A method and system for evaluating the effectiveness of a man-machine symbiotic system based on ternary synergistic gain

The human-machine symbiotic system performance evaluation method based on ternary synergistic gain solves the problems of insufficient symbiotic perspective and dimensional fragmentation in the evaluation of human-machine systems in the existing technology, realizes the quantitative evaluation and optimization of the synergistic gain of human-machine systems, and is applicable to multiple application scenarios.

CN122432604APending Publication Date: 2026-07-21林延明
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
林延明
Filing Date
2026-04-30
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing human-machine system evaluation methods lack a symbiotic perspective, fragment the evaluation dimensions of humans, AI, and interaction platforms, and lack a unified quantitative collaborative gain calculation model, resulting in the inability to identify and optimize efficient collaborative modes.

Method used

The human-machine symbiotic system performance evaluation method adopts the three-element synergistic gain method, which regards the human operator, AI-assisted unit and collaborative interaction platform as a whole. By quantifying the information flow efficiency and task completion of the three in the collaborative process, the three-element synergistic gain index G is calculated using a single composite operation consisting of exponential operation, logarithmic operation and difference operation, and the symbiotic performance level is output.

Benefits of technology

It achieves a comprehensive and unified assessment of the collaborative gain of human-machine systems, can identify and optimize efficient collaborative modes, has a response latency of no more than 50 microseconds, and is suitable for multiple application scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of based on ternary synergistic gain man-machine symbiotic system efficiency evaluation method and system, belong to man-machine interaction and intelligent system evaluation technical field.The method includes: ternary role definition step-human-machine collaborative system is divided into manifest pole (human operator), and the pole of return (AI auxiliary unit) and the axle of transport and change (collaborative interaction platform) three functional roles;Multi-dimensional efficiency acquisition step-acquire the efficiency index data of each functional role in the process of executing task;Synergistic gain calculation step-efficiency index data is input into collaborative evaluation engine, and the single composite operation of the single composite operation of index operation, logarithm operation and difference operation is calculated ternary synergistic gain index G;Symbiotic degree evaluation output step-according to the numerical range of ternary synergistic gain index G, output the symbiotic efficiency grade of man-machine system.The application defines a kind of general efficiency evaluation framework for "man-machine symbiosis" rather than "man-machine replacement" for the first time, quantifies the information flow efficiency and task completion degree between human operation, AI assistance and collaborative platform, and is suitable for the efficiency evaluation of various man-machine collaborative systems such as AI aided design, intelligent driving, remote medical treatment, intelligent manufacturing.
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