Perceptual-Cognitive-Motor Learning System With Staged Motor Integration
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Solution Overview
Problem
Existing training methods for improving cognitive functions, particularly in high-pressure situations, often hinder performance by introducing motor demands too early, leading to suboptimal learning curves and reduced transferability of skills.
Innovation Solution
A perceptual-cognitive-motor learning system (NT-LS) that includes a motor add-on system, a self-paced system, and a general concept for training, which involves a structured training sequence of core exercises with incremental motor demands, allowing subjects to consolidate perceptual-cognitive skills before adding motor loads, and enabling self-paced adjustments for optimal learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motor demands are introduced early in training, then motor skills are developed, but perceptual-cognitive learning is hindered and transferability of skills is reduced
Solution Approach 1:
The training program is segmented into distinct phases: an initial perceptual-cognitive consolidation phase followed by a motor integration phase. This segmentation allows each component to be optimized independently - perceptual-cognitive skills are developed without motor interference first, then motor skills are added, resulting in improved transferability and learning efficiency compared to combined training.
2Adaptability or versatility
If complex training scenarios are used, then real-life applicability is improved, but cognitive overload increases and learning becomes less efficient
Solution Approach 1:
The system prepares the perceptual-cognitive foundation in advance through dedicated consolidation exercises before introducing complex motor scenarios. This preliminary action ensures that cognitive processing capacity is optimized and ready to handle complex real-life applicable scenarios without overload, enabling efficient learning of versatile skills.
Solution Approach 2:
The training program dynamically adjusts complexity by first presenting simplified perceptual-cognitive tasks for consolidation, then progressively integrating motor demands and increasing scenario complexity as cognitive capacity is established. This dynamic progression maintains optimal challenge levels while building real-life applicability.
Data Source
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AI summary
The present disclosure relates to a perceptual-cognitive-motor learning system. The system includes an apparatus for evaluating or improving perceptual-cognitive abilities of a subject during a training sequence. The apparatus includes a display configured to provide to the subject a visual contact with an environment. The system also has a training sequence controller configured to consolidate results of first successive tests made using a single spatial zone formed by the environment, segment the into a plurality of spatial zones, and consolidate results of second successive tests made using the plurality of spatial zones. Methods for evaluating or improving perceptual-cognitive abilities of a subject are also disclosed.