and user satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If online matching systems rely solely on profile information, then the system complexity remains low, but the matching precision and user satisfaction deteriorate
Solution Approach 1:
The patent segments the matching process into multiple independent components: personality type determination module, compatibility rule engine, interest level assessment module, and feedback processing module. Each component handles a specific aspect of the matching process, allowing the system to achieve high matching precision through specialized analysis while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent introduces additional dimensions to the matching process beyond basic profile information. It incorporates personality type analysis (adding psychological dimension), compatibility rule evaluation (adding relational dimension), and interest level assessment (adding engagement dimension). These additional dimensions enable more precise matching by evaluating users from multiple perspectives simultaneously.
2Reliability
If personality analysis is incorporated into matching systems, then user satisfaction and relationship success improve, but the time and resources required for matching increase
Solution Approach 1:
The patent performs personality type determination and compatibility assessment in advance, before users need to interact. User profiles are pre-analyzed to establish personality types and compatibility metrics, so that when matching is needed, the system can quickly retrieve and compare pre-computed data rather than performing complex analysis in real-time, significantly reducing matching time.
Solution Approach 2:
The patent implements feedback loops where user interactions and dating outcomes are continuously monitored and fed back into the system. This feedback refines the compatibility rules and personality type classifications over time, improving relationship success rates while making the matching process more efficient through learned patterns and optimized algorithms.
Data Source
AI summary
In one example embodiment, a method is provided that includes interfacing with one or more end users via a central website and managing information related to one or more of the end users. The method also includes determining a personality type for one or more end users and matching end users based on relationship rules of the personality types that outline compatibilities between the personality types. In more specific embodiments, the determining of the personality type includes an evaluation of a hand of a selected end user. The personality types can be based on inferred levels of testosterone, serotonin, or estrogen. The personality type determination can also be made based on a set of questions. The personality type determination can also be based on evaluating a selected end user's word choice and/or the frequency in their word choice in their writing.