TODAY is JULY 16, 2011 The proposed technology involves real-time screen sharing by consenting individuals with schizophrenia or thought disorders to study how their internet use, particularly exposure to content suggesting external forces (e.g., conspiracy theories, spiritual explanations) as causes of voice hearing, influences delusion formation. Key features include:Screen Sharing and Data Capture: A secure platform to monitor browsing behavior, content interactions, and emotional responses (via biometrics or eye-tracking) in real-time. Pseudo-Exposure to Stimuli: Controlled presentation of online content about external forces to observe its impact on delusional beliefs. Real-Time Analysis: Machine learning to track delusion triggers, thought patterns, and symptom severity, potentially using adapted speech analysis techniques. Clinical Integration: Correlating online behavior with clinical metrics (e.g., PANSS) to assess symptom exacerbation and inform interventions. Goals:Understand how troubling internet use (e.g., engaging with harmful content) exacerbates untreated psychosis. Identify triggers for delusion reinforcement and their impact on help-seeking behavior. Inform mental health policy with data for early detection, targeted digital interventions, and personalized treatment. Address cultural influences on interpreting voices and internet content.