Communication Advice System for Individual Differences
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Solution Overview
Problem
Existing communication advice systems fail to effectively address individual differences between members in organizations, often relying on subjective or rule-based approaches that do not improve communication efficiency.
Innovation Solution
A computer system that compares the characteristics of multiple users across various viewpoints, providing tailored advice on communication based on the greatest differences or commonalities to enhance communication and cooperation within organizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If communication advice is provided based on averaged characteristics of the entire organization, then the advice system is simple to implement, but it fails to address individual differences between members
Solution Approach 1:
The patent segments the organization into individual member units, each with their own characteristic values across multiple dimensions (e.g., communication style, decision-making approach). Instead of treating the organization as a homogeneous whole, the system divides it into discrete comparable units, allowing tailored advice generation for each member based on their specific characteristics rather than averaged organizational traits.
Solution Approach 2:
The patent applies local quality by generating communication advice that is specific to each member's local characteristics rather than applying a uniform organizational approach. Each member receives advice tailored to their individual profile across multiple dimensions, ensuring the advice is locally optimized for their specific communication needs and style differences.
2Reliability
If communication advice is provided based on subjective rules of thumb or feelings, then the system is easier to operate, but the advice lacks objectivity and reliability
Solution Approach 1:
The patent replaces subjective human judgment (mechanical system of human perception and decision-making) with an automated computer-based evaluation system. The system uses standardized measurement across multiple dimensions to objectively assess member characteristics and generate advice, eliminating reliance on subjective rules of thumb or personal feelings while maintaining ease of operation through automation.
Solution Approach 2:
The patent implements feedback mechanisms where communication evaluation results are systematically measured, stored, and used to generate improved advice. The system continuously refines its recommendations based on measured outcomes and member responses, creating an objective feedback loop that enhances reliability while maintaining operational simplicity through automated processing.
3Measurement precision
If multiple dimensions are used to evaluate communication characteristics, then the evaluation precision is improved, but the complexity of understanding and applying the advice increases
Solution Approach 1:
The patent evaluates communication characteristics across multiple dimensions (e.g., communication style, decision-making, problem-solving approaches) rather than using a single metric. This multi-dimensional approach increases measurement precision by capturing the complexity of human communication from various angles, while the computer system integrates these dimensions to produce comprehensive yet manageable advice.
Solution Approach 2:
The patent merges multiple evaluation dimensions into integrated communication advice recommendations. The computer system combines information from various measurement dimensions and synthesizes them into unified, actionable advice that maintains high measurement precision while reducing the complexity of understanding and application for the user.
Data Source
AI summary
The present invention provides a computer system providing an advice on communication. The computer system (100) of the present invention is configured to receive characteristics of a plurality of users (S501), to mutually compare the characteristics of two users out of the plurality of users (S502), and output an advice on communication between the two users on the basis of the comparison of the characteristics of the two users (S503).


