Working Memory Training System Using Dynamic Difficulty Adjustment
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Solution Overview
Problem
Conventional virtual exercises and games fail to effectively enhance working memory and computational fluency, as they are based on incomplete neural models and do not accommodate the brain's need for complex mathematical operations, leading to inadequate improvement in working memory capacity and computational proficiency.
Innovation Solution
A computing system presents a plurality of selectable working memory domains with corresponding training games that target specific cognitive functions, adjusting difficulty levels based on user performance, and utilize spatial-temporal exercises to enhance theta wave frequency, retention, and neuro-circuit conditioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional virtual exercises and games are used to improve working memory, then users can engage in cognitive training activities, but the exercises fail to effectively enhance working memory capacity and computational fluency due to incomplete neural models
Solution Approach 1:
The patent changes the parameters of the training exercises by incorporating complex mathematical operations (addition, subtraction, multiplication, division) and spatial manipulation tasks that specifically target working memory neural circuits. The exercises modify stimulation parameters including presentation duration, inter-stimulus intervals, and difficulty progression to optimize neural circuit engagement and enhance working memory capacity effectively
Solution Approach 2:
The training system segments working memory training into distinct domains (spatial, verbal, and visuospatial) with specialized exercises for each domain. This segmentation allows targeted engagement of specific neural circuits while maintaining overall working memory improvement, addressing the inadequacy of general-purpose conventional exercises
2Speed
If n-back games escalate difficulty rapidly from first to second challenge level, then the games increase cognitive demand, but users become overwhelmed and discouraged, reducing training effectiveness
Solution Approach 1:
The system implements dynamic difficulty adjustment where exercise parameters (presentation duration, number of items, operation complexity) are continuously adapted based on real-time user performance. This creates an optimal challenge level that maintains user motivation while ensuring continuous cognitive engagement, preventing both boredom and overwhelming difficulty
Solution Approach 2:
The training program employs periodic review of previously learned material and interleaved practice of different skill types. This periodic reinforcement consolidates learning while maintaining engagement, and the structured progression through multiple challenge levels with review periods prevents rapid escalation from overwhelming difficulty
3Device complexity
If conventional virtual exercises focus only on storage and retrieval functions, then the exercises simplify working memory to basic memory tasks, but they fail to sharpen or expand the capacity of working memory for complex mathematical operations
Solution Approach 1:
The patent combines multiple cognitive functions (storage, retrieval, manipulation, and transformation of information) into composite training exercises. Each exercise integrates multiple working memory operations simultaneously, such as holding numbers in memory while performing spatial rotations and mathematical calculations, thereby expanding working memory capacity for complex operations rather than simple storage and retrieval
Data Source
AI summary
Apparatus and methods for enhancing a working memory of a human is provided. A computing system having a processor executing instructions out of a memory device presents a plurality of selectable working memory domains corresponding to cognitive functions of a human brain, where each working memory domain is associated with a corresponding training game that is configured to enhance a selected working memory domain.