BRAIN-COMPUTER INTERFACE APPLICATIONS IN RESPONSIBLE GAMING

Key Neural Markers for Betting Behavior

• Ventromedial prefrontal cortex (vmPFC): Modulates bet sizing and risk assessment
• Anterior insula: Registers probability sensitivity during active betting
• Striatum: Linked to reward anticipation and loss-chasing behaviors
• Frontal theta & beta oscillations: Associated with impulse control and loss-chasing

BCI-Enhanced Prediction & Intervention

Practical Applications

1. Real-Time Risk Detection

• Monitor neural signatures of impulsivity and poor decision-making
• Detect signs of cognitive fatigue or emotional distress
• Identify neural patterns of loss-chasing before behavioral manifestation

2. Enhanced Predictive Accuracy

• Traditional behavioral models: ~70% accuracy in identifying problem gambling
• BCI-augmented models: Up to 85% accuracy by adding neural data
• Improved early warning systems for high-risk episodes

3. Personalized Interventions

• Dynamic Pop-Up Messages: Triggered by neural indicators of impulsivity
• Automated Cooling-Off Periods: Enforced when EEG signals exceed risk thresholds
• Neurofeedback Training: Teach users to regulate brain activity associated with risky choices

Implementation Challenges

Future Outlook

• Large-scale field trials to validate effectiveness in real-world settings
• Integration of multiple physiological measures (heart rate, skin conductance)
• Development of international ethical standards for BCI in gambling
• Advancements in sensor technology to improve comfort and usability