Paper Contents
Abstract
ABSTRACTThis research explores how Conversational Artificial Intelligence (AI) can enhance driver safety within Artificial Passenger (AP) systems. The concept of an Artificial Passenger incorporates an intelligent conversational interface into vehicles that can engage with the driver, monitor behavioral cues, and promptly respond to indications of fatigue or distraction. The AP employs a blend of machine learning algorithms, emotion recognition, and natural language processing (NLP) to deter accidents caused by inattention and drowsiness. The system utilizes adaptive language and interactive dialogue to keep the driver engaged while assessing eye and vocal patterns. This framework, along with its methodologies and performance metrics, fosters safer driving conditions. The objective of this anticipatory and tailored interaction model is to minimize delays in reaction time and uphold attentive driving practices.
Copyright
Copyright © 2025 Aditya G. Thak. This is an open access article distributed under the Creative Commons Attribution License.
