Method, device, storage medium and program product for analyzing influence of emotion on decision-making

By acquiring subjective and EEG data and combining them with graph theory feature analysis, the problem of inaccurate analysis of the impact of emotion on decision-making in existing technologies has been solved, achieving higher analytical accuracy.

CN117731286BActive Publication Date: 2026-06-12INST OF AUTOMATION CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INST OF AUTOMATION CHINESE ACAD OF SCI
Filing Date
2022-09-13
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

Existing technologies cannot accurately analyze the impact of emotions on decision-making, and methods that rely solely on emotion and behavior analysis are not precise enough.

⚗Method used

By acquiring subjective data, behavioral data, and raw EEG data of the target subjects, and combining graph theory feature information, the influence of emotions on decision-making is analyzed. This includes determining the triggers of emotions, preprocessing EEG data, constructing directed weighted graphs, and performing correlation analysis on behavioral data, thereby improving the accuracy of the analysis.

🎯Benefits of technology

It improves the accuracy of analyzing the impact of emotions on decision-making, avoids the errors of relying solely on emotion and behavior analysis, and provides a more accurate assessment of the impact of emotions on decision-making.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides an analysis method and device for influence of emotion on decision, a storage medium and a program product. The method comprises the following steps: obtaining subjective data, behavior data and original electroencephalogram data of a target object; determining whether to stimulate multiple emotions of the target object based on the subjective data; in the case of determining to stimulate multiple emotions of the target object, determining graph theory feature information based on the original electroencephalogram data; and analyzing the influence of emotion on decision based on the behavior data and the graph theory feature information. The analysis method and device for influence of emotion on decision, the storage medium and the program product provided by the application are used for improving the accuracy of analyzing the influence of emotion on decision.
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