Method for training cognitive flexibility and related products
By dynamically generating training materials and task rules, establishing a flexible task-response mapping, and adaptively adjusting the number and type of trials, the problem of fixed materials and mechanized parameters in existing training is solved, thereby improving the adaptability and efficiency of cognitive flexibility training.
CN121371427BActive Publication Date: 2026-07-24SHENZHEN UNIV
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN UNIV
- Filing Date
- 2025-11-21
- Publication Date
- 2026-07-24
AI Technical Summary
Technical Problem
Existing cognitive flexibility training tasks suffer from fixed materials, simple task rules, fixed response methods, limited training task library capacity, fixed trial ratios, and mechanized time parameters, resulting in low training effectiveness and efficiency.
Method used
By dynamically generating training materials and task rules, a flexible task-response mapping relationship is established, and the number and type of trials are adaptively adjusted to achieve flexible adjustment of time parameters.
Benefits of technology
It improves the adaptability and effectiveness of cognitive flexibility training, enhances training results and efficiency, adapts to individual differences, and improves ecological validity.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121371427B_ABST
Abstract
The application discloses a training method for cognitive flexibility and related products, wherein the method comprises the following steps: determining an initial training level based on basic information of a target object; determining the number of multiple training attempts corresponding to a training task, the training dimension corresponding to each training attempt and the generation condition of training materials based on the initial training level; generating multiple training materials based on the generation condition of the training materials, wherein the multiple training materials and the multiple training attempts correspond to each other; generating multiple training task rules based on the training materials and the training dimension corresponding to each training attempt, wherein the multiple training task rules and the multiple training attempts correspond to each other; generating a training task based on the training materials and the training task rules corresponding to each training attempt; and showing the training task to the target object to train the target object. The method can improve the training effect and efficiency of cognitive flexibility.
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