Personality-Type Training System Using Linguistic Analysis

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Solution Overview

Problem

Conventional communication improvement systems are limited in their ability to provide effective linguistic-based analysis of electronic communications and fail to adequately teach users how to apply personality type classifications to improve interactions, often being tedious and difficult to use.

Innovation Solution

A method and system that conducts linguistic analysis of electronic communications to identify personality types and provide communication recommendations, incorporating a gamification system to teach users about personality types and improve communication techniques through interactive games and quizzes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional communication improvement systems collect and analyze surveys to classify communicators, then demographic information or characterization methods are obtained, but the systems require manual analysis and self-surveys which limits their scope and effectiveness

Engineering Contradiction:
Improvepersonality classification accuracyVSAvoidmanual analysis requirement
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically analyzes electronic communications to determine personality types without requiring manual analysis by users. The linguistic analysis engine processes communications autonomously, extracting personality characteristics directly from the communication content itself rather than requiring separate self-survey completion and manual interpretation

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical analysis with automated computational linguistic analysis. The system uses computer-based natural language processing and text analytics to automatically classify personality types from electronic communications, substituting human manual effort with automated algorithmic processing

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If conventional communication improvement systems provide survey results, then personality classification is obtained, but users do not know how to adequately apply these results to improve their communications

Engineering Contradiction:
Improvepersonality insight deliveryVSAvoidapplication guidance
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The system provides real-time feedback by analyzing electronic communications and immediately delivering personality-based insights and recommendations. The linguistic analysis engine processes communications and returns actionable guidance on how to improve communication effectiveness based on the identified personality types, creating a continuous feedback loop rather than one-time survey results

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of communication patterns before the user needs to apply them. By automatically analyzing past electronic communications to determine personality types in advance, the system prepares personalized communication strategies that users can directly apply without needing to interpret raw survey data

Inventive Principle:
Principle #10Preliminary action

3Loss of information

If conventional communication improvement systems are designed to provide personality analysis, then communication insights are delivered, but the systems are difficult or tedious to use which decreases effectiveness

Engineering Contradiction:
Improvecommunication insightsVSAvoidsystem usability
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system extracts only the essential personality characteristics and communication recommendations from the complex analysis process. Rather than presenting users with comprehensive linguistic analysis data and multiple personality dimensions, the system extracts and delivers only the key insights and actionable recommendations needed to improve communication

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system analyzes multiple types of electronic communications (emails, messages, documents) using a single unified linguistic analysis engine. This multi-functional approach allows the same core technology to process various communication formats without requiring separate tools or complex user configurations for each communication type

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11043136B2Personality-type training system and methods
Publication Date: 2021.06.22 MATTERSIGHT CORP
  • US11043136B2 patent drawing
  • US11043136B2 patent drawing
  • US11043136B2 patent drawing

AI summary

A personality-type training gamification system that includes a communications link configured to receive one or more communications, an analysis processor in bi-directional communication with the communications link with a plurality of non-transitory computer readable instructions stored in association therewith that are accessible to, and executable by, the processor, wherein the plurality of instructions, when executed receive the one or more communications from the communications link, analyze the one or more communications to identify personality types associated with the one or more communications, provide an overview of each identified personality type to a user; and provide one or more games or quizzes to the user and instructions to take the one or more games or quizzes to test the user's knowledge of the plurality of personality types provided; and a display device configured to display to the user at least a performance analysis for the user.