Adaptive Digital Environment Using Cognitive State Classification
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Solution Overview
Problem
Current digital environments lack the ability to dynamically adapt to a user's cognitive state, leading to suboptimal engagement and interaction experiences.
Innovation Solution
A computer-implemented method that collects physical data, identifies cognitive features, classifies the user's cognitive state, and adapts the digital environment using avatars and probability density classifiers to nurture or change the user's cognitive state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the digital environment is made static and fixed, then the system complexity is reduced, but the adaptability to user cognitive state deteriorates
Solution Approach 1:
The patent implements dynamic adaptation by continuously monitoring user cognitive states through sensors and adjusting digital environment parameters in real-time. The system transitions from a static to a dynamic configuration where environment characteristics (visual, auditory, haptic) are continuously modified based on detected cognitive states, resolving the contradiction between adaptability and complexity through controlled dynamic behavior.
Solution Approach 2:
The system employs feedback loops where user cognitive states are detected through physical data collection, processed through classification algorithms, and used to adjust environment parameters. This closed-loop feedback mechanism enables adaptive behavior while managing system complexity through structured information flow and decision-making protocols.
2Productivity
If cognitive state monitoring and adaptation mechanisms are added, then user engagement is improved, but the device complexity increases
Solution Approach 1:
The system segments the complex task of cognitive state adaptation into distinct functional modules: sensor data collection, cognitive state classification, and environment parameter adjustment. Each module handles a specific aspect of the adaptation process, reducing overall system complexity while maintaining high user engagement through coordinated operation of these specialized components.
Solution Approach 2:
The patent creates a multi-functional system where a single integrated platform performs diverse functions including cognitive state detection, classification, and multiple types of environment adaptation (visual, auditory, haptic). This universal system approach improves user engagement while managing complexity through consolidated architecture rather than separate specialized systems.
Data Source
AI summary
Adapting a virtual space to the cognitive state of a user as measured through an immersive environment. The probability or confidence that a particular cognitive state is classified correctly is output by a probability density classifier. The predictors are from active features and inactive features acquired through the immersive environment to reverse engineer the cognitive state of the user in the real world. The overall goal of the immersive environment is initialized by the user with a default of nurturing the cognitive state of the user.