Active-Feedback Cognitive State Measurement With Dynamic Stimuli
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Solution Overview
Problem
Existing systems for measuring and influencing cognitive states are passive, failing to account for the user's active responses to stimuli, which can be ineffective for individuals with sleep disorders or cognitive conditions like dementia.
Innovation Solution
An apparatus and method that uses active-feedback by receiving user responses to stimuli, determining control signals based on these responses, and adjusting stimuli patterns dynamically to engage users actively, using machine learning to personalize the stimuli according to their real-time cognitive state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If passive stimuli are provided without user engagement, then the system is simple to operate, but the effectiveness for individuals with sleep disorders or cognitive conditions deteriorates
Solution Approach 1:
The system implements active-feedback by detecting user responses (such as button presses, eye movements, or verbal responses) and using this information to dynamically adjust subsequent stimuli. This feedback loop ensures that the stimuli are adapted to the user's real-time cognitive state, improving effectiveness for individuals with sleep disorders or cognitive conditions while maintaining manageable system complexity through automated response detection and adjustment algorithms.
Solution Approach 2:
The system transitions from static, pre-programmed stimuli to dynamic stimuli that change in real-time based on user responses. The stimuli parameters (such as intensity, frequency, or type) are continuously adjusted according to the detected cognitive state, making the system adaptive and effective for varying user conditions without requiring complex manual reconfiguration.
2Adaptability or versatility
If static stimuli patterns are used, then the device complexity is reduced, but the adaptability to individual user needs deteriorates
Solution Approach 1:
The system uses feedback from detected user responses to dynamically adjust stimuli patterns. By automatically detecting cognitive state indicators and modifying subsequent stimuli accordingly, the system achieves high adaptability to individual user needs without requiring complex manual configuration or multiple pre-programmed scenarios.
Solution Approach 2:
The system performs self-adjustment by automatically detecting user responses and modifying its own operation in real-time. This self-service capability enables the system to adapt to individual user needs autonomously, reducing the complexity of external control while maintaining high adaptability through automated decision-making algorithms.
3Measurement precision
If passive monitoring is implemented, then the ease of operation is improved, but the measurement precision of cognitive state deteriorates
Solution Approach 1:
The system enhances measurement precision by actively detecting user responses to stimuli and using this feedback to infer cognitive state. Rather than relying solely on passive monitoring, the system analyzes the timing, accuracy, and nature of user responses to provide more precise measurements of cognitive function, while maintaining ease of operation through automated detection and analysis.
Solution Approach 2:
The system prepares multiple possible stimuli patterns in advance, each designed to probe different aspects of cognitive function. By having these pre-prepared patterns ready and selecting/applying them based on detected responses, the system achieves precise cognitive state measurement without requiring complex real-time generation of stimuli, thus maintaining ease of operation.
Data Source
AI summary
An apparatus for one or more of measuring cognitive state of a user and inducing a change of cognitive state of a user is disclosed. The apparatus is configured to: receive a response signal indicative of an active user response provided in response to a stimulus provided by a stimulus means; determine a control signal in dependence on a characteristic of the response signal and in accordance with a dynamic stimuli pattern, wherein the dynamic stimuli pattern is indicative of possible stimuli to be provided in response to the active user response; and provide the control signal to the stimulus means to control the stimulus means to provide a further stimulus in accordance with the control signal.