Abstract
"This research explores the application of real-time EEG biofeedback to control Augmented Reality (AR) interfaces for neurodivergent individuals. By monitoring cognitive load markers (Theta/Beta ratios), the 'Cognitive Shroud' system dynamically filters visual noise from the user's environment, creating a 'subtractive' reality that prioritizes sensory safety."
- Excerpt from Research Proposal
Methodology
The study employs a mixed-methods approach, combining quantitative physiological data with qualitative phenomenological reports.
Phase 1: Lab Simulation
Controlled environment testing using VR/AR pass-through to measure baseline physiological responses to induced sensory stressors.
Phase 2: In-the-Wild
Longitudinal study with participants wearing light AR glasses in daily environments (e.g., supermarkets, transit).
Core Hypotheses
- H1: Automated visual decluttering triggered by high Beta wavs will result in a faster return to baseline heart-rate variability (HRV) than manual withdrawal techniques.
- H2: Users will report higher levels of "perceived autonomy" when the system operates as a background "shroud" rather than an active notification system.