Profile-oriented cognitive improvement system with adaptive exercise sequencing
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Solution Overview
Problem
Current cognitive improvement systems lack effectiveness in identifying and addressing specific cognitive skill deficiencies, leading to inadequate improvement in memory, problem-solving, and processing speed, particularly as individuals age.
Innovation Solution
A profile-oriented cognitive improvement system that uses a processor to administer diagnostic exercises, identify error types, and tailor improvement exercises to individual field profiles, adjusting difficulty levels and pacing based on user performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If generic cognitive exercises are provided to all users, then the system is simple to operate, but the cognitive improvement effectiveness is insufficient because it does not address specific individual deficiencies
Solution Approach 1:
The patent segments cognitive exercises into multiple categories (memory exercises, attention exercises, problem-solving exercises, etc.) and further divides them into different difficulty levels. This segmentation allows the system to provide targeted exercises based on user needs while maintaining manageable system organization through structured categorization of exercise content.
Solution Approach 2:
The system dynamically adapts exercise selection and difficulty levels based on real-time user performance data. The processor continuously monitors user responses and adjusts the sequence of exercises presented, transitioning from static generic exercises to dynamic personalized exercise sequences that evolve with user progress.
2Measurement precision
If diagnostic exercises are administered to identify specific cognitive deficiencies, then targeted improvement can be achieved, but the time required for assessment and exercise sequencing increases
Solution Approach 1:
The system performs preliminary diagnostic assessment before initiating the main exercise sequence. By administering diagnostic exercises first to establish baseline cognitive performance and identify specific deficiency areas, the system prepares personalized exercise sequences in advance, avoiding time loss during subsequent exercise delivery.
Solution Approach 2:
The system continuously monitors user performance during diagnostic and improvement exercises, providing real-time feedback to the processor. This feedback mechanism enables rapid adjustment of exercise selection and difficulty levels, reducing overall assessment time while maintaining identification accuracy through adaptive questioning.
Data Source
AI summary
A profile oriented cognitive improvement method, constituted of: outputting a plurality of diagnostic exercises; for each of the output diagnostic exercises, receiving a respective input; determining whether the respective received input is within respective parameter limits associated with at least one of a plurality of predetermined error types; responsive to the determination, identifying the at least one error type; comparing a function of the identified error types to each of a plurality of models; responsive to an outcome of the comparison, identifying which of a plurality of field profiles describes the user; and outputting a respective portion of a respective set of improvement exercises associated with the identified field profile.