Improve Customer Experience in Automotive Industry Through Advanced Driver Assistant Systems

Abstract

This manuscript explores the impact of emerging technologies in the automotive industry, specifically focusing on enhancing the customer experience and driving safety. The study investigates the advantages of incorporating emotion-tracking technologies like facial coding and affective computing algorithms into Advanced Driver Assistant Systems (ADAS). A simulated experiment involving 20 participants uses facial coding systems to track emotional responses and statistical analysis to establish a connection between emotional states and driving behaviour. The research reveals a strong correlation between negative emotions and unsafe driving behaviour. The study proposes an ADAS system that utilizes emotional tracking to provide real-time feedback to drivers and adjust the driving environment accordingly. Although the study highlights the potential benefits of emotional tracking technology, it emphasizes the need for further research to refine and validate the proposed ADAS system and address privacy concerns. Overall, this research offers an innovative approach to improving driving experience and safety, contributing to integrating new technologies in the automotive sector.