| CPC G06F 3/015 (2013.01) | 10 Claims |

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1. A method for evaluating an intelligent human-machine cooperation system, comprising:
recording objective data of a subject during executing, by the subject, an intelligent human-machine cooperation system test;
inputting the objective data into a pre-trained fitting model for prediction to obtain a predicted subjective evaluation, wherein the pre-trained fitting model is obtained by fitting the objective data and a subjective evaluation, and the subjective evaluation is obtained based on a first subjective evaluation result of the subject after executing the intelligent human-machine cooperation system test for a pre-training; and
generating a real-time objective evaluation based on the objective data of the subject recorded in real-time, and obtaining a real-time human-machine cooperation score by combining the real-time objective evaluation with the predicted subjective evaluation,
wherein the obtaining the real-time human-machine cooperation score by combining the real-time objective evaluation with the predicted subjective evaluation comprises standardizing and summing, according to preset weight values, the real-time objective evaluation and the predicted subjective evaluation.
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