This study proposes and verifies a method to estimate speech endings in medical interviews using non-verbal information like face direction and tone. This could lead to the development of more realistic virtual patients for Objective Structured Clinical Examination (OSCE), addressing the shortage of human simulated patients and improving training for medical students.
