Neuroadaptive Display Controller for Cognitive Load Balancing
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Solution Overview
Problem
Conventional displays do not account for cognitive capacity limits, often presenting too much information and being unbalanced, which can lead to inefficiencies in information processing due to the inability to dynamically adjust based on individual brain activity.
Innovation Solution
A method and system that utilize neurophysiologically determined feedback to measure independent cognitive capacities of the left and right brain hemispheres by presenting visual stimuli and measuring brain activity, allowing for dynamic adjustment of display properties such as stimulus load and location based on frequency-dependent brain metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional displays present more information, then information coverage is improved, but cognitive processing efficiency deteriorates due to exceeding cognitive capacity limits
Solution Approach 1:
The display system dynamically adjusts the quantity and distribution of information presented based on real-time measurement of the user's brain activity. The controller modifies stimulus load, information density, and display properties according to the measured cognitive capacity, transforming a static information presentation into a dynamic adaptation process that optimizes both information coverage and processing efficiency
Solution Approach 2:
The system changes physical parameters of the display based on brain activity measurements, including stimulus load, information quantity, and temporal characteristics. By adjusting these parameters according to the measured cognitive state, the system optimizes the balance between information presentation and cognitive processing capacity
2Adaptability or versatility
If conventional displays use fixed information presentation, then device complexity is reduced, but adaptability to individual cognitive capacities deteriorates
Solution Approach 1:
The system implements a feedback loop where brain activity is continuously measured, processed to determine cognitive capacity, and used to adjust the display presentation. This closed-loop feedback mechanism enables real-time adaptation to individual cognitive capacities while automating the complexity of adjustment decisions through neural processing
Solution Approach 2:
The patent replaces manual adjustment mechanisms with automated neurophysiological measurement and processing. Instead of requiring users to manually configure display settings or relying on simple heuristics, the system uses brain activity measurement and computational processing to automatically optimize information presentation, substituting mechanical or manual adjustment with intelligent automation
Data Source
AI summary
A method, or corresponding dynamic display system, for customizing a controller of a display system includes presenting a visual stimulus to a subject at at least one known location relative to the subject's eye gaze; measuring brain activity of the subject's left and right brain hemispheres in response to the subject's viewing of the stimulus; processing the measured brain activity to determine a frequency-dependent metric of the measured brain activity; assessing independent cognitive capacities of the subject's left and right brain hemispheres based on the frequency-dependent metric; and adjusting a function of the controller in the display system according to the assessed independent capacities, such as by adjusting the function to change a stimulus load in a visual hemifield according to the brain activity in the contralateral brain hemisphere. Example applications include head-up display (HUD), augmented reality (AR) or virtual reality (VR) display systems, and brain injury assessment systems.