Road traffic safety has become a critical area of research due to the increasing number of accidents caused by driver distraction. In order to address this issue, the European Union has introduced Regulation (EU) 2019/2144, which requires the integration of Advanced Driver Distraction Warning Systems (ADDWS) into all newly manufactured vehicles by 2026. ADDWS operates within Driver Monitoring Systems (DMS) to detect driver distraction using visual and sensor-based monitoring techniques. Ensuring the effectiveness of these systems requires rigorous validation under controlled conditions. This research proposes an automated framework for validating the visual distraction of ADDWS by utilizing a humanoid robotic platform, Ameca Desktop, as a synthetic driver.