Data Augmentation for AI-Powered Smoking Cessation Support

This research explores a practical application of data augmentation techniques within the healthcare domain, specifically for improving conversational agents designed to help people quit smoking. The paper's contribution potentially lies in demonstrating the efficacy of these techniques in a sensitive area.

• •Applies data augmentation to improve AI's ability to support smoking cessation.
• •Focuses on conversational agents within support groups.
• •Potentially improves the effectiveness of AI-driven health interventions.