Control method, apparatus, and storage medium of advertisement evaluation system

By acquiring users' neurophysiological signals, calculating brain region differential parameters, identifying emotional states and aligning them with media content timestamps, and generating emotional state curves, the accuracy problem of existing advertising evaluation methods is solved, enabling precise diagnosis and optimization of advertising content.

CN121724696BActive Publication Date: 2026-05-26SHENZHEN KINGSIDEA ADVERTISING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN KINGSIDEA ADVERTISING CO LTD
Filing Date
2026-02-26
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing advertising evaluation methods are unable to accurately reflect the key elements in advertisements that resonate with users, are affected by memory bias and social expectations, and behavioral data is difficult to accurately correlate with specific content elements.

Method used

By acquiring the neurophysiological signals of users when receiving media content, extracting target rhythm signals, calculating the differential parameters between brain regions, using a sentiment analysis model to identify the type of emotional state, aligning it with the timestamp of the media content, generating an emotional state curve, and determining the playback effect.

Benefits of technology

It achieves millisecond-level correlation between users' internal emotional responses and external advertising content elements, accurately pinpointing the specific advertising moments that trigger particular emotional fluctuations, and providing accurate diagnostic and optimization decision-making basis for advertising content.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a control method, device, and storage medium for an advertising evaluation system, belonging to the field of advertising evaluation technology. The method includes: acquiring the neurophysiological signals of a user when receiving media content, extracting a target rhythm signal from the neurophysiological signals, calculating the difference parameters of the target rhythm signal between preset brain regions, identifying the user's emotional state type based on the difference parameters using an emotion analysis model, aligning the emotional state type with the timestamp of the media content to generate an emotion state curve, and determining the playback effect of the media content based on the emotion state curve. This application analyzes the time and degree of a user's specific emotions based on the neurophysiological signals when watching media content, thereby determining the playback effect of the media content.
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