A toy intelligent guiding method and system based on human-computer interaction

The intelligent toy system, which utilizes multimodal data perception and dynamic guidance strategies, addresses the shortcomings of existing intelligent toys in terms of individual adaptation and strategy adjustment, achieving personalized and precise guidance and improving educational effectiveness and user experience.

CN120929673BActive Publication Date: 2026-06-23GUOCHAO SHANHAIJING CULTURAL IND (GUANGDONG) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUOCHAO SHANHAIJING CULTURAL IND (GUANGDONG) CO LTD
Filing Date
2025-07-26
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing smart toys lack the ability to dynamically perceive and adapt to individual user characteristics, resulting in poor guidance effects. Users are prone to falling into their comfort zones, making it difficult to effectively improve training results in weak areas. Furthermore, they cannot adjust guidance strategies in a timely manner when encountering difficulties, leading to frustration and loss of interest.

Method used

The intelligent toy guidance method and system based on human-computer interaction dynamically adjusts guidance strategies by combining multimodal data perception (voice, gesture, posture, text) with data storage, demand analysis, and pattern determination modules. It accurately identifies user weaknesses and switches to strengths to achieve personalized and precise guidance.

Benefits of technology

This enhances the educational value and user engagement of smart toys. Through multi-dimensional data analysis and flexible guidance mechanisms, guidance strategies are dynamically adjusted to prevent users from stagnating in their comfort zones and experiencing frustration, thus promoting the development of their overall abilities.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a toy intelligent guidance method and system based on human-computer interaction, and belongs to the technical field of human-computer interaction and intelligent toys. The method comprises the following steps: determining a target guidance demand of a current user based on human-computer interaction data of an intelligent toy in a preset historical time period; determining a current data sensing mode of the intelligent toy based on the target guidance demand; and starting the current data sensing mode to guide the behavior of the current user. The system comprises a data storage module, a demand analysis module, a mode determination module and a guidance execution module, and is used for realizing the method. The application positions the user's ability short board based on historical interaction data, preferentially pushes challenging content to complete guidance, but when the user's participation degree is monitored to be reduced, the application can automatically switch to the user's preferred field to maintain learning motivation. Through continuous evaluation of the guidance effect, the proportion of strong and weak content is dynamically adjusted to achieve a balance between challenge and sense of achievement, and the user is ensured to be in a benign cycle in a comfort zone and a learning zone.
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