Intelligent News Recommendation System for Automobile Based on Bio-Sensing and Physiological Computing

Abstract

With the development and application of technologies such as big data and artificial intelligence, the automotive industry is confronted with unprecedented challenges. New technologies are coming into the spotlight while potentials for transformation are growing under the surface, leading to the omnipresence of challenges across various fields. Under such circumstances, media and auto companies are both aware of an imminent change. The smart ring developed by our team can be applied to the driver fatigue detection system in industrial production— which helps media companies to access the vehicle networking system by monitoring the fatigue status of drivers, as well as their physiological changes when listening to the news. The vehicle networking system recommends personalized contents for users based on their portraits, using algorithm not only considers their interests and browsing behaviors, but also takes physiological and psychological responses of vehicle users when listening to the news as a key dimension based on the smart ring; therefore, it enables integration of online behavioral and offline physiological data, as such making up for where traditional algorithms fall short. Through intelligent interaction of media contents and human physiological signals, it changes the existing process of news production, manufacturing, distribution, collection, and feedback, and thus will become a model of the future smart recommendation system for in-vehicle infotainment. At present, research findings have been applied to two vehicle types of an auto company, which will come into the market in the first half of this year.