Paper Contents
Abstract
ABSTRACTThis study investigates how Conversational Artificial Intelligence (AI) can be used toimprove driver safety in Artificial Passenger (AP) systems. An intelligent conversationalsystem that can communicate with the driver, track behavioral indications, and reactinstantly to signs of exhaustion or distraction is embedded within cars as part of theArtificial Passenger concept. The AP uses a combination of machine learning models,emotion detection, and natural language processing (NLP) to prevent accidents brought onby inattention and sleepiness. The device uses adaptive language and active discussion toengage the driver while analyzing eye and vocal habits. The architecture, procedures, andperformance indicators that support safer driving environments are highlighted in thisstudy.Keywords: NLP, Conversational AI, Driver Safety, Artificial Passenger, and FatigueDetection
Copyright
Copyright © 2025 Aditya G. Thak. This is an open access article distributed under the Creative Commons Attribution License.
