Matching People to Opportunities Using Personality and Body Data

This patent describes a system that infers your personality from your answers and body signals, then matches you with suitable learning or job opportunities.

What it covers

This patent outlines a method and system for personal development by matching individuals to opportunities. It works by first inferring a person's personality characteristics. This inference is based on how they respond to prompts and, in some embodiments, on measurements taken from their body, like haptic or biometric data. Once the personality is understood, the system matches the individual to specific opportunities, such as learning or employment. These opportunities are only revealed to the individual after a match is made. For example, if you answer questions about your preferences and wear a device that measures your stress levels, the system could suggest a specific training course that aligns with your inferred personality and current physiological state.

What it doesn't cover

• —Matching opportunities without inferring personality characteristics
• —Presenting opportunities to an individual before any match is determined
• —Inferring personality solely from body measurements without responses to prompts
• —Opportunities that are not learning or employment related
• —Methods that do not involve a processor circuit

The clever bit

The novelty lies in combining responses to prompts with actual body measurements (like haptic or biometric data) to infer personality, then using that inferred personality to suggest withheld opportunities.

Why it matters

This patent touches on the growing field of AI-driven career and personal development platforms. It suggests a more personalized approach to guidance, moving beyond simple skill matching to consider deeper personality traits and even physiological responses.

Real-world examples

• 1.Online career counseling platforms
• 2.Personalized learning management systems
• 3.Job matching services
• 4.Employee development software